Flexibility of intrinsic neural timescales during distinct behavioral states.

Autor: Çatal Y; Mind, Brain Imaging and Neuroethics Research Unit, University of Ottawa, Ontario, ON, Canada. catalyasir@gmail.com.; University of Ottawa Institute of Mental Health Research, Ottawa, ON, Canada. catalyasir@gmail.com., Keskin K; University of Ottawa Institute of Mental Health Research, Ottawa, ON, Canada.; Department of Psychiatry, Ege University, Izmir, Turkey.; SoCAT Lab, Ege University, Izmir, Turkey., Wolman A; Mind, Brain Imaging and Neuroethics Research Unit, University of Ottawa, Ontario, ON, Canada.; University of Ottawa Institute of Mental Health Research, Ottawa, ON, Canada., Klar P; Faculty of Mathematics and Natural Sciences, Institute of Experimental Psychology, Heinrich Heine University of Düsseldorf, Düsseldorf, Germany.; Institute of Neuroscience and Medicine, Brain & Behaviour (INM-7), Research Centre Jülich, Jülich, Germany., Smith D; University of Ottawa Institute of Mental Health Research, Ottawa, ON, Canada.; Department of Cellular and Molecular Medicine, University of Ottawa, Ottawa, ON, Canada., Northoff G; Mind, Brain Imaging and Neuroethics Research Unit, University of Ottawa, Ontario, ON, Canada.; University of Ottawa Institute of Mental Health Research, Ottawa, ON, Canada.
Jazyk: angličtina
Zdroj: Communications biology [Commun Biol] 2024 Dec 19; Vol. 7 (1), pp. 1667. Date of Electronic Publication: 2024 Dec 19.
DOI: 10.1038/s42003-024-07349-1
Abstrakt: 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.
Competing Interests: Competing interests: The authors declare no competing interests.
(© 2024. The Author(s).)
Databáze: MEDLINE
Externí odkaz: