Original paper
A state-space model of cross-region dynamic connectivity in MEG/EEG
Volume: 29, Pages: 1226 - 1234
Published: Jan 1, 2016
Abstract
Cross-region dynamic connectivity, which describes spatio-temporal dependence of neural activity among multiple brain regions of interest (ROIs), can provide important information for understanding cognition. For estimating such connectivity, magnetoencephalography (MEG) and electroencephalography (EEG) are well-suited tools because of their millisecond temporal resolution. However, localizing source activity in the brain requires solving an...
Paper Details
Title
A state-space model of cross-region dynamic connectivity in MEG/EEG
Published Date
Jan 1, 2016
Volume
29
Pages
1226 - 1234