GABA<sub>B</sub> receptor agonists reverse akinesia following intranigral or intracerebroventricular injection in the reserpine‐treated rat
Bibliographic record
Abstract
1. This study examined whether GABA(B) receptor agonists injected directly into the substantia nigra pars reticulata (SNr) and globus pallidus (GP), or given intracerebroventricularly, could reverse reserpine-induced akinesia in the rat. 2. Male Sprague-Dawley rats, stereotaxically cannulated above the SNr, GP or third ventricle, were rendered akinetic by injection of reserpine (5 mg kg(-1) s.c.). After 18 h, the locomotor effects of the GABA(B) receptor agonists, baclofen or SKF 97541 were examined. 3. Unilateral injection of baclofen (1-5 micro g in 0.5 micro l) into the GP failed to evoke any locomotor response (n=6). In contrast, unilateral intranigral injection of baclofen (0.08-1.6 micro g in 0.5 micro l) produced a dose-dependent increase in net contraversive rotations reaching a maximum of 162+/-24 turns 90 min(-1) (n=6-8). Pretreatment with the selective GABA(B) receptor antagonist, CGP 46381 (2.4 micro g in 0.5 micro l), inhibited the effects of baclofen (0.8 micro g) by 68+/-9% (n=6). 4. Following intracerebroventricular injection, baclofen (0.8-4 micro g in 2 micro l) produced a dose-dependent increase in net arbitrary locomotor units (ALUs), reaching a maximum of 447+/-154 ALUs in 35 min (n=6-7). SKF 97541 (4-32 micro g in 2 micro l) similarly reversed akinesia, reaching 129+/-69 ALUs in 15 min (n=6). 5. These data show that activation of GABA(B) receptors within the SNr, but not the GP, reverses reserpine-induced akinesia. The success of intracerebroventricular injection of baclofen suggests a potential for systemically active GABA(B) receptor agonists in the treatment of akinesia in Parkinson's disease.
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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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".