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人类动作停止过程中,瞬态β调制决策阈值。

Transient beta modulates decision thresholds during human action-stopping.

机构信息

Department of Psychology, University of California San Diego, 9500 Gilman Drive, La Jolla, California 92093, USA.

Department of Psychology, University of California San Diego, 9500 Gilman Drive, La Jolla, California 92093, USA.

出版信息

Neuroimage. 2022 Jul 1;254:119145. doi: 10.1016/j.neuroimage.2022.119145. Epub 2022 Mar 24.

Abstract

Action-stopping in humans involves bursts of beta oscillations in prefrontal-basal ganglia regions. To determine the functional role of these beta bursts we took advantage of the Race Model framework describing action-stopping. We incorporated beta bursts in three race model variants, each implementing a different functional contribution of beta to action-stopping. In these variants, we hypothesized that a transient increase in beta could (1) modulate decision thresholds, (2) change stop accumulation rates, or (3) promote the interaction between the Stop and the Go process. We then tested the model predictions using EEG recordings in humans performing a Stop-signal task. We found that the model variant in which beta increased decision thresholds for a brief period of time best explained the empirical data. The model parameters fitted to the empirical data indicated that beta bursts involve a stronger decision threshold modulation for the Go process than for the Stop process. This suggests that prefrontal beta influences stopping by temporarily holding the response from execution. Our study further suggests that human action-stopping could be multi-staged with the beta acting as a pause, increasing the response threshold for the Stop process to modulate behavior successfully. Overall, our approach of introducing transient oscillations into the race model and testing against human electrophysiological data provides a novel account of the puzzle of prefrontal beta in executive control.

摘要

人类的动作停止涉及前额叶-基底神经节区域的β 振荡爆发。为了确定这些β 爆发的功能作用,我们利用 Race Model 框架来描述动作停止。我们在三种 Race Model 变体中加入了β 爆发,每种变体都实现了β 对动作停止的不同功能贡献。在这些变体中,我们假设β 的短暂增加可能会:(1)调节决策阈值;(2)改变停止积累率;或 (3)促进停止和去做过程之间的相互作用。然后,我们使用人类执行停止信号任务的 EEG 记录来测试模型预测。我们发现,β 短暂增加决策阈值的模型变体最能解释经验数据。拟合经验数据的模型参数表明,β 爆发涉及到对去做过程的决策阈值更强的调制,而不是对停止过程的调制。这表明前额叶的β 通过暂时抑制反应的执行来影响停止。我们的研究进一步表明,人类的动作停止可能是多阶段的,β 作为暂停,增加停止过程的反应阈值,以成功调节行为。总的来说,我们将瞬态振荡引入 Race Model 并与人类电生理数据进行测试的方法,为前额叶β 在执行控制中的谜题提供了一个新的解释。

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