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Transcranial stimulation of alpha oscillations modulates brain state dynamics in sustained attention

The brain operates an advanced complex system to support mental activities. Cognition is thought to emerge from dynamic states of the complex brain system, which are organized spatially through large-scale neural networks and temporally via neural synchrony. However, specific mechanisms underlying t...

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Autores principales: Brown, Joshua A., Clancy, Kevin J., Chen, Chaowen, Zeng, Yimeng, Qin, Shaozheng, Ding, Mingzhou, Li, Wen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10312462/
https://www.ncbi.nlm.nih.gov/pubmed/37398325
http://dx.doi.org/10.1101/2023.05.27.542583
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author Brown, Joshua A.
Clancy, Kevin J.
Chen, Chaowen
Zeng, Yimeng
Qin, Shaozheng
Ding, Mingzhou
Li, Wen
author_facet Brown, Joshua A.
Clancy, Kevin J.
Chen, Chaowen
Zeng, Yimeng
Qin, Shaozheng
Ding, Mingzhou
Li, Wen
author_sort Brown, Joshua A.
collection PubMed
description The brain operates an advanced complex system to support mental activities. Cognition is thought to emerge from dynamic states of the complex brain system, which are organized spatially through large-scale neural networks and temporally via neural synchrony. However, specific mechanisms underlying these processes remain obscure. Applying high-definition alpha-frequency transcranial alternating-current stimulation (HD α-tACS) in a continuous performance task (CPT) during functional resonance imaging (fMRI), we causally elucidate these major organizational architectures in a key cognitive operation—sustained attention. We demonstrated that α-tACS enhanced both electroencephalogram (EEG) alpha power and sustained attention, in a correlated fashion. Akin to temporal fluctuations inherent in sustained attention, our hidden Markov modeling (HMM) of fMRI timeseries uncovered several recurrent, dynamic brain states, which were organized through a few major neural networks and regulated by the alpha oscillation. Specifically, during sustain attention, α-tACS regulated the temporal dynamics of the brain states by suppressing a Task-Negative state (characterized by activation of the default mode network/DMN) and Distraction state (with activation of the ventral attention and visual networks). These findings thus linked dynamic states of major neural networks and alpha oscillations, providing important insights into systems-level mechanisms of attention. They also highlight the efficacy of non-invasive oscillatory neuromodulation in probing the functioning of the complex brain system and encourage future clinical applications to improve neural systems health and cognitive performance.
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spelling pubmed-103124622023-07-01 Transcranial stimulation of alpha oscillations modulates brain state dynamics in sustained attention Brown, Joshua A. Clancy, Kevin J. Chen, Chaowen Zeng, Yimeng Qin, Shaozheng Ding, Mingzhou Li, Wen bioRxiv Article The brain operates an advanced complex system to support mental activities. Cognition is thought to emerge from dynamic states of the complex brain system, which are organized spatially through large-scale neural networks and temporally via neural synchrony. However, specific mechanisms underlying these processes remain obscure. Applying high-definition alpha-frequency transcranial alternating-current stimulation (HD α-tACS) in a continuous performance task (CPT) during functional resonance imaging (fMRI), we causally elucidate these major organizational architectures in a key cognitive operation—sustained attention. We demonstrated that α-tACS enhanced both electroencephalogram (EEG) alpha power and sustained attention, in a correlated fashion. Akin to temporal fluctuations inherent in sustained attention, our hidden Markov modeling (HMM) of fMRI timeseries uncovered several recurrent, dynamic brain states, which were organized through a few major neural networks and regulated by the alpha oscillation. Specifically, during sustain attention, α-tACS regulated the temporal dynamics of the brain states by suppressing a Task-Negative state (characterized by activation of the default mode network/DMN) and Distraction state (with activation of the ventral attention and visual networks). These findings thus linked dynamic states of major neural networks and alpha oscillations, providing important insights into systems-level mechanisms of attention. They also highlight the efficacy of non-invasive oscillatory neuromodulation in probing the functioning of the complex brain system and encourage future clinical applications to improve neural systems health and cognitive performance. Cold Spring Harbor Laboratory 2023-08-29 /pmc/articles/PMC10312462/ /pubmed/37398325 http://dx.doi.org/10.1101/2023.05.27.542583 Text en https://creativecommons.org/licenses/by-nd/4.0/This work is licensed under a Creative Commons Attribution-NoDerivatives 4.0 International License (https://creativecommons.org/licenses/by-nd/4.0/) , which allows reusers to copy and distribute the material in any medium or format in unadapted form only, and only so long as attribution is given to the creator. The license allows for commercial use.
spellingShingle Article
Brown, Joshua A.
Clancy, Kevin J.
Chen, Chaowen
Zeng, Yimeng
Qin, Shaozheng
Ding, Mingzhou
Li, Wen
Transcranial stimulation of alpha oscillations modulates brain state dynamics in sustained attention
title Transcranial stimulation of alpha oscillations modulates brain state dynamics in sustained attention
title_full Transcranial stimulation of alpha oscillations modulates brain state dynamics in sustained attention
title_fullStr Transcranial stimulation of alpha oscillations modulates brain state dynamics in sustained attention
title_full_unstemmed Transcranial stimulation of alpha oscillations modulates brain state dynamics in sustained attention
title_short Transcranial stimulation of alpha oscillations modulates brain state dynamics in sustained attention
title_sort transcranial stimulation of alpha oscillations modulates brain state dynamics in sustained attention
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10312462/
https://www.ncbi.nlm.nih.gov/pubmed/37398325
http://dx.doi.org/10.1101/2023.05.27.542583
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