Jones Brett D M, Zhukovsky Peter, Hawco Colin, Ortiz Abigail, Cipriani Andrea, Voineskos Aristotle N, Mulsant Benoit H, Husain Muhammad Ishrat
Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Canada; and Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Canada.
Department of Psychiatry, University of Oxford, UK; Oxford Health NHS Foundation Trust, Warneford Hospital, Oxford, UK; and Oxford Precision Psychiatry Laboratory, NIHR Oxford Health Biomedical Research Centre, UK.
BJPsych Open. 2023 Oct 9;9(6):e178. doi: 10.1192/bjo.2023.569.
Studies about brain structure in bipolar disorder have reported conflicting findings. These findings may be explained by the high degree of heterogeneity within bipolar disorder, especially if structural differences are mapped to single brain regions rather than networks.
We aim to complete a systematic review and meta-analysis to identify brain networks underlying structural abnormalities observed on T1-weighted magnetic resonance imaging scans in bipolar disorder across the lifespan. We also aim to explore how these brain networks are affected by sociodemographic and clinical heterogeneity in bipolar disorder.
We will include case-control studies that focus on whole-brain analyses of structural differences between participants of any age with a standardised diagnosis of bipolar disorder and controls. The electronic databases Medline, PsycINFO and Web of Science will be searched. We will complete an activation likelihood estimation analysis and a novel coordinate-based network mapping approach to identify specific brain regions and brain circuits affected in bipolar disorder or relevant subgroups. Meta-regressions will examine the effect of sociodemographic and clinical variables on identified brain circuits.
Findings from this systematic review and meta-analysis will enhance understanding of the pathophysiology of bipolar disorder. The results will identify brain circuitry implicated in bipolar disorder, and how they may relate to relevant sociodemographic and clinical variables across the lifespan.
关于双相情感障碍脑结构的研究报告结果相互矛盾。这些结果可能是由于双相情感障碍内部高度的异质性所致，尤其是当结构差异映射到单个脑区而非网络时。
我们旨在完成一项系统综述和荟萃分析，以确定在双相情感障碍患者全生命周期的T1加权磁共振成像扫描中观察到的结构异常所对应的脑网络。我们还旨在探讨这些脑网络如何受到双相情感障碍社会人口统计学和临床异质性的影响。
我们将纳入病例对照研究，这些研究聚焦于对任何年龄、经标准化诊断为双相情感障碍的参与者与对照组之间结构差异的全脑分析。将检索电子数据库Medline、PsycINFO和科学网。我们将完成激活可能性估计分析和一种基于坐标的新型网络映射方法，以识别双相情感障碍或相关亚组中受影响的特定脑区和脑回路。荟萃回归将检验社会人口统计学和临床变量对已识别脑回路的影响。
这项系统综述和荟萃分析的结果将增进对双相情感障碍病理生理学的理解。结果将确定与双相情感障碍相关的脑回路，以及它们在全生命周期中如何与相关社会人口统计学和临床变量相关联。
