共享和独特的终身压力特征和网络连接性预测青少年焦虑和抑郁症
Yueyue Lydia Qu1,2, Sidhant Chopra3,4, Shijie Qu1,2
1Department of Psychology, Yale University, New Haven, CT, USA.
bioRxiv : the preprint server for biology
|November 1, 2024
概括
主要的生活压力和大脑网络连接预测了青少年的焦虑和抑郁. 陷的严重程度独特地预测了这两种情况,而默认的网络连接影响了焦虑和前端对象/默认的连接影响了抑郁.
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:
- 青少年的焦虑和抑郁与主要的生活压力因素以及大脑功能连接的改变有关.
- 在预测这些障碍时,压力特征和功能连接性之间的具体相互作用仍然不清楚.
研究的目的:
- 调查不同的生活压力特征和功能网络连接如何共同预测青少年的焦虑和抑郁症状.
- 确定焦虑与抑郁的特定预测因素和共享的预测因素.
主要方法:
- 对107名患有焦虑/抑郁障碍的青少年进行了长度研究.
- 评估一生压力特征 (身体危险,人际关系损失,羞辱,陷,角色变化/破坏) 和休息状态功能磁共振成像 (rs-fMRI) 数据.
- 使用线性混合效应模型来分析压力因子的严重程度,功能连接 (在/在前端对面,默认,腹部注意网络之间) 和6个月和12个月后续的症状预测之间的相互作用.
主要成果:
- 更严重的身体危险和羞辱预测了更高的焦虑症状.
- 更大的陷严重程度预测了更高的焦虑和抑郁症状.
- 连接性被考虑后,终身陷入困境的严重程度仍然是一个重要的预测指标;它预测焦虑更强烈地与更高的默认网络连接.
- 前端对象和默认网络之间的功能连接增加预测了更高的抑郁症状.
结论:
- 这是第一个联合研究终身压力特征和功能连接性来预测青少年焦虑和抑郁症的研究.
- 特定的压力特征 (例如,陷入困境) 和功能连接指标 (例如,默认网络连接) 作为焦虑和抑郁的独特预测因素.
- 陷入困境成为青少年焦虑和抑郁症的重要共同预测因素.
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