Altered brain network topology related to working memory in internet addiction.
Adolescent
Adult
Brain Mapping
Cerebral Cortex
/ physiopathology
Cortical Synchronization
/ physiology
Electroencephalography
/ methods
Female
Frontal Lobe
/ physiopathology
Humans
Internet Addiction Disorder
/ physiopathology
Limbic Lobe
/ physiopathology
Male
Memory, Short-Term
/ physiology
Nerve Net
/ physiopathology
Young Adult
2-back
eLORETA
graph theory
internet addiction
working memory
Journal
Journal of behavioral addictions
ISSN: 2063-5303
Titre abrégé: J Behav Addict
Pays: Hungary
ID NLM: 101602037
Informations de publication
Date de publication:
Jun 2020
Jun 2020
Historique:
received:
26
09
2019
revised:
28
03
2020
accepted:
15
04
2020
pubmed:
10
7
2020
medline:
3
6
2021
entrez:
10
7
2020
Statut:
epublish
Résumé
The working memory (WM) ability of internet addicts and the topology underlying the WM processing in internet addiction (IA) are poorly understood. In this study, we employed a graph theoretical framework to characterize the topological properties of the IA brain network in the source cortical space during WM task. A sample of 24 subjects with IA and 23 matched healthy controls (HCs) performed visual 2-back task. Exact Low Resolution Electromagnetic Tomography was adopted to project the pre-processed EEG signals into source space. Subsequently, Lagged phase synchronization was calculated between all pairs of Brodmann areas, the graph theoretical approaches were then employed to estimate the brain topological properties of all participants during the WM task. We found better WM behavioral performance in IA subjects compared with the HCs. Moreover, compared to the HC group, more integrated and hierarchical brain network was revealed in the IA subjects in alpha band. And altered regional centrality was mainly resided in frontal and limbic lobes. In addition, significant relationships between the IA severity and the significant altered graph indices were found. In conclusion, these findings provide evidence to support the notion that altered topological configuration may underline changed WM function observed in IA.
Sections du résumé
BACKGROUND AND AIMS
OBJECTIVE
The working memory (WM) ability of internet addicts and the topology underlying the WM processing in internet addiction (IA) are poorly understood. In this study, we employed a graph theoretical framework to characterize the topological properties of the IA brain network in the source cortical space during WM task.
METHODS
METHODS
A sample of 24 subjects with IA and 23 matched healthy controls (HCs) performed visual 2-back task. Exact Low Resolution Electromagnetic Tomography was adopted to project the pre-processed EEG signals into source space. Subsequently, Lagged phase synchronization was calculated between all pairs of Brodmann areas, the graph theoretical approaches were then employed to estimate the brain topological properties of all participants during the WM task.
RESULTS
RESULTS
We found better WM behavioral performance in IA subjects compared with the HCs. Moreover, compared to the HC group, more integrated and hierarchical brain network was revealed in the IA subjects in alpha band. And altered regional centrality was mainly resided in frontal and limbic lobes. In addition, significant relationships between the IA severity and the significant altered graph indices were found.
CONCLUSIONS
CONCLUSIONS
In conclusion, these findings provide evidence to support the notion that altered topological configuration may underline changed WM function observed in IA.
Identifiants
pubmed: 32644933
doi: 10.1556/2006.2020.00020
pmc: PMC8939409
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
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