A neural regulation mechanism of head electroacupuncture on brain network of patients with stroke related sleep disorders.
Bibliographic record
Abstract
OBJECTIVE: To analyze part of the mechanism of electroacupuncture on Sishencong (EX-HN1) for stroke-related sleep disorders (SSD) and post-stroke cognitive impairment (PSCI). METHODS: Using a randomized controlled trial (RCT) design, 72 patients were assigned to the electro-acupuncture (EA) group or the sham acupuncture (SA) group. A healthy control (HC) group was also included. Both groups were given routine rehabilitation treatment. Then, patients in the EA group were given additional electroacupuncture at Sishencong (EX_HN1). Meanwhile, patients in the SA group were given a flat-head needle sham/placebo treatment placed at the bilateral Jianyu (LI15) and Binao (LI14) line midpoints and the Jianyu (LI15) and Jianzhen (SI9) line midpoints. Before and after treatment, scales were collected and analyzed. In the second phase of the study, some subjects from the EA group were selected for functional magnetic resonance imaging (fMRI) data acquisition and comparative analysis with the HC group using a non-RCT design. RESULTS: The EA group performed better than the SA group on the Pittsburgh sleep quality index (PSQI), Montreal cognitive assessment basic (MoCA_B), self-rating anxiety scale (SAS), and self-rating depression scale (SDS). Analysis of the fMRI showed that low-frequency (2 Hz) electroacupuncture stimulation at Sishencong (EX_HN1) can restrain frontal sup medial right (SFGmed.R), precuneus right (PCUN.R), and posterior cingulate cortex right (PCC.R) and enhance angular left (ANG.L), parietal inf left (IPL.L) and occipital mid left (MOG.L). The functional connectivity (FC) of SFGmed.R was positively correlated with PSQI. Electroacupuncture stimulation at Sishencong (EX_HN1) can reduce the side efficiency of the whole brain connection with the Thalamus.L, Hippocampus.L, and Occipital.Mid.L. CONCLUSIONS: Low frequency (2 Hz) electroacupuncture stimulation at Sishencong (EX_HN1) can simultaneously improve sleep quality, negative emotions, and cognitive functions, the first two of which may be related to SFGmed.R restraint. Electroacupuncture can make some brain areas approach the physiological bias state, which is characterized by dominant hemispheric enhancement and non-dominant hemispheric weakening. The reduced whole brain connection side efficiency with some key nodes of the brain net may relate to sleep quality improvements in SSD patients.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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".