Evidence map›Paper›PMID 42649254›Full record

ArticleNature human behaviour2026

Ongoing thoughts at rest reflect functional brain organization and behaviour.

Jin Ke, Taylor A Chamberlain, Hayoung Song, Anna Corriveau, Ziwei Zhang, Taysha Martinez, Laura Sams, Marvin M Chun, Yuan Chang Leong, Monica D Rosenberg

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Article in Nature human behaviour, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Jin KeDepartment of Psychology, Yale University, New Haven, CT, USA. jin.ke@yale.edu.ORCID http://orcid.org/0000-0002-5265-3105
Taylor A ChamberlainDepartment of Psychology, Columbia University, New York, NY, USA.
Hayoung SongDepartment of Psychology, The University of Chicago, Chicago, IL, USA.ORCID http://orcid.org/0000-0002-5970-8076
Anna CorriveauDepartment of Psychology, The University of Chicago, Chicago, IL, USA.
Ziwei ZhangDepartment of Psychology, The University of Chicago, Chicago, IL, USA.ORCID http://orcid.org/0000-0001-5720-3552
Taysha MartinezDepartment of Psychology, The University of Chicago, Chicago, IL, USA.
Laura SamsDepartment of Psychology, The University of Chicago, Chicago, IL, USA.ORCID http://orcid.org/0009-0000-5958-4926
Marvin M ChunDepartment of Psychology, Yale University, New Haven, CT, USA.ORCID http://orcid.org/0000-0003-1070-7993
Yuan Chang LeongDepartment of Psychology, The University of Chicago, Chicago, IL, USA.ORCID http://orcid.org/0000-0003-2499-2393
Monica D RosenbergDepartment of Psychology, The University of Chicago, Chicago, IL, USA. mdrosenberg@uchicago.edu.ORCID http://orcid.org/0000-0001-6179-4025

Funding

National Science Foundation (NSF) BCS-2043740United States Department of Defense | United States Navy | Office of Naval Research (ONR) MURI N00014-23-1-2768
6 · The paper itself

Abstract

Resting-state functional connectivity (rsFC)-brain connectivity observed when people rest with no external tasks-predicts individual differences in behaviour. Yet, rest is not idle; it involves streams of thoughts. Are these ongoing thoughts reflected in FC and do they contribute to the relationship between rsFC and behaviour? Here, to test this question, we used an annotated rest paradigm where participants rated and verbally described their thoughts after each rest period during functional MRI (N = 60). Our findings revealed rich and idiosyncratic thoughts across individuals. Similarity in thoughts was associated with more similar FC patterns within and across individuals. In addition, both thought ratings and topics could be decoded from FC. Furthermore, neuromarkers of these thoughts generalized to unseen individuals in the Human Connectome Project dataset (N = 908), where decoded thought patterns during rest predicted positive vs negative trait-level individual differences. Together, our findings reveal that ongoing thoughts at rest are reflected in brain dynamics and these network patterns predict everyday cognition and experiences. Understanding subjective in-scanner experiences is thus crucial in characterizing the relationship between individual differences in functional brain organization and behaviour.

Identifiers

PMID42649254

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.