Brain Network Informed Subject Community Detection In Early-Onset Schizophrenia

• DOI: 10.1038/srep05549
• Publication Date: 2014-07-03T09:16:08Z
• Authors: Zhi Yang; Yong Xu; Ting Xu; Colin W. Hoy; Daniel A. Handwerker; Gang Chen; Georg Northoff; Xi-Nian Zuo; Peter A. Bandettini
• Keywords: Male; Brain Mapping; Adolescent; 610; Reproducibility of Results; 600; Article; Temporal Lobe; Frontal Lobe; 3. Good health; 03 medical and health sciences; 0302 clinical medicine; Case-Control Studies; Multivariate Analysis; Humans; Female; Nerve Net; Child; Schizophrenia, Childhood

Early-onset schizophrenia (EOS) offers a unique opportunity to study pathophysiological mechanisms and development of schizophrenia. Using 26 drug-naïve, first-episode EOS patients 25 age- gender-matched control subjects, we examined intrinsic connectivity network (ICN) deficits underlying EOS. Due the emerging inconsistency between behavior-based psychiatric disease classification system brain dysfunctions, applied fully data-driven approach investigate whether subjects can be grouped into highly homogeneous communities according characteristics their ICNs. The resultant subject representative ICNs were then associated with clinical diagnosis multivariate symptom patterns. A default mode ICN was statistically absent in patients. Another frontotemporal further distinguished predominantly negative symptoms. Connectivity patterns this second for positive similar typically developing controls. Our post-hoc functional modeling confirmed that strength circuit significantly modulated by relative severity syndromes This presents novel subtype discovery based on networks proposes complex links