Global Alterations of Whole Brain Structural Connectome in Parkinson's Disease: A Meta-analysis.

IF 5.4 2区 心理学 Q1 NEUROSCIENCES
Neuropsychology Review Pub Date : 2023-12-01 Epub Date: 2022-09-20 DOI:10.1007/s11065-022-09559-y
Chao Zuo, Xueling Suo, Huan Lan, Nanfang Pan, Song Wang, Graham J Kemp, Qiyong Gong
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Abstract

Recent graph-theoretical studies of Parkinson's disease (PD) have examined alterations in the global properties of the brain structural connectome; however, reported alterations are not consistent. The present study aimed to identify the most robust global metric alterations in PD via a meta-analysis. A comprehensive literature search was conducted for all available diffusion MRI structural connectome studies that compared global graph metrics between PD patients and healthy controls (HC). Hedges' g effect sizes were calculated for each study and then pooled using a random-effects model in Comprehensive Meta-Analysis software, and the effects of potential moderator variables were tested. A total of 22 studies met the inclusion criteria for review. Of these, 16 studies reporting 10 global graph metrics (916 PD patients; 560 HC) were included in the meta-analysis. In the structural connectome of PD patients compared with HC, we found a significant decrease in clustering coefficient (g = -0.357, P = 0.005) and global efficiency (g = -0.359, P < 0.001), and a significant increase in characteristic path length (g = 0.250, P = 0.006). Dopaminergic medication, sex and age of patients were potential moderators of global brain network changes in PD. These findings provide evidence of decreased global segregation and integration of the structural connectome in PD, indicating a shift from a balanced small-world network to 'weaker small-worldization', which may provide useful markers of the pathophysiological mechanisms underlying PD.

Abstract Image

帕金森病全脑结构连接组的整体改变:元分析
最近对帕金森病(PD)进行的图论研究考察了大脑结构连接组全局属性的改变;然而,报告的改变并不一致。本研究旨在通过荟萃分析确定帕金森病中最稳健的全局度量变化。研究人员对所有可用的扩散核磁共振成像结构连接组研究进行了全面的文献检索,这些研究比较了帕金森病患者和健康对照组(HC)的全局图指标。计算出每项研究的Hedges'g效应大小,然后使用Comprehensive Meta-Analysis软件中的随机效应模型进行汇总,并测试潜在调节变量的影响。共有 22 项研究符合纳入审查的标准。其中,16 项报告了 10 项全局图指标的研究(916 例帕金森病患者;560 例高血压患者)被纳入荟萃分析。在帕金森氏症患者的结构连接组中,我们发现帕金森氏症患者的聚类系数(g = -0.357,P = 0.005)和全局效率(g = -0.359,P = 0.005)显著下降。
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来源期刊
Neuropsychology Review
Neuropsychology Review 医学-神经科学
CiteScore
11.00
自引率
1.70%
发文量
36
期刊介绍: Neuropsychology Review is a quarterly, refereed publication devoted to integrative review papers on substantive content areas in neuropsychology, with particular focus on populations with endogenous or acquired conditions affecting brain and function and on translational research providing a mechanistic understanding of clinical problems. Publication of new data is not the purview of the journal. Articles are written by international specialists in the field, discussing such complex issues as distinctive functional features of central nervous system disease and injury; challenges in early diagnosis; the impact of genes and environment on function; risk factors for functional impairment; treatment efficacy of neuropsychological rehabilitation; the role of neuroimaging, neuroelectrophysiology, and other neurometric modalities in explicating function; clinical trial design; neuropsychological function and its substrates characteristic of normal development and aging; and neuropsychological dysfunction and its substrates in neurological, psychiatric, and medical conditions. The journal''s broad perspective is supported by an outstanding, multidisciplinary editorial review board guided by the aim to provide students and professionals, clinicians and researchers with scholarly articles that critically and objectively summarize and synthesize the strengths and weaknesses in the literature and propose novel hypotheses, methods of analysis, and links to other fields.
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