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

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

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

Using personalized story-reading and fMRI, this study decodes two core dimensions of spontaneous thought—self-relevance and valence—revealing contributions of default mode, ventral attention, and frontoparietal networks and specific regions like the anterior insula and TPJ. This research was conducted by Authors present in <Authors> tag.... show more
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