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<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:dcterms="http://purl.org/dc/terms/" xmlns:prism="http://prismstandard.org/namespaces/1.2/basic/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns="http://purl.org/rss/1.0/"><channel rdf:about="http://www.mrijournal.com//inpress?rss=yes"><title>Magnetic Resonance Imaging - Articles in Press</title><description>Magnetic Resonance Imaging RSS feed: Articles in Press. 
 MAGNETIC RESONANCE IMAGING (MRI)  is the first international multidisciplinary journal encompassing physical, life, and clinical 
science investigations as they relate to the development and use of magnetic resonance imaging.   MRI  is dedicated to both basic 
research and medical applications, providing a single forum for communication among radiologists, physicists, chemists, biochemists, 
biologists, engineers, internists, pathologists, physiologists, computer scientists, and mathematicians.</description><link>http://www.mrijournal.com//inpress?rss=yes</link><dc:publisher>Elsevier Inc.</dc:publisher><dc:language>en</dc:language><dc:rights> © 2010 Elsevier Inc. All rights reserved. </dc:rights><prism:publicationName>Magnetic Resonance Imaging</prism:publicationName><prism:issn>0730-725X</prism:issn><prism:publicationDate>2010-09-02</prism:publicationDate><prism:copyright> © 2010 Elsevier Inc. All rights reserved. </prism:copyright><prism:rightsAgent>healthpermissions@elsevier.com</prism:rightsAgent><items><rdf:Seq><rdf:li rdf:resource="http://www.mrijournal.com/article/PIIS0730725X10001773/abstract?rss=yes"/><rdf:li rdf:resource="http://www.mrijournal.com/article/PIIS0730725X10002018/abstract?rss=yes"/><rdf:li rdf:resource="http://www.mrijournal.com/article/PIIS0730725X10001700/abstract?rss=yes"/><rdf:li rdf:resource="http://www.mrijournal.com/article/PIIS0730725X10001633/abstract?rss=yes"/><rdf:li rdf:resource="http://www.mrijournal.com/article/PIIS0730725X10001712/abstract?rss=yes"/><rdf:li rdf:resource="http://www.mrijournal.com/article/PIIS0730725X10001724/abstract?rss=yes"/><rdf:li rdf:resource="http://www.mrijournal.com/article/PIIS0730725X10001670/abstract?rss=yes"/><rdf:li rdf:resource="http://www.mrijournal.com/article/PIIS0730725X1000161X/abstract?rss=yes"/><rdf:li rdf:resource="http://www.mrijournal.com/article/PIIS0730725X10001657/abstract?rss=yes"/><rdf:li rdf:resource="http://www.mrijournal.com/article/PIIS0730725X10001694/abstract?rss=yes"/><rdf:li rdf:resource="http://www.mrijournal.com/article/PIIS0730725X10001591/abstract?rss=yes"/><rdf:li rdf:resource="http://www.mrijournal.com/article/PIIS0730725X10001608/abstract?rss=yes"/><rdf:li rdf:resource="http://www.mrijournal.com/article/PIIS0730725X10001621/abstract?rss=yes"/><rdf:li rdf:resource="http://www.mrijournal.com/article/PIIS0730725X10001645/abstract?rss=yes"/><rdf:li rdf:resource="http://www.mrijournal.com/article/PIIS0730725X10001669/abstract?rss=yes"/><rdf:li rdf:resource="http://www.mrijournal.com/article/PIIS0730725X10001682/abstract?rss=yes"/><rdf:li rdf:resource="http://www.mrijournal.com/article/PIIS0730725X10001542/abstract?rss=yes"/><rdf:li rdf:resource="http://www.mrijournal.com/article/PIIS0730725X10001566/abstract?rss=yes"/><rdf:li rdf:resource="http://www.mrijournal.com/article/PIIS0730725X1000158X/abstract?rss=yes"/><rdf:li rdf:resource="http://www.mrijournal.com/article/PIIS0730725X10001554/abstract?rss=yes"/><rdf:li rdf:resource="http://www.mrijournal.com/article/PIIS0730725X10001335/abstract?rss=yes"/><rdf:li rdf:resource="http://www.mrijournal.com/article/PIIS0730725X10001311/abstract?rss=yes"/><rdf:li rdf:resource="http://www.mrijournal.com/article/PIIS0730725X10001323/abstract?rss=yes"/><rdf:li rdf:resource="http://www.mrijournal.com/article/PIIS0730725X10000858/abstract?rss=yes"/><rdf:li rdf:resource="http://www.mrijournal.com/article/PIIS0730725X1000086X/abstract?rss=yes"/><rdf:li rdf:resource="http://www.mrijournal.com/article/PIIS0730725X10000834/abstract?rss=yes"/><rdf:li rdf:resource="http://www.mrijournal.com/article/PIIS0730725X10000652/abstract?rss=yes"/><rdf:li rdf:resource="http://www.mrijournal.com/article/PIIS0730725X10000883/abstract?rss=yes"/><rdf:li rdf:resource="http://www.mrijournal.com/article/PIIS0730725X10000895/abstract?rss=yes"/><rdf:li rdf:resource="http://www.mrijournal.com/article/PIIS0730725X10000561/abstract?rss=yes"/><rdf:li rdf:resource="http://www.mrijournal.com/article/PIIS0730725X10000846/abstract?rss=yes"/><rdf:li rdf:resource="http://www.mrijournal.com/article/PIIS0730725X10000913/abstract?rss=yes"/><rdf:li rdf:resource="http://www.mrijournal.com/article/PIIS0730725X10000950/abstract?rss=yes"/><rdf:li rdf:resource="http://www.mrijournal.com/article/PIIS0730725X10000548/abstract?rss=yes"/><rdf:li rdf:resource="http://www.mrijournal.com/article/PIIS0730725X10000901/abstract?rss=yes"/><rdf:li rdf:resource="http://www.mrijournal.com/article/PIIS0730725X10000597/abstract?rss=yes"/><rdf:li rdf:resource="http://www.mrijournal.com/article/PIIS0730725X10000299/abstract?rss=yes"/><rdf:li rdf:resource="http://www.mrijournal.com/article/PIIS0730725X10000251/abstract?rss=yes"/><rdf:li rdf:resource="http://www.mrijournal.com/article/PIIS0730725X09003208/abstract?rss=yes"/><rdf:li rdf:resource="http://www.mrijournal.com/article/PIIS0730725X09003166/abstract?rss=yes"/><rdf:li rdf:resource="http://www.mrijournal.com/article/PIIS0730725X0900318X/abstract?rss=yes"/><rdf:li rdf:resource="http://www.mrijournal.com/article/PIIS0730725X09003087/abstract?rss=yes"/><rdf:li rdf:resource="http://www.mrijournal.com/article/PIIS0730725X09003142/abstract?rss=yes"/></rdf:Seq></items></channel><item rdf:about="http://www.mrijournal.com/article/PIIS0730725X10001773/abstract?rss=yes"><title>Functional connectivity in the rat brain: a complex network approach - Corrected Proof</title><link>http://www.mrijournal.com/article/PIIS0730725X10001773/abstract?rss=yes</link><description>Abstract: Functional connectivity analyses of fMRI data can provide a wealth of information on the brain functional organization and have been widely applied to the study of the human brain. More recently, these methods have been extended to preclinical species, thus providing a powerful translational tool. Here, we review methods and findings of functional connectivity studies in the rat. More specifically, we focus on correlation analysis of pharmacological MRI (phMRI) responses, an approach that has enabled mapping the patterns of connectivity underlying major neurotransmitter systems in vivo. We also review the use of novel statistical approaches based on a network representation of the functional connectivity and their application to the study of the rat brain functional architecture.</description><dc:title>Functional connectivity in the rat brain: a complex network approach - Corrected Proof</dc:title><dc:creator>Angelo Bifone, Alessandro Gozzi, Adam J. Schwarz</dc:creator><dc:identifier>10.1016/j.mri.2010.07.001</dc:identifier><dc:source>Magnetic Resonance Imaging (2010)</dc:source><dc:date>2010-09-02</dc:date><prism:publicationName>Magnetic Resonance Imaging</prism:publicationName><prism:publicationDate>2010-09-02</prism:publicationDate></item><item rdf:about="http://www.mrijournal.com/article/PIIS0730725X10002018/abstract?rss=yes"><title>Preface - Corrected Proof</title><link>http://www.mrijournal.com/article/PIIS0730725X10002018/abstract?rss=yes</link><description>Any fundamental advancement for brain investigation lies in the discovery of new physical ways and, consequently, in the invention of new original modalities which will allow the observation of the physiological and metabolic processes occurring during brain activity. Such processes have a time scale which ranges from milliseconds to several seconds, while some of the most successful modalities, like functional magnetic resonance imaging (fMRI) or magnetic resonance spectroscopy, are rather slow. It is then more and more urgent on one hand to find new efficient techniques and, on the other, to try to combine the existing modalities in order to gather information through the better features of each of them.</description><dc:title>Preface - Corrected Proof</dc:title><dc:creator>Bruno Maraviglia</dc:creator><dc:identifier>10.1016/j.mri.2010.07.002</dc:identifier><dc:source>Magnetic Resonance Imaging (2010)</dc:source><dc:date>2010-09-02</dc:date><prism:publicationName>Magnetic Resonance Imaging</prism:publicationName><prism:publicationDate>2010-09-02</prism:publicationDate></item><item rdf:about="http://www.mrijournal.com/article/PIIS0730725X10001700/abstract?rss=yes"><title>MR findings of focal eosinophilic liver disease using gadoxetic acid - Corrected Proof</title><link>http://www.mrijournal.com/article/PIIS0730725X10001700/abstract?rss=yes</link><description>Abstract: Purpose: The purpose of this study was to describe magnetic resonance (MR) findings of focal eosinophilic liver disease using gadoxetic acid (Gd-EOB-DTPA).Materials and Methods: Nineteen patients (M:F=14:5; age range, 26–66 years; mean age, 50 years) with 35 focal eosinophilic liver lesions were included after reviewing the medical records of 482 patients who underwent Gd-EOB-DTPA-enhanced MR imaging (MRI) on a 3.0-T unit between April 2008 and June 2009. The diagnosis of focal eosinophilic liver disease was established by means of percutaneous liver biopsy or surgery and consistent clinical findings. Two radiologists retrospectively reviewed MR images with consensus. Margin, shape and distribution of the lesions were analyzed. We also evaluated signal intensity of focal hepatic lesions on T1- and T2-weighted images and patterns of enhancement in dynamic contrast study.Results: The mean diameter of the lesions was 1.7 cm (range, 0.7–6.1 cm). Most of the focal eosinophilic liver lesions [n=31/35 (88.6%)] had poorly defined margins. They were usually isointense or slightly hypointense [n=34/35 (97.2%)] on T1-weighted images and hyperintense [n=32/35 (91.4%)] on T2-weighted images. Dynamic study showed enhancement (rim or homogeneous) on the arterial phase [n=21/35 (60%)] and hypointensity on the late venous phase [n=31/35 (88.6%)]. All the lesions were hypointense on the hepatobiliary phase images.Conclusion: Focal eosinophilic liver lesions tend to be hyperintense on the arterial phase and hypointense on the late venous phase during dynamic study of Gd-EOB-DTPA-enhanced MRI. Although these findings mimic other focal hepatic lesions, poorly defined margins of the lesions and peripheral eosinophilia might help distinguish focal eosinophilic liver disease from other hepatic lesions.</description><dc:title>MR findings of focal eosinophilic liver disease using gadoxetic acid - Corrected Proof</dc:title><dc:creator>Jongmee Lee, Cheol Min Park, Kyeong Ah Kim, Chang Hee Lee, Jae Woong Choi</dc:creator><dc:identifier>10.1016/j.mri.2010.06.013</dc:identifier><dc:source>Magnetic Resonance Imaging (2010)</dc:source><dc:date>2010-08-30</dc:date><prism:publicationName>Magnetic Resonance Imaging</prism:publicationName><prism:publicationDate>2010-08-30</prism:publicationDate></item><item rdf:about="http://www.mrijournal.com/article/PIIS0730725X10001633/abstract?rss=yes"><title>High-resolution in vivo diffusion tensor imaging of the injured cat spinal cord using self-navigated, interleaved, variable-density spiral acquisition (SNAILS-DTI) - Corrected Proof</title><link>http://www.mrijournal.com/article/PIIS0730725X10001633/abstract?rss=yes</link><description>Abstract: Diffusion tensor magnetic resonance imaging (DTI) is useful for studying the microstructural changes in the spinal cord following traumatic injury; however, image quality is generally poor due to the small size of the spinal cord, physiological motion and susceptibility artifacts. Self-navigated, interleaved, variable-density spiral diffusion tensor imaging (SNAILS-DTI) is a distinctive pulse sequence that bypasses many of the challenges associated with DTI of the spinal cord, particularly if imaging gradient hardware is of conventional quality. In the current study, we have demonstrated the feasibility of implementing SNAILS-DTI on a clinical 3.0-T MR scanner and examined the effect of navigator filter parameters on image quality and reconstruction time. Results demonstrate high-quality, high-resolution (546 μm×546 μm) in vivo DTI images of the cat spinal cord after traumatic spinal cord injury.</description><dc:title>High-resolution in vivo diffusion tensor imaging of the injured cat spinal cord using self-navigated, interleaved, variable-density spiral acquisition (SNAILS-DTI) - Corrected Proof</dc:title><dc:creator>Benjamin M. Ellingson, Olawale Sulaiman, Shekar N. Kurpad</dc:creator><dc:identifier>10.1016/j.mri.2010.06.006</dc:identifier><dc:source>Magnetic Resonance Imaging (2010)</dc:source><dc:date>2010-08-27</dc:date><prism:publicationName>Magnetic Resonance Imaging</prism:publicationName><prism:publicationDate>2010-08-27</prism:publicationDate></item><item rdf:about="http://www.mrijournal.com/article/PIIS0730725X10001712/abstract?rss=yes"><title>Magnetic resonance image enhancement using stochastic resonance in Fourier domain - Corrected Proof</title><link>http://www.mrijournal.com/article/PIIS0730725X10001712/abstract?rss=yes</link><description>Abstract: Objective: In general, low-field MRI scanners such as the 0.5- and 1-T ones produce images that are poor in quality. The motivation of this study was to lessen the noise and enhance the signal such that the image quality is improved. Here, we propose a new approach using stochastic resonance (SR)-based transform in Fourier space for the enhancement of magnetic resonance images of brain lesions, by utilizing an optimized level of Gaussian fluctuation that maximizes signal-to-noise ratio (SNR).Materials and Methods: We acquired the T1-weighted MR image of the brain in DICOM format. We processed the original MR image using the proposed SR procedure. We then tested our approach on about 60 patients of different age groups with different lesions, such as arteriovenous malformation, benign lesion and malignant tumor, and illustrated the image enhancement by using just-noticeable difference visually as well as by utilizing the relative enhancement factor quantitatively.Results: Our method can restore the original image from noisy image and optimally enhance the edges or boundaries of the tissues, clarify indistinct structural brain lesions without producing ringing artifacts, as well as delineate the edematous area, active tumor zone, lesion heterogeneity or morphology, and vascular abnormality. The proposed technique improves the enhancement factor better than the conventional techniques like the Wiener- and wavelet-based procedures.Conclusions: The proposed method can readily enhance the image fusing a unique constructive interaction of noise and signal, and enables improved diagnosis over conventional methods. The approach well illustrates the novel potential of using a small amount of Gaussian noise to improve the image quality.</description><dc:title>Magnetic resonance image enhancement using stochastic resonance in Fourier domain - Corrected Proof</dc:title><dc:creator>V.P. Subramanyam Rallabandi, Prasun Kumar Roy</dc:creator><dc:identifier>10.1016/j.mri.2010.06.014</dc:identifier><dc:source>Magnetic Resonance Imaging (2010)</dc:source><dc:date>2010-08-27</dc:date><prism:publicationName>Magnetic Resonance Imaging</prism:publicationName><prism:publicationDate>2010-08-27</prism:publicationDate></item><item rdf:about="http://www.mrijournal.com/article/PIIS0730725X10001724/abstract?rss=yes"><title>N-Acetyl peak in MR spectra of intracranial metastatic mucinous adenocarcinomas - Corrected Proof</title><link>http://www.mrijournal.com/article/PIIS0730725X10001724/abstract?rss=yes</link><description>Abstract: Absence of N-acetylaspartate (NAA) is one important diagnostic criterion of MR spectroscopy (MRS) that may suggest that an intracranial mass lesion is a metastasis. We report two cases of histopathology-confirmed intracranial metastatic mucinous adenocarcinoma, which predominantly showed a large metabolite peak at 2.0 ppm, mimicking an NAA peak of normal brain tissue. This finding could be of help in the interpretation of MRS in cases of intracranial enhancing mass lesions, metastases or gliomas.</description><dc:title>N-Acetyl peak in MR spectra of intracranial metastatic mucinous adenocarcinomas - Corrected Proof</dc:title><dc:creator>Xiang Liu, Barbara I. Germin, Jianhui Zhong, Sven Ekholm</dc:creator><dc:identifier>10.1016/j.mri.2010.06.015</dc:identifier><dc:source>Magnetic Resonance Imaging (2010)</dc:source><dc:date>2010-08-27</dc:date><prism:publicationName>Magnetic Resonance Imaging</prism:publicationName><prism:publicationDate>2010-08-27</prism:publicationDate></item><item rdf:about="http://www.mrijournal.com/article/PIIS0730725X10001670/abstract?rss=yes"><title>Analyzing diffusion tensor images with ghosting artifacts: the effects of direct and indirect normalization - Corrected Proof</title><link>http://www.mrijournal.com/article/PIIS0730725X10001670/abstract?rss=yes</link><description>Abstract: The current study aims to assess the applicability of direct or indirect normalization for the analysis of fractional anisotropy (FA) maps in the context of diffusion-weighted images (DWIs) contaminated by ghosting artifacts. We found that FA maps acquired by direct normalization showed generally higher anisotropy than indirect normalization, and the disparities were aggravated by the presence of ghosting artifacts in DWIs. The voxel-wise statistical comparisons demonstrated that indirect normalization reduced the influence of artifacts and enhanced the sensitivity of detecting anisotropy differences between groups. This suggested that images contaminated with ghosting artifacts can be sensibly analyzed using indirect normalization.</description><dc:title>Analyzing diffusion tensor images with ghosting artifacts: the effects of direct and indirect normalization - Corrected Proof</dc:title><dc:creator>Shan Shen, Annette Sterr</dc:creator><dc:identifier>10.1016/j.mri.2010.06.010</dc:identifier><dc:source>Magnetic Resonance Imaging (2010)</dc:source><dc:date>2010-08-13</dc:date><prism:publicationName>Magnetic Resonance Imaging</prism:publicationName><prism:publicationDate>2010-08-13</prism:publicationDate></item><item rdf:about="http://www.mrijournal.com/article/PIIS0730725X1000161X/abstract?rss=yes"><title>Three-dimensional T1, T2 and proton density mapping with inversion recovery balanced SSFP - Corrected Proof</title><link>http://www.mrijournal.com/article/PIIS0730725X1000161X/abstract?rss=yes</link><description>Abstract: By combining a balanced steady-state free precession (bSSFP) readout with an initial inversion pulse, all three contrast parameters, T1, T2 and proton density (M0), may be rapidly calculated from the signal progression in time. However, here it is shown that this technique is quite sensitive to variation in the applied transmit RF (B1) field, leading to pronounced errors in calculated values. Two-dimensional (2D) acquisitions are taxed to accurately quantify the relaxation, as the short RF pulses required by SSFP's rapid TR contain a broad spectrum of excitation angles. A 3D excitation using a large diameter excitation coil was able to correctly quantify the parameters. While the extreme B1 sensitivity was previously problematic and has precluded use of IR-bSSFP for relaxometry, in this work these obstacles were significantly reduced, allowing the rapid quantification of T1, T2 and M0. The results may further be used to simulate image contrast from common sequences, such as a T1-weighted or fluid-attenuated inversion recovery (FLAIR) examination.</description><dc:title>Three-dimensional T1, T2 and proton density mapping with inversion recovery balanced SSFP - Corrected Proof</dc:title><dc:creator>Rexford D. Newbould, Stefan T. Skare, Marcus T. Alley, Garry E. Gold, Roland Bammer</dc:creator><dc:identifier>10.1016/j.mri.2010.06.004</dc:identifier><dc:source>Magnetic Resonance Imaging (2010)</dc:source><dc:date>2010-08-09</dc:date><prism:publicationName>Magnetic Resonance Imaging</prism:publicationName><prism:publicationDate>2010-08-09</prism:publicationDate></item><item rdf:about="http://www.mrijournal.com/article/PIIS0730725X10001657/abstract?rss=yes"><title>Highly undersampled supraaortic MRA at 3.0 T: initial results with parallel imaging in two directions using a 16-channel neurovascular coil and parallel imaging factors up to 16 - Corrected Proof</title><link>http://www.mrijournal.com/article/PIIS0730725X10001657/abstract?rss=yes</link><description>Abstract: Purpose: To present the feasibility of highly undersampled contrast-enhanced MRA (CE-MRA) of the supraaortic arteries with a 16-channel neurovascular coil at 3.0 T using parallel imaging in two directions with parallel imaging factors (PIF) up to 16.Materials and Methods: Institutional review board approval and informed consent were obtained. In a prospective study, MRA protocols including PIF of 1, 2, 4, 9 and 16 yielding a spatial resolution from 0.81×0.81×1.0 mm3 to 0.46×.46×0.98 mm3 were acquired. In 32 examinations, image quality and vascular segments were rated independently by two radiologists. SNR estimations were performed for all MRA protocols.Results: The use of high PIF allowed to shorten acquisition time from 2:09 min down to 1:13 min and to increase the anatomic coverage while maintaining or even increasing spatial resolution down to 0.46×0.46×0.98 mm3. The larger anatomic coverage that was achieved with the use of high PIF allowed for visualization of vascular structures that were not covered by the standard protocols. Despite the resulting lower SNR using high PIF, image quality was constantly rated to be adequate for diagnosis or better in all cases.Conclusion: The use of high PIF yielded diagnostic image quality and allowed to increase the anatomic coverage while maintaining or even improving spatial resolution and shortening the acquisition time.</description><dc:title>Highly undersampled supraaortic MRA at 3.0 T: initial results with parallel imaging in two directions using a 16-channel neurovascular coil and parallel imaging factors up to 16 - Corrected Proof</dc:title><dc:creator>Guido M. Kukuk, Dariusch R. Hadizadeh, Jürgen Gieseke, Marcus von Falkenhausen, Ingrid Böhm, Renate Semrau, Horst Urbach, Arne Koscielny, Frauke Verrel, Kai Wilhelm, Hans H. Schild, Winfried A. Willinek</dc:creator><dc:identifier>10.1016/j.mri.2010.06.008</dc:identifier><dc:source>Magnetic Resonance Imaging (2010)</dc:source><dc:date>2010-08-09</dc:date><prism:publicationName>Magnetic Resonance Imaging</prism:publicationName><prism:publicationDate>2010-08-09</prism:publicationDate></item><item rdf:about="http://www.mrijournal.com/article/PIIS0730725X10001694/abstract?rss=yes"><title>Spin-echo SS-PARSE: a PARSE MRI method to estimate frequency, R2 and R2′ in a single shot - Corrected Proof</title><link>http://www.mrijournal.com/article/PIIS0730725X10001694/abstract?rss=yes</link><description>Abstract: Spin-echo signals allow separate measurements of irreversible and reversible relaxation rates in MRI. A spin-echo version of single-shot parameter assessment by retrieval from signal encoding (SE-SS-PARSE) method has been developed to quantitatively and accurately map transverse magnetization magnitude, frequency, irreversible and reversible relaxation rates in a single shot. These image parameters can be applied to fMRI research as well as a number of neuroimaging applications. Following a description of the signal model, this article demonstrates the performance of SE-SS-PARSE in simulations with different noise levels and in phantom experiments. By solving an inverse problem, the estimated irreversible and reversible relaxation rates in SE-SS-PARSE are highly correlated with the reference relaxation rates from a standard technique (correlation coefficients: r1=0.9636 for reversible relaxation rate, r2=0.9788 for irreversible relaxation rate). The rapid SE-SS-PARSE technique has the potential to monitor transient changes in R2 and R2′ while minimizing motion artifacts and also is free of geometric and ghosting errors. It is expected that this fast scan technique will find applications in both scientific research and clinical diagnosis.</description><dc:title>Spin-echo SS-PARSE: a PARSE MRI method to estimate frequency, R2 and R2′ in a single shot - Corrected Proof</dc:title><dc:creator>Ningzhi Li, Mark Bolding, Donald B. Twieg</dc:creator><dc:identifier>10.1016/j.mri.2010.06.012</dc:identifier><dc:source>Magnetic Resonance Imaging (2010)</dc:source><dc:date>2010-08-09</dc:date><prism:publicationName>Magnetic Resonance Imaging</prism:publicationName><prism:publicationDate>2010-08-09</prism:publicationDate></item><item rdf:about="http://www.mrijournal.com/article/PIIS0730725X10001591/abstract?rss=yes"><title>Measurement of relative cerebral blood volume using BOLD contrast and mild hypoxic hypoxia - Corrected Proof</title><link>http://www.mrijournal.com/article/PIIS0730725X10001591/abstract?rss=yes</link><description>Abstract: Relative cerebral blood volume (CBV) was estimated using a mild hypoxic challenge in humans, combined with BOLD contrast gradient-echo imaging at 3 T. Subjects breathed 16% inspired oxygen, eliciting mild arterial desaturation. The fractional BOLD signal change induced by mild hypoxia is expected to be proportional to CBV under conditions in which there are negligible changes in cerebral perfusion. By comparing the regional BOLD signal changes arising with the transition between normoxia and mild hypoxia, we calculated CBV ratios of 1.5±0.2 (mean±S.D.) for cortical gray matter to white matter and 1.0±0.3 for cortical gray matter to deep gray matter.</description><dc:title>Measurement of relative cerebral blood volume using BOLD contrast and mild hypoxic hypoxia - Corrected Proof</dc:title><dc:creator>Richard G. Wise, Kyle T.S. Pattinson, Daniel P. Bulte, Richard Rogers, Irene Tracey, Paul M. Matthews, Peter Jezzard</dc:creator><dc:identifier>10.1016/j.mri.2010.06.002</dc:identifier><dc:source>Magnetic Resonance Imaging (2010)</dc:source><dc:date>2010-08-05</dc:date><prism:publicationName>Magnetic Resonance Imaging</prism:publicationName><prism:publicationDate>2010-08-05</prism:publicationDate></item><item rdf:about="http://www.mrijournal.com/article/PIIS0730725X10001608/abstract?rss=yes"><title>Interrelationships between 3-T-MRI-derived cortical and trabecular bone structure parameters and quantitative-computed-tomography-derivedbone mineral density - Corrected Proof</title><link>http://www.mrijournal.com/article/PIIS0730725X10001608/abstract?rss=yes</link><description>Abstract: Recently, 3-T magnetic resonance imaging (MRI) has been introduced for bone imaging. Through higher signal-to-noise ratios, as compared to 1.5-T MRI, it promises to be a more powerful tool for the assessment of cortical and trabecular bone measures. The goal of our study was to compare MRI-derived cortical and trabecular bone measures to quantitative computed tomography (QCT)-derived bone mineral density (BMD). Using 3-T MRI in 51 postmenopausal women, apparent (app.) measures of bone volume/total volume, trabecular number (Tb.N), trabecular thickness (Tb.Th) and trabecular separation were derived at the distal radius, distal tibia and calcaneus. Cortical thickness (Ct.Th) was calculated at the distal radius and distal tibia. These measures were compared to QCT-derived BMD of the spine, hip and radius. Significant correlations (⁎P&lt;.05; ⁎⁎P&lt;.001; ⁎⁎⁎P&lt;.0001) were found between spine BMD- and MRI-derived Ct.Th (rradius=.55, ⁎P&lt;.05; rtibia=.67, ⁎⁎⁎P&lt;.0001) and app. Tb.N (rradius=.33, ⁎P&lt;.05; rtibia=.35, ⁎P&lt;.05) at the radius and tibia. Furthermore, within the first 10 mm at the radius, an inverse correlation for Ct.Th and app. BV/TV (r6mm=−.56, P&lt;.001; r10mm=−.36, P&lt;.05) and app. Tb.Th (r6mm=−.54, P&lt;.001; r10mm=−.41, P&lt;.05) was found.</description><dc:title>Interrelationships between 3-T-MRI-derived cortical and trabecular bone structure parameters and quantitative-computed-tomography-derivedbone mineral density - Corrected Proof</dc:title><dc:creator>Ahi Sema Issever, Thomas M. Link, David Newitt, Thelma Munoz, Sharmila Majumdar</dc:creator><dc:identifier>10.1016/j.mri.2010.06.003</dc:identifier><dc:source>Magnetic Resonance Imaging (2010)</dc:source><dc:date>2010-08-05</dc:date><prism:publicationName>Magnetic Resonance Imaging</prism:publicationName><prism:publicationDate>2010-08-05</prism:publicationDate></item><item rdf:about="http://www.mrijournal.com/article/PIIS0730725X10001621/abstract?rss=yes"><title>Identification of efferent flow in the superior vena cava and azygos vein confluence using cine phase-contrast MRI: speculation of the role of the azygos arch valves - Corrected Proof</title><link>http://www.mrijournal.com/article/PIIS0730725X10001621/abstract?rss=yes</link><description>Abstract: Purpose: We aimed to evaluate flow patterns in the superior vena cava (SVC) and azygos vein confluence with cine phase-contrast magnetic resonance imaging with consideration for the role played by the azygos arch valves.Materials and Methods: Two-dimensional cine phase-contrast magnetic resonance images of the SVC and azygos vein confluence were prospectively acquired in 10 healthy volunteers. Flow directions during the cardiac cycle were evaluated quantitatively using sequential flow profile graphs obtained from each orthogonal image and affirmed visually by two radiologists from the oblique sagittal cine images.Results: Although the blood in the SVC and azygos vein confluence had an afferent flow during the systolic phase, a slight temporal efferent flow during the diastolic phase was quantitatively observed in all cases. Flow in the SVC can also be confirmed visually. The average velocity, average maximum afferent velocity during the systolic phase and average maximum efferent velocity during the diastolic phase of the SVC were 8.7±2.4, 19.9±3.7 and −1.0±3.2 cm/s, respectively; for the azygos vein confluence, these values were 2.2±1.5, 7.1±2.6 and −1.5±1.1 cm/s, respectively.Conclusion: We verified that a slight temporal efferent flow exists in the SVC and azygos vein confluence during the diastolic phase, which suggests that the usual role of the azygos arch valves is to prevent this physiological retrograde flow.</description><dc:title>Identification of efferent flow in the superior vena cava and azygos vein confluence using cine phase-contrast MRI: speculation of the role of the azygos arch valves - Corrected Proof</dc:title><dc:creator>Satoru Morita, Kazufumi Suzuki, Ai Masukawa, Shinya Kojima, Masami Hirata, Eiko Ueno</dc:creator><dc:identifier>10.1016/j.mri.2010.06.005</dc:identifier><dc:source>Magnetic Resonance Imaging (2010)</dc:source><dc:date>2010-08-05</dc:date><prism:publicationName>Magnetic Resonance Imaging</prism:publicationName><prism:publicationDate>2010-08-05</prism:publicationDate></item><item rdf:about="http://www.mrijournal.com/article/PIIS0730725X10001645/abstract?rss=yes"><title>Brain metabolism and cognitive impairment in HIV infection: a 3-T magnetic resonance spectroscopy study - Corrected Proof</title><link>http://www.mrijournal.com/article/PIIS0730725X10001645/abstract?rss=yes</link><description>Abstract: Background and Purpose: Human immunodeficiency virus (HIV)-associated dementia (HAD) has been extensively studied using magnetic resonance spectroscopy (MRS) at field strengths of 1.5 T. Higher magnetic field strengths (such as 3 T) allow for more reliable determination of certain compounds, such as glutamate (Glu) and glutamine (Gln). The current study was undertaken to investigate the utility of 3-T MRS for evaluating HIV+ patients with different levels of cognitive impairment with emphasis on the measurement of Glu and Glx (the sum of Glu and Gln).Methods: Eighty-six HIV+ subjects were evaluated at 3 T using quantitative short echo time single-voxel MRS of frontal white matter (FWM) and basal ganglia (BG). Subjects were divided into three groups according to the Memorial Sloan Kettering (MSK) HIV dementia stage: 21 had normal cognition (NC) (MSK 0), 31 had mild cognitive impairment (MCI) without dementia (clinical MSK stage=0.5), and 34 had dementia (HAD) (MSK≥1). HIV+ subjects had also undergone standardized cognitive testing covering the domains of executive function, verbal memory, attention, information processing speed and motor and psychomotor speed. Between-group differences in metabolite levels in FWM and BG were evaluated using ANOVA. Pearson correlation coefficients were used to explore the associations between the Glu and Glx metabolites and neurocognitive results.Results: FWM Glx was lower in HAD (8.1±2.1 mM) compared to both the MCI (9.17±2.1 mM) and NC groups (10.0±1.6 mM) (P=.006). FWM myo-inositol (mI) was higher in HAD (4.15±0.75 mM) compared to both MCI (3.86±0.85 mM) and NC status (3.4±0.67 mM) (P=.006). FWM Glx/creatine (Cr) was lower and FWM mI/Cr was significantly higher in the HAD compared to the MCI and NC groups (P=.01 and P=.004, respectively). BG N-acetyl aspartate (NAA) was lower in the HAD group (6.79±1.53 mM), compared to the MCI (7.5±1.06 mM) and NC (7.6±1.01 mM) groups (P=.036). Significant negative correlations were observed between Glu, Glx and NAA concentrations with Trail-Making Test B (P=.006, P=.0001 and P=.007, respectively), and significant positive correlation was found with the Digit symbol test (P=.02, P=.002 and P=.008, respectively). FWM Glx and NAA concentrations showed negative correlation with Grooved Pegboard nondominant hand (P=.02 and P=.04, respectively).Conclusion: Patients with HAD have lower levels of Glx concentrations and Glx/Cr ratio in FWM, which was associated with impaired performance in specific cognitive domains, including executive functioning, fine motor, attention and working memory performance. Three-Tesla MRS measurements of Glx may be a useful indicator of neuronal loss/dysfunction in patients with HIV infection.</description><dc:title>Brain metabolism and cognitive impairment in HIV infection: a 3-T magnetic resonance spectroscopy study - Corrected Proof</dc:title><dc:creator>Mona A. Mohamed, Peter B. Barker, Richard L. Skolasky, Ola A. Selnes, Richard T. Moxley, Martin G. Pomper, Ned C. Sacktor</dc:creator><dc:identifier>10.1016/j.mri.2010.06.007</dc:identifier><dc:source>Magnetic Resonance Imaging (2010)</dc:source><dc:date>2010-08-05</dc:date><prism:publicationName>Magnetic Resonance Imaging</prism:publicationName><prism:publicationDate>2010-08-05</prism:publicationDate></item><item rdf:about="http://www.mrijournal.com/article/PIIS0730725X10001669/abstract?rss=yes"><title>MR Imaging of total hip arthroplasty: comparison among sequences to study the sciatic nerve at 1.5 T - Corrected Proof</title><link>http://www.mrijournal.com/article/PIIS0730725X10001669/abstract?rss=yes</link><description>Abstract: Purpose: This study was done to test a series of MR sequences for evaluating the sciatic nerve after total hip arthroplasty (THA).Material and Methods: The study protocol was approved by the institutional review board. Informed consent was obtained from all patients. Twenty-five patients (11 men and 14 women mean age: 62.3±5.7 years) with THA were included in this prospective study. MRI protocol included sequences that were preliminarily tailored for nerve imaging in patients with THA: proton density (PD)-weighted turbo SE, T1-weighted turbo SE (TSE) 3 mm thickness, T1-weighted turbo SE (TSE) 6 mm thickness, T1-weighted turbo SE with high bandwidth (TSE hBW), T2- weighted TSE, T2-weighted with fat saturation and short-tau inversion recovery (STIR). For each sequence, we evaluated the visibility of the sciatic nerve using a semiquantitative score (0=total masking; 1=insufficient visibility; 2=sufficient visibility; 3=optimal visibility). The sum of the scores given to each sequence was divided by the maximal sum, obtaining a percentage visibility index. Friedman and sign tests were used for statistical analysis.Results: MR examination time was approximately 40 min. No patients reported pain, heat or symptoms related to nerve stimulation. The visibility index ranged between 88% and 70% for the first four sequences. The T1-weighted TSE hBW sequence had the best visibility index (P&lt;.05). The visibility indexes of the first four sequences were significantly higher (P&lt;.004, sign test) than those of the remaining three sequences.Conclusion: The sciatic nerve could be studied at 1.5 T in patients following THA. The nerve is better visualized with T1-weighted TSE hBW sequences. On T2-weighted sequences and STIR, the visibility of the nerve is low.</description><dc:title>MR Imaging of total hip arthroplasty: comparison among sequences to study the sciatic nerve at 1.5 T - Corrected Proof</dc:title><dc:creator>Alberto Tagliafico, Andrea Podestà, Andrea Assini, Leonardo Boccacini, Giovanni Serafini, Massimo Calabrese, Carlo Martinoli</dc:creator><dc:identifier>10.1016/j.mri.2010.06.009</dc:identifier><dc:source>Magnetic Resonance Imaging (2010)</dc:source><dc:date>2010-08-05</dc:date><prism:publicationName>Magnetic Resonance Imaging</prism:publicationName><prism:publicationDate>2010-08-05</prism:publicationDate></item><item rdf:about="http://www.mrijournal.com/article/PIIS0730725X10001682/abstract?rss=yes"><title>Unambiguous identification of superparamagnetic iron oxide particles through quantitative susceptibility mapping of the nonlinear response to magnetic fields - Corrected Proof</title><link>http://www.mrijournal.com/article/PIIS0730725X10001682/abstract?rss=yes</link><description>Abstract: Superparamagnetic iron oxide (SPIO) particles generate signal void regions on gradient echo images due to their strong magnetization. In practice, the signal void region might be indistinguishable from that generated by air. However, the response of SPIO to an externally applied magnetic field is nonlinear. Magnetization of SPIO saturates at around 1 T while magnetization of water and air increase linearly with field strength. Phantom experiment and mice experiments demonstrated the feasibility of a nonambiguous identification of superparamagnetic contrast agents.</description><dc:title>Unambiguous identification of superparamagnetic iron oxide particles through quantitative susceptibility mapping of the nonlinear response to magnetic fields - Corrected Proof</dc:title><dc:creator>Tian Liu, Pascal Spincemaille, Ludovic de Rochefort, Richard Wong, Martin Prince, Yi Wang</dc:creator><dc:identifier>10.1016/j.mri.2010.06.011</dc:identifier><dc:source>Magnetic Resonance Imaging (2010)</dc:source><dc:date>2010-08-05</dc:date><prism:publicationName>Magnetic Resonance Imaging</prism:publicationName><prism:publicationDate>2010-08-05</prism:publicationDate><prism:section>TECHNICAL NOTE</prism:section></item><item rdf:about="http://www.mrijournal.com/article/PIIS0730725X10001542/abstract?rss=yes"><title>Noise and nonlinear estimation with optimal schemes in DTI - Corrected Proof</title><link>http://www.mrijournal.com/article/PIIS0730725X10001542/abstract?rss=yes</link><description>Abstract: In general, the estimation of the diffusion properties for diffusion tensor experiments (DTI) is accomplished via least squares estimation (LSE). The technique requires applying the logarithm to the measurements, which causes bad propagation of errors. Moreover, the way noise is injected to the equations invalidates the least squares estimate as the best linear unbiased estimate. Nonlinear estimation (NE), despite its longer computation time, does not possess any of these problems. However, all of the conditions and optimization methods developed in the past are based on the coefficient matrix obtained in a LSE setup. In this article, NE for DTI is analyzed to demonstrate that any result obtained relatively easily in a linear algebra setup about the coefficient matrix can be applied to the more complicated NE framework. The data, obtained using non-optimal and optimized diffusion gradient schemes, are processed with NE. In comparison with LSE, the results show significant improvements, especially for the optimization criterion. However, NE does not resolve the existing conflicts and ambiguities displayed with LSE methods.</description><dc:title>Noise and nonlinear estimation with optimal schemes in DTI - Corrected Proof</dc:title><dc:creator>Alpay Özcan</dc:creator><dc:identifier>10.1016/j.mri.2010.04.001</dc:identifier><dc:source>Magnetic Resonance Imaging (2010)</dc:source><dc:date>2010-07-26</dc:date><prism:publicationName>Magnetic Resonance Imaging</prism:publicationName><prism:publicationDate>2010-07-26</prism:publicationDate></item><item rdf:about="http://www.mrijournal.com/article/PIIS0730725X10001566/abstract?rss=yes"><title>White matter abnormalities in children and adolescents with temporal lobe epilepsy - Corrected Proof</title><link>http://www.mrijournal.com/article/PIIS0730725X10001566/abstract?rss=yes</link><description>Abstract: Background and Purpose: The widespread propagation of synchronized neuronal firing in seizure disorders may affect cortical and subcortical brain regions. Diffusion tensor imaging (DTI) can noninvasively quantify white matter integrity. The purpose of this study was to investigate the abnormal changes of white matter in children and adolescents with focal temporal lobe epilepsy (TLE) using DTI.Materials and Methods: Eight patients with clinically diagnosed TLE and eight age- and sex-matched healthy controls were studied. DTI images were obtained with a 3-T magnetic resonance imaging scanner. The epileptic foci were localized with magnetoencephalography. Fractional anisotropy (FA), mean diffusivity (MD), parallel (λ||) and perpendicular (λ⊥) diffusivities in the genu of the corpus callosum, splenium of the corpus callosum (SCC), external capsule (EC), anterior limbs of the internal capsule (AIC), and the posterior limbs of the internal capsule (PIC) were calculated. The DTI parameters between patients and controls were statistically compared. Correlations of these DTI parameters of each selected structure with age of seizure onset and duration of epilepsy were analysed.Results: In comparison to controls, both patients' seizure ipsilateral and contralateral had significantly lower FA in the AIC; PIC and SCC and higher MD, λ|| and λ⊥ in the EC, AIC, PIC and SCC. The MD, λ|| and λ⊥ were significantly correlated with age of seizure onset in the EC and PIC. λ|| was significantly correlated with the duration of epilepsy in the EC and PIC.Conclusion: The results of the present study indicate that children and adolescents with TLE had significant abnormalities in the white matter in the hemisphere with seizure foci. Furthermore, these abnormalities may extend to the other brain hemisphere. The age of seizure onset and duration of epilepsy may be important factors in determining the extent of influence of children and adolescents TLE on white matter.</description><dc:title>White matter abnormalities in children and adolescents with temporal lobe epilepsy - Corrected Proof</dc:title><dc:creator>Lu Meng, Jing Xiang, Rupesh Kotecha, Douglas Rose, Hong Zhao, Dazhe Zhao, Jinzhu Yang, Ton Degrauw</dc:creator><dc:identifier>10.1016/j.mri.2010.03.046</dc:identifier><dc:source>Magnetic Resonance Imaging (2010)</dc:source><dc:date>2010-07-26</dc:date><prism:publicationName>Magnetic Resonance Imaging</prism:publicationName><prism:publicationDate>2010-07-26</prism:publicationDate></item><item rdf:about="http://www.mrijournal.com/article/PIIS0730725X1000158X/abstract?rss=yes"><title>Retinotopic mapping with spin echo BOLD at 7T - Corrected Proof</title><link>http://www.mrijournal.com/article/PIIS0730725X1000158X/abstract?rss=yes</link><description>Abstract: For blood oxygenation level-dependent (BOLD) functional MRI experiments, contrast-to-noise ratio (CNR) increases with increasing field strength for both gradient echo (GE) and spin echo (SE) BOLD techniques. However, susceptibility artifacts and nonuniform coil sensitivity profiles complicate large field-of-view fMRI experiments (e.g., experiments covering multiple visual areas instead of focusing on a single cortical region). Here, we use SE BOLD to acquire retinotopic mapping data in early visual areas, testing the feasibility of SE BOLD experiments spanning multiple cortical areas at 7T. We also use a recently developed method for normalizing signal intensity in T1-weighted anatomical images to enable automated segmentation of the cortical gray matter for scans acquired at 7T with either surface or volume coils. We find that the CNR of the 7T GE data (average single-voxel, single-scan stimulus coherence: 0.41) is almost twice that of the 3T GE BOLD data (average coherence: 0.25), with the CNR of the SE BOLD data (average coherence: 0.23) comparable to that of the 3T GE data. Repeated measurements in individual subjects find that maps acquired with 1.8-mm resolution at 3T and 7T with GE BOLD and at 7T with SE BOLD show no systematic differences in either the area or the boundary locations for V1, V2 and V3, demonstrating the feasibility of high-resolution SE BOLD experiments with good sensitivity throughout multiple visual areas.</description><dc:title>Retinotopic mapping with spin echo BOLD at 7T - Corrected Proof</dc:title><dc:creator>Cheryl A. Olman, Pierre-Francois Van de Moortele, Jennifer F. Schumacher, Joseph R. Guy, Kâmil Uğurbil, Essa Yacoub</dc:creator><dc:identifier>10.1016/j.mri.2010.06.001</dc:identifier><dc:source>Magnetic Resonance Imaging (2010)</dc:source><dc:date>2010-07-26</dc:date><prism:publicationName>Magnetic Resonance Imaging</prism:publicationName><prism:publicationDate>2010-07-26</prism:publicationDate></item><item rdf:about="http://www.mrijournal.com/article/PIIS0730725X10001554/abstract?rss=yes"><title>A new approach to estimating the signal dimension of concatenated resting-state functional MRI data sets - Corrected Proof</title><link>http://www.mrijournal.com/article/PIIS0730725X10001554/abstract?rss=yes</link><description>Abstract: Estimating the effective signal dimension of resting-state functional MRI (fMRI) data sets (i.e., selecting an appropriate number of signal components) is essential for data-driven analysis. However, current methods are prone to overestimate the dimensions, especially for concatenated group data sets. This work aims to develop improved dimension estimation methods for group fMRI data generated by data reduction and grouping procedure at multiple levels. We proposed a “noise-blurring” approach to suppress intragroup signal variations and to correct spectral alterations caused by the data reduction, which should be responsible for the group dimension overestimation. This technique was evaluated on both simulated group data sets and in vivo resting-state fMRI data sets acquired from 14 normal human subjects during five different scan sessions. Reduction and grouping procedures were repeated at three levels in either “scan–session–subject” or “scan–subject–session” order. Compared with traditional estimation methods, our approach exhibits a stronger immunity against intragroup signal variation, less sensitivity to group size and a better agreement on the dimensions at the third level between the two grouping orders.</description><dc:title>A new approach to estimating the signal dimension of concatenated resting-state functional MRI data sets - Corrected Proof</dc:title><dc:creator>Sharon Chen, Thomas J. Ross, Keh-Shih Chuang, Elliot A. Stein, Yihong Yang, Wang Zhan</dc:creator><dc:identifier>10.1016/j.mri.2010.04.002</dc:identifier><dc:source>Magnetic Resonance Imaging (2010)</dc:source><dc:date>2010-07-23</dc:date><prism:publicationName>Magnetic Resonance Imaging</prism:publicationName><prism:publicationDate>2010-07-23</prism:publicationDate></item><item rdf:about="http://www.mrijournal.com/article/PIIS0730725X10001335/abstract?rss=yes"><title>Integration of EEG source imaging and fMRI during continuous viewing of natural movies - Corrected Proof</title><link>http://www.mrijournal.com/article/PIIS0730725X10001335/abstract?rss=yes</link><description>Abstract: Electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) are noninvasive neuroimaging tools which can be used to measure brain activity with excellent temporal and spatial resolution, respectively. By combining the neural and hemodynamic recordings from these modalities, we can gain better insight into how and where the brain processes complex stimuli, which may be especially useful in patients with different neural diseases. However, due to their vastly different spatial and temporal resolutions, the integration of EEG and fMRI recordings is not always straightforward. One fundamental obstacle has been that paradigms used for EEG experiments usually rely on event-related paradigms, while fMRI is not limited in this regard. Therefore, here we ask whether one can reliably localize stimulus-driven EEG activity using the continuously varying feature intensities occurring in natural movie stimuli presented over relatively long periods of time. Specifically, we asked whether stimulus-driven aspects in the EEG signal would be co-localized with the corresponding stimulus-driven BOLD signal during free viewing of a movie. Secondly, we wanted to integrate the EEG signal directly with the BOLD signal, by estimating the underlying impulse response function (IRF) that relates the BOLD signal to the underlying current density in the primary visual area (V1). We made sequential fMRI and 64-channel EEG recordings in seven subjects who passively watched 2-min-long segments of a James Bond movie. To analyze EEG data in this natural setting, we developed a method based on independent component analysis (ICA) to reject EEG artifacts due to blinks, subject movement, etc., in a way unbiased by human judgment. We then calculated the EEG source strength of this artifact-free data at each time point of the movie within the entire brain volume using low-resolution electromagnetic tomography (LORETA). This provided for every voxel in the brain (i.e., in 3D space) an estimate of the current density at every time point. We then carried out a correlation between the time series of visual contrast changes in the movie with that of EEG voxels. We found the most significant correlations in visual area V1, just as seen in previous fMRI studies (Bartels A, Zeki, S, Logothetis NK. Natural vision reveals regional specialization to local motion and to contrast-invariant, global flow in the human brain. Cereb Cortex 2008;18(3):705–717), but on the time scale of milliseconds rather than of seconds. To obtain an estimate of how the EEG signal relates to the BOLD signal, we calculated the IRF between the BOLD signal and the estimated current density in area V1. We found that this IRF was very similar to that observed using combined intracortical recordings and fMRI experiments in nonhuman primates. Taken together, these findings open a new approach to noninvasive mapping of the brain. It allows, firstly, the localization of feature-selective brain areas during natural viewing conditions with the temporal resolution of EEG. Secondly, it provides a tool to assess EEG/BOLD transfer functions during processing of more natural stimuli. This is especially useful in combined EEG/fMRI experiments, where one can now potentially study neural-hemodynamic relationships across the whole brain volume in a noninvasive manner.</description><dc:title>Integration of EEG source imaging and fMRI during continuous viewing of natural movies - Corrected Proof</dc:title><dc:creator>Kevin Whittingstall, Andreas Bartels, Vanessa Singh, Soyoung Kwon, Nikos K. Logothetis</dc:creator><dc:identifier>10.1016/j.mri.2010.03.042</dc:identifier><dc:source>Magnetic Resonance Imaging (2010)</dc:source><dc:date>2010-06-25</dc:date><prism:publicationName>Magnetic Resonance Imaging</prism:publicationName><prism:publicationDate>2010-06-25</prism:publicationDate></item><item rdf:about="http://www.mrijournal.com/article/PIIS0730725X10001311/abstract?rss=yes"><title>Functional exploration of the human spinal cord during voluntary movement and somatosensory stimulation - Corrected Proof</title><link>http://www.mrijournal.com/article/PIIS0730725X10001311/abstract?rss=yes</link><description>Abstract: Demonstrations of the possibility of obtaining functional information from the spinal cord in humans using functional magnetic resonance imaging (fMRI) have been growing in number and sophistication, but the technique and the results that it provides are still perceived by the scientific community with a greater degree of scepticism than fMRI investigations of brain function. Here we review the literature on spinal fMRI in humans during voluntary movements and somatosensory stimulation. Particular attention is given to study design, acquisition and statistical analysis of the images, and to the agreement between the obtained results and existing knowledge regarding spinal cord anatomy and physiology.A striking weakness of many spinal fMRI studies is the use of small numbers of subjects and of time-points in the acquired functional image series. In addition, spinal fMRI is characterised by large physiological noise, while the recorded functional responses are poorly characterised. For all these reasons, spinal fMRI experiments risk having low statistical power, and few spinal fMRI studies have yielded physiologically relevant information.Thus, while available evidence indicates that spinal fMRI is feasible, we are only approaching the stage at which the technique can be considered to have been rigorously established as a viable means of noninvasively investigating spinal cord functioning in humans.</description><dc:title>Functional exploration of the human spinal cord during voluntary movement and somatosensory stimulation - Corrected Proof</dc:title><dc:creator>Paul E. Summers, Gian Domenico Iannetti, Carlo A. Porro</dc:creator><dc:identifier>10.1016/j.mri.2010.05.001</dc:identifier><dc:source>Magnetic Resonance Imaging (2010)</dc:source><dc:date>2010-06-23</dc:date><prism:publicationName>Magnetic Resonance Imaging</prism:publicationName><prism:publicationDate>2010-06-23</prism:publicationDate></item><item rdf:about="http://www.mrijournal.com/article/PIIS0730725X10001323/abstract?rss=yes"><title>Reliability and reproducibility of perfusion MRI in cognitively normal subjects - Corrected Proof</title><link>http://www.mrijournal.com/article/PIIS0730725X10001323/abstract?rss=yes</link><description>Abstract: Arterial spin labeling (ASL) magnetic resonance imaging (MRI) is becoming a popular method for measuring perfusion due to its ability of generating perfusion maps noninvasively. This allows for frequent repeat scanning, which is especially useful for follow-up studies. However, limited information is available regarding the reliability and reproducibility of ASL perfusion measurements. Here, the reliability and reproducibility of pulsed ASL was investigated in an elderly population to determine the variation in perfusion among cognitively normal individuals in different brain structures. Intraclass correlation coefficients (ICC) and within-subject variation coefficients (wsCV) were used to estimate reliability and reproducibility over a period of 1 year. Twelve cognitively normal subjects (75.5±5.3 years old, six male and six female) were scanned four times (at 0, 3, 6 and 12 months). No significant difference in cerebral blood flow (CBF) was found over this period. CBF values ranged from 46 to 53 ml/100 g per minute in the medial frontal gyrus (MFG) and from 40 to 44 ml/100 g per minute over all gray matter regions in the superior part of the brain. Data obtained from the first two scans were processed by two readers and showed high reliability (ICC &gt;0.97) and reproducibility (wsCV &lt;6%). However, over the total period of 1 year, reliability reduced to a moderate level (ICC=0.63–0.74) with wsCVs of gray matter, left MFG, right MFG of 13.5%, 12.3%, and 15.4%, respectively. In conclusion, measurement of CBF with pulsed ASL provided good agreement between inter-raters. A moderate level of reliability was obtained over a 1-year period, which was attributed to variance in slice positioning and coregistration. As such pulsed ASL has the potential to be used for CBF comparison in longitudinal studies.</description><dc:title>Reliability and reproducibility of perfusion MRI in cognitively normal subjects - Corrected Proof</dc:title><dc:creator>Li Jiang, Mina Kim, BettyAnn Chodkowski, Manus J. Donahue, James J. Pekar, Peter C.M. Van Zijl, Marilyn Albert</dc:creator><dc:identifier>10.1016/j.mri.2010.05.002</dc:identifier><dc:source>Magnetic Resonance Imaging (2010)</dc:source><dc:date>2010-06-23</dc:date><prism:publicationName>Magnetic Resonance Imaging</prism:publicationName><prism:publicationDate>2010-06-23</prism:publicationDate></item><item rdf:about="http://www.mrijournal.com/article/PIIS0730725X10000858/abstract?rss=yes"><title>Comparison of analytical strategies for EEG-correlated fMRI data in patients with epilepsy - Corrected Proof</title><link>http://www.mrijournal.com/article/PIIS0730725X10000858/abstract?rss=yes</link><description>Abstract: The simultaneous recording of electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) can be used to localize interictal epileptiform discharges (IEDs). Previous studies have reported varying degrees of concordance of EEG-fMRI with electroclinical findings. The aim of the present study is to evaluate to what extent this variability is determined by the analytical strategy or by the properties of the EEG data. For that purpose, 42 IED sets obtained in 29 patients with epilepsy were reanalyzed using a finite impulse response approach, which estimates the hemodynamic response function (HRF) from the data and allows non-causal effects. Cardiac effects were treated as additional confounders in the model. This approach was compared to the classical approach assuming a fixed HRF for each voxel in the brain. The performance of each method was assessed by comparing the fMRI results to the EEG focus. The flexible model revealed more significantly activated voxels, which resulted in more activated brain regions concordant with the EEG focus (26 vs. 16). Correction for cardiac effects improved the results in 7 out of the 42 data sets. Furthermore, design theory for event-related experiments was applied in order to determine the influence of the number of IEDs and their temporal distribution on the success of an experiment. It appeared that this success is highly dependent upon the number of IEDs present during the recording and less on their temporal spacing. We conclude that the outcome of EEG-fMRI can be improved by using an optimized analytical strategy, but also depends on the number of IEDs occurring during the recording.</description><dc:title>Comparison of analytical strategies for EEG-correlated fMRI data in patients with epilepsy - Corrected Proof</dc:title><dc:creator>Petra J. van Houdt, Jan C. de Munck, Maeike Zijlmans, Geertjan Huiskamp, Frans S.S. Leijten, Paul A.J.M. Boon, Pauly P.W. Ossenblok</dc:creator><dc:identifier>10.1016/j.mri.2010.03.022</dc:identifier><dc:source>Magnetic Resonance Imaging (2010)</dc:source><dc:date>2010-05-14</dc:date><prism:publicationName>Magnetic Resonance Imaging</prism:publicationName><prism:publicationDate>2010-05-14</prism:publicationDate></item><item rdf:about="http://www.mrijournal.com/article/PIIS0730725X1000086X/abstract?rss=yes"><title>Flat map areal topography in Macaca mulatta based on combined MRI and histology - Corrected Proof</title><link>http://www.mrijournal.com/article/PIIS0730725X1000086X/abstract?rss=yes</link><description>Abstract: Flattened representations are a useful approach to represent the convoluted complex surface of the neocortex of primates and other large-brained mammals. In this study, we compared the flattened representation of neocortical areas obtained from the recently published MRI and histology atlas of the rhesus monkey brain (Saleem KS, Logothetis NK. A combined MRI and histology atlas of the rhesus monkey brain in stereotaxic coordinates. London: Academic; 2007) with other previously published maps. Our results confirm that flat map representations are advantageous due to their ease of use and that current flat maps are well comparable to each other. Some differences arise due to different distinguishing criteria and here too flat maps can help to reveal them.</description><dc:title>Flat map areal topography in Macaca mulatta based on combined MRI and histology - Corrected Proof</dc:title><dc:creator>Fahad Sultan, Salah Hamodeh, Yusuke Murayama, Kadharbatcha S. Saleem, Nikos Logothetis</dc:creator><dc:identifier>10.1016/j.mri.2010.03.023</dc:identifier><dc:source>Magnetic Resonance Imaging (2010)</dc:source><dc:date>2010-05-14</dc:date><prism:publicationName>Magnetic Resonance Imaging</prism:publicationName><prism:publicationDate>2010-05-14</prism:publicationDate></item><item rdf:about="http://www.mrijournal.com/article/PIIS0730725X10000834/abstract?rss=yes"><title>Quantitative mapping of diffusion characteristics under the cortical surface - Corrected Proof</title><link>http://www.mrijournal.com/article/PIIS0730725X10000834/abstract?rss=yes</link><description>Abstract: Recent studies have demonstrated regional segregations on several peripheral white matter (WM) regions, which may imply different anatomical or functional characteristics [Cereb Cortex 17(4) 2007 816–25; Neuroimage 37(2) 2007 599–610; J Cogn Neurosci 16(7) 2004 1227–33]. Nonetheless, little is known about overall patterns of peripheral WM across the regions. In this study, diffusion tensor imaging with 2-mm isovoxel resolution and cortical surface mapping were combined to determine peripheral WM structure. Fractional anisotropy (FA) mapping showed consistent regional patterns across the young normal subjects while significant high or low FA values were shown in the motor-somatosensory cortex, prefrontal cortex, temporal, and medial occipital cortex. By adopting both region of interest and connectivity analysis, results were then discussed with structural network properties as well as WM maturation process.</description><dc:title>Quantitative mapping of diffusion characteristics under the cortical surface - Corrected Proof</dc:title><dc:creator>Bang-Bon Koo, Kiri Choi, Itamar Ronen, Jong-Min Lee, Dae-Shik Kim</dc:creator><dc:identifier>10.1016/j.mri.2010.03.020</dc:identifier><dc:source>Magnetic Resonance Imaging (2010)</dc:source><dc:date>2010-05-06</dc:date><prism:publicationName>Magnetic Resonance Imaging</prism:publicationName><prism:publicationDate>2010-05-06</prism:publicationDate></item><item rdf:about="http://www.mrijournal.com/article/PIIS0730725X10000652/abstract?rss=yes"><title>Functional MRI and multivariate autoregressive models - Corrected Proof</title><link>http://www.mrijournal.com/article/PIIS0730725X10000652/abstract?rss=yes</link><description>Abstract: Connectivity refers to the relationships that exist between different regions of the brain. In the context of functional magnetic resonance imaging (fMRI), it implies a quantifiable relationship between hemodynamic signals from different regions. One aspect of this relationship is the existence of small timing differences in the signals in different regions. Delays of 100 ms or less may be measured with fMRI, and these may reflect important aspects of the manner in which brain circuits respond as well as the overall functional organization of the brain. The multivariate autoregressive time series model has features to recommend it for measuring these delays and is straightforward to apply to hemodynamic data. In this review, we describe the current usage of the multivariate autoregressive model for fMRI, discuss the issues that arise when it is applied to hemodynamic time series and consider several extensions. Connectivity measures like Granger causality that are based on the autoregressive model do not always reflect true neuronal connectivity; however, we conclude that careful experimental design could make this methodology quite useful in extending the information obtainable using fMRI.</description><dc:title>Functional MRI and multivariate autoregressive models - Corrected Proof</dc:title><dc:creator>Baxter P. Rogers, Santosh B. Katwal, Victoria L. Morgan, Christopher L. Asplund, John C. Gore</dc:creator><dc:identifier>10.1016/j.mri.2010.03.002</dc:identifier><dc:source>Magnetic Resonance Imaging (2010)</dc:source><dc:date>2010-05-05</dc:date><prism:publicationName>Magnetic Resonance Imaging</prism:publicationName><prism:publicationDate>2010-05-05</prism:publicationDate></item><item rdf:about="http://www.mrijournal.com/article/PIIS0730725X10000883/abstract?rss=yes"><title>fMRI study of motor cortex activity modulation in early Parkinson's disease - Corrected Proof</title><link>http://www.mrijournal.com/article/PIIS0730725X10000883/abstract?rss=yes</link><description>Abstract: Parkinson's disease is a neurological disorder associated with the disfunction of dopaminergic pathways of the basal ganglia, mainly resulting in a progressive alteration in the execution of voluntary movements. We present a functional magnetic resonance imaging (fMRI) study on cortical activations during simple motor task performance, in six early–stage hemiparkinsonian patients and seven healthy volunteers. We acquired data in three sessions, during which subjects performed the task with right or left hand, or bimanually. We observed consistent bilateral activations in cingulate cortex and dorsolateral prefrontal cortex of Parkinsonian subjects during the execution of the task with the affected hand. In addition, patients showed both larger and stronger activations in motor cortex of the affected hemisphere with respect to the healthy hemisphere. Compared with the control group, patients showed a hyperactivation of the dorsolateral prefrontal cortex of the affected hemisphere. We concluded that a presymptomatic reorganization of the motor system is likely to occur in Parkinson's disease at earlier stages than previously hypothesized. Moreover, our results support fMRI as a sensitive technique for revealing the initial involvement of motor cortex areas at the debut of this degenerative disorder.</description><dc:title>fMRI study of motor cortex activity modulation in early Parkinson's disease - Corrected Proof</dc:title><dc:creator>Marta Moraschi, Giovanni Giulietti, Federico Giove, Manuela Guardati, Girolamo Garreffa, Nicola Modugno, Claudio Colonnese, Bruno Maraviglia</dc:creator><dc:identifier>10.1016/j.mri.2010.03.025</dc:identifier><dc:source>Magnetic Resonance Imaging (2010)</dc:source><dc:date>2010-04-28</dc:date><prism:publicationName>Magnetic Resonance Imaging</prism:publicationName><prism:publicationDate>2010-04-28</prism:publicationDate></item><item rdf:about="http://www.mrijournal.com/article/PIIS0730725X10000895/abstract?rss=yes"><title>Flexible, phase-matched, linear receive arrays for high-field MRI in monkeys - Corrected Proof</title><link>http://www.mrijournal.com/article/PIIS0730725X10000895/abstract?rss=yes</link><description>Abstract: High signal-to-noise ratios (SNR) are essential for high-resolution anatomical and functional MRI. Phased arrays are advantageous for this but have the drawback that they often have inflexible and bulky configurations. Particularly in experiments where functional MRI is combined with simultaneous electrophysiology, space constraints can be prohibitive. To this end we developed a highly flexible multiple receive element phased array for use on anesthetized monkeys. The elements are interchangeable and different sizes and combinations of coil elements can be used, for instance, combinations of single and overlapped elements. The preamplifiers including control electronics are detachable and can serve a variety of prefabricated and phase matched arrays of different configurations, allowing the elements to always be placed in close proximity to the area of interest. Optimizing performance of the individual elements ensured high SNR at the cortical surface as well as in deeper laying structures. Performance of a variety of arrangements of gapped linear arrays was evaluated at 4.7 and 7T in high-resolution anatomical and functional MRI.</description><dc:title>Flexible, phase-matched, linear receive arrays for high-field MRI in monkeys - Corrected Proof</dc:title><dc:creator>Jozien Goense, Nikos K. Logothetis, Hellmut Merkle</dc:creator><dc:identifier>10.1016/j.mri.2010.03.026</dc:identifier><dc:source>Magnetic Resonance Imaging (2010)</dc:source><dc:date>2010-04-26</dc:date><prism:publicationName>Magnetic Resonance Imaging</prism:publicationName><prism:publicationDate>2010-04-26</prism:publicationDate></item><item rdf:about="http://www.mrijournal.com/article/PIIS0730725X10000561/abstract?rss=yes"><title>NMR at very low fields - Corrected Proof</title><link>http://www.mrijournal.com/article/PIIS0730725X10000561/abstract?rss=yes</link><description>Abstract: Although nuclear magnetic resonance in low fields around or below the Earth's magnetic field is almost as old as nuclear magnetic resonance itself, the recent years have experienced a revival of this technique that is opposed to the common trend towards higher and higher fields. The background of this development is the expectation that the low-field domain may open a new window for the study of molecular structure and dynamics. Here, we will give an overview on the specific features in the low-field domain, both from the technical and from the physical point of view. In addition, we present a short passage on the option of magnetic resonance imaging in fields of the micro-Tesla range.</description><dc:title>NMR at very low fields - Corrected Proof</dc:title><dc:creator>Lutz Trahms, Martin Burghoff</dc:creator><dc:identifier>10.1016/j.mri.2010.02.004</dc:identifier><dc:source>Magnetic Resonance Imaging (2010)</dc:source><dc:date>2010-04-22</dc:date><prism:publicationName>Magnetic Resonance Imaging</prism:publicationName><prism:publicationDate>2010-04-22</prism:publicationDate></item><item rdf:about="http://www.mrijournal.com/article/PIIS0730725X10000846/abstract?rss=yes"><title>Functional connectivity between task-positive and task-negative brain areas and its relation to working memory performance - Corrected Proof</title><link>http://www.mrijournal.com/article/PIIS0730725X10000846/abstract?rss=yes</link><description>Abstract: Functional brain imaging studies have identified a set of brain areas typically activated during cognitive tasks (task-positive brain areas) and another set of brain areas typically deactivated during cognitive tasks (task-negative brain areas). Negative correlations, or anticorrelations, between task-positive and task-negative brain areas have been reported at rest. Furthermore, the strength of these anticorrelations appears to be related to cognitive function. However, studies examining anticorrelations have typically employed global regression or similar analysis steps that force anticorrelated relationships to exist between brain areas. Therefore the validity of these findings has been questioned. Here we examine anticorrelations between a task-negative region in the medial frontal gyrus/anterior cingulate cortex and dorsolateral prefrontal cortex, a classic task-positive area, using an analysis that does not include global regression. Instead, we control for whole-brain correlations in the group-level analysis. Using this approach, we demonstrate that the strength of the functional connection between the medial frontal cortex and the dorsolateral prefrontal cortex is related to cognitive function and that this relationship is not an artifact of global regression.</description><dc:title>Functional connectivity between task-positive and task-negative brain areas and its relation to working memory performance - Corrected Proof</dc:title><dc:creator>Michelle Hampson, Naomi Driesen, Jennifer K. Roth, John C. Gore, R. Todd Constable</dc:creator><dc:identifier>10.1016/j.mri.2010.03.021</dc:identifier><dc:source>Magnetic Resonance Imaging (2010)</dc:source><dc:date>2010-04-22</dc:date><prism:publicationName>Magnetic Resonance Imaging</prism:publicationName><prism:publicationDate>2010-04-22</prism:publicationDate></item><item rdf:about="http://www.mrijournal.com/article/PIIS0730725X10000913/abstract?rss=yes"><title>Testing methodologies for the nonlinear analysis of causal relationships in neurovascular coupling - Corrected Proof</title><link>http://www.mrijournal.com/article/PIIS0730725X10000913/abstract?rss=yes</link><description>Abstract: We investigated the use and implementation of a nonlinear methodology for establishing which changes in neurophysiological signals cause changes in the blood oxygenation level-dependent (BOLD) contrast measured in functional magnetic resonance imaging. Unlike previous analytical approaches, which used linear correlation to establish covariations between neural activity and BOLD, we propose a directed information-theoretic measure, the transfer entropy, which can elucidate even highly nonlinear causal relationships between neural activity and BOLD signal. In this study we investigated the practicality of such an analysis given the limited data samples that can be collected experimentally due to the low temporal resolution of BOLD signals. We implemented several algorithms for the estimation of transfer entropy and we tested their effectiveness using simulated local field potentials (LFPs) and BOLD data constructed to match the main statistical properties of real LFP and BOLD signals measured simultaneously in monkey primary visual cortex. We found that using the advanced methods of entropy estimation implemented and described here, a transfer entropy analysis of neurovascular coupling based on experimentally attainable data sets is feasible.</description><dc:title>Testing methodologies for the nonlinear analysis of causal relationships in neurovascular coupling - Corrected Proof</dc:title><dc:creator>Niklas Lüdtke, Nikos K. Logothetis, Stefano Panzeri</dc:creator><dc:identifier>10.1016/j.mri.2010.03.028</dc:identifier><dc:source>Magnetic Resonance Imaging (2010)</dc:source><dc:date>2010-04-22</dc:date><prism:publicationName>Magnetic Resonance Imaging</prism:publicationName><prism:publicationDate>2010-04-22</prism:publicationDate></item><item rdf:about="http://www.mrijournal.com/article/PIIS0730725X10000950/abstract?rss=yes"><title>Applying functional MRI to the spinal cord and brainstem - Corrected Proof</title><link>http://www.mrijournal.com/article/PIIS0730725X10000950/abstract?rss=yes</link><description>Abstract: Functional magnetic resonance imaging of the spinal cord (spinal fMRI) has facilitated the noninvasive visualization of neural activity in the spinal cord (SC) and brainstem of both animals and humans. This technique has yet to gain the widespread usage of brain fMRI, due in part to the intrinsic technical challenges spinal fMRI presents and to the narrower scope of applications it fulfills. Nonetheless, methodological progress has been considerable and rapid. To date, spinal fMRI studies have investigated SC function during sensory or motor task paradigms in spinal cord injury (SCI), multiple sclerosis (MS) and neuropathic pain (NP) patient populations, all of which have yielded consistent and sensitive results. The most recent study in our laboratory has successfully used spinal fMRI to examine cervical SC activity in a SCI patient with a metallic fixation device spanning the C4 to C6 vertebrae, a critical step in realizing the clinical utility of the technique. The literature reviewed in this article suggests that spinal fMRI is poised for usage in a wide range of patient populations, as multiple groups have observed intriguing, yet consistent, results using standard, readily available MR systems and hardware. The next step is the implementation of this technique in the clinic to supplement standard qualitative behavioral assessments of SCI. Spinal fMRI may offer insight into the subtleties of function in the injured and diseased SC, and support the development of new methods for treatment and monitoring.</description><dc:title>Applying functional MRI to the spinal cord and brainstem - Corrected Proof</dc:title><dc:creator>Jordan K. Leitch, Chase R. Figley, Patrick W. Stroman</dc:creator><dc:identifier>10.1016/j.mri.2010.03.032</dc:identifier><dc:source>Magnetic Resonance Imaging (2010)</dc:source><dc:date>2010-04-22</dc:date><prism:publicationName>Magnetic Resonance Imaging</prism:publicationName><prism:publicationDate>2010-04-22</prism:publicationDate></item><item rdf:about="http://www.mrijournal.com/article/PIIS0730725X10000548/abstract?rss=yes"><title>BOLD responses to trigeminal nerve stimulation - Corrected Proof</title><link>http://www.mrijournal.com/article/PIIS0730725X10000548/abstract?rss=yes</link><description>Abstract: The current study investigates a new model of barrel cortex activation using stimulation of the infraorbital branch of the trigeminal nerve. A robust and reproducible activation of the rat barrel cortex was obtained following trigeminal nerve stimulation. Blood oxygen level-dependent (BOLD) effects were obtained in the primary somatosensory barrel cortex (S1BF), the secondary somatosensory cortex (S2) and the motor cortex. These cortical areas were reached from afferent pathways from the trigeminal ganglion, the trigeminal nuclei and thalamic nuclei from which neurons project their axons upon whisker stimulation. The maximum BOLD responses were obtained for a stimulus frequency of 1 Hz, a stimulus pulse width of 100 μs and for current intensities between 1.5 and 3 mA. The BOLD response was nonlinear as a function of frequency and current intensity. Additionally, modeling BOLD responses in the rat barrel cortex from separate cerebral blood flow (CBF) and cerebral metabolic rate of oxygen (CMRO2) measurements showed good agreement with the shape and amplitude of measured BOLD responses as a function of stimulus frequency and will potentially allow to identify the sources of BOLD nonlinearities. Activation of the rat barrel cortex using trigeminal nerve stimulation will contribute to the interpretation of the BOLD signals from functional magnetic resonance imaging studies.</description><dc:title>BOLD responses to trigeminal nerve stimulation - Corrected Proof</dc:title><dc:creator>Nathalie Just, Carl Petersen, Rolf Gruetter</dc:creator><dc:identifier>10.1016/j.mri.2010.02.002</dc:identifier><dc:source>Magnetic Resonance Imaging (2010)</dc:source><dc:date>2010-04-20</dc:date><prism:publicationName>Magnetic Resonance Imaging</prism:publicationName><prism:publicationDate>2010-04-20</prism:publicationDate></item><item rdf:about="http://www.mrijournal.com/article/PIIS0730725X10000901/abstract?rss=yes"><title>Coupling of simultaneously acquired electrophysiological and haemodynamic responses during visual stimulation - Corrected Proof</title><link>http://www.mrijournal.com/article/PIIS0730725X10000901/abstract?rss=yes</link><description>Abstract: We investigate the relationship between the temporal variation in the magnitude of occipital visual evoked potentials (VEPs) and of haemodynamic measures of brain activity obtained using both blood oxygenation level dependent (BOLD) and perfusion sensitive (ASL) functional magnetic resonance imaging (fMRI). Volunteers underwent a continuous BOLD fMRI scan and/or a continuous perfusion-sensitive (gradient and spin echo readout) ASL scan, during which 30 second blocks of contrast reversing visual stimuli (at 4 Hz) were interleaved with 30 second blocks of rest (visual fixation). Electroencephalography (EEG) and fMRI were simultaneously recorded and following EEG artefact cleaning, VEPs were averaged across the whole stimulation block (120 reversals, VEP120) and at a finer timescale (15 reversals, VEP15). Both BOLD and ASL time-series were linearly modelled to establish: (1) the mean response to visual stimulation, (2) transient responses at the start and end of each stimulation block, (3) the linear decrease between blocks, (4) the nonlinear between-block variation (covariation with VEP120), (5) the linear decrease within block and (6) the nonlinear variation within block (covariation with VEP15).VEPs demonstrated a significant linear time-dependent reduction in amplitude, both within and between blocks of stimulation. Consistent with the VEPs finding, both BOLD and perfusion measures showed significant linear time-dependent reductions in response amplitude between blocks. In addition, there were significant linear time-dependent within-block reductions in BOLD response as well as between-block variations positively correlating with VEP120 (medial occipital and frontal) and within-block variations positively correlating with VEP15 (occipital and thalamus).Both electrophysiological and haemodynamic (BOLD and ASL) measures of visual activity showed steady habituation through the experiment. Beyond this, the VEP measures were predictive of shorter timescale (3-30 second) localised variations in BOLD response engaging both occipital cortex and other regions such as anterior cingulate and parietal regions, implicating attentional processes in the modulation of the VEP signal.</description><dc:title>Coupling of simultaneously acquired electrophysiological and haemodynamic responses during visual stimulation - Corrected Proof</dc:title><dc:creator>Stephen D. Mayhew, Bradley J. Macintosh, Sharon G. Dirckx, Gian Domenico Iannetti, Richard G. Wise</dc:creator><dc:identifier>10.1016/j.mri.2010.03.027</dc:identifier><dc:source>Magnetic Resonance Imaging (2010)</dc:source><dc:date>2010-04-20</dc:date><prism:publicationName>Magnetic Resonance Imaging</prism:publicationName><prism:publicationDate>2010-04-20</prism:publicationDate></item><item rdf:about="http://www.mrijournal.com/article/PIIS0730725X10000597/abstract?rss=yes"><title>Study of brain anatomy with high-field MRI: recent progress - Corrected Proof</title><link>http://www.mrijournal.com/article/PIIS0730725X10000597/abstract?rss=yes</link><description>Abstract: Recent developments in high-field magnetic resonance imaging technology have led to improved contrast and resolution and are opening up new possibilities for the study of human brain anatomy. In particular, techniques sensitized to magnetic susceptibility contrast provide particular advantages at high field that have allowed visualization of brain structures that have been difficult to detect with conventional technology. In this review, some of these developments and techniques will be discussed, and an attempt will be made to interpret magnetic susceptibility contrast based on recent studies.</description><dc:title>Study of brain anatomy with high-field MRI: recent progress - Corrected Proof</dc:title><dc:creator>Jozef H. Duyn</dc:creator><dc:identifier>10.1016/j.mri.2010.02.007</dc:identifier><dc:source>Magnetic Resonance Imaging (2010)</dc:source><dc:date>2010-04-14</dc:date><prism:publicationName>Magnetic Resonance Imaging</prism:publicationName><prism:publicationDate>2010-04-14</prism:publicationDate></item><item rdf:about="http://www.mrijournal.com/article/PIIS0730725X10000299/abstract?rss=yes"><title>In contrast to BOLD: signal enhancement by extravascular water protons as an alternative mechanism of endogenous fMRI signal change - Corrected Proof</title><link>http://www.mrijournal.com/article/PIIS0730725X10000299/abstract?rss=yes</link><description>Abstract: Despite the popularity and widespread application of functional magnetic resonance imaging (fMRI) in recent years, the physiological bases of signal change are not yet fully understood. Blood oxygen level-dependant (BOLD) contrast — attributed to local changes in blood flow and oxygenation, and therefore magnetic susceptibility — has become the most prevalent means of functional neuroimaging. However, at short echo times, spin-echo sequences show considerable deviations from the BOLD model, implying a second, non-BOLD component of signal change. This has been dubbed “signal enhancement by extravascular water protons” (SEEP) and is proposed to result from proton-density changes associated with cellular swelling. Given that such changes are independent of magnetic susceptibility, SEEP may offer new and improved opportunities for carrying out fMRI in regions with close proximity to air–tissue and/or bone–tissue interfaces (e.g., the prefrontal cortex and spinal cord), as well as regions close to large blood vessels, which may not be ideally suited for BOLD imaging. However, because of the interdisciplinary nature of the literature, there has yet to be a thorough synthesis, tying together the various and sometimes disparate aspects of SEEP theory. As such, we aim to provide a concise yet comprehensive overview of SEEP, including recent and compelling evidence for its validity, its current applications and its future relevance to the rapidly expanding field of functional neuroimaging. Before presenting the evidence for a non-BOLD component of endogenous functional contrast, and to enable a more critical review for the nonexpert reader, we begin by reviewing the fundamental principles underlying BOLD theory.</description><dc:title>In contrast to BOLD: signal enhancement by extravascular water protons as an alternative mechanism of endogenous fMRI signal change - Corrected Proof</dc:title><dc:creator>Chase R. Figley, Jordan K. Leitch, Patrick W. Stroman</dc:creator><dc:identifier>10.1016/j.mri.2010.01.005</dc:identifier><dc:source>Magnetic Resonance Imaging (2010)</dc:source><dc:date>2010-03-19</dc:date><prism:publicationName>Magnetic Resonance Imaging</prism:publicationName><prism:publicationDate>2010-03-19</prism:publicationDate></item><item rdf:about="http://www.mrijournal.com/article/PIIS0730725X10000251/abstract?rss=yes"><title>Implementation and evaluation of simultaneous video-electroencephalography and functional magnetic resonance imaging - Corrected Proof</title><link>http://www.mrijournal.com/article/PIIS0730725X10000251/abstract?rss=yes</link><description>Abstract: The objective of this study was to demonstrate that the addition of simultaneous and synchronised video to electroencephalography (EEG)-correlated functional magnetic resonance imaging (fMRI) could increase recorded information without data quality reduction. We investigated the effect of placing EEG, video equipment and their required power supplies inside the scanner room, on EEG, video and MRI data quality, and evaluated video-EEG-fMRI by modelling a hand motor task. Gradient-echo, echo-planner images (EPI) were acquired on a 3-T MRI scanner at variable camera positions in a test object [with and without radiofrequency (RF) excitation], and human subjects. EEG was recorded using a commercial MR-compatible 64-channel cap and amplifiers. Video recording was performed using a two-camera custom-made system with EEG synchronization. An in-house script was used to calculate signal to fluctuation noise ratio (SFNR) from EPI in test object with variable camera positions and in human subjects with and without concurrent video recording. Five subjects were investigated with video-EEG-fMRI while performing hand motor task. The fMRI time series data was analysed using statistical parametric mapping, by building block design general linear models which were paradigm prescribed and video based. Introduction of the cameras did not alter the SFNR significantly, nor did it show any signs of spike noise during RF off conditions. Video and EEG quality also did not show any significant artefact. The Statistical Parametric Mapping{T} maps from video based design revealed additional blood oxygen level-dependent responses in the expected locations for non-compliant subjects compared to the paradigm prescribed design. We conclude that video-EEG-fMRI set up can be implemented without affecting the data quality significantly and may provide valuable information on behaviour to enhance the analysis of fMRI data.</description><dc:title>Implementation and evaluation of simultaneous video-electroencephalography and functional magnetic resonance imaging - Corrected Proof</dc:title><dc:creator>Umair J. Chaudhary, Vasileios Kokkinos, David W. Carmichael, Roman Rodionov, David Gasston, John S. Duncan, Louis Lemieux</dc:creator><dc:identifier>10.1016/j.mri.2010.01.001</dc:identifier><dc:source>Magnetic Resonance Imaging (2010)</dc:source><dc:date>2010-03-17</dc:date><prism:publicationName>Magnetic Resonance Imaging</prism:publicationName><prism:publicationDate>2010-03-17</prism:publicationDate></item><item rdf:about="http://www.mrijournal.com/article/PIIS0730725X09003208/abstract?rss=yes"><title>Coupling of neural activity and fMRI-BOLD in the motion area MT - Corrected Proof</title><link>http://www.mrijournal.com/article/PIIS0730725X09003208/abstract?rss=yes</link><description>Abstract: The fMRI-BOLD contrast is widely used to study the neural basis of sensory perception and cognition. This signal, however, reflects neural activity only indirectly, and the detailed mechanisms of neurovascular coupling and the neurophysiological correlates of the BOLD signal remain debated. Here we investigate the coupling of BOLD and electrophysiological signals in the motion area MT of the macaque monkey by simultaneously recording both signals. Our results demonstrate that a prominent neuronal response property of area MT, so-called motion opponency, can be used to induce dissociations of BOLD and neuronal firing. During the presentation of a stimulus optimally driving the local neurons, both field potentials [local field potentials (LFPs)] and spiking activity [multi-unit activity (MUA)] correlated with the BOLD signal. When introducing the motion opponency stimulus, however, correlations of MUA with BOLD were much reduced, and LFPs were a much better predictor of the BOLD signal than MUA. In addition, for a subset of recording sites we found positive BOLD and LFP responses in the presence of decreases in MUA, regardless of the stimulus used. Together, these results demonstrate that correlations between BOLD and MUA are dependent on the particular site and stimulus paradigm, and foster the notion that the fMRI-BOLD signal reflects local dendrosomatic processing and synaptic activity rather than principal neuron spiking responses.</description><dc:title>Coupling of neural activity and fMRI-BOLD in the motion area MT - Corrected Proof</dc:title><dc:creator>Michael T. Lippert, Thomas Steudel, Frank Ohl, Nikos K. Logothetis, Christoph Kayser</dc:creator><dc:identifier>10.1016/j.mri.2009.12.028</dc:identifier><dc:source>Magnetic Resonance Imaging (2010)</dc:source><dc:date>2010-02-22</dc:date><prism:publicationName>Magnetic Resonance Imaging</prism:publicationName><prism:publicationDate>2010-02-22</prism:publicationDate></item><item rdf:about="http://www.mrijournal.com/article/PIIS0730725X09003166/abstract?rss=yes"><title>Frontoparietal activity with minimal decision and control in the awake macaque at 7 T - Corrected Proof</title><link>http://www.mrijournal.com/article/PIIS0730725X09003166/abstract?rss=yes</link><description>Abstract: Previous imaging work has identified a frontoparietal network in the human brain involved in many different cognitive functions, as well as in simple updates of attended information. To determine whether a similar network is present in the monkey brain and direct future electrophysiological recordings, we examined the activation of frontoparietal areas during visual stimulation in the awake, fixating monkey. We measured activity with BOLD fMRI in three animals and analyzed the data individually for each animal and at group level. We found reliable activations in lateral prefrontal and parietal areas, even though task-related decision making was minimal, as a response to simple update of visual information. These activations were significant for each individual animal, as well as at group level. Similar to human imaging results the update of visual input was enough to activate an extensive network of frontoparietal cortex in the macaque brain, a network which is normally associated with complex cognitive control processes.</description><dc:title>Frontoparietal activity with minimal decision and control in the awake macaque at 7 T - Corrected Proof</dc:title><dc:creator>Steffen Stoewer, Shih-Pi Ku, Jozien Goense, Thomas Steudel, Nikos K. Logothetis, John Duncan, Natasha Sigala</dc:creator><dc:identifier>10.1016/j.mri.2009.12.024</dc:identifier><dc:source>Magnetic Resonance Imaging (2010)</dc:source><dc:date>2010-02-01</dc:date><prism:publicationName>Magnetic Resonance Imaging</prism:publicationName><prism:publicationDate>2010-02-01</prism:publicationDate></item><item rdf:about="http://www.mrijournal.com/article/PIIS0730725X0900318X/abstract?rss=yes"><title>Multimodal imaging: an evaluation of univariate and multivariate methods for simultaneous EEG/fMRI - Corrected Proof</title><link>http://www.mrijournal.com/article/PIIS0730725X0900318X/abstract?rss=yes</link><description>Abstract: The combination of electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) has been proposed as a tool to study brain dynamics with both high temporal and high spatial resolution. Multimodal imaging techniques rely on the assumption of a common neuronal source for the different recorded signals. In order to maximally exploit the combination of these techniques, one needs to understand the coupling (i.e., the relation) between electroencephalographic (EEG) and fMRI blood oxygen level-dependent (BOLD) signals.Recently, simultaneous EEG-fMRI measurements have been used to investigate the relation between the two signals. Previous attempts at the analysis of simultaneous EEG-fMRI data reported significant correlations between regional BOLD activations and modulation of both event-related potential (ERP) and oscillatory EEG power, mostly in the alpha but also in other frequency bands.Beyond the correlation of the two measured brain signals, the relevant issue we address here is the ability of predicting the signal in one modality using information from the other modality. Using multivariate machine learning-based regression, we show how it is possible to predict EEG power oscillations from simultaneously acquired fMRI data during an eyes-open/eyes-closed task using either the original channels or the underlying cortically distributed sources as the relevant EEG signal for the analysis of multimodal data.</description><dc:title>Multimodal imaging: an evaluation of univariate and multivariate methods for simultaneous EEG/fMRI - Corrected Proof</dc:title><dc:creator>Federico De Martino, Giancarlo Valente, Aline W. de Borst, Fabrizio Esposito, Alard Roebroeck, Rainer Goebel, Elia Formisano</dc:creator><dc:identifier>10.1016/j.mri.2009.12.026</dc:identifier><dc:source>Magnetic Resonance Imaging (2010)</dc:source><dc:date>2010-01-25</dc:date><prism:publicationName>Magnetic Resonance Imaging</prism:publicationName><prism:publicationDate>2010-01-25</prism:publicationDate></item><item rdf:about="http://www.mrijournal.com/article/PIIS0730725X09003087/abstract?rss=yes"><title>Relationship between neural and hemodynamic signals during spontaneous activity studied with temporal kernel CCA - Corrected Proof</title><link>http://www.mrijournal.com/article/PIIS0730725X09003087/abstract?rss=yes</link><description>Abstract: Functional magnetic resonance imaging (fMRI) based on the so-called blood oxygen level-dependent (BOLD) contrast is a powerful tool for studying brain function not only locally but also on the large scale. Most studies assume a simple relationship between neural and BOLD activity, in spite of the fact that it is important to elucidate how the “when” and “what” components of neural activity are correlated to the “where” of fMRI data. Here we conducted simultaneous recordings of neural and BOLD signal fluctuations in primary visual (V1) cortex of anesthetized monkeys. We explored the neurovascular relationship during periods of spontaneous activity by using temporal kernel canonical correlation analysis (tkCCA). tkCCA is a multivariate method that can take into account any features in the signals that univariate analysis cannot. The method detects filters in voxel space (for fMRI data) and in frequency–time space (for neural data) that maximize the neurovascular correlation without any assumption of a hemodynamic response function (HRF). Our results showed a positive neurovascular coupling with a lag of 4–5 s and a larger contribution from local field potentials (LFPs) in the γ range than from low-frequency LFPs or spiking activity. The method also detected a higher correlation around the recording site in the concurrent spatial map, even though the pattern covered most of the occipital part of V1. These results are consistent with those of previous studies and represent the first multivariate analysis of intracranial electrophysiology and high-resolution fMRI.</description><dc:title>Relationship between neural and hemodynamic signals during spontaneous activity studied with temporal kernel CCA - Corrected Proof</dc:title><dc:creator>Yusuke Murayama, Felix Bieβmann, Frank C. Meinecke, Klaus-Robert Müller, Mark Augath, Axel Oeltermann, Nikos K. Logothetis</dc:creator><dc:identifier>10.1016/j.mri.2009.12.016</dc:identifier><dc:source>Magnetic Resonance Imaging (2010)</dc:source><dc:date>2010-01-22</dc:date><prism:publicationName>Magnetic Resonance Imaging</prism:publicationName><prism:publicationDate>2010-01-22</prism:publicationDate></item><item rdf:about="http://www.mrijournal.com/article/PIIS0730725X09003142/abstract?rss=yes"><title>Behavioral, electrophysiological and histopathological consequences of systemic manganese administration in MEMRI - Corrected Proof</title><link>http://www.mrijournal.com/article/PIIS0730725X09003142/abstract?rss=yes</link><description>Abstract: Manganese (Mn2+)-enhanced magnetic resonance imaging (MEMRI) offers the possibility to generate longitudinal maps of brain activity in unrestrained and behaving animals. However, Mn2+ is a metabolic toxin and a competitive inhibitor for Ca2+, and therefore, a yet unsolved question in MEMRI studies is whether the concentrations of metal ion used may alter brain physiology. In the present work we have investigated the behavioral, electrophysiological and histopathological consequences of MnCl2 administration at concentrations and dosage protocols regularly used in MEMRI. Three groups of animals were sc injected with saline, 0.1 and 0.5 mmol/kg MnCl2, respectively. In vivo electrophysiological recordings in the hippocampal formation revealed a mild but detectable decrease in both excitatory postsynaptic potentials (EPSP) and population spike (PS) amplitude under the highest MnCl2 dose. The EPSP to PS ratio was preserved at control levels, indicating that neuronal excitability was not affected. Experiments of pair pulse facilitation demonstrated a dose dependent increase in the potentiation of the second pulse, suggesting presynaptic Ca2+ competition as the mechanism for the decreased neuronal response. Tetanization of the perforant path induced a long-term potentiation of synaptic transmission that was comparable in all groups, regardless of treatment. Accordingly, the choice accuracy tested on a hippocampal-dependent learning task was not affected. However, the response latency in the same task was largely increased in the group receiving 0.5 mmol/kg of MnCl2. Immunohistological examination of the hippocampus at the end of the experiments revealed no sign of neuronal toxicity or glial reaction. Although we show that MEMRI at 0.1 mmol/Kg MnCl2 may be safely applied to the study of cognitive networks, a detailed assessment of toxicity is strongly recommended for each particular study and Mn2+ administration protocol.</description><dc:title>Behavioral, electrophysiological and histopathological consequences of systemic manganese administration in MEMRI - Corrected Proof</dc:title><dc:creator>Oxana Eschenko, Santiago Canals, Irina Simanova, Nikos K. Logothetis</dc:creator><dc:identifier>10.1016/j.mri.2009.12.022</dc:identifier><dc:source>Magnetic Resonance Imaging (2010)</dc:source><dc:date>2010-01-22</dc:date><prism:publicationName>Magnetic Resonance Imaging</prism:publicationName><prism:publicationDate>2010-01-22</prism:publicationDate></item></rdf:RDF>