神经认知风险表型化用于预测青少年情绪症状
Roselinde H Kaiser1, Amelia D Moser1, Chiara Neilson2
1Research on Affective Disorders and Development (RADD) Lab, Department of Psychology and Neuroscience, University of Colorado Boulder.
Journal of psychopathology and clinical science
|December 7, 2023
概括
神经认知因素,如奖励处理和执行功能,可以预测青少年情绪障碍症状. 特定的大脑活动和行为模式可以预测躁狂或无情症状的发展.
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.
- 机器学习 机器学习
背景情况:
- 青少年情绪障碍对预测有重大挑战.
- 识别神经认知预测因子对于理解症状表现和临床概况至关重要.
研究的目的:
- 研究神经认知变量作为风险青少年未来躁狂和无情症状的预测因素.
- 识别不同的神经认知子组及其相关情绪障碍症状概况.
主要方法:
- 利用来自两个青少年样本的神经认知数据 (认知测试,fMRI) 的机器学习.
- 在基线评估奖励处理和执行功能.
- 运用每日日记方法8-16周来跟踪情绪症状和压力反应.
主要成果:
- 在两种样本中,腹腔皮质三角体奖励低敏感性预测了应激反应性无.
- 较差的执行功能与整体无情感 (样本1) 和较低的应激反应性无情感 (两个样本) 有关.
- 奖励过敏性与执行功能不佳相结合,预测了躁狂症状 (样本1) 和特定的单极/双极症状概况.
结论:
- 神经认知现象,包括奖励系统功能和执行控制,对于预测青少年情绪障碍症状轨迹非常有价值.
- 不同的神经认知子组显示单极和双极情绪病理的差异风险.
- 这些发现支持使用神经认知资料进行个性化风险评估和青少年心理健康干预.
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