Evidence map›Paper›PMID 39314397›Full record

ArticlebioRxiv : the preprint server for biology2024

Variation in moment-to-moment brain state engagement changes across development and contributes to individual differences in executive function.

Jean Ye, Link Tejavibulya, Wei Dai, Lora M Cope, Jillian E Hardee, Mary M Heitzeg, Sarah Lichenstein, Sarah W Yip, Tobias Banaschewski, Gareth J Baker and 28 more

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

38 authors.

Jean YeInterdepartmental Neuroscience Program, Yale University, New Haven, Connecticut.
Link TejavibulyaInterdepartmental Neuroscience Program, Yale University, New Haven, Connecticut.
Wei DaiDepartment of Biostatistics, Yale School of Public Health, New Haven, Connecticut.
Lora M CopeDepartment of Psychiatry and Addiction Center, University of Michigan, Ann Arbor, Michigan.
Jillian E HardeeDepartment of Psychiatry and Addiction Center, University of Michigan, Ann Arbor, Michigan.
Mary M HeitzegDepartment of Psychiatry and Addiction Center, University of Michigan, Ann Arbor, Michigan.
Sarah LichensteinDepartment of Psychiatry, Yale School of Medicine, New Haven, Connecticut.
Sarah W YipDepartment of Psychiatry, Yale School of Medicine, New Haven, Connecticut.
Tobias BanaschewskiDepartment of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, 68159 Mannheim, Germany; German Center for Mental Health (DZPG), partner site Mannheim-Heidelberg-Ulm, Germany.
Gareth J BakerDepartment of Neuroimaging, Institute of Psychiatry, Psychology & Neuroscience, King's College London, United Kingdom.
Arun L W BokdeDiscipline of Psychiatry, School of Medicine and Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland.
Rüdiger BrühlPhysikalisch-Technische Bundesanstalt (PTB), Braunschweig and Berlin, Germany.
Sylvane DesrivièresSocial, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, United Kingdom.
Herta FlorInstitute of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, Mannheim, Germany.
Penny GowlandSir Peter Mansfield Imaging Centre School of Physics and Astronomy, University of Nottingham, University Park, Nottingham, United Kingdom.
Antoine GrigisNeuroSpin, CEA, Université Paris-Saclay, F-91191 Gif-sur-Yvette, France.
Andreas HeinzDepartment of Psychiatry and Psychotherapy CCM, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany.
Jean-Luc MartinotInstitut National de la Santé et de la Recherche Médicale, INSERM U A10 "Trajectoires développementales & psychiatrie", University Paris-Saclay, Ecole Normale Supérieure Paris-Saclay, CNRS; Centre Borelli, Gif-sur-Yvette, France.
Marie-Laure Paillère MartinotInstitut National de la Santé et de la Recherche Médicale, INSERM U A10 "Trajectoires développementales & psychiatrie", University Paris-Saclay, Ecole Normale Supérieure Paris-Saclay, CNRS; Centre Borelli, Gif-sur-Yvette, France.
Eric ArtigesInstitut National de la Santé et de la Recherche Médicale, INSERM U A10 "Trajectoires développementales & psychiatrie", University Paris-Saclay, Ecole Normale Supérieure Paris-Saclay, CNRS; Centre Borelli, Gif-sur-Yvette, France.
Frauke NeesDepartment of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, 68159 Mannheim, Germany; German Center for Mental Health (DZPG), partner site Mannheim-Heidelberg-Ulm, Germany.
Dimitri Papadopoulos OrfanosDepartment of Psychology, School of Social Sciences, University of Mannheim, 68131 Mannheim, Germany.
Luise PoustkaDepartment of Child and Adolescent Psychiatry, Center for Psychosocial Medicine, University Hospital Heidelberg, Heidelberg, Germany.
Sarah HohmannDepartment of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, 68159 Mannheim, Germany; German Center for Mental Health (DZPG), partner site Mannheim-Heidelberg-Ulm, Germany.
Nathalie HolzDepartment of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, 68159 Mannheim, Germany; German Center for Mental Health (DZPG), partner site Mannheim-Heidelberg-Ulm, Germany.
Christian BaeuchlDepartment of Psychiatry and Psychotherapy, Technische Universität Dresden, Dresden, Germany.
Michael N SmolkaDepartment of Psychiatry and Psychotherapy, Technische Universität Dresden, Dresden, Germany.
Nilakshi VaidyaCentre for Population Neuroscience and Stratified Medicine (PONS), Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin Berlin, Germany.
Henrik WalterDepartment of Psychiatry and Psychotherapy CCM, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany.
Robert WhelanSchool of Psychology and Global Brain Health Institute, Trinity College Dublin, Ireland.
Gunter SchumannGerman Center for Mental Health (DZPG), site Berlin-Potsdam.
Hugh GaravanDepartment of Psychiatry, University of Vermont, Burlington, Vermont.
Bader ChaaraniDepartment of Psychiatry, University of Vermont, Burlington, Vermont.
Dylan G GeeDepartment of Psychiatry, Yale School of Medicine, New Haven, Connecticut.
Arielle Baskin-SommersDepartment of Psychiatry, Yale School of Medicine, New Haven, Connecticut.
B J CaseyDepartment of Neuroscience and Behavior, Barnard College-Columbia University, New York, New York.
IMAGEN consortium
Dustin ScheinostInterdepartmental Neuroscience Program, Yale University, New Haven, Connecticut.

Funding

Mapping the Human Connectome: Structure, Function, and HeritabilityU54MH091657 · NIMH · WASHINGTON UNIVERSITY · PI UGURBIL, KAMIL, VAN ESSEN, DAVID C · 2010 to 2014
$34.7M
Training U54EB020403 · NIBIB · UNIVERSITY OF SOUTHERN CALIFORNIA · PI THOMPSON, PAUL M · 2014 to 2018
$10.1M
Human Translational Applications Core (HTA - Core) (7 of 8)PL1MH083271 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI BILDER, ROBERT M · 2007 to 2011
$5.8M
Translational Methods/Facilities Core (TMF - Core) (8 of 8)PL1NS062410 · NINDS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI EVANS, CHRISTOPHER J. · 2007 to 2011
$4.6M
A decentralized macro and micro gene-by-environment interaction analysis of substance use behavior and its brain biomarkers R01DA049238 · NIDA · GEORGIA STATE UNIVERSITY · PI CALHOUN, VINCE D, LIU, JINGYU · 2019 to 2023
$2.9M
Translational Models of Memory and Cognitive Control (Component 5 of 8)RL1MH083270 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI JENTSCH, J. DAVID · 2007 to 2011
$2.6M
Whole Genome Assoc. Analysis Strategies for Multi. PhenotypesRL1MH083268 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI FREIMER, NELSON B. · 2007 to 2011
$2.1M
Consortium for Neuropsychiatric Phenomics-Coordinating Center (1 of 8)UL1DE019580 · NIDCR · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI BILDER, ROBERT M · 2008 to 2011
$1.9M
Memory Mechanisms and Mental DisordersRL1MH083269 · NIMH · YALE UNIVERSITY · PI CANNON, TYRONE D · 2007 to 2011
$1.8M
Response Inhibition and Dopamine Neurotransmission (RI) (4 of 8)RL1DA024853 · NIDA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI LONDON, EDYTHE DANICK · 2007 to 2011
$1.7M
Hypothesis Web Development for Neuropsychiatric Phenomics (6 of 8)RL1LM009833 · NLM · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI PARKER, DOUGLASS STOTT · 2007 to 2011
$1.5M
ENIGMA World Aging CenterR56AG058854 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI THOMPSON, PAUL M · 2018 to 2018
$683k
NIA NIH HHS R56 AG058854NIBIB NIH HHS U54 EB020403NIDA NIH HHS R01 DA049238NIDA NIH HHS RL1 DA024853NIDCR NIH HHS UL1 DE019580NIMH NIH HHS PL1 MH083271NIMH NIH HHS RL1 MH083268NIMH NIH HHS RL1 MH083269NIMH NIH HHS RL1 MH083270NIMH NIH HHS U54 MH091657NINDS NIH HHS PL1 NS062410NLM NIH HHS RL1 LM009833
6 · The paper itself

Abstract

Neural variability, or variation in brain signals, facilitates dynamic brain responses to ongoing demands. This flexibility is important during development from childhood to young adulthood, a period characterized by rapid changes in experience. However, little is known about how variability in the engagement of recurring brain states changes during development. Such investigations would require the continuous assessment of multiple brain states concurrently. Here, we leverage a new computational framework to study state engagement variability (SEV) during development. A consistent pattern of SEV changing with age was identified across cross-sectional and longitudinal datasets (N>3000). SEV developmental trajectories stabilize around mid-adolescence, with timing varying by sex and brain state. SEV successfully predicts executive function (EF) in youths from an independent dataset. Worse EF is further linked to alterations in SEV development. These converging findings suggest SEV changes over development, allowing individuals to flexibly recruit various brain states to meet evolving needs.

Identifiers

PMID39314397
PMCPMC11419067

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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.