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帕金森病中的皮质厚度:基于坐标的荟萃分析。

Cortical thickness in Parkinson disease: A coordinate-based meta-analysis.

作者信息

Sheng LiQin, Zhao PanWen, Ma HaiRong, Radua Joaquim, Yi ZhongQuan, Shi YuanYuan, Zhong JianGuo, Dai ZhenYu, Pan PingLei

机构信息

Department of Neurology, Kunshan Hospital of Traditional Chinese Medicine, Kunshan.

Department of Central Laboratory.

出版信息

Medicine (Baltimore). 2020 Jul 31;99(31):e21403. doi: 10.1097/MD.0000000000021403.

DOI:10.1097/MD.0000000000021403
PMID:32756136
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7402896/
Abstract

BACKGROUND

A growing number of studies have used surface-based morphometry (SBM) analyses to investigate gray matter cortical thickness (CTh) abnormalities in Parkinson disease (PD). However, the results across studies are inconsistent and have not been systematically reviewed. A clear picture of CTh alterations in PD remains lacked. Coordinate-based meta-analysis (CBMA) is a powerful tool to quantitatively integrate the results of individual voxel-based neuroimaging studies to identify the functional or structural neural substrates of particular neuropsychiatric disorders. Recently, CBMA has been updated for integrating SBM studies.

METHODS

The online databases PubMed, Embase, Web of Science, China National Knowledge Infrastructure (CNKI), WanFang, and SinoMed were comprehensively searched without language limitations from the database inception to February 2, 2020. We will include all SBM studies that compared regional CTh between patients with idiopathic PD and healthy control subjects at the whole-cortex level using Seed-based d Mapping with Permutation of Subject Images (SDM-PSI). In addition to the main CBMA, we will conduct several supplementary analyses to test the robustness of the results, such as jackknife analyses, subgroup analyses, heterogeneity analyses, publication bias analyses, and meta-regression analyses.

RESULTS

This CBMA will offer the latest evidence of CTh alterations in PD.

CONCLUSIONS

Consistent and robust evidence of CTh alterations will feature brain morphometry of PD and may facilitate biomarker development.

PROSPERO REGISTRATION NUMBER

CRD42020148775.

摘要

背景

越来越多的研究使用基于表面的形态测量(SBM)分析来研究帕金森病(PD)中的灰质皮质厚度(CTh)异常。然而,各研究结果并不一致,且尚未进行系统评价。PD中CTh改变的清晰情况仍不明确。基于坐标的元分析(CBMA)是一种强大的工具,可定量整合基于体素的个体神经影像学研究结果,以识别特定神经精神疾病的功能或结构神经基础。最近,CBMA已更新用于整合SBM研究。

方法

全面检索在线数据库PubMed、Embase、Web of Science、中国知网(CNKI)、万方和中国生物医学文献数据库(SinoMed),检索时间从各数据库建库至2020年2月2日,无语言限制。我们将纳入所有使用基于种子点的受试者图像置换映射(SDM-PSI)在全皮质水平比较特发性PD患者与健康对照受试者区域CTh的SBM研究。除主要的CBMA外,我们还将进行多项补充分析以检验结果的稳健性,如留一法分析、亚组分析、异质性分析、发表偏倚分析和元回归分析。

结果

本CBMA将提供PD中CTh改变的最新证据。

结论

CTh改变的一致且稳健的证据将成为PD脑形态测量的特征,并可能促进生物标志物的开发。

PROSPERO注册号:CRD42020148775。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc03/7402896/3ec646675603/medi-99-e21403-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc03/7402896/3ec646675603/medi-99-e21403-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc03/7402896/3ec646675603/medi-99-e21403-g001.jpg

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Meta-analysis of cortical thickness abnormalities in medication-free patients with major depressive disorder.抗抑郁药治疗的重性抑郁障碍患者皮质厚度异常的荟萃分析。
Neuropsychopharmacology. 2020 Mar;45(4):703-712. doi: 10.1038/s41386-019-0563-9. Epub 2019 Nov 6.
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