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高强度生理激活会破坏冲突处理的神经特征。

High-intensity physiological activation disrupts the neural signatures of conflict processing.

作者信息

Avancini Chiara, Ciria Luis F, Alameda Clara, Palenciano Ana F, Canales-Johnson Andrés, Bekinschtein Tristan A, Sanabria Daniel

机构信息

Mind, Brain and Behavior Research Center, Department of Experimental Psychology, University of Granada, Granada, Spain.

Cambridge Consciousness and Cognition Laboratory, Department of Psychology, University of Cambridge, Cambridge, UK.

出版信息

Commun Biol. 2024 Dec 5;7(1):1625. doi: 10.1038/s42003-024-06851-w.

DOI:10.1038/s42003-024-06851-w
PMID:39638868
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11893107/
Abstract

Physiological activation fluctuates throughout the day. Previous studies have shown that during periods of reduced activation, cognitive control remains resilient due to neural compensatory mechanisms. In this study, we investigate the effects of high physiological activation on both behavioural and neural markers of cognitive control. We hypothesize that while behavioural measures of cognitive control would remain intact during periods of high activation, there would be observable changes in neural correlates. In our electroencephalography study, we manipulate levels of physiological activation through physical exercise. Although we observe no significant impact on behavioural measures of cognitive conflict, both univariate and multivariate time-frequency markers prove unreliable under conditions of high activation. Moreover, we observe no modulation of whole-brain connectivity measures by physiological activation. We suggest that this dissociation between behavioural and neural measures indicates that the human cognitive control system remains resilient even at high activation, possibly due to underlying neural compensatory mechanisms.

摘要

生理激活在一天中会有所波动。先前的研究表明,在激活水平降低的时期,由于神经补偿机制,认知控制仍具有弹性。在本研究中,我们调查了高生理激活对认知控制的行为和神经标志物的影响。我们假设,虽然在高激活时期认知控制的行为指标将保持不变,但神经关联会有可观察到的变化。在我们的脑电图研究中,我们通过体育锻炼来操纵生理激活水平。尽管我们观察到对认知冲突的行为指标没有显著影响,但单变量和多变量时频标志物在高激活条件下都被证明是不可靠的。此外,我们没有观察到生理激活对全脑连接性指标的调节作用。我们认为,行为和神经指标之间的这种分离表明,即使在高激活状态下,人类认知控制系统仍具有弹性,这可能是由于潜在的神经补偿机制。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4ded/11893107/6e734c7a0f72/42003_2024_6851_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4ded/11893107/b44a1cd6003b/42003_2024_6851_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4ded/11893107/e5f7be2014ea/42003_2024_6851_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4ded/11893107/474efdc7676a/42003_2024_6851_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4ded/11893107/ea8ce17a7418/42003_2024_6851_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4ded/11893107/866759907cf8/42003_2024_6851_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4ded/11893107/6e734c7a0f72/42003_2024_6851_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4ded/11893107/b44a1cd6003b/42003_2024_6851_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4ded/11893107/e5f7be2014ea/42003_2024_6851_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4ded/11893107/474efdc7676a/42003_2024_6851_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4ded/11893107/ea8ce17a7418/42003_2024_6851_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4ded/11893107/866759907cf8/42003_2024_6851_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4ded/11893107/6e734c7a0f72/42003_2024_6851_Fig6_HTML.jpg

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本文引用的文献

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Flexible Changes in Attentional Focus and Task Rules Rely on A Shared Set of Frontoparietal Oscillatory Dynamics.注意焦点和任务规则的灵活变化依赖于一套共同的额顶叶振荡动力学。
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Feedback information transfer in the human brain reflects bistable perception in the absence of report.
人类大脑中的反馈信息传递反映了在没有报告的情况下的双稳态感知。
PLoS Biol. 2023 May 8;21(5):e3002120. doi: 10.1371/journal.pbio.3002120. eCollection 2023 May.
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Principles of large-scale neural interactions.大规模神经相互作用的原理
Neuron. 2023 Apr 5;111(7):987-1002. doi: 10.1016/j.neuron.2023.03.015.
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Preparing for Success: Neural Frontal Theta and Posterior Alpha Dynamics during Action Preparation Predict Flexible Resolution of Cognitive Conflicts.为成功做准备:动作准备期间的神经额叶θ波和后α波动力学预测认知冲突的灵活解决
J Cogn Neurosci. 2022 May 2;34(6):1070-1089. doi: 10.1162/jocn_a_01846.
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Different underlying mechanisms for high and low arousal in probabilistic learning in humans.人类在概率学习中,高唤醒和低唤醒的不同潜在机制。
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