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Magnitude and variability of structural brain abnormalities in neuropsychiatric disease: protocol for a network meta-analysis of MRI studies
BMJ Mental Health ( IF 6.6 ) Pub Date : 2021-08-01 , DOI: 10.1136/ebmental-2020-300229
Robert McCutcheon 1 , Toby Pillinger 2 , George Welby 2 , Luke Vano 2 , Connor Cummings 2 , Xin Guo 2 , Toni Ann Heron 2 , Orestis Efthimiou 3 , Andrea Cipriani 4 , Oliver Howes 2
Affiliation  

Introduction Structural MRI is the most frequently used method to investigate brain volume alterations in neuropsychiatric disease. Previous meta-analyses have typically focused on a single diagnosis, thereby precluding transdiagnostic comparisons. Methods and analysis We will include all structural MRI studies of adults that report brain volumes for participants from at least two of the following diagnostic groups: healthy controls, schizophrenia, schizoaffective disorder, delusional disorder, psychotic depression, clinical high risk for psychosis, schizotypal personality disorder, psychosis unspecified, bipolar disorder, autism spectrum disorder, major depressive disorder, attention deficit hyperactivity disorder, obsessive compulsive disorder, post-traumatic stress disorder, emotionally unstable personality disorder, 22q11 deletion syndrome, generalised anxiety disorder, social anxiety disorder, panic disorder, mixed anxiety and depression. Network meta-analysis will be used to synthesise eligible studies. The primary analysis will examine standardised mean difference in average volume, a secondary analysis will examine differences in variability of volumes. Discussion This network meta-analysis will provide a transdiagnostic integration of structural neuroimaging studies, providing researchers with a valuable summary of a large literature. PROSPERO registration number CRD42020221143. All data relevant to the study are included in the article or uploaded as supplementary information. All data relevant are presented within the manuscript.

中文翻译:


神经精神疾病中大脑结构异常的程度和变异性:MRI 研究网络荟萃分析协议



简介 结构 MRI 是研究神经精神疾病中脑体积变化最常用的方法。以前的荟萃分析通常集中于单一诊断,从而排除了跨诊断比较。方法和分析 我们将纳入所有成年人的结构 MRI 研究,报告来自以下至少两个诊断组的参与者的脑容量:健康对照、精神分裂症、分裂情感性障碍、妄想症、精神病性抑郁症、临床精神病高风险、精神分裂型人格障碍、未明确的精神病、双向情感障碍、自闭症谱系障碍、重度抑郁症、注意缺陷多动障碍、强迫症、创伤后应激障碍、情绪不稳定的人格障碍、22q11缺失综合征、广泛性焦虑症、社交焦虑症、恐慌症,混合焦虑和抑郁。网络荟萃分析将用于综合合格的研究。主要分析将检查平均体积的标准化平均差异,二次分析将检查体积变异性的差异。讨论 该网络荟萃分析将提供结构神经影像研究的跨诊断整合,为研究人员提供大量文献的有价值的总结。 PROSPERO 注册号 CRD42020221143。与研究相关的所有数据都包含在文章中或作为补充信息上传。所有相关数据均在手稿中提供。
更新日期:2021-07-22
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