Bibliographic record
Abstract
The association between impulsivity and addiction is currently a topic of intense research interest. Investigations into the neurobiological basis of aspects of impulse control have revealed some striking parallels between the brain circuitry and neurochemical systems implicated in drug dependence and impulsive behavior. Both processes are heavily regulated by limbic corticostriatal circuits including the orbitofrontal cortex (OFC) and nucleus accumbens (NAC), and are modulated by dopamine (DA) and serotonin (5-HT). Hypoactivity within the OFC has been observed in recently abstinent cocaine users, and this is thought to contribute to the cognitive deficits associated with drug abuse, including impairments in impulse control. However, the neurobiological mechanisms underlying these functional and behavioral deficits are unclear. In parallel to observations made in the NAC, recent data indicate that chronic cocaine use also induces the transcription factor DeltaFosB in the OFC and that this plays a role in the cognitive sequelae of chronic cocaine administration. In particular, DeltaFosB appears to be involved in the development of tolerance to the disruptive effects of acute cocaine on impulsivity and motivation observed after repeated cocaine administration. Increased DeltaFosB also contributes to increased impulsivity during withdrawal from the drug. Both effects could be attributed to the up-regulation of local inhibitory processes in the OFC after over-expression of DeltaFosB and chronic cocaine treatment. Through integrating what is known of the interaction between addictive drugs and impulsivity at the neural, neurochemical, and molecular level, novel insight may be obtained into the multi-faceted regulation of the addicted state.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".