Decoding finger movement in humans using synergy of EEG cortical current signals.

ABSTRACT: The synchronized activity of neuronal populations across multiple distant brain areas may reflect coordinated interactions of large-scale brain networks. Currently, there is no established method to investigate the temporal transitions between these large-scale networks that would allow, for example, to decode finger movements. Here we applied a matrix factorization method employing principal component and temporal independent component analyses to identify brain activity synchronizations. In accordance with previous studies investigating "muscle synergies", we refer to this activity as "brain activity synergy". Using electroencephalography (EEG), we first estimated cortical current sources (CSs) and then identified brain activity synergies within the estimated CS signals. A decoding analy

SUBMITTER: Yoshimura N 

PROVIDER: S-EPMC5595824 | biostudies-literature | 2017 Sep

REPOSITORIES: biostudies-literature