[Impacts of electroacupuncture on left hippocampus NAA/Cr for patients of Uygur and Han nationality with mild cognitive impairment].
Bibliographic record
Abstract
OBJECTIVE: To observe the clinical efficacy of electroacupuncture (EA) on mild cognitive impairment (MCI) for patients of Uygur and Han nationality and explore the national diversity among the patients with MCI. METHODS: Twenty-five cases were divided into Han nationality group (15 cases) and Uygur nationality group (10 cases) according to patient's nationality. In either group, EA was applied to Baihui (GV 20), Fengchi (GB 20), Xuanzhong (GB 39), Fuliu (KI 7), Sanyinjiao (SP 6) and Taixi (KI 3), once per day, 15 treatments made one session and there were 5 days at the interval among the sessions. Totally, 3 sessions of treatment were required. The proton magnetic resonance spectroscopy (1H-MRS) was used to observe the changes in the ratio of N-acetylaspartate and creatine (NAA/Cr) on the left hippocampus for the patients in two groups before and after treatment as well as the changes in the results of the Mini-Mental State Examination (MMSE) and the Montreal Cognitive Assessment (MoCA) separately. RESULTS: NAA/Cr in Uygur nationality group was higher than that in Han nationality group before treatment (1.659 +/- 0.418 vs 1.137 +/- 0.190, P < 0.05). After treatment, MMSE and MoCA scores all increased apparently as compared with those before treatment in two groups (P < 0.05, P < 0.01), and NAA/Cr on the left hippocampus in either group was up-regulated as compared with that before treatment (both P < 0.01). CONCLUSION: EA can improve the overall cognitive function for the patients with MCI. There is the national diversity in the partial brain metabolite level between Uygur patients and Han patients with MCI.
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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 | 0.001 | 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".