Department of Radiology, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA; Research Imaging Institute, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA.
Department of Neurology, Beijing Tian Tan Hospital, Capital Medical University, Beijing, China.
Clin Radiol. 2019 Oct;74(10):816.e19-816.e28. doi: 10.1016/j.crad.2019.07.005. Epub 2019 Aug 14.
To test the network degeneration hypothesis in multiple sclerosis (MS) with a two-stage coordinate-based meta-analysis by: (1) characterising regional selectivity of grey matter (GM) atrophy and (2) testing for functional connectivity involving these regions.
Meta-analytic sources included 33 journal articles (1,666 MS patients and 1,269 healthy controls) with coordinate-based results from voxel-based morphometry analysis demonstrating GM atrophy. Mass univariate and multivariate coordinate-based meta-analyses were performed to identify a convergent pattern of GM atrophy and determine inter-regional co-activation (as a surrogate of functional connectivity), with anatomical likelihood estimation and functional meta-analytic connectivity modelling, respectively.
Localised GM atrophy was demonstrated in the thalamus, putamen, caudate, sensorimotor cortex, insula, superior temporal gyrus, and cingulate gyrus. This convergent pattern of atrophy displayed significant inter-regional functional co-activations.
In MS, GM atrophy was regionally selective, and these regions were functionally connected. The meta-analytic model-based results of this study are intended to guide future development of quantitative neuroimaging markers for diagnosis, evaluating disease progression, and monitoring treatment response.
通过两阶段基于坐标的荟萃分析检验多发性硬化症（MS）中的网络退化假说：（1）描述灰质（GM）萎缩的区域选择性，（2）测试涉及这些区域的功能连接。
元分析来源包括 33 篇期刊文章（1666 名 MS 患者和 1269 名健康对照者），基于体素的形态计量学分析提供了坐标结果，显示 GM 萎缩。进行了大规模单变量和多变量基于坐标的荟萃分析，以识别 GM 萎缩的收敛模式，并使用解剖似然估计和功能荟萃分析连接建模分别确定区域间的共同激活（作为功能连接的替代物）。
在丘脑、壳核、尾状核、感觉运动皮层、岛叶、颞上回和扣带回中发现了局部 GM 萎缩。这种萎缩的收敛模式显示出显著的区域间功能共同激活。
在 MS 中，GM 萎缩具有区域选择性，这些区域具有功能连接。本研究基于荟萃分析模型的结果旨在指导用于诊断、评估疾病进展和监测治疗反应的定量神经影像学标志物的未来发展。
