title: Schizophrenia symptoms and brain network efficiency: A resting-state fMRI study.
abstract: Schizophrenia is a condition marked by a disrupted brain functional network. In schizophrenia, the brain network is characterized by reduced distributed information processing efficiency; however, the correlation between information processing efficiency and the symptomatology of schizophrenia remains unclear. Few studies have examined path length efficiencies in schizophrenia. In this study, we examined small-world network metrics computed from resting state functional magnetic resonance imaging data collected from 49 patients with schizophrenia and 28 healthy people. We calculated brain network efficiency using graph theoretical analysis of the networks of brain areas, as defined by the Automated Anatomical Labeling parcellation scheme, and investigated efficiency correlations by using the 5-factor model of psychopathology, which considers the various domains of schizophrenic symptoms and might also consider discrete pathogenetic processes. The global efficiency of the resting schizophrenic brains was lower than that of the healthy controls, but local efficiency did not differ between the groups. The severity of psychopathology, negative symptoms, and depression and anxiety symptoms were correlated with global efficiency in schizophrenic brains. The severity of psychopathology was correlated with increased network efficiency from short-range connections, but not networks from long-range connections. Our findings indicate that schizophrenic psychopathology is correlated with brain network information processing efficiency.
authors.affiliation: Brain Connectivity Lab., Department of Biomedical Imaging and Radiological Sciences, National Yang-Ming University, No. 155, Section 2, Linong Street, Taipei 112, Taiwan; Department of Psychiatry, Losheng Sanatorium and Hospital, Ministry of Health and Welfare, No. 2, Lane 50, Section 1, Wanshou Rd., Guishan Shiang, Taoyuan County, Taiwan.
authors.forename: Tsung-Wei
authors.initials: TW
authors.lastname: Su
authors.affiliation: Brain Connectivity Lab., Department of Biomedical Imaging and Radiological Sciences, National Yang-Ming University, No. 155, Section 2, Linong Street, Taipei 112, Taiwan.
authors.forename: Tun-Wei
authors.initials: TW
authors.lastname: Hsu
authors.affiliation: Department of Psychiatry, Losheng Sanatorium and Hospital, Ministry of Health and Welfare, No. 2, Lane 50, Section 1, Wanshou Rd., Guishan Shiang, Taoyuan County, Taiwan.
authors.forename: Yi-Ching
authors.initials: YC
authors.lastname: Lin
authors.affiliation: Brain Connectivity Lab., Department of Biomedical Imaging and Radiological Sciences, National Yang-Ming University, No. 155, Section 2, Linong Street, Taipei 112, Taiwan. Electronic address: duckbird7777@yahoo.com.tw.
authors.forename: Ching-Po
authors.initials: CP
authors.lastname: Lin
mesh_terms: D000328:Adult; D001921:Brain / Q000378:metabolism / Q000473:pathology*; D001931:Brain Mapping / Q000379:methods; D003430:Cross-Sectional Studies; D003863:Depression / Q000175:diagnosis / Q000378:metabolism; D005260:Female; D006801:Humans; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008297:Male; D008875:Middle Aged; D009415:Nerve Net / Q000378:metabolism / Q000473:pathology*; D011599:Psychopathology; D012146:Rest / Q000502:physiology; D012559:Schizophrenia / Q000175:diagnosis* / Q000378:metabolism
keywords: Brain efficiency; Positive and Negative Symptom Scale; Psychotic symptom; Resting state fMRI; Small world network