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Back to the future: Linking early psychiatric symptoms to transdiagnostic cognitive functioning in at-risk youth from the adolescent brain cognitive development study

2025· article· en· W4417164321 on OpenAlexaff
C.-Y. Wang, Delphine Raucher‐Chéné, Katie M. Lavigne

Bibliographic record

VenueJournal of Psychiatric Research · 2025
Typearticle
Languageen
FieldMedicine
TopicSchizophrenia research and treatment
Canadian institutionsMcGill UniversityDouglas Mental Health University Institute
FundersNational Institutes of Health
KeywordsCognitionPsychosisAssociation (psychology)Cognitive skillExecutive functionsSchizophrenia (object-oriented programming)Mental illnessIntervention (counseling)

Abstract

fetched live from OpenAlex

Cognitive impairment (problems in thinking, learning, remembering, judging, and decision-making) is central to many psychiatric disorders and may often appear well before the symptom onset. Given the moderate heritability of psychiatric disorders, children with first-degree relatives affected by severe mental illness are at higher risk and may show early psychiatric symptoms. Our study explored the potential association between cognitive functioning and early subsyndromal transdiagnostic psychiatric symptoms in at-risk youth. We compared 924 at-risk youth (aged nine to ten) with 924 matched controls from the Adolescent Brain Cognitive Development (ABCD) study. At-risk youth performed worse than controls in episodic memory, executive function, and working memory and exhibited more psychiatric symptoms (i.e., emotional dysfunction, psychosis and externalizing symptoms) than controls. Multivariate partial least squares in at-risk youth revealed a pattern linking heightened psychiatric symptoms with reduced cognitive performance across all domains except executive function, driven primarily by memory and language abilities, suggesting the well-established link between cognitive dysfunction and psychiatric symptoms is already present in at-risk youth, even prior to manifestation of clinically meaningful levels of cognitive impairment or psychiatric symptoms. Such an association could potentially guide prediction, prevention and early intervention for children who are at risk of developing mental illness later in life.

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)0.005
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesResearch integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.075
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.005
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
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 head0.036
GPT teacher head0.360
Teacher spread0.324 · 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.

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

Citations0
Published2025
Admission routes1
Has abstractyes

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