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The brain-structural correlates of mathematical expertise

Studies in several domains of expertise have established that experience-dependent plasticity brings about both functional and anatomical changes. However, little is known about how such changes come to shape the brain in the case of expertise acquired by professional mathematicians. Here, we aimed...

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Autores principales: Popescu, Tudor, Sader, Elie, Schaer, Marie, Thomas, Adam, Terhune, Devin B., Dowker, Ann, Mars, Rogier B., Cohen Kadosh, Roi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Masson 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6996130/
https://www.ncbi.nlm.nih.gov/pubmed/30424836
http://dx.doi.org/10.1016/j.cortex.2018.10.009
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author Popescu, Tudor
Sader, Elie
Schaer, Marie
Thomas, Adam
Terhune, Devin B.
Dowker, Ann
Mars, Rogier B.
Cohen Kadosh, Roi
author_facet Popescu, Tudor
Sader, Elie
Schaer, Marie
Thomas, Adam
Terhune, Devin B.
Dowker, Ann
Mars, Rogier B.
Cohen Kadosh, Roi
author_sort Popescu, Tudor
collection PubMed
description Studies in several domains of expertise have established that experience-dependent plasticity brings about both functional and anatomical changes. However, little is known about how such changes come to shape the brain in the case of expertise acquired by professional mathematicians. Here, we aimed to identify cognitive and brain-structural (grey and white matter) characteristics of mathematicians as compared to non-mathematicians. Mathematicians and non-mathematician academics from the University of Oxford underwent structural and diffusion MRI scans, and were tested on a cognitive battery assessing working memory, attention, IQ, numerical and social skills. At the behavioural level, mathematical expertise was associated with better performance in domain-general and domain-specific dimensions. At the grey matter level, in a whole-brain analysis, behavioural performance correlated with grey matter density in left superior frontal gyrus – positively for mathematicians but negatively for non-mathematicians; in a region of interest analysis, we found in mathematicians higher grey matter density in the right superior parietal lobule, but lower grey matter density in the right intraparietal sulcus and in the left inferior frontal gyrus. In terms of white matter, there were no significant group differences in fractional anisotropy or mean diffusivity. These results reveal new insights into the relationship between mathematical expertise and grey matter metrics in brain regions previously implicated in numerical cognition, as well as in regions that have so far received less attention in this field. Further studies, based on longitudinal designs and cognitive training, could examine the conjecture that such cross-sectional findings arise from a bidirectional link between experience and structural brain changes that is itself subject to change across the lifespan.
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spelling pubmed-69961302020-02-05 The brain-structural correlates of mathematical expertise Popescu, Tudor Sader, Elie Schaer, Marie Thomas, Adam Terhune, Devin B. Dowker, Ann Mars, Rogier B. Cohen Kadosh, Roi Cortex Article Studies in several domains of expertise have established that experience-dependent plasticity brings about both functional and anatomical changes. However, little is known about how such changes come to shape the brain in the case of expertise acquired by professional mathematicians. Here, we aimed to identify cognitive and brain-structural (grey and white matter) characteristics of mathematicians as compared to non-mathematicians. Mathematicians and non-mathematician academics from the University of Oxford underwent structural and diffusion MRI scans, and were tested on a cognitive battery assessing working memory, attention, IQ, numerical and social skills. At the behavioural level, mathematical expertise was associated with better performance in domain-general and domain-specific dimensions. At the grey matter level, in a whole-brain analysis, behavioural performance correlated with grey matter density in left superior frontal gyrus – positively for mathematicians but negatively for non-mathematicians; in a region of interest analysis, we found in mathematicians higher grey matter density in the right superior parietal lobule, but lower grey matter density in the right intraparietal sulcus and in the left inferior frontal gyrus. In terms of white matter, there were no significant group differences in fractional anisotropy or mean diffusivity. These results reveal new insights into the relationship between mathematical expertise and grey matter metrics in brain regions previously implicated in numerical cognition, as well as in regions that have so far received less attention in this field. Further studies, based on longitudinal designs and cognitive training, could examine the conjecture that such cross-sectional findings arise from a bidirectional link between experience and structural brain changes that is itself subject to change across the lifespan. Masson 2019-05 /pmc/articles/PMC6996130/ /pubmed/30424836 http://dx.doi.org/10.1016/j.cortex.2018.10.009 Text en © 2019 The Authors http://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
Popescu, Tudor
Sader, Elie
Schaer, Marie
Thomas, Adam
Terhune, Devin B.
Dowker, Ann
Mars, Rogier B.
Cohen Kadosh, Roi
The brain-structural correlates of mathematical expertise
title The brain-structural correlates of mathematical expertise
title_full The brain-structural correlates of mathematical expertise
title_fullStr The brain-structural correlates of mathematical expertise
title_full_unstemmed The brain-structural correlates of mathematical expertise
title_short The brain-structural correlates of mathematical expertise
title_sort brain-structural correlates of mathematical expertise
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6996130/
https://www.ncbi.nlm.nih.gov/pubmed/30424836
http://dx.doi.org/10.1016/j.cortex.2018.10.009
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