在有或没有情绪不稳定的个体中,在不同的时间尺度上暗示学习
L Z Atkinson1, N Zokaei2, P Panchal1
1Department of Psychiatry, University of Oxford, Oxford, United Kingdom.
Journal of affective disorders
|November 19, 2025
概括
情绪不稳定的个体,以情绪障碍问卷 (MDQ) 为标志,表现出每日学习受损. 数字监控揭示了在几天内检测模式的困难,影响精神疾病中的认知功能.
科学领域:
- 精神病学是一个精神病学.
- 认知神经科学 认知神经科学
- 数字健康数字健康
背景情况:
- 情绪不稳定和认知障碍是精神疾病的关键特征,如双相情感障碍 (BD).
- 同时的情绪和认知指标之间的纵向关系仍未得到充分探索.
- 数字远程监控提供了一种新的方法来捕捉这些动态.
研究的目的:
- 通过使用数字远程监控来研究情绪不稳定和认知功能之间的关系.
- 评估不同时间尺度的隐性学习在不同情绪不稳定的个体.
- 评估同时对情绪和认知的高频监测的可行性.
主要方法:
- 一项为期10周的前性研究,将高情绪障碍问卷 (MDQ) 组与低MDQ组进行比较.
- 利用数字远程监控进行日常情绪评分和评估隐式学习的上下文提示任务.
- 测量学习倾斜跨日和在10周的实验性会议内.
主要成果:
- 高MDQ的参与者表现出较浅的学习斜率,在几天内进行上下文暗示,这表明长期模式检测受损.
- 对于新目标,情绪不稳定和反应时间不稳定之间没有发现显著的关联.
- 对于频繁重复的目标,学习斜率更,证实了在各种时间尺度上的上下文暗示的有效性.
结论:
- 情绪不稳定的个体很难在长时间 (几天) 内检测和整合刺激规律.
- 同时数字监测情绪和认知是可行的,对于理解情绪-认知相互作用是有价值的.
- 研究结果表明,与精神疾病中的情绪不稳定性相关的模式检测中的潜在认知缺陷.
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