覆盖着灰色和白色物质网络的特征是精神分裂症和双相情感障碍:数据融合机器学习方法和大脑网络分析
Alessandro Grecucci1, Alessandro Scarano2, Francesco Bruno3
1Department of Psychology and Cognitive Science, University of Trento, Italy; Center for Medical Sciences, University of Trento, Italy.
Journal of affective disorders
|June 23, 2025
概括
精神分裂症和双极性障碍显示重叠的大脑异常,支持连续性假设. 精神分裂症表现出比双极性障碍更严重的灰色和白质变化,这两种情况都与健康对照不同.
科学领域:
- 神经科学是一个神经科学.
- 精神病学是一个精神病学.
- 脑部成像 脑部成像
背景情况:
- 精神分裂症 (SZ) 和双极性障碍 (BD) 分享遗传和大脑异常,这表明扩展连续性假设.
- 了解灰质 (GM) 和白质 (WM) 特征的相似之处和差异对于澄清它们在这个连续体上的关系至关重要.
研究的目的:
- 描述SZ和BD之间的GM和WM特征的差异和共同点.
- 研究SZ和BD如何在神经连续上对齐或分离.
主要方法:
- 转移独立向量分析 (tIVA),是一种数据融合技术,应用于128个SZ,128个BD和127个健康对照 (CTRL) 的脑图像.
- 研究对象根据性别,年龄和智商进行了匹配.
- 使用随机森林分类和网络分析来确定区分特征.
主要成果:
- 三个tIVA网络 (tIV9,14,15) 涉及前区域,在SZ和BD之间存在差异.
- 与CTRL相比,SZ显示出更大的GM-WM异常 (tIV3,4,9,14,15),而BD显示出与CTRL相比的一个网络 (tIV9) 的差异.
- 一个网络 (tIV9) 在所有三个组 (SZ,BD,CTRL) 中都存在差异,与CTRL相比,SZ的网络集群系数和密度显著不同.
结论:
- SZ显示出比BD更明显的GM-WM异常,而BD在连续上占据中间位置.
- 这些发现支持扩展连续性假设,表明SZ和BD位于相同的神经异常连续上.
- tIV9被确定为区分这三个组的关键预测因子.
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