默认模式和前对对联网络动态:与家族抑郁风险和压力敏感性的关联
Emily L Belleau1,2, Rebecca Kremens1, Thomas A W Bolton3
1Center for Depression, Anxiety and Stress Research, McLean Hospital, Belmont, MA, USA.
Journal of mood and anxiety disorders
|August 28, 2024
概括
默认模式 (DMN) 和前对对对 (FPN) 网络中的动态大脑网络改变可能表明对主要抑郁症 (MDD) 的倾向. 风险青少年持续的DMN-FPN连接预测了高度的压力敏感性,这表明MDD脆弱性的潜在生物标志物.
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.
- 发展心理学 发展心理学
背景情况:
- 大型抑郁症 (MDD) 与改变的默认模式 (DMN) 和前端对象 (FPN) 网络动态有关.
- 目前尚不清楚这些网络变化是否在风险青少年中发生MDD发病之前发生,还是由于这种疾病而发生.
- 之前的研究主要研究了静态,而不是动态的网络属性作为漏洞标记.
研究的目的:
- 调查具有高家族MDD风险的青少年的动态功能网络属性是否与没有这种风险的青少年不同.
- 确定这些动态性质是否预测未来的抑郁症状和风险青少年的压力敏感性.
主要方法:
- 89名12-14岁的青少年 (27名高风险,62名低风险) 接受了休息状态的fMRI扫描,并在两年内完成了症状/压力评估.
- 同激活模式 (CAP) 分析检查了DMN-FPN的动态特性,包括在CAP中花费的时间,CAP持久性和网络之间的过渡.
- 多级模型评估了DMN-FPN动态对未来抑郁症状和压力敏感性的预测能力.
主要成果:
- 与低风险同龄人相比,高风险青少年在后面的DMN-FPN CAP中表现出更长的时间和更长的持续时间.
- DMN-FPN CAP持久性显著预测了未来的感知压力,但仅在高风险组.
- 在高风险青少年中,更高的DMN-FPN CAP持久性与更大的未来感知压力相关,而较低的持久性与压力减少有关.
结论:
- 高风险青少年的改变的DMN-FPN动态特性与MDD个体的动态特性相似,这表明这些动态可能是风险标志物,而不是后果.
- 长时间的DMN-FPN CAP持久性似乎通过预测增加的压力敏感性来赋予脆弱性,这是MDD的已知前体.
- 建议在更大的队列中进一步验证.
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