Disrupted local beta band networks in schizophrenia revealed through graph analysis: A magnetoencephalography study.
beta band
graph theory
magnetoencephalography
resting-state network
schizophrenia
Journal
Psychiatry and clinical neurosciences
ISSN: 1440-1819
Titre abrégé: Psychiatry Clin Neurosci
Pays: Australia
ID NLM: 9513551
Informations de publication
Date de publication:
Jul 2022
Jul 2022
Historique:
revised:
14
03
2022
received:
12
10
2021
accepted:
25
03
2022
pubmed:
10
4
2022
medline:
7
7
2022
entrez:
9
4
2022
Statut:
ppublish
Résumé
Schizophrenia (SZ) is characterized by psychotic symptoms and cognitive impairment, and is hypothesized to be a 'dysconnection' syndrome due to abnormal neural network formation. Although numerous studies have helped elucidate the pathophysiology of SZ, many aspects of the mechanism underlying psychotic symptoms remain unknown. This study used graph theory analysis to evaluate the characteristics of the resting-state network (RSN) in terms of microscale and macroscale indices, and to identify candidates as potential biomarkers of SZ. Specifically, we discriminated topological characteristics in the frequency domain and investigated them in the context of psychotic symptoms in patients with SZ. We performed graph theory analysis of electrophysiological RSN data using magnetoencephalography to compare topological characteristics represented by microscale (degree centrality and clustering coefficient) and macroscale (global efficiency, local efficiency, and small-worldness) indices in 29 patients with SZ and 38 healthy controls. In addition, we investigated the aberrant topological characteristics of the RSN in patients with SZ and their relationship with SZ symptoms. SZ was associated with a decreased clustering coefficient, local efficiency, and small-worldness, especially in the high beta band. In addition, macroscale changes in the low beta band are closely associated with negative symptoms. The local networks of patients with SZ may disintegrate at both the microscale and macroscale levels, mainly in the beta band. Adopting an electrophysiological perspective of SZ as a failure to form local networks in the beta band will provide deeper insights into the pathophysiology of SZ as a 'dysconnection' syndrome.
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
309-320Subventions
Organisme : Grant-in-Aid for Scientific Research (C)
ID : 19K08038
Organisme : Grant-in-Aid for Scientific Research on Innovative Areas
ID : 16H06397
Organisme : Grant-in-Aid for Young Scientists (B)
ID : 16K19748
Informations de copyright
© 2022 The Authors. Psychiatry and Clinical Neurosciences © 2022 Japanese Society of Psychiatry and Neurology.
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