MétaCan
Menu
Back to cohort
Record W4386033546 · doi:10.1038/s41593-023-01410-8

A stable and replicable neural signature of lifespan adversity in the adult brain

2023· article· en· W4386033546 on OpenAlexaff
Nathalie Holz, Mariam Zabihi, Seyed Mostafa Kia, Maximillian Monninger, Pascal-M. Aggensteiner, Sebastian Siehl, Dorothea L. Floris, Arun L.W. Bokde, Sylvane Desrivières, Herta Flor, Antoine Grigis, Hugh Garavan, Penny Gowland, Andreas Heinz, Rüdiger Brühl, Jean‐Luc Martinot, Marie‐Laure Paillère Martinot, Dimitri Papadopoulos Orfanos, Tomáš Paus, Luise Poustka, Juliane H. Fröhner, Michael N. Smolka, Nilakshi Vaidya, Henrik Walter, Robert Whelan, Günter Schumann, Andreas Meyer‐Lindenberg, Daniel Brandeis, Jan K. Buitelaar, Frauke Nees, Christian F. Beckmann, Tobias Banaschewski, André F. Marquand

Bibliographic record

VenueNature Neuroscience · 2023
Typearticle
Languageen
FieldPsychology
TopicChild Abuse and Trauma
Canadian institutionsUniversité de MontréalCentre Hospitalier Universitaire Sainte-JustineUniversity of Toronto
FundersNational Institute of Biomedical Imaging and BioengineeringNational Institute on Drug AbuseFondation pour la Recherche MédicaleHorizon 2020 Framework ProgrammeNational Institute of Mental HealthNational Institute for Health and Care ResearchNational Institute on AgingFédération pour la Recherche sur le CerveauNational Natural Science Foundation of ChinaInstitut National de la Santé et de la Recherche MédicaleNederlandse Organisatie voor Wetenschappelijk OnderzoekFondation de l'Avenir pour la Recherche Médicale AppliquéeWellcome TrustAgence Nationale de la RechercheMission Interministérielle de Lutte Contre les Drogues et les Conduites AddictivesScience Foundation IrelandMedical Research CouncilUniversität HeidelbergEuropean CommissionDeutsche ForschungsgemeinschaftKing's College LondonFondation de FranceBundesministerium für Bildung und ForschungSouth London and Maudsley NHS Foundation TrustNational Institutes of Health
KeywordsPsychologyPsychopathologyBrain sizeAnxietyBrain morphometryBrain Structure and FunctionAssociation (psychology)NeuroimagingDevelopmental psychologyNormativeCohortNeuroscienceNeural correlates of consciousnessClinical psychologyVentral striatumCognitionPsychiatryStriatumMedicinePathology

Abstract

fetched live from OpenAlex

Environmental adversities constitute potent risk factors for psychiatric disorders. Evidence suggests the brain adapts to adversity, possibly in an adversity-type and region-specific manner. However, the long-term effects of adversity on brain structure and the association of individual neurobiological heterogeneity with behavior have yet to be elucidated. Here we estimated normative models of structural brain development based on a lifespan adversity profile in a longitudinal at-risk cohort aged 25 years (n = 169). This revealed widespread morphometric changes in the brain, with partially adversity-specific features. This pattern was replicated at the age of 33 years (n = 114) and in an independent sample at 22 years (n = 115). At the individual level, greater volume contractions relative to the model were predictive of future anxiety. We show a stable neurobiological signature of adversity that persists into adulthood and emphasize the importance of considering individual-level rather than group-level predictions to explain emerging psychopathology.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.685
Threshold uncertainty score0.342

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.016
GPT teacher head0.299
Teacher spread0.283 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations63
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueNature NeuroscienceSame topicChild Abuse and TraumaFrench-language works237,207