Implantation of human pedunculopontine nucleus: a safe and clinically relevant target in Parkinson's disease
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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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) | 0.001 | 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".