TY - JOUR
T1 - Three dysconnectivity patterns in treatment-resistant schizophrenia patients and their unaffected siblings
AU - Wang, Jicai
AU - Cao, Hongbao
AU - Liao, Yanhui
AU - Liu, Weiqing
AU - Tan, Liwen
AU - Tang, Yanqing
AU - Chen, Jindong
AU - Xu, Xiufeng
AU - Li, Haijun
AU - Luo, Chunrong
AU - Liu, Chunyu
AU - Ries Merikangas, Kathleen
AU - Calhoun, Vince
AU - Tang, Jinsong
AU - Shugart, Yin Yao
AU - Chen, Xiaogang
N1 - Funding Information:
This work was supported by the Natural Science Foundation of China (grant nos. 30900486 and 81371480 to JT, 81100996 to YL, 81471361 and 81271484 to XC, 81071099 , and 81271499 to YT) and the National Key Basic Research and Development Program (973) (grant no. 2012CB517904 to XC). JT was supported by the Sheng-Hua Yuying project of Central South University; YL was supported by the Sheng-Hua Lieying project of Central South University; Financial support from the program of China Scholarships Council to JT; Drs. Cao and Shugart gratefully acknowledge the support of the Intramural Research Program of the National Institute of Mental Health, National Institutes of Health (IRP, NIMH, NIH) (project number MH002930-03 ). This work was also in part supported by grants NIBIB 2R01EB000840 and COBRE 5P20RR021938 / P20GM103472 (to Dr. Calhoun). The authors have no conflicts of interest to disclose, financial or otherwise.
PY - 2015
Y1 - 2015
N2 - Among individuals diagnosed with schizophrenia, approximately 20%-33% are recognized as treatment-resistant schizophrenia (TRS) patients. These TRS patients suffer more severely from the disease but struggle to benefit from existing antipsychotic treatments. A few recent studies suggested that schizophrenia may be caused by impaired synaptic plasticity that manifests as functional dysconnectivity in the brain, however, few of those studies focused on the functional connectivity changes in the brains of TRS groups. In this study, we compared the whole brain connectivity variations in TRS patients, their unaffected siblings, and healthy controls. Connectivity network features between and within the 116 automated anatomical labeling (AAL) brain regions were calculated and compared using maps created with three contrasts: patient vs. control, patient vs. sibling, and sibling vs. control. To evaluate the predictive power of the selected features, we performed a multivariate classification approach. We also evaluated the influence of six important clinical measures (e.g. age, education level) on the connectivity features. This study identified abnormal significant connectivity changes of three patterns in TRS patients and their unaffected siblings: 1) 69 patient-specific connectivity (PCN); 2) 102 shared connectivity (SCN); and 3) 457 unshared connectivity (UCN). While the first two patterns were widely reported by previous non-TRS specific studies, we were among the first to report widespread significant connectivity differences between TRS patient groups and their healthy sibling groups. Observations of this study may provide new insights for the understanding of the neurophysiological mechanisms of TRS.
AB - Among individuals diagnosed with schizophrenia, approximately 20%-33% are recognized as treatment-resistant schizophrenia (TRS) patients. These TRS patients suffer more severely from the disease but struggle to benefit from existing antipsychotic treatments. A few recent studies suggested that schizophrenia may be caused by impaired synaptic plasticity that manifests as functional dysconnectivity in the brain, however, few of those studies focused on the functional connectivity changes in the brains of TRS groups. In this study, we compared the whole brain connectivity variations in TRS patients, their unaffected siblings, and healthy controls. Connectivity network features between and within the 116 automated anatomical labeling (AAL) brain regions were calculated and compared using maps created with three contrasts: patient vs. control, patient vs. sibling, and sibling vs. control. To evaluate the predictive power of the selected features, we performed a multivariate classification approach. We also evaluated the influence of six important clinical measures (e.g. age, education level) on the connectivity features. This study identified abnormal significant connectivity changes of three patterns in TRS patients and their unaffected siblings: 1) 69 patient-specific connectivity (PCN); 2) 102 shared connectivity (SCN); and 3) 457 unshared connectivity (UCN). While the first two patterns were widely reported by previous non-TRS specific studies, we were among the first to report widespread significant connectivity differences between TRS patient groups and their healthy sibling groups. Observations of this study may provide new insights for the understanding of the neurophysiological mechanisms of TRS.
KW - Brain plasticity
KW - Functional connectivity
KW - Schizophrenia
KW - Sibling controls
KW - TRS
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U2 - 10.1016/j.nicl.2015.03.017
DO - 10.1016/j.nicl.2015.03.017
M3 - Article
C2 - 26106532
AN - SCOPUS:84926686982
SN - 2213-1582
VL - 8
SP - 95
EP - 103
JO - NeuroImage: Clinical
JF - NeuroImage: Clinical
ER -