43. Decoding Spontaneous Thoughts From Brain Resting-State fMRI: Toward Understanding Rumination

Publikation: Beiträge in ZeitschriftenKonferenz-Abstracts in FachzeitschriftenForschung

Authors

  • Ronald Dekker
  • Aaron T. Nakamura
  • Amanda M. Lins
  • Moritz Bammel
  • Quentin Huys
  • Nicolas W. Schuck
  • Ming Bo Cai
Background
Rumination, an aberrant form of spontaneous thoughts, is a common symptom of major depressive disorder and anxiety disorders. Developing non-intrusive tools to study the content and dynamics of spontaneous thoughts is likely to be helpful for understanding rumination. We developed a novel approach to decode spontaneous thoughts using functional magnetic resonance imaging (fMRI) data during resting state.
Methods
fMRI data of 20 healthy participants (8 females, mean age 31.2, SD=10.1) were acquired during two tasks: free spontaneous thoughts (resting state for 3-5 minutes) followed by prompted verbal report of immediate thoughts, watching the movie Forrest Gump. Shared response modeling (functional alignment) was used to map whole-brain activity of all participants to a low dimensional space in which neural signals are synchronized during movie watching. Topic modeling based on a large language model identified 9 major topics among reported thoughts. Neural activity patterns in the low-dimensional space corresponding to the same topic in the 10 seconds before prompts were averaged across participants. Cross-validated decoding accuracy of thought topics was evaluated based on the cosine similarities between neural patterns of left-out participants and the average patterns of each topic from other participants.
OriginalspracheEnglisch
ZeitschriftBiological Psychiatry
Jahrgang97
Ausgabenummer9, Supplement
Seiten (von - bis)S112-S113
Anzahl der Seiten2
ISSN0006-3223
DOIs
PublikationsstatusErschienen - 01.05.2025

DOI

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