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Increased error‐related negativity (ERN) in childhood anxiety disorders: ERP and source localization

2006· article· en· W2110178176 on OpenAlexfundno aff
Cecile D. Ladouceur, Ronald E. Dahl, Boris Birmaher, David Axelson, Neal D. Ryan

Bibliographic record

VenueJournal of Child Psychology and Psychiatry · 2006
Typearticle
Languageen
FieldNeuroscience
TopicNeural and Behavioral Psychology Studies
Canadian institutionsnot available
FundersNational Institute of Mental HealthCanadian Institutes of Health Research
KeywordsError-related negativityAnterior cingulate cortexAnxietyPsychologyNegativity effectEvent-related potentialAudiologyAnxiety disorderElectroencephalographyNeural correlates of consciousnessDevelopmental psychologyClinical psychologyCognitionNeurosciencePsychiatryMedicine

Abstract

fetched live from OpenAlex

BACKGROUND: In this study we used event-related potentials (ERPs) and source localization analyses to track the time course of neural activity underlying response monitoring in children diagnosed with an anxiety disorder compared to age-matched low-risk normal controls. METHODS: High-density ERPs were examined following errors on a flanker task from 12 children between 8 and 14 years old diagnosed with an anxiety disorder (ANX) and 13 age-matched low-risk normal controls (LRNC). RESULTS: Children diagnosed with an anxiety disorder had increased error-related negativity (ERN) amplitude. The neural generators of the ERN in the ANX group were estimated to be localized in the anterior cingulate cortex (ACC). There were no significant group differences in P(E) amplitude. CONCLUSIONS: These data provide evidence for increased ERN amplitude localized to the ACC in children diagnosed with an anxiety disorder, suggesting altered maturational patterns of the ACC circuitry early in the course of this illness.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.022
Threshold uncertainty score0.771

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.017
GPT teacher head0.300
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

Citations191
Published2006
Admission routes1
Has abstractyes

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