Three dysconnectivity patterns in treatment-resistant schizophrenia patients and their unaffected siblings.
Three dysconnectivity patterns in treatment-resistant schizophrenia patients and their unaffected siblings.
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难治性精神分裂症患者及其未患病兄弟姐妹的三种连接失调模式
DOI：
10.1016/j.nicl.2015.03.017
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发表时间：
2015
影响因子：
4.2
通讯作者：
Chen, Xiaogang
中科院分区：
文献类型：
--
作者：
Wang, Jicai;Cao, Hongbao;Liao, Yanhui;Liu, Weiqing;Tan, Liwen;Tang, Yanqing;Chen, Jindong;Xu, Xiufeng;Li, Haijun;Luo, Chunrong;Liu, Chunyu;Merikangas, Kathleen Ries;Calhoun, Vince;Tang, Jinsong;Shugart, Yin Yao;Chen, Xiaogang
在被诊断患有精神分裂症的个体中，大约20%-33%被认为是难治性精神分裂症（TRS）患者。这些TRS患者患有更严重的疾病，但努力从现有的抗精神病药物治疗中获益。最近的一些研究表明，精神分裂症可能是由突触可塑性受损引起的，表现为大脑中的功能性连接障碍，然而，这些研究很少关注TRS组大脑中的功能性连接变化。在这项研究中，我们比较了TRS患者，他们未受影响的兄弟姐妹和健康对照组的全脑连接变化。计算116个自动解剖标记（AAL）大脑区域之间和内部的连接网络特征，并使用三种对比创建的地图进行比较：患者与对照组，患者与同胞，同胞与对照组。为了评估所选特征的预测能力，我们进行了多变量分类方法。我们还评估了六个重要的临床措施（如年龄，教育水平）的连接功能的影响。本研究在TRS患者及其未受影响的同胞中确定了三种模式的异常显著连接变化：1）69个患者特异性连接（PCN）; 2）102个共享连接（SCN）;和3）457个非共享连接（UCN）。虽然前两种模式在以前的非TRS特异性研究中被广泛报道，但我们是第一个报道TRS患者组与其健康同胞组之间广泛存在显著连接差异的人。本研究的观察结果可能为理解TRS的神经生理机制提供新的见解。我们首先比较了难治性精神分裂症及其未受影响同胞的整体功能连接。难治性精神分裂症未受影响的同胞中普遍存在的非共享的重要功能连接我们研究了大脑连接与临床测量的关联。
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. We first compared global functional connectivity in treatment-resistant schizophrenia and their unaffected siblings. Widespread unshared significant functional connectivity in unaffected siblings of treatment-resistant schizophrenia We studied the association of brain connectivity to clinical measures.
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影响因子：
--
作者：
Gogtay, Nitin;Hua, Xue;Stidd, Reva;Boyle, Christina P.;Lee, Suh;Weisinger, Brian;Chavez, Alex;Giedd, Jay N.;Clasen, Liv;Toga, Arthur W.;Rapoport, Judith L.;Thompson, Paul M.
通讯作者：
Thompson, Paul M.
DOI：
10.1007/7854_2010_42
发表时间：
2010-01-01
期刊：
BEHAVIORAL NEUROBIOLOGY OF SCHIZOPHRENIA AND ITS TREATMENT
影响因子：
--
作者：
Kalkstein, Solomon;Hurford, Irene;Gur, Ruben C.
通讯作者：
Gur, Ruben C.
DOI：
10.4088/jcp.10r06264yel
发表时间：
2010-09
期刊：
The Journal of clinical psychiatry
影响因子：
--
作者：
Kane JM;Correll CU
通讯作者：
Correll CU
首发未用药精神分裂症静息时因结构性缺陷导致的异常因果连接
影响因子：
6.6
作者：
Guo, Wenbin;Liu, Feng;Zhao, Jingping
通讯作者：
Zhao, Jingping
影响因子：
5.7
作者：
FRISTON, KJ;HOLMES, AP;TURNER, R
通讯作者：
TURNER, R