TY - JOUR
T1 - Independent component analysis for internet gaming disorder
AU - Mestre-Bach, Gemma
AU - Granero, Roser
AU - Fernández-Aranda, Fernando
AU - Jiménez-Murcia, Susana
AU - Potenza, Marc N.
N1 - Funding:
CERCA Programme / Generalitat de Catalunya gave institutional support. This work was additionally supported by two grants from the Delegación del Gobierno para el Plan Nacional sobre Drogas (2019I47 and 2021I031), and Instituto de Salud Carlos III (ISCIII) (P I20/00132) and cofunded by FEDER funds/European Regional Development Fund (ERDF), a way to build Europe. CIBERobn is an initiative of ISCIII. Dr. Gemma Mestre-Bach was supported by a postdoctoral grant of FUNCIVA and by the 2022–2023 Institute for Culture and Society (ICS) challenge on “Youth, relationships and psychological well-being” of the University of Navarra. Roser Granero was supported by The Catalan Institution for Research and Advanced Studies (ICREA-2021 Academia Program). Dr. Marc N. Potenza's involvement was supported by the Connecticut Council on Problem Gambling and by the NIMH (National Institute of Mental Health) grant RF1 MH128614.
PY - 2023/2/7
Y1 - 2023/2/7
N2 - 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.
AB - 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.
KW - fMRI
KW - independent component analysis
KW - Internet gaming disorder
KW - salience network
KW - default-mode network
KW - executive-control network
UR - https://www.mendeley.com/catalogue/38889545-bbff-3407-8bed-5d88c8c0981e/
UR - https://ddd.uab.cat/record/273243
UR - https://www.scopus.com/pages/publications/85148679634
U2 - 10.1080/19585969.2023.2168135
DO - 10.1080/19585969.2023.2168135
M3 - Article
C2 - 36817972
SN - 1294-8322
VL - 25
SP - 14
EP - 23
JO - Dialogues in Clinical Neuroscience
JF - Dialogues in Clinical Neuroscience
IS - 1
ER -
