Neuroanatomical predictors of complex skill acquisition during video game training
It is known that the outcomes of complex video game (VG) skill acquisition are correlated with individual differences in demographic and behavioral variables, such as age, intelligence and visual attention. However, empirical studies of the relationship between neuroanatomical features and success i...
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Format: | Article |
Language: | English |
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Frontiers Media S.A.
2022-07-01
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Series: | Frontiers in Neuroscience |
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Online Access: | https://www.frontiersin.org/articles/10.3389/fnins.2022.834954/full |
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author | Anna Kovbasiuk Anna Kovbasiuk Paulina Lewandowska Paulina Lewandowska Aneta Brzezicka Natalia Kowalczyk-Grębska |
author_facet | Anna Kovbasiuk Anna Kovbasiuk Paulina Lewandowska Paulina Lewandowska Aneta Brzezicka Natalia Kowalczyk-Grębska |
author_sort | Anna Kovbasiuk |
collection | DOAJ |
description | It is known that the outcomes of complex video game (VG) skill acquisition are correlated with individual differences in demographic and behavioral variables, such as age, intelligence and visual attention. However, empirical studies of the relationship between neuroanatomical features and success in VG training have been few and far between. The present review summarizes existing literature on gray matter (GM) and white matter correlates of complex VG skill acquisition as well as explores its relationship with neuroplasticity. In particular, since age can be an important factor in the acquisition of new cognitive skills, we present studies that compare different age groups (young and old adults). Our review reveals that GM in subcortical brain areas predicts complex VG learning outcomes in young subjects, whereas in older subjects the same is true of cortical frontal areas. This may be linked to age-related compensatory mechanisms in the frontal areas, as proposed by The Scaffolding Theory of Aging and Cognition. In the case of plasticity, there is no such relationship – in the group of younger and older adults there are changes after training in both cortical and subcortical areas. We also summarize best practices in research on predictors of VG training performance and outline promising areas of research in the study of complex video game skill acquisition. |
first_indexed | 2024-12-10T09:16:19Z |
format | Article |
id | doaj.art-3b7ccc01bbc54905a70e22648ff49405 |
institution | Directory Open Access Journal |
issn | 1662-453X |
language | English |
last_indexed | 2024-12-10T09:16:19Z |
publishDate | 2022-07-01 |
publisher | Frontiers Media S.A. |
record_format | Article |
series | Frontiers in Neuroscience |
spelling | doaj.art-3b7ccc01bbc54905a70e22648ff494052022-12-22T01:54:52ZengFrontiers Media S.A.Frontiers in Neuroscience1662-453X2022-07-011610.3389/fnins.2022.834954834954Neuroanatomical predictors of complex skill acquisition during video game trainingAnna Kovbasiuk0Anna Kovbasiuk1Paulina Lewandowska2Paulina Lewandowska3Aneta Brzezicka4Natalia Kowalczyk-Grębska5Neurocognitive Research Center, Institute of Psychology, SWPS University of Social Sciences and Humanities, Warsaw, PolandDepartment of Management in Networked and Digital Societies, Kozminski University, Warsaw, PolandNeurocognitive Research Center, Institute of Psychology, SWPS University of Social Sciences and Humanities, Warsaw, PolandInstitute of Psychology, Jagiellonian University, Kraków, PolandNeurocognitive Research Center, Institute of Psychology, SWPS University of Social Sciences and Humanities, Warsaw, PolandNeurocognitive Research Center, Institute of Psychology, SWPS University of Social Sciences and Humanities, Warsaw, PolandIt is known that the outcomes of complex video game (VG) skill acquisition are correlated with individual differences in demographic and behavioral variables, such as age, intelligence and visual attention. However, empirical studies of the relationship between neuroanatomical features and success in VG training have been few and far between. The present review summarizes existing literature on gray matter (GM) and white matter correlates of complex VG skill acquisition as well as explores its relationship with neuroplasticity. In particular, since age can be an important factor in the acquisition of new cognitive skills, we present studies that compare different age groups (young and old adults). Our review reveals that GM in subcortical brain areas predicts complex VG learning outcomes in young subjects, whereas in older subjects the same is true of cortical frontal areas. This may be linked to age-related compensatory mechanisms in the frontal areas, as proposed by The Scaffolding Theory of Aging and Cognition. In the case of plasticity, there is no such relationship – in the group of younger and older adults there are changes after training in both cortical and subcortical areas. We also summarize best practices in research on predictors of VG training performance and outline promising areas of research in the study of complex video game skill acquisition.https://www.frontiersin.org/articles/10.3389/fnins.2022.834954/fullvideo game trainingMRIpredispositionsindividual differencescomplex skill acquisitionperformance enhancement |
spellingShingle | Anna Kovbasiuk Anna Kovbasiuk Paulina Lewandowska Paulina Lewandowska Aneta Brzezicka Natalia Kowalczyk-Grębska Neuroanatomical predictors of complex skill acquisition during video game training Frontiers in Neuroscience video game training MRI predispositions individual differences complex skill acquisition performance enhancement |
title | Neuroanatomical predictors of complex skill acquisition during video game training |
title_full | Neuroanatomical predictors of complex skill acquisition during video game training |
title_fullStr | Neuroanatomical predictors of complex skill acquisition during video game training |
title_full_unstemmed | Neuroanatomical predictors of complex skill acquisition during video game training |
title_short | Neuroanatomical predictors of complex skill acquisition during video game training |
title_sort | neuroanatomical predictors of complex skill acquisition during video game training |
topic | video game training MRI predispositions individual differences complex skill acquisition performance enhancement |
url | https://www.frontiersin.org/articles/10.3389/fnins.2022.834954/full |
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