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Magnetic Resonance Imaging
Volume 27, Issue 10
, Pages 1382-1396
, December 2009
Bootstrap generation and evaluation of an fMRI simulation database
References
- . Brain magnetic resonance imaging with contrast dependent on blood oxygenation. Proc Natl Acad Sci U S A. 1990;87:9868–9872
- . Neurophysiological investigation of the basis of the fMRI signal. Nature. 2001;412:150–157
- . Coordinate-based voxel-wise meta-analysis: dividends of spatial normalization. Report of a virtual workshop. Hum Brain Mapp. 2005;25:1–5
- . An empirical comparison of SPM preprocessing parameters to the analysis of fMRI data. Neuroimage. 2002;17:19–28
- . An evaluation of thresholding techniques in fMRI analysis. Neuroimage. 2004;22:95–108
- . Comparing methods of analyzing fMRI statistical parametric maps. Neuroimage. 2004;22:1203–1213
- . Comparison of two exploratory data analysis methods for fMRI: fuzzy clustering vs. principal component analysis. Magn Reson Imaging. 2000;18:89–94
- . Region growing method for the analysis of functional MRI data. Neuroimage. 2003;20:455–465
- . A quantitative comparison of functional MRI cluster analysis. Artif Intell Med. 2004;31:57–71
- . Comparing functional connectivity via thresholding correlations and singular value decomposition. Philos Trans R Soc Lond B Biol Sci. 2005;360:913–920
- . A quantitative comparison of motion detection algorithms in fMRI. Magn Reson Imaging. 2001;19:959–963
- . Motion correction algorithms may create spurious brain activations in the absence of subject motion. Neuroimage. 2001;14:709–722
- . Development of computer-generated phantoms for fMRI software evaluation. Magn Reson Imaging. 2005;23:653–663
- . Comparison of fMRI statistical software packages and strategies for analysis of images containing random and stimulus-correlated motion. Comput Med Imaging Graph. 2007;31:436–446
- . Network structure of cerebral cortex shapes functional connectivity on multiple time scales. Proc Natl Acad Sci U S A. 2007;104:10240–10245
- . Cortical network dynamics with time delays reveals functional connectivity in the resting brain. Cogn Neurodyn. 2008;2:115–120
- . Dynamics of blood flow and oxygenation changes during brain activation: the balloon model. Magn Reson Med. 1998;39:855–864
- . A model of the coupling between brain electrical activity, metabolism, and hemodynamics: application to the interpretation of functional neuroimaging. Neuroimage. 2002;17:1162–1181
- . Development of a functional magnetic resonance imaging simulator for modeling realistic rigid-body motion artifacts. Magn Reson Med. 2006;56:364–380
- . Quantification in functional magnetic resonance imaging: Fuzzy clustering vs. correlation analysis. Magn Reson Imaging. 1998;16:115–125
- . Probabilistic independent component analysis for functional magnetic resonance imaging. IEEE Trans Med Imaging. 2004;23:137–152
- Identification of large-scale networks in the brain using fMRI. Neuroimage. 2006;29:1231–1243
- Colored noise and computational inference in neurophysiological (fMRI) time series analysis: resampling methods in time and wavelet domains. Hum Brain Mapp. 2001;12:61–78
- . Controlling the false positive rate in fuzzy clustering using randomization: application to fMRI activation detection. Magn Reson Imaging. 2004;22:631–638
- Complex-model-based estimation of thermal noise for fMRI data in the presence of artifacts. Magn Reson Imaging. 2007;25:1079–1088
- . Comprehensive mathematical simulation of functional magnetic resonance imaging time series including motion-related image distortion and spin saturation effect. Magn Reson Imaging. 2008;26:147–159
- . ROC methods for evaluation of fMRI techniques. Magn Reson Med. 1996;36:737–744
- . The Jackknife and Bootstrap. New York: Springer; 1995;
- . An Introduction to the Bootstrap. New York/London: Chapman & Hall/CRC; 1994;
- . CORSICA: correction of structured noise in fMRI by automatic identification of ICA components. Magn Reson Imaging. 2007;25:35–46
- . Inadmissibility of the usual estimator for the mean of a multivariate normal distribution. In: Proceedings of the Third Berkeley Symposium on Mathematical Statistics and Probability. Vol. 1:Los Angeles: University of California Press; 1956;p. 197–206
- . Non-white noise in fMRI: does modelling have an impact?. Neuroimage. 2006;29:54–66
- . A bootstrap test to investigate changes in brain connectivity for functional MRI. Stat Sin. 2008;18:1253–1268
- . Diagnosis and exploration of massively univariate neuroimaging models. Neuroimage. 2003;19:1014–1032
- . Functional connectivity in the resting brain: a network analysis of the default mode hypothesis. Proc Natl Acad Sci U S A. 2003;100:253–258
- . fMRI resting state networks define distinct modes of long-distance interactions in the human brain. Neuroimage. 2006;29:1359–1367
- . Nonlinear local electrovascular coupling. I: a theoretical model. Hum Brain Mapp. 2006;27:896–914
- . Nonlinear local electrovascular coupling. II: from data to neuronal masses. Hum Brain Mapp. 2007;28:335–354
- MIDAS — a multi-site fMRI simulator consortium. In: Tenth Int Conf on Functional Mapping of the Human Brain. 2004;
- . Automatic 3D intersubject registration of MR volumetric data in standardized talairach space. J Comput Assist Tomogr. 1994;18:192–205
- Analysis of fMRI data by blind separation into independent spatial components. Hum Brain Mapp. 1998;6:160–188
- . Noise reduction in BOLD-based fMRI using component analysis. Neuroimage. 2002;17:1521–1537
- . An information-maximization approach to blind separation and blind deconvolution. Neural Comput. 1995;7:1129–1159
- . An adaptive empirical Bayes estimator of the multivariate normal mean under quadratic loss. J Econom. 1990;44:189–213
PII: S0730-725X(09)00121-0
doi: 10.1016/j.mri.2009.05.034
© 2009 Elsevier Inc. All rights reserved.
« Previous
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Magnetic Resonance Imaging
Volume 27, Issue 10
, Pages 1382-1396
, December 2009
