EEG source-space synchrostate transitions and Markov modeling in the math-gifted brain during a long-chain reasoning task.

ABSTRACT: To reveal transition dynamics of global neuronal networks of math-gifted adolescents in handling long-chain reasoning, this study explores momentary phase-synchronized patterns, that is, electroencephalogram (EEG) synchrostates, of intracerebral sources sustained in successive 50 ms time windows during a reasoning task and non-task idle process. Through agglomerative hierarchical clustering for functional connectivity graphs and nested iterative cosine similarity tests, this study identifies seven general and one reasoning-specific prototypical functional connectivity patterns from all synchrostates. Markov modeling is performed for the time-sequential synchrostates of each trial to characterize the interstate transitions. The analysis reveals that default mode network, central executive n

SUBMITTER: Zhang L 

PROVIDER: S-EPMC7416043 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature