Effect of Oral Nutrition Supplementation (ONS) contains phosphatidylserine, choline, and uridine on cognitive function and quantitative electroencephalography in elderly patients with mild and moderate dementia
Bibliographic record
Abstract
Objectives: Cognitive function gradually deteriorating over time is a symptom of dementia. Increased delta and theta slow wave activity is associated with decreased cognitive function. The study aimed to determine the effect of oral nutritional supplementation containing phosphatidylserine, choline, and uridine on improving cognitive function and quantitative electroencephalographic features in older people with mild-moderate dementia. Method: A pre-experimental study with the design of one groups pretest-posttest at Dr. Radjiman Wediodiningrat Malang's psychogeriatric clinic from January to March 2020. A total research subjects were 19. Oral nutritional supplementation containing phosphatidylserine, choline, and uridine in milk is given for four weeks. Laboratory and cognitive function tests using MMSE and MoCA-Ina scores and QEEG examinations were performed before and after supplementation. Results: The MMSE and MoCA-Ina scores showed improved cognitive function after four weeks of supplementation with p<0.000 and p<0.000, respectively. The QEEG picture before supplementation showed that from 19 subjects, hyperactivity was obtained from the slow wave type, namely Delta waves (0.1-4 Hz) and theta (4-8 Hz), namely 63.16% and 89.47% of subjects. After supplementation, there was a decrease in hyperactivity to 31.58% and 47.37% with a significance of 0.006 and 0.003 (p<0.05), so it was concluded that there was a significant difference in the appearance of delta and theta waves on QEEG examination. Conclusion: Oral nutritional supplementation containing phosphatidylserine, choline, and uridine showed improvement in cognitive function, and quantitative electroencephalograph showed a significant difference in changes in delta and theta wave hyperactivity that affected attention improvement in cognitive domains of dementia subjects.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.000 | 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".