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基于个性化功能拓的多站点大脑年龄预测建模揭示了主要抑郁症中不同的神经发育

Chenxuan Pang^1,2,3, Xiaoyi Sun^1,2,3,4, Jianlong Zhao^1,2,3

¹State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, China.

Proceedings of the National Academy of Sciences of the United States of America

|March 11, 2026

概括

大型抑郁症 (MDD) 显示出多样化的大脑发育模式. 两个子组,积极和消极的大脑年龄差距 (BAGs),显示出明显的神经发育,临床和分子差异,有助于个性化治疗MDD.

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:

大型抑郁症 (MDD) 涉及到广泛的功能性大脑网络改变.
在MDD患者群体中不典型的大脑发育的异质性是不太了解的.

研究的目的:

用大脑年龄预测来描述MDD的神经发育异质性的特征.
根据大脑年龄差距 (BAG) 在MDD患者中识别不同的子组.

主要方法:

利用一个大型的多站点静止状态功能性MRI数据集 (1,105名MDD患者,1065名对照).
开发了一种基于功能拓的协调多中心大脑年龄预测模型.
在已识别的子组中分析了网络变化,临床症状和基因表达模式.

主要成果:

确定了两个MDD子组:BAG+ (加速衰老) 和BAG- (发育延迟).
BAG+显示SAL扩张和感觉运动/DAN收缩;BAG-显示SAL扩张和视觉/SMN收缩.
小组在临床关联 (情绪与失眠) 和分子概况 (基因表达) 上有所不同.
抗抑郁药治疗的影响是特定于子组的.

结论:

MDD表现出异质的神经发育特征,具有明显的生物和临床特征.
这些发现支持在MDD治疗中个性化精准医学方法的潜力.

关键词:

大脑年龄大脑年龄连接ome连接ome连接ome 生命周期轨迹的轨迹大型抑郁症主要是抑郁症.转录组 (transcriptome) 是一个转录组.

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