机构：[1]Institute of Mental Health, The Second Xiangya Hospital of Central South University, 139 Renmin Road, Changsha, Hunan 410011, China[2]Unit on Statistical Genomics, National Institute of Mental Health, NIH, Bethesda 20892, USA[3]Department of Psychiatry, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan Province 650032, China昆明医科大学附属第一医院[4]Department of Psychiatry, The First Affiliated Hospital, China Medical University, Shenyang, Liaoning Province 110001, China[5]State Key Laboratory of Medical Genetics, Central South University, Changsha, Hunan 410078, China[6]Genetic Epidemiology Research Branch, Intramural Research Program, National Institute of Mental Health, Bethesda, MD 20892, USA[7]Mind Research Network, Albuquerque, NM 87131, USA[8]Department of Electrical and Computer Engineering at the University of New Mexico, Albuquerque, NM 87106, USA[9]National Technology of Institute of Psychiatry, Central South University, Changsha, Hunan 410011, China[10]Department of radiology, the first people's hospital of Kunming, Kunming, Yunnan province, China, 650011医技片放射科云南省第一人民医院
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 schizophreniamay 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. (C) 2015 The Authors. Published by Elsevier Inc.
基金：
Natural Science Foundation of ChinaNational Natural Science Foundation of China [30900486, 81371480, 81100996, 81471361, 81271484, 81071099, 81271499]; National Key Basic Research and Development Program (973)National Basic Research Program of China [2012CB517904]; Sheng-Hua Yuying project of Central South University; Sheng-Hua Lieying project of Central South University; program of China Scholarships Council; Intramural Research Program of the National Institute of Mental Health, National Institutes of Health (IRP, NIMH, NIH) [MH002930-03]; [NIBIB2R01EB000840]; [COBRE5P20RR021938/P20GM103472]
第一作者机构：[1]Institute of Mental Health, The Second Xiangya Hospital of Central South University, 139 Renmin Road, Changsha, Hunan 410011, China[3]Department of Psychiatry, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan Province 650032, China
共同第一作者：
通讯作者：
通讯机构：[1]Institute of Mental Health, The Second Xiangya Hospital of Central South University, 139 Renmin Road, Changsha, Hunan 410011, China[2]Unit on Statistical Genomics, National Institute of Mental Health, NIH, Bethesda 20892, USA[5]State Key Laboratory of Medical Genetics, Central South University, Changsha, Hunan 410078, China[9]National Technology of Institute of Psychiatry, Central South University, Changsha, Hunan 410011, China[*1]Institute of Mental Health, The Second Xiangya Hospital of Central South University, Changsha, Hunan 410011, China.[*2]Unit on Statistical Genomics, National Institute of Mental Health, NIH, Bethesda 20852, USA.
推荐引用方式(GB/T 7714)：
Wang Jicai,Cao Hongbao,Liao Yanhui,et al.Three dysconnectivity patterns in treatment-resistant schizophrenia patients and their unaffected siblings[J].NEUROIMAGE-CLINICAL.2015,8:95-103.doi:10.1016/j.nicl.2015.03.017.
APA：
Wang, Jicai,Cao, Hongbao,Liao, Yanhui,Liu, Weiqing,Tan, Liwen...&Chen, Xiaogang.(2015).Three dysconnectivity patterns in treatment-resistant schizophrenia patients and their unaffected siblings.NEUROIMAGE-CLINICAL,8,
MLA：
Wang, Jicai,et al."Three dysconnectivity patterns in treatment-resistant schizophrenia patients and their unaffected siblings".NEUROIMAGE-CLINICAL 8.(2015):95-103
