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θ 振荡向认知控制的最佳频率移动。

Theta oscillations shift towards optimal frequency for cognitive control.

机构信息

Department of Experimental Psychology, Ghent University, Ghent, Belgium.

Department of Neurophysiology and Pathophysiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.

出版信息

Nat Hum Behav. 2022 Jul;6(7):1000-1013. doi: 10.1038/s41562-022-01335-5. Epub 2022 Apr 21.

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.

摘要

认知控制允许在复杂且不断变化的环境中灵活地引导行为。它由支持远距离神经群体协调的θ频段(4-7 Hz)神经振荡提供。然而,关于允许这种灵活控制的确切神经机制知之甚少。大多数研究都集中在θ波幅度上,表明当需要控制时它会增加,但θ振荡的另一个重要方面,即其峰值频率,在很大程度上被忽视了。在这里,我们使用计算模型以及在三个独立数据集的行为和电生理记录,表明θ振荡会根据任务需求自适应地向最佳频率转移。我们提供的证据表明,θ频率平衡了任务表示的可靠建立和任务相关感觉和运动信息的门控,并且这种频率转移预测了行为表现。我们的研究提出了一种支持灵活控制的机制,并呼吁重新评估θ振荡在自适应行为中的机械作用。

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