Implantation of human pedunculopontine nucleus: a safe and clinically relevant target in Parkinson's disease
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Bibliographic record
Abstract
The peduncolopontine nucleus modulates locomotor activity and dysfunction in this nucleus may be responsible for the gait and postural impairments seen in Parkinson's disease and other movement disorders. We report the first surgical exploration and implantation of deep brain stimulating electrodes of the peduncolopontine nucleus area in two Parkinson's disease patients to examine the safety and the potential benefit of chronic electrical stimulation at this site. Under local anesthesia, the peduncolopontine nucleus was approached from a coronal burr hole using a trajectory that was 78-80 degrees and 62-64 degrees on the coronal and sagittal planes. Microrecordings helped to identify neurons in peduncolopontine nucleus and the adjacent substantia nigra pars reticulata. Chronic deep brain stimulating electrodes were implanted within the peduncolopontine nucleus in a manner similar to that practiced with deep brain stimulating surgery at other targets. Peduncolopontine nucleus neurons were characterized by small and broad multiunits (230 muV, 2.5 ms, 14.6 Hz). Caudal to this area, neurons firing at higher frequency, approximately 70 Hz, characteristic of nigral neuronal discharges, were encountered, followed by 2 mm of cells similar to those recorded in the dorsal peduncolopontine nucleus area. After deep brain stimulating electrodes implantation, acute intraoperative stimulation (up to 3 V) was performed with two stimulation frequencies in each session. Stimulation at 80 Hz has little discernable effect. On the other hand, stimulation at 10 Hz fostered a subjective feeling of 'well-being' and a time-locked amelioration of the clinical scores. These findings demonstrate that the stereotactic approach of peduncolopontine nucleus is safe. The target may reliably be identified by microrecordings. Low-frequency stimulation may produce acute improvements in motor function.
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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 it