Journal
CEREBRAL CORTEX
Volume 24, Issue 11, Pages 3080-3089Publisher
OXFORD UNIV PRESS INC
DOI: 10.1093/cercor/bht164
Keywords
band-limited power; functional networks; resting state; spectral clustering; subspace analysis
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Funding
- Intramural Research Program of the National Institute of Neurological Disorders and Stroke at the National Institutes of Health
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Spontaneous activity in the human brain occurs in complex spatiotemporal patterns that may reflect functionally specialized neural networks. Here, we propose a subspace analysis method to elucidate large-scale networks by the joint analysis of electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) data. The new approach is based on the notion that the neuroelectrical activity underlying the fMRI signal may have EEG spectral features that report on regional neuronal dynamics and interregional interactions. Applying this approach to resting healthy adults, we indeed found characteristic spectral signatures in the EEG correlates of spontaneous fMRI signals at individual brain regions as well as the temporal synchronization among widely distributed regions. These spectral signatures not only allowed us to parcel the brain into clusters that resembled the brain's established functional subdivision, but also offered important clues for disentangling the involvement of individual regions in fMRI network activity.
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