Title |
Structural Network Disorganization in Subjects at Clinical High Risk for Psychosis
|
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Published in |
Schizophrenia Bulletin, August 2016
|
DOI | 10.1093/schbul/sbw110 |
Pubmed ID | |
Authors |
André Schmidt, Nicolas A. Crossley, Fabienne Harrisberger, Renata Smieskova, Claudia Lenz, Anita Riecher-Rössler, Undine E. Lang, Philip McGuire, Paolo Fusar-Poli, Stefan Borgwardt |
Abstract |
Previous network studies in chronic schizophrenia patients revealed impaired structural organization of the brain's rich-club members, a set of highly interconnected hub regions that play an important integrative role for global brain communication. Moreover, impaired rich-club connectivity has also been found in unaffected siblings of schizophrenia patients, suggesting that abnormal rich-club connectivity is related to familiar, possibly reflecting genetic, vulnerability for schizophrenia. However, no study has yet investigated whether structural rich-club organization is also impaired in individuals with a clinical risk syndrome for psychosis. Diffusion tensor imaging and probabilistic tractography was used to construct structural whole-brain networks in 24 healthy controls and 24 subjects with an at-risk mental state (ARMS). Graph theory was applied to quantify the structural rich-club organization and global network properties. ARMS subjects revealed a significantly altered structural rich-club organization compared with the control group. The disruption of rich-club organization was associated with the severity of negative psychotic symptoms and led to an elevated level of modularity in ARMS subjects. This study shows that abnormal structural rich-club organization is already evident in clinical high-risk subjects for psychosis and further demonstrates the impact of rich-club disorganization on global network communication. Together with previous evidence in chronic schizophrenia patients and unaffected siblings, our findings suggest that abnormal structural rich-club organization may reflect an endophenotypic marker of psychosis. |
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Geographical breakdown
Country | Count | As % |
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Spain | 1 | 33% |
Unknown | 2 | 67% |
Demographic breakdown
Type | Count | As % |
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Scientists | 1 | 33% |
Members of the public | 1 | 33% |
Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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United States | 1 | <1% |
Unknown | 100 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 20 | 20% |
Researcher | 18 | 18% |
Student > Master | 13 | 13% |
Student > Doctoral Student | 10 | 10% |
Professor | 5 | 5% |
Other | 17 | 17% |
Unknown | 18 | 18% |
Readers by discipline | Count | As % |
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Neuroscience | 22 | 22% |
Psychology | 20 | 20% |
Medicine and Dentistry | 17 | 17% |
Engineering | 3 | 3% |
Nursing and Health Professions | 2 | 2% |
Other | 5 | 5% |
Unknown | 32 | 32% |