Comparison of Apathy and Cognitive Symptoms in Pre- and Postoperative Period in Deep Brain Stimulation Surgery
Bibliographic record
Abstract
Background: The aim of the study was to investigatie apathy and cognitive functions in Parkinson’s disease patients who underwent deep brain stimulation surgery on bilateral subthalamic nuclei. Methods: This study included 18 patients with Parkinson’s disease who were accommodated in the Parkinson’s and Movement Disorders Center of Adana City Training and Research Hospital for treatment in 2022. Patients were evaluated by psychiatry, neurology and neurosurgery specialists with a multidisciplinary approach and found to be surgically appropriate. Standardized Mini-Mental Test and Montreal Cognitive Assessment Scale, Apathy Evaluation Scale, and Hamilton Anxiety and Depression Scale were administered to each patient before the operation and at 6 months after effective stimulation parameters were reached. Results: The mean apathy score at the preoperative zeroth month was 47.77 ± 15.83 in patients having deep brain stimulation surgery and 30.83 ± 13.59 in the postoperative sixth month. Statistically that reduction was significant (P = .003) and showed clinical development. The average Hamilton Anxiety Scale scores at the preoperative zeroth month was 11.50 ± 5.14 and 10.22 ± 5.57 at the postoperative sixth month, with no clinical significance (P = .280). The determined value for the Unified Parkinson's Disease Rating Scale, on treatment, was 22.55 ± 7.53 in the preoperative zeroth month and 14.50 ± 6.99 in the postoperative sixth month, with statistical significance (P < .001). The Unified Parkinson's Disease Rating Scale, off treatment, score was revealed to be significant in the preoperative zeroth month (37.44 ± 9.85) in comparison to that of the postoperative sixth month (23.44 ± 7.86; P < .001). Conclusion: This study showed that bilateral subthalamic stimulation improves nonmotor and motor symptoms in patients having Parkinson’s disease. The mechanism is complex, and we believe that future studies focusing on pharmacological and nonpharmacological treatments involving more patient groups will be useful for clinicians. Cite this article as: Polat S, Erdem M, Çekinmez M. Comparison of apathy and cognitive symptoms in pre- and postoperative period in deep brain stimulation surgery. Psychiatry Clin Psychopharmacol. 2023;33(4):238-245.
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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 | 0.000 | 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".