Meta-Analysis of Gray Matter Anomalies in Schizophrenia: Application of Anatomic Likelihood Estimation and Network Analysis

Meta-Analysis of Gray Matter Anomalies in Schizophrenia: Application of Anatomic Likelihood Estimation and Network Analysis
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DOI:
10.1016/j.biopsych.2008.03.031
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发表时间:
2008-11-01
影响因子:
10.6
通讯作者:
Fox, Peter T.
Fox, Peter T.
中科院分区:
医学1区
文献类型:
--
作者:
Glahn, David C.;Laird, Angela R.;Fox, Peter T.

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背景:虽然结构神经成像方法已被广泛用于研究精神分裂症的脑形态学,但综合这些文献一直很困难。随着基于体素的形态测量(VBM)方法的日益普及,在标准化坐标中报告组差异,可以应用最初为功能神经成像设计的强大的元分析技术。在这项研究中,我们进行了一项基于坐标的体素元分析,以更好地概念化精神分裂症的神经解剖学相关性。方法:meta分析纳入31篇同行评议文章,共1195名精神分裂症患者与1262名健康志愿者进行对比。每一篇文章的坐标被用来创建一个统计图,估计各组灰质密度在每个脑体素上差异的可能性。这些结果随后被纳入网络分析。结果:与对照组相比,患者在包括双侧岛皮质、前扣带、左侧海马旁回、左侧额叶中回、中央后回和丘脑在内的分布式区域网络中的灰质密度降低。网络分析将这些区域分为四个不同的网络,这些网络可能代表不同的病理过程。患者纹状体区域灰质密度增加。结论:这项研究通过阐明一系列被精神分裂症破坏的大脑网络,扩展了先前对精神分裂症神经解剖学的荟萃分析。由于这些网络可能受到独立病因的影响,这项工作应该培养更详细的疾病神经模型,并重点研究旨在发现精神分裂症中灰质减少的机制。
Background: Although structural neuroimaging methods have been widely used to study brain morphology in schizophrenia, synthesizing this literature has been difficult. With the increasing popularity of voxel-based morphometric (VBM) methods in which group differences are reported in standardized coordinates, it is possible to apply powerful meta-analytic techniques initially designed for functional neuroimaging. In this study, we performed a voxelwise, coordinate-based meta-analysis to better conceptualize the neuroanatomic correlates of schizophrenia.Methods: Thirty-one peer-reviewed articles, with a total of 1195 patients with schizophrenia contrasted with 1262 healthy volunteers, were included in the meta-analysis. Coordinates from each article were used to create a statistical map that estimated the likelihood of between-group gray matter density differences at every brain voxel. These results were subsequently entered into a network analysis.Results: Patients had reduced gray matter density relative to control subjects in a distributed network of regions, including bilateral insular cortex, anterior cingulate, left parahippocampal gyrus, left middle frontal gyrus, postcentral gyrus, and thalamus. Network analysis grouped these regions into four distinct networks that potentially represent different pathologic processes. Patients had increased gray matter density in striatal regions.Conclusions: This study expands on previous meta-analyses of the neuroanatomy of schizophrenia by elucidating a series of brain networks disrupted by the illness. Because it is possible that these networks are influenced by independent etiologic factors, this work should foster more detailed neural models of the illness and focus research designed to discover the mechanisms of gray matter reduction in schizophrenia.