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Record W2125088168 · doi:10.1073/pnas.1834271100

Amphetamine or cocaine limits the ability of later experience to promote structural plasticity in the neocortex and nucleus accumbens

2003· article· en· W2125088168 on OpenAlexaff
Bryan Kolb, Grazyna Gorny, Yilin Li, Anne‐Noël Samaha, Terry E. Robinson

Bibliographic record

VenueProceedings of the National Academy of Sciences · 2003
Typearticle
Languageen
FieldNeuroscience
TopicNeuroscience and Neuropharmacology Research
Canadian institutionsUniversity of Lethbridge
FundersNational Institute on Drug Abuse
KeywordsNucleus accumbensNeocortexAmphetamineDendritic spineNeuroscienceMedium spiny neuronPsychologyStimulantNeuroplasticityNicotineCentral nervous systemBasal gangliaDopaminePsychiatryHippocampal formation

Abstract

fetched live from OpenAlex

Drugs of abuse and many other kinds of experiences share the ability to alter the morphology of neuronal dendrites and spines, the primary site of excitatory synapses in the brain. We hypothesized, therefore, that exposure to psychostimulant drugs might influence later experience-dependent structural plasticity. We tested this hypothesis by treating rats repeatedly with amphetamine or cocaine and then housing them in either a complex environment or standard laboratory cages for 3-3.5 mo. The brains were processed for Golgi-Cox staining, and the number of dendritic branches and the density of dendritic spines on medium spiny neurons in the nucleus accumbens and pyramidal cells in the parietal cortex were quantified. On most measures, prior treatment with amphetamine or cocaine interfered with the ability of experience in a complex environment to increase dendritic arborization and spine density. We conclude that in some brain regions, repeated exposure to psychomotor-stimulant drugs limits the ability of later experience to produce this form of synaptic plasticity, which may contribute to the persistent behavioral and cognitive deficits associated with drug abuse.

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)0.001
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.160
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.003
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.116
GPT teacher head0.393
Teacher spread0.278 · 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 designBench or experimental
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

Citations208
Published2003
Admission routes1
Has abstractyes

Explore more

Same venueProceedings of the National Academy of SciencesSame topicNeuroscience and Neuropharmacology ResearchFrench-language works237,207