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Brain decoding of spontaneous thought: Predictive modeling of self-relevance and valence using personal narratives

Psychology

Brain decoding of spontaneous thought: Predictive modeling of self-relevance and valence using personal narratives

H. J. Kim, B. K. Lux, et al.

Can we read spontaneous thoughts? In this study, Hong Ji Kim, Byeol Kim Lux, Eunjin Lee, Emily S. Finn, and Choong-Wan Woo decoded two content dimensions of spontaneous thought—self-relevance and valence—directly from fMRI. Using individually generated personal stories (training n=49; tests total n=199), activity in default mode, ventral attention, and frontoparietal networks—plus anterior insula/midcingulate (self-relevance) and left TPJ/dorsomedial PFC (valence)—predicted internal thoughts and emotions, highlighting the potential for brain decoding of spontaneous thought.

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~3 min • Beginner • English
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