Effect of acupuncture on episodic memory for amnestic mild cognitive impairment based on hippocampal subregion: study protocol of a randomized, controlled trial
Bibliographic record
Abstract
Background: The hippocampus is a key brain region for episodic memory, and impairment of episodic memory is the earliest feature of amnestic mild cognitive impairment (aMCI). Preserving the structure and function of the hippocampus plays a key role in preventing progression to Alzheimer's disease (AD). Therefore, early intervention is crucial, and acupuncture could significantly improve episodic memory in aMCI, but the mechanism is not clear. Accordingly, this experiment aims to explore the mechanism of acupuncture to improve episodic memory in aMCI based on the hippocampal subregion. Methods: A randomized, controlled, blinded research will be performed. 150 aMCI participants will be assigned to the verum acupuncture group, sham acupuncture group, and waiting group; 50 healthy controls will also be recruited. Patients in the acupuncture group will receive real acupuncture treatment or placebo acupuncture three times per week, 36 sessions over 12 consecutive weeks in total. Patients in the waiting group will receive the same verum acupuncture treatment for compensation after the trials are finished. The primary outcome will be the auditory-verbal learning test. Secondary outcomes will include Montreal Cognitive Assessment (MoCA), Mini-Mental State Examination (MMSE), Hamilton Depression Scale (HAMD), and functional magnetic resonance imaging data. Outcomes will be measured at baseline and 12 weeks after randomization. Repeated measurement analysis of variance will be used to explore the intervention effect. Discussion: This protocol will provide theoretical support for the neural mechanisms by which acupuncture improves episodic memory in aMCI. We hope that this study will provide objective evidence and offer alternative treatment options for the early treatment of aMCI. Clinical trial registration: ChiCTR2400084308.
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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 | 0.020 | 0.021 |
| Meta-epidemiology (narrow) | 0.006 | 0.002 |
| Meta-epidemiology (broad) | 0.014 | 0.005 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.008 | 0.005 |
| Insufficient payload (model declined to judge) | 0.031 | 0.005 |
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".