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Independent component analysis for internet gaming disorder

Introduction: There is a growing interest in the study of the neurobiological correlates of internet gaming disorder (IGD), and new techniques are beginning to be implemented for this purpose, such as independent component analysis (ICA). Aims: The present narrative review aimed to explore the studi...

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Autores principales: Mestre-Bach, Gemma, Granero, Roser, Fernández-Aranda, Fernando, Jiménez-Murcia, Susana, Potenza, Marc N.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9930851/
https://www.ncbi.nlm.nih.gov/pubmed/36817972
http://dx.doi.org/10.1080/19585969.2023.2168135
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author Mestre-Bach, Gemma
Granero, Roser
Fernández-Aranda, Fernando
Jiménez-Murcia, Susana
Potenza, Marc N.
author_facet Mestre-Bach, Gemma
Granero, Roser
Fernández-Aranda, Fernando
Jiménez-Murcia, Susana
Potenza, Marc N.
author_sort Mestre-Bach, Gemma
collection PubMed
description Introduction: There is a growing interest in the study of the neurobiological correlates of internet gaming disorder (IGD), and new techniques are beginning to be implemented for this purpose, such as independent component analysis (ICA). Aims: The present narrative review aimed to explore the studies that had used ICA for the study of the different brain networks possibly associated with IGD. Methods: We specifically focussed on three of the main networks: default-mode network, executive-control and salience networks. Results: Most studies have identified alterations in these three brain networks in individuals with IGD, which may be involved in the development and maintenance of this disorder. Conclusion: More studies are needed to deepen an understanding of the specific role of each in the symptomatology and treatment of IGD.
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spelling pubmed-99308512023-02-16 Independent component analysis for internet gaming disorder Mestre-Bach, Gemma Granero, Roser Fernández-Aranda, Fernando Jiménez-Murcia, Susana Potenza, Marc N. Dialogues Clin Neurosci Review Introduction: There is a growing interest in the study of the neurobiological correlates of internet gaming disorder (IGD), and new techniques are beginning to be implemented for this purpose, such as independent component analysis (ICA). Aims: The present narrative review aimed to explore the studies that had used ICA for the study of the different brain networks possibly associated with IGD. Methods: We specifically focussed on three of the main networks: default-mode network, executive-control and salience networks. Results: Most studies have identified alterations in these three brain networks in individuals with IGD, which may be involved in the development and maintenance of this disorder. Conclusion: More studies are needed to deepen an understanding of the specific role of each in the symptomatology and treatment of IGD. Taylor & Francis 2023-02-07 /pmc/articles/PMC9930851/ /pubmed/36817972 http://dx.doi.org/10.1080/19585969.2023.2168135 Text en © 2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Review
Mestre-Bach, Gemma
Granero, Roser
Fernández-Aranda, Fernando
Jiménez-Murcia, Susana
Potenza, Marc N.
Independent component analysis for internet gaming disorder
title Independent component analysis for internet gaming disorder
title_full Independent component analysis for internet gaming disorder
title_fullStr Independent component analysis for internet gaming disorder
title_full_unstemmed Independent component analysis for internet gaming disorder
title_short Independent component analysis for internet gaming disorder
title_sort independent component analysis for internet gaming disorder
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9930851/
https://www.ncbi.nlm.nih.gov/pubmed/36817972
http://dx.doi.org/10.1080/19585969.2023.2168135
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