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Age-Related Decline of Sensorimotor Integration Influences Resting-State Functional Brain Connectivity
Age-related decline in sensorimotor integration involves both peripheral and central components related to proprioception and kinesthesia. To explore the role of cortical motor networks, we investigated the association between resting-state functional connectivity and a gap-detection angle measured...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7764051/ https://www.ncbi.nlm.nih.gov/pubmed/33321926 http://dx.doi.org/10.3390/brainsci10120966 |
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author | Yoshimura, Natsue Tsuda, Hayato Aquino, Domenico Takagi, Atsushi Ogata, Yousuke Koike, Yasuharu Minati, Ludovico |
author_facet | Yoshimura, Natsue Tsuda, Hayato Aquino, Domenico Takagi, Atsushi Ogata, Yousuke Koike, Yasuharu Minati, Ludovico |
author_sort | Yoshimura, Natsue |
collection | PubMed |
description | Age-related decline in sensorimotor integration involves both peripheral and central components related to proprioception and kinesthesia. To explore the role of cortical motor networks, we investigated the association between resting-state functional connectivity and a gap-detection angle measured during an arm-reaching task. Four region pairs, namely the left primary sensory area with the left primary motor area (S1left–M1left), the left supplementary motor area with M1left (SMAleft–M1left), the left pre-supplementary motor area with SMAleft (preSMAleft–SMAleft), and the right pre-supplementary motor area with the right premotor area (preSMAright–PMdright), showed significant age-by-gap detection ability interactions in connectivity in the form of opposite-sign correlations with gap detection ability between younger and older participants. Morphometry and tractography analyses did not reveal corresponding structural effects. These results suggest that the impact of aging on sensorimotor integration at the cortical level may be tracked by resting-state brain activity and is primarily functional, rather than structural. From the observation of opposite-sign correlations, we hypothesize that in aging, a “low-level” motor system may hyper-engage unsuccessfully, its dysfunction possibly being compensated by a “high-level” motor system, wherein stronger connectivity predicts higher gap-detection performance. This hypothesis should be tested in future neuroimaging and clinical studies. |
format | Online Article Text |
id | pubmed-7764051 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-77640512020-12-27 Age-Related Decline of Sensorimotor Integration Influences Resting-State Functional Brain Connectivity Yoshimura, Natsue Tsuda, Hayato Aquino, Domenico Takagi, Atsushi Ogata, Yousuke Koike, Yasuharu Minati, Ludovico Brain Sci Article Age-related decline in sensorimotor integration involves both peripheral and central components related to proprioception and kinesthesia. To explore the role of cortical motor networks, we investigated the association between resting-state functional connectivity and a gap-detection angle measured during an arm-reaching task. Four region pairs, namely the left primary sensory area with the left primary motor area (S1left–M1left), the left supplementary motor area with M1left (SMAleft–M1left), the left pre-supplementary motor area with SMAleft (preSMAleft–SMAleft), and the right pre-supplementary motor area with the right premotor area (preSMAright–PMdright), showed significant age-by-gap detection ability interactions in connectivity in the form of opposite-sign correlations with gap detection ability between younger and older participants. Morphometry and tractography analyses did not reveal corresponding structural effects. These results suggest that the impact of aging on sensorimotor integration at the cortical level may be tracked by resting-state brain activity and is primarily functional, rather than structural. From the observation of opposite-sign correlations, we hypothesize that in aging, a “low-level” motor system may hyper-engage unsuccessfully, its dysfunction possibly being compensated by a “high-level” motor system, wherein stronger connectivity predicts higher gap-detection performance. This hypothesis should be tested in future neuroimaging and clinical studies. MDPI 2020-12-10 /pmc/articles/PMC7764051/ /pubmed/33321926 http://dx.doi.org/10.3390/brainsci10120966 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Yoshimura, Natsue Tsuda, Hayato Aquino, Domenico Takagi, Atsushi Ogata, Yousuke Koike, Yasuharu Minati, Ludovico Age-Related Decline of Sensorimotor Integration Influences Resting-State Functional Brain Connectivity |
title | Age-Related Decline of Sensorimotor Integration Influences Resting-State Functional Brain Connectivity |
title_full | Age-Related Decline of Sensorimotor Integration Influences Resting-State Functional Brain Connectivity |
title_fullStr | Age-Related Decline of Sensorimotor Integration Influences Resting-State Functional Brain Connectivity |
title_full_unstemmed | Age-Related Decline of Sensorimotor Integration Influences Resting-State Functional Brain Connectivity |
title_short | Age-Related Decline of Sensorimotor Integration Influences Resting-State Functional Brain Connectivity |
title_sort | age-related decline of sensorimotor integration influences resting-state functional brain connectivity |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7764051/ https://www.ncbi.nlm.nih.gov/pubmed/33321926 http://dx.doi.org/10.3390/brainsci10120966 |
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