Intrapallidal injection of botulinum toxin A recovers gait deficits in a parkinsonian rodent model
Bibliographic record
Abstract
AIM: Modulation of electrical activity in the subthalamic nucleus has been therapeutically effective in Parkinson's disease. Pharmacological manipulation of glutamate release from subthalamic neurons could also favourably alter basal ganglia activity to improve motor symptoms. This study investigates the efficacy of selective suppression of hyperactive glutamatergic input from the subthalamic nucleus to the globus pallidus internal segment by botulinum toxin A (BoNT-A) in a parkinsonian model. METHODS: Unilateral 6-hydroxydopamine lesioned parkinsonian rodents and controls received microinfusions of BoNT-A or vehicle into the ipsilateral internal globus pallidus (n = 8 per group). Changes in gait were measured by the CatWalk apparatus, along with assessment of apomorphine-induced rotational behaviour prior to and following BoNT-A injection. Immunofluorescent staining for markers of glutamatergic, GABAergic and total terminals was performed at the internal globus pallidus. RESULTS: Administration of a single dose of BoNT-A (0.5 ng) significantly improved the rotational asymmetry and gait abnormalities. Ameliorations in speed, body speed variation, cadence and walking pattern were comparable to pre-lesioned animals, and persisted up to 1 month following BoNT-A injection. These changes are associated to BoNT-A's ability to selectively target glutamatergic terminals. CONCLUSION: Blockade of subthalamic hyperactivity by BoNT-A leads to sufficient reorganization in the basal ganglia needed to generate a consistent rhythmic pattern of walking. This suggests the potential use of intracerebral BoNT-A to produce effective neuromodulation in the parkinsonian brain, as well as expansion into other neurodegenerative disorders linked to excitotoxity.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".