在情绪和精神病障碍之间对功能性大脑失联的基于标签的元分析
Stéphanie Grot1, Salima Smine2, Stéphane Potvin1
1Research Center, Montreal University Institute for Mental Health, Montréal, Québec, Canada; Department of Psychiatry and Addictology, University of Montreal, Montréal, Québec, Canada.
Progress in neuro-psychopharmacology & biological psychiatry
|January 24, 2024
概括
大型抑郁症 (MDD),双相情感障碍 (BD) 和精神分裂症 (SZ) 中的功能性大脑失联显示出高阶认知网络的共同变化. 下级网络差异可以区分情绪和精神病障碍.
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:
- 休息状态功能磁共振成像 (rsfMRI) 显示在大型抑郁症 (MDD),双相情感障碍 (BD) 和精神分裂症 (SZ) 中的大脑失联.
- 这些疾病越来越多地被认为与潜在的神经生物学变化有关.
- 之前的研究经常孤立地检查这些情况.
研究的目的:
- 调查MDD,BD和SZ之间大脑失联的共享和独特模式.
- 使用全脑网络方法对rsfMRI发现进行新的元分析.
- 识别跨诊断和疾病特异的神经生物学标志物.
主要方法:
- 进行了对MDD,BD和SZ的428个rsfMRI研究的元分析.
- 从研究数据中提取神经解剖学标签,超越传统的基于voxel的方法.
- 在整个大脑网络层面使用换测试检查功能连接.
主要成果:
- 在所有三种障碍中,在高阶认知网络 (默认模式,前端-parietal, cingulo-opercular) 中发现了低连接性和高连接性的共同模式.
- 下级网络 (体力运动,视觉,听觉) 的失联性显示出疾病之间的差异.
- 精神分裂症 (SZ) 显著脱离双相情感障碍 (BD) 和主要抑郁障碍 (MDD) 基于低级网络变化.
结论:
- 高级认知网络中的功能性大脑失联似乎是跨MDD,BD和SZ的跨诊断特征.
- 下级网络失联可能有助于区分情绪障碍 (MDD,BD) 和精神病障碍 (SZ).
- 强调运动和感官网络在精神病神经科学研究中的重要性.
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