对静息态 fMRI 连接组学的全面研究,在考虑了患病退伍军人群体大脑功能损伤的异质性后,对海湾战争疾病的大脑功能缺陷有了新的认识

Q4 Neuroscience
Gaungming Yang , Robert W. Haley , Ying Guo , Kaundinya S. Gopinath
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引用次数: 0

摘要

据估计,1991 年海湾战争(GW)中有 20 万名退伍军人(多达 32% 的部署人员)患有海湾战争疾病(GWI),这是一种尚不完全清楚的慢性疾病,其特征是出现多种症状,表明大脑功能在不同领域出现缺陷。流行病学和动物研究表明,GWI 与暴露于神经毒剂、有机磷农药和溴化吡啶斯的明等神经毒性化学物质有关。阻碍对 GWI 进行机理研究的一个因素是,在患病的 GW 退伍军人群体中,脑损伤存在相当大的异质性。这可能反映了暴露于神经毒性物质以及遗传易感性或对神经毒性的抵抗力的潜在异质性。在已验证的病例定义中,只有海利 GWI 标准解决了这种异质性问题。它根据对 GWI 退伍军人症状的因子分析,将 GWI 分成三个主要的综合征变体(GWS1、GWS2 和 GWS3)。静息状态 fMRI(rsfMRI)是一种独特而有用的脑成像技术,因为在 10 分钟的 fMRI 扫描中,它可以同时探测多个脑功能域。在这项研究中,我们采用了一种连接组学方法,并通过对一组 GW 退伍军人的 rsfMRI 数据进行机器学习,提取出了针对三种 Haley GWI 综合征的神经影像生物标记物。我们的研究结果揭示了一些关于每个综合征组别特有的大脑功能损伤的新见解。这些研究结果表明,这些缺陷在很大程度上可能是由大脑机制驱动的。我们还发现,将所有三种综合征的数据汇集到 GWI 组中,如通常采用的 GWI 病例定义所做的那样,会导致无法检测到这些脑损伤的大量 fMRI 特征。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comprehensive examination of resting state fMRI connectomics yields new insights into brain function deficits in Gulf War illness after accounting for heterogeneity in brain impairment across the ill veteran population

An estimated 200,000 veterans (up to 32% of those deployed) of the 1991 Gulf War (GW) suffer from GW illness (GWI), an incompletely understood chronic medical condition, characterized by multiple symptoms indicative of brain function deficits in various domains. Epidemiologic and animal studies have associated GWI with exposure to neurotoxic chemicals such as nerve agents, organophosphate pesticides and pyridostigmine bromide. One factor that hampers mechanistic investigations into GWI is that there is considerable heterogeneity in brain impairments across the ill GW veteran population. This could reflect the underlying heterogeneity in both exposure to neurotoxic substances, as well as genetic predisposition or resistance to neurotoxicity. Only one of the validated case definitions, the Haley GWI criteria addresses this heterogeneity. It does so by breaking down GWI into three main syndrome variants (GWS1, GWS2, and GWS3) based on factor analysis of symptoms presented by GWI veterans. Resting state fMRI (rsfMRI) is a uniquely useful brain imaging technique in that in a 10-min fMRI scan it can probe numerous brain function domains simultaneously. In this study, we employed a connectomics approach and machine learning on rsfMRI data from a cohort of GW veterans to extract neuroimaging biomarkers specific to each of the three Haley GWI syndromes. Our results revealed a number of new insights into brain function impairment specific to each syndrome group. The findings indicate that these deficits may by and large be driven by brain mechanisms. We also found that pooling the data of all three syndromes in GWI group, as is done by commonly employed case definitions of GWI resulted in failure to detect the fMRI signatures of a lot of these brain impairments.

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来源期刊
Neuroimage. Reports
Neuroimage. Reports Neuroscience (General)
CiteScore
1.90
自引率
0.00%
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审稿时长
87 days
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