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Abstract #0754

Neuroelectrical Decomposition of Spontaneous Brain Activity Observed with Functional Magnetic Resonance Imaging

Zhongming Liu1, Jacco A. De Zwart1, Catie Chang1, Qi Duan1, Peter van Gelderen1, Jeff H. Duyn1

1Advanced MRI Section, Laboratory of Functional and Molecular Imaging, NINDS, National Institutes of Health, Bethesda, MD, United States

We propose a subspace method to analyze simultaneous EEG and fMRI at rest. It is based on the notion that the neuro-electrical activity underlying the fMRI signal may have EEG spectral features that report on regional neuronal dynamics and inter-regional interactions. We found characteristic spectral signatures in the EEG correlates of spontaneous fMRI signals at individual regions as well as the temporal correlation among regions. These spectral signatures not only allowed us to parcel the brain into clusters that resembled the established functional subdivisions, but also offered important clues for disentangling the involvement of individual regions in fMRI network activity.

Keywords

activity adding address allow allowed allowing allows alpha analyzed applying auditory band bands blue bold brain briefly centroid characteristics charts closed clustering clusters coded coefficients color component components compounded concurrent conduction confluence connectivity considering contributing contributions convolved correlates correlation correlations covering created decomposed decomposition defined delta depended dependent derived describing differential disentangle distance distinct distribution divided dividing divisions dominated driven either emerge envelopes evaluated every example extracted eyes features filtered five frequency function functional functionally health hypothesize individual informed institutes inter interactions internally involvement issue jointly laboratory local matrix minute molecular network networks neural neuronal novel offer onto organized original orthogonalized oscillations overlapping parcel parceled particular pass pathways pattern placed power presence primary principal probing profile projected projection receive regional resembled response resting section seed seeded selected self sensors separately series signature signatures spatial spatially specialized spectral spectrally spontaneous stimulation strongest subspace systems tags temporal temporally theta tool travel underlying variance