ArticleProceedings of the National Academy of Sciences of the United States of America2024
Brain decoding of spontaneous thought: Predictive modeling of self-relevance and valence using personal narratives.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- Ongoing thoughts at rest reflect functional brain organization and behaviour.Nature human behaviour · 2026Article
- In-scanner thoughts contribute to resting-state functional connectivity.Nature communications · 2026Article
- Brain neuromarkers predict self- and other-related mentalizing across adult, clinical, and developmental samples.Nature communications · 2026Article
- Real-time fMRI-triggered experience-sampling: a proof-of-concept study.bioRxiv : the preprint server for biology · 2026Article
- An fMRI dataset of verbalized spontaneous thought with annotated transcripts and self-report trait measures.bioRxiv : the preprint server for biology · 2026Article
- Social mind at rest: resting-state connectivity associated with social thought relates to friendship quality.Social cognitive and affective neuroscience · 2026Article
- Spatiotemporal disruption of prefrontal dynamics during affective association in depression: an fNIRS case-control study.BMC psychiatry · 2026Article
- Mapping content and dynamics in the stream of consciousness through latent brain state analysis.iScience · 2025Article
- Brain-based predictive modeling of mind-wandering and involuntary thought: the idiographic approach.Technology, mind, and behavior · 2025Article
- Personalized Neuroimaging Reveals the Impact of Children's Interests on Language Processing in the Brain.bioRxiv : the preprint server for biology · 2024Article
- Digital assessment of cognitive-affective biases related to mental health.PLOS digital health · 2024Article
- Brain decoding of spontaneous thought: Predictive modeling of self-relevance and valence using personal narratives.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Personalized neuroimaging reveals the impact of children's interests on language processing in the brain.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Individual variability in neural representations of mind-wandering.Network neuroscience (Cambridge, Mass.) · 2024Article
- Family lexicon: Using language models to encode memories of personally familiar and famous people and places in the brain.PloS one · 2024Article
- Challenges in the measurement and interpretation of dynamic functional connectivity.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Real-time fMRI-triggered experience sampling: A proof-of-concept study.Imaging neuroscience (Cambridge, Mass.)Article
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5 authors.
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Abstract
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 (
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