与心理健康相关的认知情感偏见的数字评估
Sang-Eon Park1, Jisu Chung1, Jeonghyun Lee1
1Department of Brain and Cognitive Sciences, Seoul National University, Seoul, Republic of Korea.
PLOS digital health
|August 29, 2024
概括
这项研究开发了基于大脑的数字治疗方法,以评估和监测认知情感功能. 一个为期2周的数字认知训练计划减少了情绪偏见和焦虑症状,通过EEG测量得到验证.
科学领域:
- 神经科学是一个神经科学.
- 心理学 心理学 心理学
- 数字治疗学数字治疗学
背景情况:
- 对数字心理健康解决方案的日益增长的需求需要科学验证的数字内容.
- 基于大脑的数字治疗方法的开发对于评估和监测认知情感功能至关重要.
- 社会和情感偏见会影响不同的人口和年龄组的心理健康.
研究的目的:
- 建立基于大脑的数字治疗学的科学基础.
- 开发和验证计算机化的认知任务,评估社会和情感偏见.
- 评估游戏化的数字认知培训计划的可行性和有效性.
主要方法:
- 开发了三个计算机化的认知任务 (情绪侧翼,去不去,社会评估) 带有动画图形.
- 在各种样本 (儿童,成年人,老年人,抑郁症患者) 中使用触摸屏和在线平台验证任务.
- 使用主要组件分析 (PCA) 来提取认知情感功能,以及用于神经相关的可穿戴EEG.
主要成果:
- 提取了代表认知情感功能的五个主要组成部分.
- 与对照组相比,一个游戏化的培训计划表明,干预组的情绪偏见减少了.
- 情绪偏差的减少与焦虑症状的减少相关,由EEG发现 (额头α/gamma功率) 支持.
结论:
- 计算机化认知任务和PCA为评估认知-情感功能提供了强大的方法.
- 游戏化的数字认知训练显示了减少情绪偏见和焦虑的潜力.
- 可穿戴式EEG可以监测与认知训练和心理健康改善相关的神经变化.
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