[Brian effects of electroacupuncture on sleep quality and cognitive function in patients with insomnia related to cerebral infarction].
Bibliographic record
Abstract
OBJECTIVE: To observe the effects of electroacupuncture (EA) on sleep quality, sleep structure, and cognitive function in patients with insomnia related to cerebral infarction, and to explore the brain effect mechanism of EA on insomnia related to cerebral infarction. METHODS: Thirty-six patients with insomnia related to cerebral infarction were randomly divided into an EA group (18 cases, 1 case was eliminated and 1 case dropped out) and a sham acupuncture group (18 cases, 1 case was eliminated and 2 cases dropped out). Both groups received conventional treatment for cerebral infarction. The EA group received EA at Sishencong (EX-HN 1) with continuous waves at a frequency of 2 Hz, at an intensity tolerable to the patient. The sham acupuncture group received sham acupuncture at non-acupoints with the same EA parameters but electrical stimulation was interrupted after 30 s. Both groups were treated for 20 min each session, once daily, 5 days per week, for a total of 4 weeks. Pittsburgh sleep quality index (PSQI), Montreal cognitive assessment-basic (MoCA-B) scores, and short-term memory (STM) encoding test accuracy and average reaction time were observed before and after treatment in the two groups. Polysomnography (PSG) was used to evaluate sleep structure, and electroencephalogram (EEG) data were collected to observe the standardized power value of the Theta frequency band before and after treatment. RESULTS: >0.05). CONCLUSION: EA could regulate sleep quality and structure in patients with insomnia related to cerebral infarction, and improve cognitive function, possibly related to the reduction of slow-wave activity in EEG.
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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 | 0.000 | 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 | 0.000 |
| 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".