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Neurophysiological Markers of Premotor–Motor Network Plasticity Predict Motor Performance in Young and Older Adults
Aging is commonly associated with a decline in motor control and neural plasticity. Tuning cortico–cortical interactions between premotor and motor areas is essential for controlling fine manual movements. However, whether plasticity in premotor–motor circuits predicts hand motor abilities in young...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10216324/ https://www.ncbi.nlm.nih.gov/pubmed/37239135 http://dx.doi.org/10.3390/biomedicines11051464 |
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author | Turrini, Sonia Bevacqua, Naomi Cataneo, Antonio Chiappini, Emilio Fiori, Francesca Battaglia, Simone Romei, Vincenzo Avenanti, Alessio |
author_facet | Turrini, Sonia Bevacqua, Naomi Cataneo, Antonio Chiappini, Emilio Fiori, Francesca Battaglia, Simone Romei, Vincenzo Avenanti, Alessio |
author_sort | Turrini, Sonia |
collection | PubMed |
description | Aging is commonly associated with a decline in motor control and neural plasticity. Tuning cortico–cortical interactions between premotor and motor areas is essential for controlling fine manual movements. However, whether plasticity in premotor–motor circuits predicts hand motor abilities in young and elderly humans remains unclear. Here, we administered transcranial magnetic stimulation (TMS) over the ventral premotor cortex (PMv) and primary motor cortex (M1) using the cortico–cortical paired-associative stimulation (ccPAS) protocol to manipulate the strength of PMv-to-M1 connectivity in 14 young and 14 elderly healthy adults. We assessed changes in motor-evoked potentials (MEPs) during ccPAS as an index of PMv-M1 network plasticity. We tested whether the magnitude of MEP changes might predict interindividual differences in performance in two motor tasks that rely on premotor-motor circuits, i.e., the nine-hole pegboard test and a choice reaction task. Results show lower motor performance and decreased PMv-M1 network plasticity in elderly adults. Critically, the slope of MEP changes during ccPAS accurately predicted performance at the two tasks across age groups, with larger slopes (i.e., MEP increase) predicting better motor performance at baseline in both young and elderly participants. These findings suggest that physiological indices of PMv-M1 plasticity could provide a neurophysiological marker of fine motor control across age-groups. |
format | Online Article Text |
id | pubmed-10216324 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-102163242023-05-27 Neurophysiological Markers of Premotor–Motor Network Plasticity Predict Motor Performance in Young and Older Adults Turrini, Sonia Bevacqua, Naomi Cataneo, Antonio Chiappini, Emilio Fiori, Francesca Battaglia, Simone Romei, Vincenzo Avenanti, Alessio Biomedicines Article Aging is commonly associated with a decline in motor control and neural plasticity. Tuning cortico–cortical interactions between premotor and motor areas is essential for controlling fine manual movements. However, whether plasticity in premotor–motor circuits predicts hand motor abilities in young and elderly humans remains unclear. Here, we administered transcranial magnetic stimulation (TMS) over the ventral premotor cortex (PMv) and primary motor cortex (M1) using the cortico–cortical paired-associative stimulation (ccPAS) protocol to manipulate the strength of PMv-to-M1 connectivity in 14 young and 14 elderly healthy adults. We assessed changes in motor-evoked potentials (MEPs) during ccPAS as an index of PMv-M1 network plasticity. We tested whether the magnitude of MEP changes might predict interindividual differences in performance in two motor tasks that rely on premotor-motor circuits, i.e., the nine-hole pegboard test and a choice reaction task. Results show lower motor performance and decreased PMv-M1 network plasticity in elderly adults. Critically, the slope of MEP changes during ccPAS accurately predicted performance at the two tasks across age groups, with larger slopes (i.e., MEP increase) predicting better motor performance at baseline in both young and elderly participants. These findings suggest that physiological indices of PMv-M1 plasticity could provide a neurophysiological marker of fine motor control across age-groups. MDPI 2023-05-17 /pmc/articles/PMC10216324/ /pubmed/37239135 http://dx.doi.org/10.3390/biomedicines11051464 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Turrini, Sonia Bevacqua, Naomi Cataneo, Antonio Chiappini, Emilio Fiori, Francesca Battaglia, Simone Romei, Vincenzo Avenanti, Alessio Neurophysiological Markers of Premotor–Motor Network Plasticity Predict Motor Performance in Young and Older Adults |
title | Neurophysiological Markers of Premotor–Motor Network Plasticity Predict Motor Performance in Young and Older Adults |
title_full | Neurophysiological Markers of Premotor–Motor Network Plasticity Predict Motor Performance in Young and Older Adults |
title_fullStr | Neurophysiological Markers of Premotor–Motor Network Plasticity Predict Motor Performance in Young and Older Adults |
title_full_unstemmed | Neurophysiological Markers of Premotor–Motor Network Plasticity Predict Motor Performance in Young and Older Adults |
title_short | Neurophysiological Markers of Premotor–Motor Network Plasticity Predict Motor Performance in Young and Older Adults |
title_sort | neurophysiological markers of premotor–motor network plasticity predict motor performance in young and older adults |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10216324/ https://www.ncbi.nlm.nih.gov/pubmed/37239135 http://dx.doi.org/10.3390/biomedicines11051464 |
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