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Record W4401045938 · doi:10.1016/j.cobeha.2024.101435

Dynamic Insights into Dopamine Axon Growth in Adolescence and its Implications for Psychiatric Risk

2024· article· en· W4401045938 on OpenAlexafffund
Radu G. Avramescu, Tanya Capolicchio, Cecilia Flores

Bibliographic record

VenueCurrent Opinion in Behavioral Sciences · 2024
Typearticle
Languageen
FieldNeuroscience
TopicAxon Guidance and Neuronal Signaling
Canadian institutionsMcGill UniversityDouglas Mental Health University Institute
FundersNational Institute on Drug AbuseNatural Sciences and Engineering Research Council of CanadaCanadian Institutes of Health ResearchNational Institutes of Health
KeywordsDopamineDopaminergicNeurosciencePsychologyNetrinAxonAxon guidanceAddictionReward system

Abstract

fetched live from OpenAlex

Adolescence and the development of the dopaminergic system have long been shown to be inextricably linked. Common adolescent experiences, such as substance exposure and stress, can alter dopamine axon growth and influence behavior in adulthood. Additionally, the Netrin-1/DCC (Deleted in Colorectal Cancer) guidance cue system is implicated in regulating dopamine axon growth during adolescence. Here, we summarize the literature into the pivotal role of adolescence in animal development, with a specific focus on the maturation process of the mesocorticolimbic dopamine system. We outline the diverse structure of this system, recent findings on axonal targeting and pathfinding processes during adolescence, as well as the implications of this research for psychiatric pathology. We argue that the current body of research suggests a link between delayed dopamine axon growth and adolescent neuroplasticity, providing insights into the incidence of psychiatric disorders during this critical developmental period.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.114
GPT teacher head0.415
Teacher spread0.301 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations8
Published2024
Admission routes2
Has abstractyes

Explore more

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