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Individual differences in frontoparietal plasticity in humans
Neuroplasticity, defined as the brain’s potential to change in response to its environment, has been extensively studied at the cellular and molecular levels. Work in animal models suggests that stimulation to the ventral tegmental area (VTA) enhances plasticity, and that myelination constrains plas...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9226021/ https://www.ncbi.nlm.nih.gov/pubmed/35739201 http://dx.doi.org/10.1038/s41539-022-00130-1 |
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author | Boroshok, Austin L. Park, Anne T. Fotiadis, Panagiotis Velasquez, Gerardo H. Tooley, Ursula A. Simon, Katrina R. Forde, Jasmine C. P. Delgado Reyes, Lourdes M. Tisdall, M. Dylan Bassett, Dani S. Cooper, Emily A. Mackey, Allyson P. |
author_facet | Boroshok, Austin L. Park, Anne T. Fotiadis, Panagiotis Velasquez, Gerardo H. Tooley, Ursula A. Simon, Katrina R. Forde, Jasmine C. P. Delgado Reyes, Lourdes M. Tisdall, M. Dylan Bassett, Dani S. Cooper, Emily A. Mackey, Allyson P. |
author_sort | Boroshok, Austin L. |
collection | PubMed |
description | Neuroplasticity, defined as the brain’s potential to change in response to its environment, has been extensively studied at the cellular and molecular levels. Work in animal models suggests that stimulation to the ventral tegmental area (VTA) enhances plasticity, and that myelination constrains plasticity. Little is known, however, about whether proxy measures of these properties in the human brain are associated with learning. Here, we investigated the plasticity of the frontoparietal system by asking whether VTA resting-state functional connectivity and myelin map values (T1w/T2w ratios) predicted learning after short-term training on the adaptive n-back (n = 46, ages 18–25). We found that stronger baseline connectivity between VTA and lateral prefrontal cortex predicted greater improvements in accuracy. Lower myelin map values predicted improvements in response times, but not accuracy. Our findings suggest that proxy markers of neural plasticity can predict learning in humans. |
format | Online Article Text |
id | pubmed-9226021 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-92260212022-06-25 Individual differences in frontoparietal plasticity in humans Boroshok, Austin L. Park, Anne T. Fotiadis, Panagiotis Velasquez, Gerardo H. Tooley, Ursula A. Simon, Katrina R. Forde, Jasmine C. P. Delgado Reyes, Lourdes M. Tisdall, M. Dylan Bassett, Dani S. Cooper, Emily A. Mackey, Allyson P. NPJ Sci Learn Article Neuroplasticity, defined as the brain’s potential to change in response to its environment, has been extensively studied at the cellular and molecular levels. Work in animal models suggests that stimulation to the ventral tegmental area (VTA) enhances plasticity, and that myelination constrains plasticity. Little is known, however, about whether proxy measures of these properties in the human brain are associated with learning. Here, we investigated the plasticity of the frontoparietal system by asking whether VTA resting-state functional connectivity and myelin map values (T1w/T2w ratios) predicted learning after short-term training on the adaptive n-back (n = 46, ages 18–25). We found that stronger baseline connectivity between VTA and lateral prefrontal cortex predicted greater improvements in accuracy. Lower myelin map values predicted improvements in response times, but not accuracy. Our findings suggest that proxy markers of neural plasticity can predict learning in humans. Nature Publishing Group UK 2022-06-23 /pmc/articles/PMC9226021/ /pubmed/35739201 http://dx.doi.org/10.1038/s41539-022-00130-1 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Boroshok, Austin L. Park, Anne T. Fotiadis, Panagiotis Velasquez, Gerardo H. Tooley, Ursula A. Simon, Katrina R. Forde, Jasmine C. P. Delgado Reyes, Lourdes M. Tisdall, M. Dylan Bassett, Dani S. Cooper, Emily A. Mackey, Allyson P. Individual differences in frontoparietal plasticity in humans |
title | Individual differences in frontoparietal plasticity in humans |
title_full | Individual differences in frontoparietal plasticity in humans |
title_fullStr | Individual differences in frontoparietal plasticity in humans |
title_full_unstemmed | Individual differences in frontoparietal plasticity in humans |
title_short | Individual differences in frontoparietal plasticity in humans |
title_sort | individual differences in frontoparietal plasticity in humans |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9226021/ https://www.ncbi.nlm.nih.gov/pubmed/35739201 http://dx.doi.org/10.1038/s41539-022-00130-1 |
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