ArticleScientific reports2025
A dynamic framework of brain functional patterns shaped by spontaneous thoughts beyond the default mode network.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
3 citing papers in PubMed.
- How alexithymia shapes functional networks: Insights from a general population study.European psychiatry : the journal of the Association of European Psychiatrists · 2026Article
- Cognition, but not affect, rests upon a segregated intrinsic network architecture.bioRxiv : the preprint server for biology · 2026Article
- Altered regional homogeneity in Parkinson's disease with mild cognitive impairment: a resting-state fMRI study.Frontiers in psychology · 2026Article
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Authors and funding
4 authors.
Funding
Abstract
Cognitive functions emerge from the dynamic interplay of distributed, large-scale brain networks. Functional connectivity (FC) reflects stable brain organization and general cognitive abilities, while also capturing individual variations in transient cognitive states. Analyzing data from 1,717 participants, we show that rich and diverse spontaneous thought profiles align with distinct patterns of functional network integration. Evocative profiles were linked to the integration of self-awareness, executive, and visual networks; vigilant profile to salience and sensorimotor networks integration; and fluctuating profile to executive networks integration. Conversely, visual and verbal-predominant profiles were associated with the segregation of visual and language networks, respectively. Covering the full spectrum of observed spontaneous thought profiles, these findings reconceptualize the resting-state as a dynamic, distributed pattern of FC, varying across individuals and defined by the intricate balance of functional network integration and segregation, rather than a simple 'default mode network.'
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