Magnetic Resonance Imaging
Volume 28, Issue 8 , Pages 1135-1142 , October 2010

Integration of EEG source imaging and fMRI during continuous viewing of natural movies

  • Kevin Whittingstall

      Affiliations

    • Max Planck Institute for Biological Cybernetics, Spemannstrasse 38, D-72076 Tübingen, Germany
    • Corresponding Author InformationCorresponding author. Spemannstrasse 38, D-72076 Tübingen, Germany. Tel.: +49 7071 601 1606; fax: +49 7071 601 652.
    • ,
  • Andreas Bartels

      Affiliations

    • Max Planck Institute for Biological Cybernetics, Spemannstrasse 38, D-72076 Tübingen, Germany
    • Centre for Integrative Neuroscience, University of Tübingen, Paul-Ehrlich-Str. 15-17, D-72076 Tübingen, Germany
    • ,
  • Vanessa Singh

      Affiliations

    • Max Planck Institute for Biological Cybernetics, Spemannstrasse 38, D-72076 Tübingen, Germany
    • ,
  • Soyoung Kwon

      Affiliations

    • Max Planck Institute for Biological Cybernetics, Spemannstrasse 38, D-72076 Tübingen, Germany
    • ,
  • Nikos K. Logothetis

      Affiliations

    • Max Planck Institute for Biological Cybernetics, Spemannstrasse 38, D-72076 Tübingen, Germany
    • Division of Imaging Science and Biomedical Engineering, University of Manchester, Manchester M13 9PT, United Kingdom

Received 11 October 2009 ,Revised 19 March 2010 ,Accepted 26 March 2010.

References 

  1. Logothetis NK, et al. Neurophysiological investigation of the basis of the fMRI signal. Nature. 2001;412(6843):150–157
  2. Viswanathan A, Freeman RD. Neurometabolic coupling in cerebral cortex reflects synaptic more than spiking activity. Nat Neurosci. 2007;10(10):1308–1312
  3. Rauch A, Rainer G, Logothetis NK. The effect of a serotonin-induced dissociation between spiking and perisynaptic activity on BOLD functional MRI. Proc Natl Acad Sci U S A. 2008;105(18):6759–6764
  4. Goense JB, Logothetis NK. Neurophysiology of the BOLD fMRI signal in awake monkeys. Curr Biol. 2008;18(9):631–640
  5. Whittingstall K, Logothetis NK. Frequency-band coupling in surface EEG reflects spiking activity in monkey visual cortex. Neuron. 2009;64(2):281–289
  6. Menon V, et al. Combined event-related fMRI and EEG evidence for temporal-parietal cortex activation during target detection. NeuroReport. 1997;8(14):3029–3037
  7. Mulert C, et al. Integration of fMRI and simultaneous EEG: towards a comprehensive understanding of localization and time-course of brain activity in target detection. Neuroimage. 2004;22(1):83–94
  8. Opitz B, et al. Combining electrophysiological and hemodynamic measures of the auditory oddball. Psychophysiology. 1999;36(1):142–147
  9. Di Russo F, et al. Identification of the neural sources of the pattern-reversal VEP. Neuroimage. 2005;24(3):874–886
  10. Kruggel F, et al. Recording of the event-related potentials during functional MRI at 3.0 Tesla field strength. Magn Reson Med. 2000;44(2):277–282
  11. Vanni S, et al. Sequence of pattern onset responses in the human visual areas: an fMRI constrained VEP source analysis. Neuroimage. 2004;21(3):801–817
  12. Grimm C, et al. A comparison between electric source localisation and fMRI during somatosensory stimulation. Electroencephalogr Clin Neurophysiol. 1998;106(1):22–29
  13. Whittingstall K, Stroink G, Schmidt M. Evaluating the spatial relationship of event-related potential and functional MRI sources in the primary visual cortex. Hum Brain Mapp. 2006;28(2):134–142
  14. Whittingstall K, et al. Correspondence of visual evoked potentials with FMRI signals in human visual cortex. Brain Topogr. 2008;21(2):86–92
  15. Liljestrom M, et al. Comparing MEG and fMRI views to naming actions and objects. Hum Brain Mapp. 2009;30(6):1845–1856
  16. Vitacco D, et al. Correspondence of event-related potential tomography and functional magnetic resonance imaging during language processing. Hum Brain Mapp. 2002;17(1):4–12
  17. Shigeto H, et al. Visual evoked cortical magnetic responses to checkerboard pattern reversal stimulation: a study on the neural generators of N75, P100 and N145. J Neurol Sci. 1998;156(2):186–194
  18. Bartels A, Zeki S. Functional brain mapping during free viewing of natural scenes. Hum Brain Mapp. 2004;21(2):75–85
  19. Bartels A, Zeki S. Brain dynamics during natural viewing conditions—a new guide for mapping connectivity in vivo. Neuroimage. 2005;24(2):339–349
  20. Delorme A, Makeig S. EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis. J Neurosci Methods. 2004;134(1):9–21
  21. Gratton G, Coles MG, Donchin E. A new method for off-line removal of ocular artifact. Electroencephalogr Clin Neurophysiol. 1983;55(4):468–484
  22. Jung TP, et al. Removing electroencephalographic artifacts by blind source separation. Psychophysiology. 2000;37(2):163–178
  23. Jung TP, et al. Removal of eye activity artifacts from visual event-related potentials in normal and clinical subjects. Clin Neurophysiol. 2000;111(10):1745–1758
  24. Ball T, et al. Signal quality of simultaneously recorded invasive and non-invasive EEG. Neuroimage. 2009;46(3):708–716
  25. Joyce CA, Gorodnitsky IF, Kutas M. Automatic removal of eye movement and blink artifacts from EEG data using blind component separation. Psychophysiology. 2004;41(2):313–325
  26. Crespo-Garcia M, Atienza M, Cantero JL. Muscle artifact removal from human sleep EEG by using independent component analysis. Ann Biomed Eng. 2008;36(3):467–475
  27. Pascual-Marqui RD, et al. Functional imaging with low-resolution brain electromagnetic tomography (LORETA): a review. Methods Find Exp Clin Pharmacol. 2002;24(Suppl C):91–95
  28. Pascual-Marqui RD, et al. Low resolution brain electromagnetic tomography (LORETA) functional imaging in acute, neuroleptic-naive, first-episode, productive schizophrenia. Psychiatry Res. 1999;90(3):169–179
  29. Anderer P, et al. Differential effects of normal aging on sources of standard N1, target N1 and target P300 auditory event-related brain potentials revealed by low resolution electromagnetic tomography (LORETA). Electroencephalogr Clin Neurophysiol. 1998;108(2):160–174
  30. Worrell GA, et al. Localization of the epileptic focus by low-resolution electromagnetic tomography in patients with a lesion demonstrated by MRI. Brain Topogr. 2000;12(4):273–282
  31. 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
  32. Bartels A, Logothetis NK, Moutoussis K. fMRI and its interpretations: an illustration on directional selectivity in area V5/MT. Trends Neurosci. 2008;31(9):444–453
  33. Henrie JA, Shapley R. LFP power spectra in V1 cortex: the graded effect of stimulus contrast. J Neurophysiol. 2005;94(1):479–490
  34. Lu HD, Roe AW. Optical imaging of contrast response in macaque monkey V1 and V2. Cereb Cortex. 2007;17(11):2675–2695
  35. Avidan G, et al. Contrast sensitivity in human visual areas and its relationship to object recognition. J Neurophysiol. 2002;87(6):3102–3116
  36. Yoshor D, et al. Receptive fields in human visual cortex mapped with surface electrodes. Cereb Cortex. 2007;17(10):2293–2302
  37. Schmolesky MT, et al. Signal timing across the macaque visual system. J Neurophysiol. 1998;79(6):3272–3278
  38. Delorme A, Sejnowski T, Makeig S. Enhanced detection of artifacts in EEG data using higher-order statistics and independent component analysis. Neuroimage. 2007;34(4):1443–1449

☆ This work was supported by the Max Planck Society.

PII: S0730-725X(10)00133-5

doi: 10.1016/j.mri.2010.03.042

Magnetic Resonance Imaging
Volume 28, Issue 8 , Pages 1135-1142 , October 2010

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