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. 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. 3Department of Experimental Psychology, University of Oxford, Oxford, United KingdomĬomplex thought and behavior arise through dynamic recruitment of large-scale brain networks.
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