Specific Substantial Dysconnectivity in Schizophrenia: A Transdiagnostic Multimodal Meta-analysis of Resting-State Functional and Structural Magnetic Resonance Imaging Studies
Specific Substantial Dysconnectivity in Schizophrenia: A Transdiagnostic Multimodal Meta-analysis of Resting-State Functional and Structural Magnetic Resonance Imaging Studies
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DOI：
10.1016/j.biopsych.2018.12.003
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发表时间：
2019-04-01
影响因子：
10.6
通讯作者：
Sorg, Christian
中科院分区：
文献类型：
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作者：
Brandl, Felix;Avram, Mihai;Sorg, Christian
背景：本研究调查了精神分裂症的特征性大范围脑变化。大量的影像学研究已经证实了精神分裂症患者的大脑变化，特别是通过静息状态功能性磁共振成像测量正在进行的大脑活动的异常内在功能连通性（iFC），以及通过结构磁共振成像测量分布脑区域的异常灰质体积（GMV）。然而，目前尚不清楚与其他疾病相比，哪些iFC变化是精神分裂症特有的，以及这种特异性iFC变化是否与GMV变化趋同。为了解决精神分裂症中特定的实质性连接障碍的问题，我们对精神分裂症和其他精神疾病的静息状态功能和结构磁共振成像研究进行了一项跨诊断的多模态荟萃分析。方法：检索截至2017年6月的多个数据库，检索精神分裂症、重度抑郁症、双相情感障碍、成瘾和焦虑中基于全脑种子的iFC研究和基于体素的形态学研究。进行基于坐标的meta分析，以检测1)精神分裂症特有的内在脑网络的超连通性或低连通性（与其他疾病的超连通性或低连通性单独或合并进行比较）和2)连通性障碍和GMV变化之间的重叠（通过多模态连接分析）。结果：iFC荟萃分析纳入了173篇文献，包括4962名患者和4575名对照受试者；GMV荟萃分析纳入了127篇文献，包括6311名患者和6745名对照受试者。精神分裂症中疾病特异性iFC连通性障碍（与其他疾病比较一致）在边缘、额顶执行、默认模式和显著性网络中被发现。疾病特异性连通性障碍和GMV减少在脑岛、外侧中央后皮层、纹状体和丘脑聚集。结论：结果表明，精神分裂症患者在脑岛、外侧中央后皮层、纹状体和丘脑中存在特异性的实质性连接障碍。数据表明，这些区域是精神分裂症的特征性靶点。
BACKGROUND: This study investigated characteristic large-scale brain changes in schizophrenia. Numerous imaging studies have demonstrated brain changes in schizophrenia, particularly aberrant intrinsic functional connectivity (iFC) of ongoing brain activity, measured by resting-state functional magnetic resonance imaging, and aberrant gray matter volume (GMV) of distributed brain regions, measured by structural magnetic resonance imaging. It is unclear, however, which iFC changes are specific to schizophrenia compared with those of other disorders and whether such specific iFC changes converge with GMV changes. To address this question of specific substantial dysconnectivity in schizophrenia, we performed a transdiagnostic multimodal meta-analysis of resting-state functional and structural magnetic resonance imaging studies in schizophrenia and other psychiatric disorders.Methods: Multiple databases were searched up to June 2017 for whole-brain seed-based iFC studies and voxel-based morphometry studies in schizophrenia, major depressive disorder, bipolar disorder, addiction, and anxiety. Coordinate-based meta-analyses were performed to detect 1) schizophrenia-specific hyperconnectivity or hypoconnectivity of intrinsic brain networks (compared with hyperconnectivity or hypoconnectivity of each other disorder both separately and combined across comparisons) and 2) the overlap between dysconnectivity and GMV changes (via multimodal conjunction analysis).Results: For iFC meta-analysis, 173 publications comprising 4962 patients and 4575 control subjects were included, and for GMV meta-analysis, 127 publications comprising 6311 patients and 6745 control subjects were included. Disorder-specific iFC dysconnectivity in schizophrenia (consistent across comparisons with other disorders) was found for limbic, frontoparietal executive, default mode, and salience networks. Disorder-specific dysconnectivity and GMV reductions converged in insula, lateral postcentral cortex, striatum, and thalamus.Conclusions: Results demonstrated specific substantial dysconnectivity in schizophrenia in insula, lateral postcentral cortex, striatum, and thalamus. Data suggest that these regions are characteristic targets of schizophrenia.