使用一种新型的数字Go/No-Go来分离主体内时间波动的反应时间和准确性.
medRxiv : the preprint server for health sciences
|July 1, 2024
概括
这项研究揭示了情绪障碍冲动性反应时间的日间变化,而不是准确性. 重复的数字Go/No-Go任务测量可能为神经认知功能提供情绪依赖的生物标志物.
科学领域:
- 神经科学是一个神经科学.
- 心理学 心理学 心理学
- 数字健康数字健康
背景情况:
- 冲动性是情绪障碍并发症的重要危险因素.
- 了解冲动性的个体内变化对于临床见解至关重要.
- 数字工具为长度评估神经认知功能提供了新的方法.
研究的目的:
- 分析来自游戏化的数字Go/No-Go任务的纵向数据,以了解冲动性的变化.
- 调查日间和学习对反应时间和响应抑制精度的影响.
- 为了确定神经认知功能潜在的情绪依赖生物标志物.
主要方法:
- 在临床 (情绪障碍) 和开放科学样本中对数字Go/No-Go任务进行纵向分析.
- 混合效应建模以评估反应时间和响应抑制的准确性.
- 对日间效应的检查和在重复的体内测量中学习.
主要成果:
- 在两种样本中,在反应时间方面观察到白天效应,但不观察到准确度.
- 参与者随着时间的推移,反应抑制精度有所改善,但反应时间没有改善.
- 在抑郁症的严重程度和一天中的时间之间发现了显著的相互作用,表明情绪依赖的昼夜节律.
结论:
- 数字Go/No-Go任务的重复管理可以捕捉取决于情绪的昼夜节律意识的生物标志物.
- 这些发现突显了数字任务在评估情绪障碍中神经认知功能的潜力.
- 冲动性的个体内变化受到一天中的时间和情绪状态的影响.
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