Levodopa enhances synaptic plasticity in the substantia nigra pars reticulata of Parkinson's disease patients
Bibliographic record
Abstract
Parkinson's disease, caused by the loss of dopaminergic nigrostriatal projections, is a debilitating neurodegenerative disease characterized by bradykinesia, rigidity, tremor and postural instability. The dopamine precursor levodopa (L-dopa) is the most effective treatment for the amelioration of Parkinson's disease signs and symptoms, but long-term administration can lead to disabling motor fluctuations and L-dopa -induced dyskinesias (LIDs). Studies in rat striatal slices have shown dopamine to be an essential component of activity-dependent synaptic plasticity at the input to the basal ganglia, but dopamine is also released from ventrally projecting dendrites of the substantia nigra pars compacta (SNc) on the substantia nigra pars reticulata (SNr), a major output structure of the basal ganglia. We characterized synaptic plasticity in the SNr using field potentials evoked with a nearby microelectrode (fEPs), in 18 Parkinson's disease patients undergoing implantation of deep brain stimulating (DBS) electrodes in the subthalamic nucleus (STN). High frequency stimulation (HFS--four trains of 2 s at 100 Hz) in the SNr failed to induce a lasting change in test fEPs (1 Hz) amplitudes in patients OFF medication (decayed to baseline by 160 s). Following oral L-dopa administration, HFS induced a potentiation of the fEP amplitudes (+29.3% of baseline at 160 s following a plateau). Our findings suggest that extrastriatal dopamine modulates activity-dependent synaptic plasticity at basal ganglia output neurons. Dopamine medication state clearly impacts fEP amplitude, and the lasting nature of the increase is reminiscent of LTP-like changes, indicating that aberrant synaptic plasticity may play a role in the pathophysiology of Parkinson's disease.
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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".