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Filtering by: Creator Satoru Suzuki Keyword Surface-Laplacian transformed EEG Resource type Dataset

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EEG state-trajectory instability and speed reveal global rules of intrinsic spatiotemporal neural dynamics

Description:

Spatiotemporal dynamics of EEG/MEG (electro-/magneto-encephalogram) have typically been investigated by applying time-frequency decomposition and examining amplitude-amplitude, phase-phase, or phase-amplitude associations between combinations of frequency bands and scalp sites, primarily to identify neural correlates of behaviors and traits. Instead, we directly extracted global EEG spatiotemporal dynamics as trajectories of k-dimensional state...

Keyword:

Surface-Laplacian transformed EEG and Rest with the eyes closed

Creator:

Satoru Suzuki

Owner:

Satoru Suzuki

Date Uploaded:

06/27/2020

Date Modified:

11/03/2020

Resource Type:

Dataset