Effects of Treadmill Exercise on Spontaneous Firing Activities of Striatal Neurons in a Rat Model of Parkinson’s Disease
Bibliographic record
Abstract
Exercise improves motor deficits in Parkinson's disease (PD) patients but the underlying neuronal mechanism is poorly understood. Since the striatum is critical to motor function, we have investigated the potential effects of exercise on the spiking activity of the striatal neurons in a rat model of Parkinson's disease. Twenty-four hours after injection of 6-hydroxydopamine (6-OHDA) into the right medial forebrain bundle, rats in exercise groups were trained to exercise on a treadmill. Twenty-eight days after 6-OHDA lesion, apomorphine induced fewer rotations in the PD rats with exercise than in PD + Ex rats. Anatomical examination indicates that compared with the PD rats, PD + Ex rats had an attenuated loss of dopamine axonal fibers in the striatum and dopamine neurons in the substantia nigra pars. Equally important, the abnormal burst firing and firing rates in striatal neurons were lower in the PD + Ex rats than in the PD rats. Taken together, our results suggest that exercise has neuroprotective effects that can reduce the degeneration of the nigrostriatal dopamine system and minimize the abnormal neuronal spike firing in parkinsonian striatum, potentially contributing to exercise's motor-improving effects in PD.
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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) | 0.001 | 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".