了解非普通意识状态中的个体差异:现象学体验与自主神经系统之间的关系
Victor Oswald1,2, Karim Jerbi2, Corine Sombrun3
1Conscious Care Lab, GIGA Consciousness, University of Liège, Liège, Belgium.
概括
通过探索非普通的意识状态,这项研究发现,自主神经系统活动的个体差异和自动诱导认知惚 (AICT) 期间的自我报告经验是相关的. 基线生理和现象状态预测AICT期间的变化.
科学领域:
- 心理学 心理学 心理学
- 神经科学是一个神经科学.
- 心理生理学 心理生理学
背景情况:
- 非普通的意识状态提供了对心身相互作用的洞察.
- 了解这些状态中的个体差异对于探索主观经验和生理相关性至关重要.
研究的目的:
- 研究与静止状态相比,自发性认知惚 (AICT) 期间现象学和自主神经系统变化的个体差异.
- 检查AICT期间自我报告的体验和心率变化 (HRV) 之间的关系.
- 探索基线个人差异如何影响AICT期间现象学和HRV的变化.
主要方法:
- 27名参与者接受了心电图,以评估心率变化 (HRV),并完成了休息和AICT状态期间的自我报告问卷.
- 基于HRV和自我报告数据,使用机器学习框架来区分休息状态和AICT状态.
- 线性混合效应模型分析了HRV和现象学的个体间差异,以及它们与AICT期间相对变化的关系.
主要成果:
- 通过自我报告的现象学 (86%准确率) 和HRV (73%准确率) 的变化,AICT状态与休息状态被准确地区分开来.
- 现象学和HRV的基线水平与AICT期间变化的幅度有关.
- HRV的相对变化与自我报告的现象学变化有显著的相关性.
结论:
- 休息状态现象学和自主神经系统活动的个体差异预测了非普通意识状态期间的动态变化.
- 这些发现表明,在AICT期间,主观经验和生理调节之间存在一个功能机制.
- 这项研究为个人生理倾向如何塑造意识改变状态中的主观体验提供了新的视角.
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