Abstract:
:Animal and human studies have frequently shown that in primary sensory and motor regions the BOLD signal correlates positively with high-frequency and negatively with low-frequency neuronal activity. However, recent evidence suggests that this relationship may also vary across cortical areas. Detailed knowledge of the possible spectral diversity between electrophysiological and hemodynamic responses across the human cortex would be essential for neural-level interpretation of fMRI data and for informative multimodal combination of electromagnetic and hemodynamic imaging data, especially in cognitive tasks. We applied multivariate partial least squares correlation analysis to MEG-fMRI data recorded in a reading paradigm to determine the correlation patterns between the data types, at once, across the cortex. Our results revealed heterogeneous patterns of high-frequency correlation between MEG and fMRI responses, with marked dissociation between lower and higher order cortical regions. The low-frequency range showed substantial variance, with negative and positive correlations manifesting at different frequencies across cortical regions. These findings demonstrate the complexity of the neurophysiological counterparts of hemodynamic fluctuations in cognitive processing.
journal_name
Neuroimagejournal_title
NeuroImageauthors
Kujala J,Sudre G,Vartiainen J,Liljeström M,Mitchell T,Salmelin Rdoi
10.1016/j.neuroimage.2014.01.057subject
Has Abstractpub_date
2014-05-15 00:00:00pages
207-16eissn
1053-8119issn
1095-9572pii
S1053-8119(14)00088-3journal_volume
92pub_type
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