Cognitive Function Assessment post Subthalamic Nucleus Deep Brain Stimulation in Patients with Parkinson’s Disease
Bibliographic record
Abstract
Background:Parkinson disease (PD) is the 2nd most common neurodegenerative disorder affecting more than 6 million people allover the world. Cognitive impairment occur with variable onset during the course of disease. Surgical treatment of PD used for patients who, despite optimal medical treatment, experience motor complications, common surgical treatment is deep brain stimulation (DBS), which targets the subthalamic nucleus, globus pallidus internus, or ventral intermediate nucleus of the thalamus, but it may also cause complication as general medical complication and neurological complication.The aim of study:To assess the risk of cognitive decline post subthalamic neuclus-deep brain stimulation in patients with Parkinson disease.The patients and method:A prospective interventional study involved 14 patients with Parkinson’s disease, this study was done at Baghdad in medical science of neurology hospital, in a period from June 2022 till December 2022.Results:A 14 patients were included, the age was ranging between (55-75) years males were (8) patients while females were (6), the patients with PD, Montreal cognitive assessment test was done pre and post subthalamic neuclus-deep brain stimulation and we found significant differences between baseline and post-surgical evaluations in terms of language score verbal fluency and there is no significant difference between baseline and post-surgical assessments among other different cognitive domains of Montreal cognitive assessment test scoring. Also, the result of this study shows positive correlation and non-significant differences betweenLanguage score verbal fluency with age group, education, duration of disease, and Hohen and Yaher score. While, there’s negative correlation and significant association with gender.Conclusion:Bilateral subthalamic neuclus-deep brain stimulation for patients with Parkinson disease do not lead to a significant fall in cognitive function apart from impairment in verbal fluency.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".