Effect of Transcranial Direct Current Stimulation Combined with Donepezil on stroke patients with memory impairment
Bibliographic record
Abstract
Objective: To investigate the therapeutic effect of transcranial direct current stimulation (TDCS) combined with donepezil on stroke patients with memory impairment. Methods: The subjects of the study were 120 stroke patients with memory impairment admitted to the Rehabilitation Department of Tianjin Medical University General Hospital from July 2017 to March 2020. Enrolled patients were divided into Group-A (58 cases) and Group-B (62 cases) according to different treatment intervention methods. Patients in Group-A were treated with TDCS and those in Group-B received donepezil on the basis of TDCS. The changes in Montreal Cognitive Assessment (MoCA) memory index score, Barthel Index (MBI) score, cognitive function and cognitive potential were observed and compared between the two groups before and after treatment. Results: The improvement of total MoCA score, a single score of memory, MBI score, cognitive function and P300 potential index in Group-B was significantly better than that in Group-A (p<0.05). Conclusion: TDCS combined with donepezil can reduce or delay the cognitive impairment of stroke patients, improve their delayed memory ability, increase the neurotransmitter acetylcholine in the cerebral cortex, and further enhance their neural function. Findings in our study support that the proposed therapeutic method is worthy of clinical application. doi: https://doi.org/10.12669/pjms.39.3.6822 How to cite this: Hu W, Wang X, Li X, Wang Q. Effect of Transcranial Direct Current Stimulation Combined with Donepezil on stroke patients with memory impairment. Pak J Med Sci. 2023;39(3):898-901. doi: https://doi.org/10.12669/pjms.39.3.6822 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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How this classification was reachedexpand
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".