Flexibility of intrinsic neural timescales during distinct behavioral states

Recent neuroimaging studies demonstrate a heterogeneity of timescales prevalent in the brain's ongoing spontaneous activity, labeled intrinsic neural timescales (INT). At the same time, neural timescales also reflect stimulus- or task-related activity. The relationship of the INT during the brain's spontaneous activity with their involvement in task states including behavior remains unclear. To address this question, we combined calcium imaging data of spontaneously behaving mice and human electroencephalography (EEG) during rest and task states with computational modeling. We obtained four primary findings: (i) the distinct behavioral states can be accurately predicted from INT, (ii) INT become longer during behavioral states compared to rest, (iii) INT change from rest to task is correlated negatively with the variability of INT during rest, (iv) neural mass modeling shows a key role of recurrent connections in mediating the rest-task change of INT. Extending current findings, our results show the dynamic nature of the brain's INT in reflecting continuous behavior through their flexible rest-task modulation possibly mediated by recurrent connections.

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Publication Details

Journal
Communications Biology
Published
2024-12-19
DOI
https://doi.org/10.1038/s42003-024-07349-1
Citations
14
Primary Topic
Neural dynamics and brain function
Type
article
Field-Weighted Citation Impact
4.80

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article

Flexibility of intrinsic neural timescales during distinct behavioral states

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14 citations
Communications Biology
Neural dynamics and brain function
4.80
article

Flexibility of intrinsic neural timescales during distinct behavioral states

Philipp Klar, Angelika Wolman, Kaan Keskin, Yasir Çatal, Georg Northoff, David Smith
article en
14 citations

Abstract

Recent neuroimaging studies demonstrate a heterogeneity of timescales prevalent in the brain's ongoing spontaneous activity, labeled intrinsic neural timescales (INT). At the same time, neural timescales also reflect stimulus- or task-related activity. The relationship of the INT during the brain's spontaneous activity with their involvement in task states including behavior remains unclear. To address this question, we combined calcium imaging data of spontaneously behaving mice and human electroencephalography (EEG) during rest and task states with computational modeling. We obtained four primary findings: (i) the distinct behavioral states can be accurately predicted from INT, (ii) INT become longer during behavioral states compared to rest, (iii) INT change from rest to task is correlated negatively with the variability of INT during rest, (iv) neural mass modeling shows a key role of recurrent connections in mediating the rest-task change of INT. Extending current findings, our results show the dynamic nature of the brain's INT in reflecting continuous behavior through their flexible rest-task modulation possibly mediated by recurrent connections.

Communications BiologyVol. 7(1)
University of Ottawa (CA), Royal Ottawa Mental Health Centre (CA), Ege University (TR), Institute of Mental Health (IN), MIND Research Institute (US), Heinrich Heine University Düsseldorf (DE)
European Commission, Canadian Institutes of Health Research, Natural Sciences and Engineering Research Council of Canada, Social Sciences and Humanities Research Council of Canada
Openalex Percentile: Top 4%
Neural dynamics and brain function
4.80
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