抑郁症的复发伴随着更长的默认模式,在休息状态活动期间更频繁的注意力和奖励处理动态大脑状态
Sonsoles Alonso1,2, Anna Tyborowska3,4, Nessa Ikani3,5,6
1Department of Biomedical Sciences of Cells and Systems, Cognitive Neuroscience Center, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands.
Human brain mapping
|September 6, 2023
概括
重度抑郁症 (MDD) 复发涉及改变的大脑网络动态. 复发表明基底 - 前带皮层 (ACC) 网络活动增加,默认模式网络持续时间更长.
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.
- 计算生物学 计算生物学
背景情况:
- 重度抑郁症 (MDD) 的复发是常见的,但缺乏神经生物学脆弱性模型.
- 目前的研究往往侧重于稳定的,而不是动态的,大脑网络特征在MDD.
研究的目的:
- 为了调查大脑的动态功能连接谱的变化,在从缓解到MDD复发的过渡期间.
- 确定与MDD复发脆弱性相关的神经生物学标志物.
主要方法:
- 休息状态功能磁共振成像 (fMRI) 用于62名没有药物治疗的MDD患者,至少有两次发作.
- 领先的 Eigenvector 动力学分析 (LEiDA) 描述了功能连接的反复模式.
- 通过将基线缓解扫描与11名患者复发后的随访扫描进行比较来评估变化,由17名匹配的缓解患者验证.
主要成果:
- 在过渡到抑郁状态后,更频繁地检测到基底 - 前带皮层 (ACC) 和视觉注意网络.
- 默认模式网络活动持续时间在复发后显著增加.
- 在复发后观察到基底-ACC奖励网络活动与大脑其余部分的同步减少.
结论:
- 从MDD缓解到复发的过渡与大脑网络动态的显著改变有关.
- 这些发现表明,在反复出现的抑郁症期间,大脑对功能网络状态的探索发生了转变.
- 这项研究提供了初步证据,证明了改变动态谱系的探索作为MDD复发的标志物.
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