<scp>Single‐Trajectory Multiple‐Target</scp> Deep Brain Stimulation for Parkinsonian Mobility and Cognition
Bibliographic record
Abstract
BACKGROUND: Deep brain stimulation (DBS) of the nucleus basalis of Meynert (NBM) is an emerging target to potentially treat cognitive dysfunction. OBJECTIVES: The aim of this study is to achieve feasibility and safety of globus pallidus pars interna (GPi) and NBM DBS in advanced PD with cognitive impairment. METHODS: We performed a phase-II double-blind crossover pilot trial in six participants to assess safety and cognitive measures, the acute effect of NBM stimulation on attention, motor and neuropsychological data at one year, and neuroimaging biomarkers of NBM stimulation. RESULTS: NBM DBS was well tolerated but did not improve cognition. GPi DBS improved dyskinesia and motor fluctuations (P = 0.04) at one year. NBM stimulation was associated with reduced right frontal and parietal glucose metabolism (P < 0.01) and increased low- and high-frequency power and functional connectivity. Volume of tissue activated in the left NBM was associated with stable cognition (P < 0.05). CONCLUSIONS: Simultaneous GPi and NBM stimulation is safe and improves motor complications. NBM stimulation altered neuroimaging biomarkers but without lasting cognitive improvement. © 2021 International Parkinson and Movement Disorder Society.
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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 | 0.000 | 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) | 0.004 | 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".