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Chanidapa Winalai¹, Dominique J Bicout²

¹Univ. Grenoble Alpes, CNRS, UMR 5525, VetAgro Sup, Grenoble INP, TIMC, 38000 Grenoble, France.

|January 9, 2026

概括

神经退行性疾病 (NDD) 显示出多种不同的大脑影响. 这项研究绘制了29个NDD,将大脑区域与认知功能联系起来,揭示了共同的模式,并根据共同影响将疾病分组起来.

科学领域:

神经科学是一个神经科学.
神经学神经学
医疗成像医学成像

背景情况:

神经退行性疾病 (NDD) 呈现出各种不同的解剖学和认知症状.
目前缺乏在不同NDD之间进行全面的,大脑范围的比较.
了解共享和独特的神经解剖学模式对于NDD研究至关重要.

研究的目的:

创建一个统一的,基于29个神经退行性疾病的地图.
在NDD中系统地将神经解剖学参与与认知和行为功能联系起来.
为了确定共享的神经解剖学特征和功能影响概况.

主要方法:

合成已发表的神经成像和神经病理学数据.
使用耶鲁大脑图谱提取和协调了解剖学定位数据.
量化了受影响的区域,并将它们与18个认知/行为功能联系起来.

主要成果:

生成空间热图,疾病区域矩阵和疾病功能矩阵.
主要组件和集群分析揭示了基于功能影响的NDD的连贯分组.
确定了强大的潜伏结构,将解剖退化与认知障碍联系起来.

结论:

基于合成的映射提供了一个跨维度的神经退行症的统一景观.
揭示了多样化的NDD在它们的解剖学和功能影响中如何融合和分离.
交互式网站提供了一个可访问的资源,用于可视化NDD模式.

关键词:

3D可视化的3D可视化大脑绘制地图.神经退行性疾病的神经退行性疾病

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