title: Multivariate analysis of correlation between electrophysiological and hemodynamic responses during cognitive processing.
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.
authors: Brain Research Unit, O.V. Lounasmaa Laboratory, Aalto University, FI-00076 Aalto, Finland; MEG Core and Advanced Magnetic Imaging Centre, Aalto NeuroImaging, Aalto University, FI-00076 Aalto, Finland. Electronic address: jan.kujala@aalto.fi.
authors: Jan
authors: J
authors: Kujala
authors: Center for the Neural Basis of Cognition, Carnegie Mellon University, Pittsburgh, PA 15213, USA.
authors: Gustavo
authors: G
authors: Sudre
authors: Brain Research Unit, O.V. Lounasmaa Laboratory, Aalto University, FI-00076 Aalto, Finland; MEG Core and Advanced Magnetic Imaging Centre, Aalto NeuroImaging, Aalto University, FI-00076 Aalto, Finland.
authors: Johanna
authors: J
authors: Vartiainen
authors: Brain Research Unit, O.V. Lounasmaa Laboratory, Aalto University, FI-00076 Aalto, Finland; Department of Neurological Sciences, University of Helsinki; Department of Neurology, Helsinki University Central Hospital.
authors: Mia
authors: M
authors: Liljeström
authors: Machine Learning Department, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA 15213, USA.
authors: Tom
authors: T
authors: Mitchell
authors: Brain Research Unit, O.V. Lounasmaa Laboratory, Aalto University, FI-00076 Aalto, Finland; MEG Core and Advanced Magnetic Imaging Centre, Aalto NeuroImaging, Aalto University, FI-00076 Aalto, Finland.
authors: Riitta
authors: R
authors: Salmelin
mesh_terms: D000328:Adult; D001783:Blood Flow Velocity; D001931:Brain Mapping / Q000379:methods*; D002540:Cerebral Cortex / Q000502:physiology*; D002560:Cerebrovascular Circulation / Q000502:physiology*; D003071:Cognition / Q000502:physiology*; D003627:Data Interpretation, Statistical; D005260:Female; D006801:Humans; D008279:Magnetic Resonance Imaging / Q000379:methods*; D015225:Magnetoencephalography / Q000379:methods*; D008297:Male; D008875:Middle Aged; D015999:Multivariate Analysis; D009415:Nerve Net / Q000502:physiology; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D013223:Statistics as Topic
keywords: Blood-oxygen-level dependent; Correlation; Functional magnetic resonance imaging; Magnetoencephalography; Multivariate analysis