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Record W4414003823 · doi:10.1139/jpn.0719

Electroconvulsive shock enhances striatal dopamine D<sub>1</sub> and D<sub>3</sub> receptor binding and improves motor performance in 6-OHDA-lesioned rats

2007· article· en· W4414003823 on OpenAlexaffvenue
Elissa M. Strome, Athanasios P. Zis, Doris J. Doudet

Bibliographic record

VenueJournal of Psychiatry and Neuroscience · 2007
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPharmacological Receptor Mechanisms and Effects
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsDopamineNeurosciencePsychologyMedicine

Abstract

fetched live from OpenAlex

Objective: Electroconvulsive therapy (ECT) is a widely used and effective treatment for mood disorders and appears to have positive effects on the motor symptoms of Parkinson’s disease (PD), improving motor function for several weeks. Because repeated electroconvulsive shock (ECS) in normal animals enhances striatal dopamine (DA) D 1 and D 3 receptor binding, we hypothesized that upregulation of D 1 and D 3 receptors may also be occurring in the parkinsonian brain after repeated ECS treatment. Methods: Rats were rendered hemiparkinsonian through unilateral infusion of the DA-specific neurotoxin 6-hydroxydopamine into the medial forebrain bundle and substantia nigra. The animals were tested for hindlimb and forelimb function before and 48 hours after the last of 10 daily treatments with ECS or sham. After sacrifice, DA receptor binding was determined autoradiographically. Results: While there was no increase in forelimb use in the cylinder test, ECS treatment significantly improved hindlimb motor performance on a tapered beam-walking test and enhanced striatal D 1 and D 3 receptor binding, without affecting D 2 receptor binding. Conclusion: This study suggests that at least part of the mechanism of action of ECT in PD may be enhanced DA function within the direct pathway of the basal ganglia and may support the further study and use of ECT as a potential adjunct treatment for PD.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.029
Threshold uncertainty score0.637

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0000.000

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 head0.008
GPT teacher head0.251
Teacher spread0.243 · 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 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

Citations0
Published2007
Admission routes2
Has abstractyes

Explore more

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