Abstract：
The brain connectivity-based atlas is a promising tool for understanding neural communication pathways in the brain, gaining relevance in predicting personalized outcomes for various brain pathologies. This critical review examines the robustness of the brain connectivity-based atlas for predicting post-stroke outcomes. A comprehensive literature search was conducted from 2012 to May 2023 across PubMed, Scopus, EMBASE, EBSCOhost, and Medline databases. Twenty-one studies were screened, and through analysis of these studies, we identified 18 brain connectivity atlases employed by the studies for lesion analysis in their predictions. The brain atlases were assessed for study cohorts, connectivity measures, identified brain regions, atlas applications, and limitations. Based on the analysis of these studies, most atlases were based on diffusion tensor imaging and resting-state functional magnetic resonance imaging (MRI). Studies predicting post-stroke functional outcomes relied on the atlases for multivariate lesion analysis and region of interest identification, often employing atlases derived from young, healthy populations. Current brain connectivity-based atlases for stroke applications lack standardized methods to define and map brain connectivity across atlases and cover sensorimotor functional connectivity to a limited extent. In conclusion, this review highlights the need to develop more comprehensive, robust, and adaptable brain connectivity-based atlases specifically tailored to post-stroke populations.
摘要：
基于大脑连接的地图集是一个有前途的工具，用于理解大脑中的神经沟通途径，在预测各种脑部病理的个性化结果方面获得相关性。这篇重要的评论研究了基于大脑连接的图谱预测卒中后结局的鲁棒性。2012年至2023年5月，在PubMed进行了全面的文献检索，Scopus,EMBASE,EBSCOhost,和Medline数据库。筛选了21项研究，通过对这些研究的分析，我们确定了研究在预测中用于病变分析的18种脑连接图谱.对研究队列的大脑图谱进行了评估，连通性措施，确定的大脑区域，阿特拉斯应用，和限制。根据对这些研究的分析,大多数图谱基于弥散张量成像和静息态功能磁共振成像(MRI).预测卒中后功能结局的研究依赖于多变量病变分析和感兴趣区域识别的图谱。经常使用来自年轻人的地图集，健康人群。当前用于中风应用的基于大脑连通性的图集缺乏标准化方法来定义和绘制跨图集的大脑连通性，并在有限程度上覆盖感觉运动功能连通性。总之,这次审查强调了发展更全面的必要性，健壮,以及专门为中风后人群量身定制的基于适应性脑连接的地图集。
