Independent component analysis for internet gaming disorder
Mestre-Bach, Gemma (Universidad Internacional de la Rioja. Facultad de Ciencias de la Salud)
Granero, Roser (Universitat Autònoma de Barcelona. Departament de Psicobiologia i de Metodologia de Ciències de la Salut)
Fernández-Aranda, Fernando (Universitat de Barcelona. Departament de Ciències Clíniques)
Jiménez-Murcia, Susana (Universitat de Barcelona. Departament de Ciències Clíniques)
Potenza, Marc N. (Yale University School of Medicine. Department of Psychiatry)

Date:	2023
Abstract:	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.
Rights:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.
Language:	Anglès
Document:	Article ; recerca ; Versió publicada
Subject:	Internet gaming disorder ; Independent component analysis ; Fmri ; Default-mode network ; Executive-control network ; Salience network
Published in:	Dialogues in clinical neuroscience, Vol. 25 (february 2023) , p. 14-23, ISSN 1958-5969

DOI: 10.1080/19585969.2023.2168135
PMID: 36817972

10 p, 1.4 MB

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