A rapid theta network mechanism for flexible information encoding

Elizabeth L. Johnson (), Jack J. Lin, David King-Stephens, Peter B. Weber, Kenneth D. Laxer, Ignacio Saez, Fady Girgis, Mark D’Esposito, Robert T. Knight and David Badre ()
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Elizabeth L. Johnson: Northwestern University
Jack J. Lin: University of California
David King-Stephens: California Pacific Medical Center
Peter B. Weber: California Pacific Medical Center
Kenneth D. Laxer: California Pacific Medical Center
Ignacio Saez: University of California
Fady Girgis: University of California
Mark D’Esposito: University of California
Robert T. Knight: University of California
David Badre: Brown University

Nature Communications, 2023, vol. 14, issue 1, 1-14

Abstract: Abstract Flexible behavior requires gating mechanisms that encode only task-relevant information in working memory. Extant literature supports a theoretical division of labor whereby lateral frontoparietal interactions underlie information maintenance and the striatum enacts the gate. Here, we reveal neocortical gating mechanisms in intracranial EEG patients by identifying rapid, within-trial changes in regional and inter-regional activities that predict subsequent behavioral outputs. Results first demonstrate information accumulation mechanisms that extend prior fMRI (i.e., regional high-frequency activity) and EEG evidence (inter-regional theta synchrony) of distributed neocortical networks in working memory. Second, results demonstrate that rapid changes in theta synchrony, reflected in changing patterns of default mode network connectivity, support filtering. Graph theoretical analyses further linked filtering in task-relevant information and filtering out irrelevant information to dorsal and ventral attention networks, respectively. Results establish a rapid neocortical theta network mechanism for flexible information encoding, a role previously attributed to the striatum.

Date: 2023
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DOI: 10.1038/s41467-023-38574-7

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