Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China.
Advanced Computing and Digital Engineering Research, Shenzhen Institutes of Advanced Technology (SIAT), Chinese Academy of Sciences, China.
EBioMedicine. 2022 Mar;77:103915. doi: 10.1016/j.ebiom.2022.103915. Epub 2022 Mar 5.
Although dysfunction of large-scale brain networks has been frequently demonstrated in patients with α-Synucleinopathy (α-Syn, i.e., Parkinson's disease, dementia with Lewy bodies, and multiple system atrophy), a consistent pattern of dysfunction remains unclear. We aim to investigate network dysfunction in patients with α-Syn through a meta-analysis.
Whole-brain seed-based resting-state functional connectivity studies (published before September 1st, 2020 in English) comparing α-Syn patients with healthy controls (HC) were retrieved from electronic databases (PubMed, Web of Science, and EMBASE). Seeds from each study were categorized into networks by their location within a priori functional networks. Seed-based effect size mapping with Permutation of Subject Images analysis of between-group effects identified the network systems in which α-Syn was associated with hyperconnectivity (increased connectivity in α-Syn vs. HC) or hypoconnectivity (decreased connectivity in α-Syn vs. HC) within and between each seed-network. This study was registered on PROSPERO (CRD42020210133).
In total, 136 seed-based voxel-wise resting-state functional connectivity datasets from 72 publications (3093 α-Syn patients and 3331 HC) were included in the meta-analysis. We found that α-Syn patients demonstrated imbalanced connectivity among subcortical network, cerebellum, and frontal parietal networks that involved in motor functioning and executive control. The patient group was associated with hypoconnectivity in default mode network and ventral attention network that involved in cognition and attention. Additionally, the patient group exhibited hyperconnectivity between neural systems involved in top-down emotion regulation and hypoconnectivity between networks involved in bottom-up emotion processing.
These findings supported neurocognitive models in which network dysfunction is tightly linked to motor, cognitive and psychiatric symptoms observed in α-Syn patients.
This study was partially supported by the Research Grants Council of Hong Kong (Grant No. RGC14116121).
尽管在 α-突触核蛋白病（α-Syn，即帕金森病、路易体痴呆和多系统萎缩）患者中经常发现大脑大尺度网络功能障碍，但功能障碍的一致模式仍不清楚。我们旨在通过元分析研究 α-Syn 患者的网络功能障碍。
从电子数据库（PubMed、Web of Science 和 EMBASE）中检索了比较 α-Syn 患者与健康对照（HC）的全脑种子静息态功能连接研究（于 2020 年 9 月 1 日之前以英文发表）。对每个研究的种子，根据其在预先确定的功能网络中的位置，将其归类为网络。通过对组间效应进行置换受试者图像分析的种子基础效应大小映射，确定了与 α-Syn 相关的超连接（与 HC 相比，α-Syn 中连接增加）或低连接（与 HC 相比，α-Syn 中连接减少）的网络系统，每个种子网络内和之间。本研究在 PROSPERO（CRD42020210133）上注册。
共有 72 篇文献（3093 名 α-Syn 患者和 3331 名 HC）的 136 个种子基体素静息态功能连接数据集纳入元分析。我们发现，α-Syn 患者表现出皮质下网络、小脑和额顶网络之间的连接不平衡，这些网络与运动功能和执行控制有关。与默认模式网络和腹侧注意网络的低连接有关，这些网络与认知和注意力有关。此外，患者组表现出涉及自上而下情绪调节的神经系统之间的高连接和涉及自下而上情绪处理的网络之间的低连接。
这些发现支持神经认知模型，即网络功能障碍与 α-Syn 患者观察到的运动、认知和精神症状密切相关。
本研究部分由香港研究资助局（Grant No. RGC14116121）资助。
