Theta oscillations shift towards optimal frequency for cognitive control
Mehdi Senoussi (),
Pieter Verbeke,
Kobe Desender,
Esther Loof,
Durk Talsma and
Tom Verguts
Additional contact information
Mehdi Senoussi: Ghent University
Pieter Verbeke: Ghent University
Kobe Desender: Ghent University
Esther Loof: Ghent University
Durk Talsma: Ghent University
Tom Verguts: Ghent University
Nature Human Behaviour, 2022, vol. 6, issue 7, 1000-1013
Abstract:
Abstract Cognitive control allows to flexibly guide behaviour in a complex and ever-changing environment. It is supported by theta band (4–7 Hz) neural oscillations that coordinate distant neural populations. However, little is known about the precise neural mechanisms permitting such flexible control. Most research has focused on theta amplitude, showing that it increases when control is needed, but a second essential aspect of theta oscillations, their peak frequency, has mostly been overlooked. Here, using computational modelling and behavioural and electrophysiological recordings, in three independent datasets, we show that theta oscillations adaptively shift towards optimal frequency depending on task demands. We provide evidence that theta frequency balances reliable set-up of task representation and gating of task-relevant sensory and motor information and that this frequency shift predicts behavioural performance. Our study presents a mechanism supporting flexible control and calls for a reevaluation of the mechanistic role of theta oscillations in adaptive behaviour.
Date: 2022
References: Add references at CitEc
Citations:
Downloads: (external link)
https://www.nature.com/articles/s41562-022-01335-5 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:nat:nathum:v:6:y:2022:i:7:d:10.1038_s41562-022-01335-5
Ordering information: This journal article can be ordered from
https://www.nature.com/nathumbehav/
DOI: 10.1038/s41562-022-01335-5
Access Statistics for this article
Nature Human Behaviour is currently edited by Stavroula Kousta
More articles in Nature Human Behaviour from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().