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Cortical theta–gamma coupling governs the adaptive control of motor commands

Motor control requires the adaptive updating of internal models to successfully target desired outcomes. This adaptive control can be proactive, such that imminent actions and corresponding sensorimotor programmes are anticipated prior to movement, or reactive, such that online error correction is n...

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Autores principales: Spooner, Rachel K, Wilson, Tony W
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9631971/
https://www.ncbi.nlm.nih.gov/pubmed/36337344
http://dx.doi.org/10.1093/braincomms/fcac249
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author Spooner, Rachel K
Wilson, Tony W
author_facet Spooner, Rachel K
Wilson, Tony W
author_sort Spooner, Rachel K
collection PubMed
description Motor control requires the adaptive updating of internal models to successfully target desired outcomes. This adaptive control can be proactive, such that imminent actions and corresponding sensorimotor programmes are anticipated prior to movement, or reactive, such that online error correction is necessary to adjust to sudden changes. While substantial evidence implicates a distributed cortical network serving adaptive control when behavioural changes are required (e.g. response inhibition), the neural dynamics serving such control when the target motor commands are to remain intact are poorly understood. To address this, we developed a novel proactive–reactive cued finger tapping paradigm that was performed during magnetoencephalography by 25 healthy adults. Importantly, to ensure condition-wise differences in adaptive cueing were not attributable to changes in movement kinematics, motor selection and planning processes were held constant despite changes in task demands. All data were imaged in the time-frequency domain using a beamformer to evaluate the effect of proactive and reactive cues on movement-related oscillations and subsequent performance. Our results indicated spectrally specific increases in low (i.e. theta) and high (i.e. gamma) frequency oscillations during motor execution as a function of adaptive cueing. Additionally, we observed robust cross-frequency coupling of theta and gamma oscillatory power in the contralateral motor cortex and further, the strength of this theta–gamma coupling during motor execution was differentially predictive of behavioural improvements and decrements during reactive and proactive trials, respectively. These data indicate that functional oscillatory coupling may govern the adaptive control of movement in the healthy brain and importantly, may serve as effective proxies for characterizing declines in motor function in clinical populations in the future.
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spelling pubmed-96319712022-11-04 Cortical theta–gamma coupling governs the adaptive control of motor commands Spooner, Rachel K Wilson, Tony W Brain Commun Original Article Motor control requires the adaptive updating of internal models to successfully target desired outcomes. This adaptive control can be proactive, such that imminent actions and corresponding sensorimotor programmes are anticipated prior to movement, or reactive, such that online error correction is necessary to adjust to sudden changes. While substantial evidence implicates a distributed cortical network serving adaptive control when behavioural changes are required (e.g. response inhibition), the neural dynamics serving such control when the target motor commands are to remain intact are poorly understood. To address this, we developed a novel proactive–reactive cued finger tapping paradigm that was performed during magnetoencephalography by 25 healthy adults. Importantly, to ensure condition-wise differences in adaptive cueing were not attributable to changes in movement kinematics, motor selection and planning processes were held constant despite changes in task demands. All data were imaged in the time-frequency domain using a beamformer to evaluate the effect of proactive and reactive cues on movement-related oscillations and subsequent performance. Our results indicated spectrally specific increases in low (i.e. theta) and high (i.e. gamma) frequency oscillations during motor execution as a function of adaptive cueing. Additionally, we observed robust cross-frequency coupling of theta and gamma oscillatory power in the contralateral motor cortex and further, the strength of this theta–gamma coupling during motor execution was differentially predictive of behavioural improvements and decrements during reactive and proactive trials, respectively. These data indicate that functional oscillatory coupling may govern the adaptive control of movement in the healthy brain and importantly, may serve as effective proxies for characterizing declines in motor function in clinical populations in the future. Oxford University Press 2022-10-06 /pmc/articles/PMC9631971/ /pubmed/36337344 http://dx.doi.org/10.1093/braincomms/fcac249 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of the Guarantors of Brain. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Spooner, Rachel K
Wilson, Tony W
Cortical theta–gamma coupling governs the adaptive control of motor commands
title Cortical theta–gamma coupling governs the adaptive control of motor commands
title_full Cortical theta–gamma coupling governs the adaptive control of motor commands
title_fullStr Cortical theta–gamma coupling governs the adaptive control of motor commands
title_full_unstemmed Cortical theta–gamma coupling governs the adaptive control of motor commands
title_short Cortical theta–gamma coupling governs the adaptive control of motor commands
title_sort cortical theta–gamma coupling governs the adaptive control of motor commands
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9631971/
https://www.ncbi.nlm.nih.gov/pubmed/36337344
http://dx.doi.org/10.1093/braincomms/fcac249
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