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Temporal organisation of the brain's intrinsic motor network: The relationship with circadian phenotype and motor performance

BACKGROUND: Functional connectivity (FC) of the motor network (MN) is often used to investigate how intrinsic properties of the brain are associated with motor abilities and performance. In addition, the MN is a key feature in clinical work to map the recovery after stroke and aid the understanding...

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Autores principales: Facer-Childs, Elise R., de Campos, Brunno M., Middleton, Benita, Skene, Debra J., Bagshaw, Andrew P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Academic Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8214225/
https://www.ncbi.nlm.nih.gov/pubmed/33577933
http://dx.doi.org/10.1016/j.neuroimage.2021.117840
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author Facer-Childs, Elise R.
de Campos, Brunno M.
Middleton, Benita
Skene, Debra J.
Bagshaw, Andrew P.
author_facet Facer-Childs, Elise R.
de Campos, Brunno M.
Middleton, Benita
Skene, Debra J.
Bagshaw, Andrew P.
author_sort Facer-Childs, Elise R.
collection PubMed
description BACKGROUND: Functional connectivity (FC) of the motor network (MN) is often used to investigate how intrinsic properties of the brain are associated with motor abilities and performance. In addition, the MN is a key feature in clinical work to map the recovery after stroke and aid the understanding of neurodegenerative disorders. Time of day variation and individual differences in circadian timing, however, have not yet been considered collectively when looking at FC. METHODS: A total of 33 healthy, right handed individuals (13 male, 23.1 ± 4.2 years) took part in the study. Actigraphy, sleep diaries and circadian phase markers (dim light melatonin onset and cortisol awakening response) were used to determine early (ECP, n = 13) and late (LCP, n = 20) circadian phenotype groups. Resting state functional MRI testing sessions were conducted at 14:00 h, 20:00 h and 08:00 h and preceded by a maximum voluntary contraction test for isometric grip strength to measure motor performance. RESULTS: Significant differences in FC of the MN between ECPs and LCPs were found, as well as significant variations between different times of day. A higher amplitude in diurnal variation of FC and performance was observed in LCPs compared to ECPs, with the morning being most significantly affected. Overall, lower FC was significantly associated with poorer motor performance. DISCUSSION: Our findings uncover intrinsic differences between times of day and circadian phenotype groups. This suggests that central mechanisms contribute to diurnal variation in motor performance and the functional integrity of the MN at rest influences the ability to perform in a motor task.
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spelling pubmed-82142252021-06-25 Temporal organisation of the brain's intrinsic motor network: The relationship with circadian phenotype and motor performance Facer-Childs, Elise R. de Campos, Brunno M. Middleton, Benita Skene, Debra J. Bagshaw, Andrew P. Neuroimage Article BACKGROUND: Functional connectivity (FC) of the motor network (MN) is often used to investigate how intrinsic properties of the brain are associated with motor abilities and performance. In addition, the MN is a key feature in clinical work to map the recovery after stroke and aid the understanding of neurodegenerative disorders. Time of day variation and individual differences in circadian timing, however, have not yet been considered collectively when looking at FC. METHODS: A total of 33 healthy, right handed individuals (13 male, 23.1 ± 4.2 years) took part in the study. Actigraphy, sleep diaries and circadian phase markers (dim light melatonin onset and cortisol awakening response) were used to determine early (ECP, n = 13) and late (LCP, n = 20) circadian phenotype groups. Resting state functional MRI testing sessions were conducted at 14:00 h, 20:00 h and 08:00 h and preceded by a maximum voluntary contraction test for isometric grip strength to measure motor performance. RESULTS: Significant differences in FC of the MN between ECPs and LCPs were found, as well as significant variations between different times of day. A higher amplitude in diurnal variation of FC and performance was observed in LCPs compared to ECPs, with the morning being most significantly affected. Overall, lower FC was significantly associated with poorer motor performance. DISCUSSION: Our findings uncover intrinsic differences between times of day and circadian phenotype groups. This suggests that central mechanisms contribute to diurnal variation in motor performance and the functional integrity of the MN at rest influences the ability to perform in a motor task. Academic Press 2021-05-15 /pmc/articles/PMC8214225/ /pubmed/33577933 http://dx.doi.org/10.1016/j.neuroimage.2021.117840 Text en © 2021 The Authors. Published by Elsevier Inc. https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Facer-Childs, Elise R.
de Campos, Brunno M.
Middleton, Benita
Skene, Debra J.
Bagshaw, Andrew P.
Temporal organisation of the brain's intrinsic motor network: The relationship with circadian phenotype and motor performance
title Temporal organisation of the brain's intrinsic motor network: The relationship with circadian phenotype and motor performance
title_full Temporal organisation of the brain's intrinsic motor network: The relationship with circadian phenotype and motor performance
title_fullStr Temporal organisation of the brain's intrinsic motor network: The relationship with circadian phenotype and motor performance
title_full_unstemmed Temporal organisation of the brain's intrinsic motor network: The relationship with circadian phenotype and motor performance
title_short Temporal organisation of the brain's intrinsic motor network: The relationship with circadian phenotype and motor performance
title_sort temporal organisation of the brain's intrinsic motor network: the relationship with circadian phenotype and motor performance
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8214225/
https://www.ncbi.nlm.nih.gov/pubmed/33577933
http://dx.doi.org/10.1016/j.neuroimage.2021.117840
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