期刊
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
卷 112, 期 29, 页码 9123-9128出版社
NATL ACAD SCIENCES
DOI: 10.1073/pnas.1502052112
关键词
psychosis; dysconnectivity; graph theory; brain network; hubs
资金
- Ministry of Science and Technology, Taiwan [NSC100-2911-I-010-010, NSC101-2911-I-010-009, NSC100-2628-E-010-002-MY3, NSC102-2321-B-010-023, NSC103-2911-I-010-501]
- National Health Research Institutes [NHRI-EX103-10310EI]
- Ministry of Health and Welfare of Taiwan [DOH102-TD-PB-111-NSC006]
- Academia Sinica, Taipei, Taiwan
- MRI Core Laboratory of National Yang-Ming University
- Ministry of Education of Taiwan (Aim for the Top University Plan)
- National Institute for Health Research Cambridge Biomedical Research Centre
- National Institute for Health Research [NF-SI-0513-10051] Funding Source: researchfish
Schizophrenia is increasingly conceived as a disorder of brain network organization or dysconnectivity syndrome. Functional MRI (fMRI) networks in schizophrenia have been characterized by abnormally random topology. We tested the hypothesis that network randomization is an endophenotype of schizophrenia and therefore evident also in nonpsychotic relatives of patients. Head movement-corrected, resting-state fMRI data were acquired from 25 patients with schizophrenia, 25 first-degree relatives of patients, and 29 healthy volunteers. Graphs were used to model functional connectivity as a set of edges between regional nodes. We estimated the topological efficiency, clustering, degree distribution, resilience, and connection distance (in millimeters) of each functional network. The schizophrenic group demonstrated significant randomization of global network metrics (reduced clustering, greater efficiency), a shift in the degree distribution to a more homogeneous form (fewer hubs), a shift in the distance distribution (proportionally more long-distance edges), and greater resilience to targeted attack on network hubs. The networks of the relatives also demonstrated abnormal randomization and resilience compared with healthy volunteers, but they were typically less topologically abnormal than the patients' networks and did not have abnormal connection distances. We conclude that schizophrenia is associated with replicable and convergent evidence for functional network randomization, and a similar topological profile was evident also in nonpsychotic relatives, suggesting that this is a systems-level endophenotype or marker of familial risk. We speculate that the greater resilience of brain networks may confer some fitness advantages on nonpsychotic relatives that could explain persistence of this endophenotype in the population.
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