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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.

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.

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~3 min • Beginner • English
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Citations
11
Influential Citations
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Reference Count
79
Citation by Year

Note: The citation metrics presented here have been sourced from Semantic Scholar and OpenAlex.

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