识别精神病亚型使用个性化协差结构差异网络和多站点聚类
Yixin Ji1, Godfrey Pearlson2, Juan Bustillo3
1College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China; Key Laboratory of Brain-Machine Intelligence Technology, Ministry of Education, Nanjing, China.
Schizophrenia research
|December 21, 2023
概括
这项研究使用神经成像识别了两种不同的精神病亚型,揭示了亲属的不同倾向. 这些发现促进了对精神病异质性和诊断分类的理解.
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.
- 遗传学 是一个遗传学.
背景情况:
- 精神分裂症 (SZ),精神分裂情绪障碍 (SAD) 和双相情感障碍 (BP) 具有临床和遗传相似性,使差异诊断复杂化.
- 以前的亚型识别依赖于群体级神经成像,忽视了个体差异.
研究的目的:
- 根据个体级神经成像数据识别精神病亚型.
- 研究已识别的亚型及其亲属之间的临床和神经生物学差异.
主要方法:
- 为455名精神病患者 (SZ,SAD,BP) 构建了个性化协差结构差异网络 (ICSDNs).
- 采用多站点聚类来识别亚型,并分析临床表型和fALFF中的群体差异.
- 在数据集,集群方法和大脑图谱中验证了发现.
主要成果:
- 确定了两种精神病亚型 (S-I和S-II),具有明显的结构共变性模式.
- 亚型I (S-I) 显示桃体-海马体和叶皮层连接性下降,情绪症状较高.
- 亚型II (S-II) 在神经生物学和临床上更类似于健康对照组 (HC).
结论:
- 结果协调了对精神病异质性的分类和维度观点.
- S-I 的亲属更容易患精神病,而 S-II 的亲属看起来更健康.
- 这项研究支持神经成像对精神病谱系障碍的诊断分类.
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