改变的动态网络稳定性在转发后期生活抑郁症与抑郁症复发相关
Damek Homiack1, Brian Boyd2, Aifeng Zhang1
1Department of Psychiatry, University of Illinois at Chicago, Chicago, Illinois.
Biological psychiatry. Cognitive neuroscience and neuroimaging
|September 7, 2025
概括
晚年抑郁症 (LLD) 破坏了大脑网络的稳定性,影响了认知功能并增加了复发风险. 这些网络变化即使在缓解后也持续存在,为预测未来抑郁症发作提供了潜在的生物标志物.
科学领域:
- 神经科学是一个神经科学.
- 老年学是指老年学的学科.
- 精神病学是一个精神病学.
背景情况:
- 晚年抑郁症 (LLD) 与复发和认知衰退等不良结果有关.
- 在LLD中这些结果的潜在神经生物学仍然不清楚.
- 大规模大脑网络的干扰可能是LLD相关认知障碍的基础.
研究的目的:
- 研究与晚年抑郁症 (LLD) 相关的大脑网络动态中的神经生物学变化.
- 为了比较从未患有抑郁症的人,从LLD中缓解的人,以及经历抑郁症复发的人的脑网络特性.
主要方法:
- 招募了从未患过抑郁症的老年人和从LLD (REMBRANDT研究) 处于早期缓解状态的人.
- 在基线收集休息状态fMRI和神经心理数据,监测2年.
- 利用k-means共识集群来识别反复出现的全脑网络状态和比较网络属性.
主要成果:
- 一个3个网络模型 (默认模式,认知控制,前侧突出) 最好描述网络状态.
- 与对照组相比,转移的LLD参与者显示网络弹性降低,网络过渡发生变化.
- 网络稳定性与对照组和转移个体的临床/神经心理标志物相关,但这种关联在复发性LLD患者中较弱.
结论:
- LLD显著改变了动态大脑网络的稳定性,并对缓解产生持久影响.
- 改变网络稳定性及其与临床标志物的关联可以预测LLD复发风险.
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