Network Analysis of Symptom Comorbidity in Schizophrenia: Relationship to Illness Course and Brain White Matter Microstructure

Hua Ye; Andrew Zalesky; Jinglei Lv; Samantha M Loi; Suheyla Cetin-Karayumak; Yogesh Rathi; Ye Tian; Christos Pantelis; Maria A Di Biase

Journal article

Network Analysis of Symptom Comorbidity in Schizophrenia: Relationship to Illness Course and Brain White Matter Microstructure

Hua Ye, Andrew Zalesky, Jinglei Lv, Samantha M Loi, Suheyla Cetin-Karayumak, Yogesh Rathi, Ye Tian, Christos Pantelis, Maria A Di Biase

Schizophrenia Bulletin | Oxford University Press (OUP) | Published : 2021

DOI: 10.1093/schbul/sbab015

Abstract

INTRODUCTION: Recent network-based analyses suggest that schizophrenia symptoms are intricately connected and interdependent, such that central symptoms can activate adjacent symptoms and increase global symptom burden. Here, we sought to identify key clinical and neurobiological factors that relate to symptom organization in established schizophrenia. METHODS: A symptom comorbidity network was mapped for a broad constellation of symptoms measured in 642 individuals with a schizophrenia-spectrum disorder. Centrality analyses were used to identify hub symptoms. The extent to which each patient's symptoms formed clusters in the comorbidity network was quantified with cluster analysis and use..

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University of Melbourne Researchers

Andrew Zalesky Author

Samantha Loi Author

Ye Ella Tian Author

Christos Pantelis Author

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Grants

Awarded by National Health and Medical Research Council (NHMRC) Enabling Grant

Awarded by Australian National Health and Medical Research Council (NHMRC) Investigator Grant

Awarded by National Health and Medical Research Council of Australia

Funding Acknowledgements

This study used samples and data from the Australian Schizophrenia Research Bank (ASRB), funded by a National Health and Medical Research Council (NHMRC) Enabling Grant (386500; Carr V, Schall U, Scott R, Jablensky A, Mowry B, Michie P, Catts S, Henskens F, Pantelis C, Loughland C), and the Pratt Foundation, Ramsay Health Care, the Viertel Charitable Foundation, and the Schizophrenia Research Institute, using an infrastructure grant from the NSW Ministry of Health. This study was supported by an Australian National Health and Medical Research Council (NHMRC) Investigator Grant (1175754 to M.A.D.), Senior Research Fellowship (1136649 to A.Z.) Senior Principal Research Fellowship (1105825 to C.