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Gray matter volume is associated with rate of subsequent skill learning after a long term training intervention
The ability to predict learning performance from brain imaging data has implications for selecting individuals for training or rehabilitation interventions. Here, we used structural MRI to test whether baseline variations in gray matter (GM) volume correlated with subsequent performance after a long...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Academic Press
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4075341/ https://www.ncbi.nlm.nih.gov/pubmed/24680712 http://dx.doi.org/10.1016/j.neuroimage.2014.03.056 |
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author | Sampaio-Baptista, Cassandra Scholz, Jan Jenkinson, Mark Thomas, Adam G. Filippini, Nicola Smit, Gabrielle Douaud, Gwenaëlle Johansen-Berg, Heidi |
author_facet | Sampaio-Baptista, Cassandra Scholz, Jan Jenkinson, Mark Thomas, Adam G. Filippini, Nicola Smit, Gabrielle Douaud, Gwenaëlle Johansen-Berg, Heidi |
author_sort | Sampaio-Baptista, Cassandra |
collection | PubMed |
description | The ability to predict learning performance from brain imaging data has implications for selecting individuals for training or rehabilitation interventions. Here, we used structural MRI to test whether baseline variations in gray matter (GM) volume correlated with subsequent performance after a long-term training of a complex whole-body task. 44 naïve participants were scanned before undertaking daily juggling practice for 6 weeks, following either a high intensity or a low intensity training regime. To assess performance across the training period participants' practice sessions were filmed. Greater GM volume in medial occipito-parietal areas at baseline correlated with steeper learning slopes. We also tested whether practice time or performance outcomes modulated the degree of structural brain change detected between the baseline scan and additional scans performed immediately after training and following a further 4 weeks without training. Participants with better performance had higher increases in GM volume during the period following training (i.e., between scans 2 and 3) in dorsal parietal cortex and M1. When contrasting brain changes between the practice intensity groups, we did not find any straightforward effects of practice time though practice modulated the relationship between performance and GM volume change in dorsolateral prefrontal cortex. These results suggest that practice time and performance modulate the degree of structural brain change evoked by long-term training regimes. |
format | Online Article Text |
id | pubmed-4075341 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Academic Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-40753412014-08-01 Gray matter volume is associated with rate of subsequent skill learning after a long term training intervention Sampaio-Baptista, Cassandra Scholz, Jan Jenkinson, Mark Thomas, Adam G. Filippini, Nicola Smit, Gabrielle Douaud, Gwenaëlle Johansen-Berg, Heidi Neuroimage Article The ability to predict learning performance from brain imaging data has implications for selecting individuals for training or rehabilitation interventions. Here, we used structural MRI to test whether baseline variations in gray matter (GM) volume correlated with subsequent performance after a long-term training of a complex whole-body task. 44 naïve participants were scanned before undertaking daily juggling practice for 6 weeks, following either a high intensity or a low intensity training regime. To assess performance across the training period participants' practice sessions were filmed. Greater GM volume in medial occipito-parietal areas at baseline correlated with steeper learning slopes. We also tested whether practice time or performance outcomes modulated the degree of structural brain change detected between the baseline scan and additional scans performed immediately after training and following a further 4 weeks without training. Participants with better performance had higher increases in GM volume during the period following training (i.e., between scans 2 and 3) in dorsal parietal cortex and M1. When contrasting brain changes between the practice intensity groups, we did not find any straightforward effects of practice time though practice modulated the relationship between performance and GM volume change in dorsolateral prefrontal cortex. These results suggest that practice time and performance modulate the degree of structural brain change evoked by long-term training regimes. Academic Press 2014-08-01 /pmc/articles/PMC4075341/ /pubmed/24680712 http://dx.doi.org/10.1016/j.neuroimage.2014.03.056 Text en © 2014 The Authors. Published by Elsevier Inc. https://creativecommons.org/licenses/by/3.0/This work is licensed under a Creative Commons Attribution 3.0 Unported License (https://creativecommons.org/licenses/by/3.0/) . |
spellingShingle | Article Sampaio-Baptista, Cassandra Scholz, Jan Jenkinson, Mark Thomas, Adam G. Filippini, Nicola Smit, Gabrielle Douaud, Gwenaëlle Johansen-Berg, Heidi Gray matter volume is associated with rate of subsequent skill learning after a long term training intervention |
title | Gray matter volume is associated with rate of subsequent skill learning after a long term training intervention |
title_full | Gray matter volume is associated with rate of subsequent skill learning after a long term training intervention |
title_fullStr | Gray matter volume is associated with rate of subsequent skill learning after a long term training intervention |
title_full_unstemmed | Gray matter volume is associated with rate of subsequent skill learning after a long term training intervention |
title_short | Gray matter volume is associated with rate of subsequent skill learning after a long term training intervention |
title_sort | gray matter volume is associated with rate of subsequent skill learning after a long term training intervention |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4075341/ https://www.ncbi.nlm.nih.gov/pubmed/24680712 http://dx.doi.org/10.1016/j.neuroimage.2014.03.056 |
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