A golgi analysis of cortical pyramidal cells in the unilateral parkinson rat: Absence of change in the affected hemisphere vs hypertrophy in the intact hemisphere
Bibliographic record
Abstract
PURPOSE: Unilateral dopamine (DA) depletion in the rat provides an analog of human Parkinson's disease. The classic view of DA loss is that it produces changes in the activity of striatal-cortical circuitry that results in reduced frontal cortex neural activity. This "functional deafferent" view is consistent with findings that animals display sensorimotor deficits in the contralateral-to-lesion side of the body and compensatory behavior adjustments in the ipsilateral-to-lesion side of the body. The present study examined how DA depletion and the associated sensorimotor changes affect the morphology of the ipsilateral or contralateral neocortex neurons as assessed by dendritic morphology in Golgi-stained tissue. METHOD: Rats were given unilateral 6-hydroxydopamine (6-OHDA) or sham lesions in the nigrostriatal bundle. Lesion success was confirmed by enduring bilateral motor impairments in a skilled-reaching task, compensatory use of the ipsilateral-to-lesion limbs, and by increases in amphetamine and apomorphine-induced rotational behavior. RESULTS: Brains processed for Golgi-Cox staining at 1, 3, 8, or 24 months after the lesion showed no changes in dendritic arborization or synapse number in layer V pyramidal cells of motor cortex ipsilateral to the 6-OHDA lesion (DA-depleted hemisphere) at any postsurgical recovery stage. There was an increase in dendritic arborization in all lesion groups in the hemisphere contralateral to the lesion (good hemisphere). CONCLUSION: The results are inconsistent with the classical view of frontal cortex functional deafferentiation due to DA loss but do suggest that compensatory behavior leads to dendritic hypertrophy in the good hemisphere.
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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 | 0.001 | 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) | 0.002 | 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".