Ontology highlight
ABSTRACT:
SUBMITTER: Quinn AJ
PROVIDER: S-EPMC6121015 | biostudies-other | 2018
REPOSITORIES: biostudies-other
Quinn Andrew J AJ Vidaurre Diego D Abeysuriya Romesh R Becker Robert R Nobre Anna C AC Woolrich Mark W MW
Frontiers in neuroscience 20180828
Complex thought and behavior arise through dynamic recruitment of large-scale brain networks. The signatures of this process may be observable in electrophysiological data; yet robust modeling of rapidly changing functional network structure on rapid cognitive timescales remains a considerable challenge. Here, we present one potential solution using Hidden Markov Models (HMMs), which are able to identify brain states characterized by engaging distinct functional networks that reoccur over time. ...[more]