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Record W6910738826 · doi:10.48448/nyrq-4j17

Stress in adolescence alters guidance cue pathways and impacts dopamine development

2021· other· en· W6910738826 on OpenAlexaboutno aff

Bibliographic record

VenueUnderline Science Inc. · 2021
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsDopaminePrefrontal cortexMidbrainAdolescent developmentSocial defeatCognitionBrain developmentPeriod (music)Social stress

Abstract

fetched live from OpenAlex

Authors: Cecilia Flores¹ ¹McGill University Abstract: Dopamine (DA) connectivity in the prefrontal cortex (PFC) continues to unfold until early adulthood, with dramatic organizational and functional changes occurring during adolescence. This delayed development involves long-distance axonal growth of midbrain DA neurons across the adolescent period and is mediated by the Netrin-1/DCC guidance cue pathway. We examined whether repeated social stress in adolescence dysregulates the Netrin-1/DCC pathway, disrupting PFC DA innervation and cognitive control in adulthood. We used a modified accelerated social defeat stress (ASD) model and segregated mice into resilient (RES) and susceptible (SUS) groups by measuring social avoidance in a social interaction test (SIT) 24h after ASD exposure. ASD in adolescence downregulates DCC expression in DA neurons in SUS and RES groups, but its effects on PFC DA development and behavior differ between phenotypes. ASD-induced molecular, cellular and behavioral changes are not observed following ASD exposure in adulthood. While most (~60%) mice exposed to adolescent ASD show RES, most adult mice show stress SUS. Alterations in dopamine development in adolescence may mediate the established link between genetic variance within the Netrin-1/DCC pathway and psychiatric disorders of neurodevelopmental origin.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.006
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.001

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 head0.029
GPT teacher head0.285
Teacher spread0.255 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2021
Admission routes1
Has abstractyes

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