价(化学)
相关性(法律)
叙述的
颞顶交界
脑岛
心理学
走神
默认模式网络
情感配价
前额叶皮质
大脑活动与冥想
神经科学
认知心理学
认知
脑电图
哲学
语言学
政治学
法学
物理
量子力学
作者
Hong Ji Kim,Byeol Kim Lux,Eunjin Lee,Emily S. Finn,Choong‐Wan Woo
标识
DOI:10.1073/pnas.2401959121
摘要
The contents and dynamics of spontaneous thought are important factors for personality traits and mental health. However, assessing spontaneous thoughts is challenging due to their unconstrained nature, and directing participants' attention to report their thoughts may fundamentally alter them. Here, we aimed to decode two key content dimensions of spontaneous thought-self-relevance and valence-directly from brain activity. To train functional MRI-based predictive models, we used individually generated personal stories as stimuli in a story-reading task to mimic narrative-like spontaneous thoughts (n = 49). We then tested these models on multiple test datasets (total n = 199). The default mode, ventral attention, and frontoparietal networks played key roles in the predictions, with the anterior insula and midcingulate cortex contributing to self-relevance prediction and the left temporoparietal junction and dorsomedial prefrontal cortex contributing to valence prediction. Overall, this study presents brain models of internal thoughts and emotions, highlighting the potential for the brain decoding of spontaneous thought.
科研通智能强力驱动
Strongly Powered by AbleSci AI