Fernyhough Charles, Alderson-Day Ben, Hurlburt Russell T, Kühn Simone
Department of Psychology, Durham University, Durham, United Kingdom.
Department of Psychology, University of Nevada, Las Vegas, Las Vegas, NV, United States.
Front Hum Neurosci. 2018 Dec 6;12:494. doi: 10.3389/fnhum.2018.00494. eCollection 2018.
Research into resting-state cognition has often struggled with the challenge of assessing inner experience in the resting state. We employed Descriptive Experience Sampling (DES), a method aimed at generating detailed and high-fidelity descriptions of experience, to investigate how experience in the resting state can vary between internal, external, and multiple simultaneous streams. Using a large body of experiential and brain activation data acquired from five DES participants, independent raters classified sampled moments of experience according to whether they were internally directed, externally directed, or contained elements of both at the same time. In line with existing models, comparison of internal with external experience samples identified a network of regions associated with the default mode network. Regions of interest resulting from the whole-brain contrasts successfully predicted independent raters' forced-choice categorizations of samples for which experience had a simultaneous internal and external focus. The present study is distinctive in tying neural activations in the resting state to detailed descriptions of specific phenomenology, and in demonstrating how the DES method enables a particularly nuanced analysis of moments of experience, especially their ability simultaneously to incorporate both an internal and an external focus. The study represents an integration of rich phenomenology and characterizations of brain activity, tracing interpretive paths from phenomenology to neural activation and .
对静息态认知的研究常常面临评估静息态内心体验这一挑战。我们采用了描述性体验抽样法(DES),这是一种旨在生成详细且高保真体验描述的方法,来探究静息态体验在内部、外部以及多个同时存在的信息流之间是如何变化的。利用从五名DES参与者那里获取的大量体验和大脑激活数据,独立评分者根据体验样本是内部导向、外部导向还是同时包含两者的元素,对抽样的体验时刻进行分类。与现有模型一致,将内部体验样本与外部体验样本进行比较,确定了一个与默认模式网络相关的区域网络。全脑对比得出的感兴趣区域成功预测了独立评分者对体验同时具有内部和外部焦点的样本的强制选择分类。本研究的独特之处在于将静息态下的神经激活与特定现象学的详细描述联系起来,并展示了DES方法如何能够对体验时刻进行特别细致入微的分析,尤其是其同时纳入内部和外部焦点的能力。该研究代表了丰富的现象学与大脑活动特征的整合,追溯了从现象学到神经激活的解释路径。