Aberrant Functional Whole-Brain Network Architecture in Patients With Schizophrenia: A Meta-analysis

Kambeitz, Joseph; Kambeitz-Ilankovic, Lana; Cabral, Carlos; Dwyer, Dominic B.; Calhoun, Vince D.; Heuvel, Martijn P. van den; Falkai, Peter ; Koutsouleris, Nikolaos und Malchow, Berend (2016): Aberrant Functional Whole-Brain Network Architecture in Patients With Schizophrenia: A Meta-analysis. In: Schizophrenia Bulletin, Bd. 42: S13-S21

Abstract

Findings from multiple lines of research provide evidence of aberrant functional brain connectivity in schizophrenia. By using graph-analytical measures, recent studies indicate that patients with schizophrenia exhibit changes in the organizational principles of whole-brain networks and that these changes relate to cognitive symptoms. However, there has not been a systematic investigation of functional brain network changes in schizophrenia to test the consistency of these changes across multiple studies. A comprehensive literature search was conducted to identify all available functional graph-analytical studies in patients with schizophrenia. Effect size measures were derived from each study and entered in a random-effects meta-analytical model. All models were tested for effects of potential moderator variables as well as for the presence of publication bias. The results of a total of n = 13 functional neuroimaging studies indicated that brain networks in patients with schizophrenia exhibit significant decreases in measures of local organization (g = -0.56, P = .02) and significant decreases in small-worldness (g = -0.65, P = .01) whereas global short communication paths seemed to be preserved (g = 0.26, P = .32). There was no evidence for a publication bias or moderator effects. The present meta-analysis demonstrates significant changes in whole brain network architecture associated with schizophrenia across studies.

• Dokumententyp: Zeitschriftenartikel
• Fakultät: Medizin
• Themengebiete: 600 Technik, Medizin, angewandte Wissenschaften > 610 Medizin und Gesundheit
• ISSN: 0586-7614
• Sprache: Englisch