Evidence map›Paper›PMID 39316635›Full record

ArticlePLoS biology2024

Human brain state dynamics are highly reproducible and associated with neural and behavioral features.

Kangjoo Lee, Jie Lisa Ji, Clara Fonteneau, Lucie Berkovitch, Masih Rahmati, Lining Pan, Grega Repovš, John H Krystal, John D Murray, Alan Anticevic

Abstract read
In one paragraph

Article in PLoS biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Trial
  2. Sharp and smooth state transitions during resting state brain dynamics.bioRxiv : the preprint server for biology · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
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  11. Article
  12. Article
  13. Switching Patterns of Cortical-Subcortical Interaction in the Human Brain.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  14. Article
  15. Article
  16. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Kangjoo LeeDepartment of Psychiatry, Yale University School of Medicine, New Haven, Connecticut, United States of America.ORCID 0000-0002-7760-8079
Jie Lisa JiDepartment of Psychiatry, Yale University School of Medicine, New Haven, Connecticut, United States of America.ORCID 0000-0002-6280-9070
Clara FonteneauDepartment of Psychiatry, Yale University School of Medicine, New Haven, Connecticut, United States of America.ORCID 0000-0003-2808-3867
Lucie BerkovitchDepartment of Psychiatry, Yale University School of Medicine, New Haven, Connecticut, United States of America.
Masih RahmatiDepartment of Psychiatry, Yale University School of Medicine, New Haven, Connecticut, United States of America.
Lining PanDepartment of Psychiatry, Yale University School of Medicine, New Haven, Connecticut, United States of America.
Grega RepovšDepartment of Psychology, University of Ljubljana, Ljubljana, Slovenia.ORCID 0000-0003-1837-3879
John H KrystalDepartment of Psychiatry, Yale University School of Medicine, New Haven, Connecticut, United States of America.
John D MurrayDepartment of Psychiatry, Yale University School of Medicine, New Haven, Connecticut, United States of America.ORCID 0000-0003-4115-8181
Alan AnticevicDepartment of Psychiatry, Yale University School of Medicine, New Haven, Connecticut, United States of America.

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Translational Technologies CoreP50AA012870 · NIAAA · YALE UNIVERSITY · PI John H. Krystal · 2001 to 2026
$43.7M
Project 5: ComputationalP50MH109429 · NIMH · NATHAN S. KLINE INSTITUTE FOR PSYCH RES · PI Michael Peter Milham · 2017 to 2026
$25.3M
A Translational and Neurocomputational Evaluation of a D1R Partial Agonist for SchizophreniaU01MH121766 · NIMH · YALE UNIVERSITY · PI KRYSTAL, JOHN H. · 2019 to 2022
$11.8M
NCATS NIH HHS UL1 TR001863NIAAA NIH HHS P50 AA012870NIMH NIH HHS P50 MH109429NIMH NIH HHS U01 MH121766
6 · The paper itself

Abstract

Neural activity and behavior vary within an individual (states) and between individuals (traits). However, the mapping of state-trait neural variation to behavior is not well understood. To address this gap, we quantify moment-to-moment changes in brain-wide co-activation patterns derived from resting-state functional magnetic resonance imaging. In healthy young adults, we identify reproducible spatiotemporal features of co-activation patterns at the single-subject level. We demonstrate that a joint analysis of state-trait neural variations and feature reduction reveal general motifs of individual differences, encompassing state-specific and general neural features that exhibit day-to-day variability. The principal neural variations co-vary with the principal variations of behavioral phenotypes, highlighting cognitive function, emotion regulation, alcohol and substance use. Person-specific probability of occupying a particular co-activation pattern is reproducible and associated with neural and behavioral features. This combined analysis of state-trait variations holds promise for developing reproducible neuroimaging markers of individual life functional outcome.

Indexed as

BrainMagnetic Resonance ImagingAdultBehaviorBrain MappingCognitionFemaleHumansMaleReproducibility of ResultsYoung Adult

Identifiers

PMID39316635
PMCPMC11421804

What Socratic holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

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 Socratic graph.