title: Functional connectivity and brain networks in schizophrenia.
abstract: Schizophrenia has often been conceived as a disorder of connectivity between components of large-scale brain networks. We tested this hypothesis by measuring aspects of both functional connectivity and functional network topology derived from resting-state fMRI time series acquired at 72 cerebral regions over 17 min from 15 healthy volunteers (14 male, 1 female) and 12 people diagnosed with schizophrenia (10 male, 2 female). We investigated between-group differences in strength and diversity of functional connectivity in the 0.06-0.125 Hz frequency interval, and some topological properties of undirected graphs constructed from thresholded interregional correlation matrices. In people with schizophrenia, strength of functional connectivity was significantly decreased, whereas diversity of functional connections was increased. Topologically, functional brain networks had reduced clustering and small-worldness, reduced probability of high-degree hubs, and increased robustness in the schizophrenic group. Reduced degree and clustering were locally significant in medial parietal, premotor and cingulate, and right orbitofrontal cortical nodes of functional networks in schizophrenia. Functional connectivity and topological metrics were correlated with each other and with behavioral performance on a verbal fluency task. We conclude that people with schizophrenia tend to have a less strongly integrated, more diverse profile of brain functional connectivity, associated with a less hub-dominated configuration of complex brain functional networks. Alongside these behaviorally disadvantageous differences, however, brain networks in the schizophrenic group also showed a greater robustness to random attack, pointing to a possible benefit of the schizophrenia connectome, if less extremely expressed.
authors.affiliation: Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge, United Kingdom.
authors.forename: Mary-Ellen
authors.initials: ME
authors.lastname: Lynall
authors.forename: Danielle S
authors.initials: DS
authors.lastname: Bassett
authors.forename: Robert
authors.initials: R
authors.lastname: Kerwin
authors.forename: Peter J
authors.initials: PJ
authors.lastname: McKenna
authors.forename: Manfred
authors.initials: M
authors.lastname: Kitzbichler
authors.forename: Ulrich
authors.initials: U
authors.lastname: Muller
authors.forename: Ed
authors.initials: E
authors.lastname: Bullmore
mesh_terms: D000328:Adult; D001921:Brain / Q000503:physiopathology*; D001931:Brain Mapping; D003071:Cognition / Q000502:physiology; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008279:Magnetic Resonance Imaging; D008297:Male; D008959:Models, Neurological; D009415:Nerve Net / Q000503:physiopathology*; D009434:Neural Pathways / Q000503:physiopathology; D009483:Neuropsychological Tests; D025341:Principal Component Analysis; D012559:Schizophrenia / Q000503:physiopathology*