门德尔随机化分析揭示了大脑功能网络与精神疾病风险之间的因果关系
Changgai Mu1, Xinglun Dang1, Xiong-Jian Luo2
1Department of Psychosomatics and Psychiatry, Zhongda Hospital, School of Medicine, Advanced Institute for Life and Health, Southeast University, Nanjing, China.
Nature human behaviour
|May 9, 2024
概括
这项研究使用了门德尔的随机化来探索大脑网络和精神疾病之间的因果关系. 研究结果揭示了与自闭症,创伤后应激障碍,抑郁症,多动症和精神分裂症等疾病风险相关的特定功能网络改变.
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 遗传学 是一个
背景情况:
- 大脑休息状态功能网络功能障碍在精神疾病中很常见.
- 这些网络与精神疾病之间的因果关系尚不清楚.
研究的目的:
- 使用孟德尔随机化研究191种静止状态功能磁共振成像 (rsfMRI) 现型和12种精神疾病之间的双向因果关系.
主要方法:
- 采用双向的双样本门德尔随机化 (MR) 分析.
- 利用了对rsfMRI表型 (n=34,691) 和精神疾病 (n=14,307至698,672) 的大规模遗传数据.
主要成果:
- 前进MR确定了8种与精神疾病风险因果相关的rsfMRI表型.
- 运动,边缘和皮下-小脑网络的连接性增加与较低的自闭症风险有关.
- 增加默认模式和中央执行网络连接与较低的PTSD和抑郁风险相关.
- 反向MR显示了4种疾病和6种rsfMRI表型之间的关联,例如,ADHD风险增加了注意力,突出性,运动和皮层-小脑网络的连接性;精神分裂症风险影响了默认模式,中央执行和注意力网络.
结论:
- 确立了特定的大脑功能网络和精神疾病之间的因果关系.
- 针对精神疾病,在大脑功能网络层面确定了潜在的干预和治疗目标.
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