Effects of Electroacupuncture at Point Baihui(GV 20) on Auditory P300 in Patients with Cognitive Disorder post Cerebral Infarction
Bibliographic record
Abstract
Objective To investigate the effect of electroacupuncture at point Baihui(GV 20) on P300 auditory event-related potentials in patients with cognitive disorder post cerebral infarction. Methods Fifty-nine patients with cerebral infarction were randomly allocated to a treatment group of 30 cases and a control group of 29 cases. The treatment group received electroacupuncture plus cognitive training and the control group, cognitive training alone. Pre-treatment and post-treatment Montreal Cognitive Assessment(MoCA) scores and auditory P300s were compared between the two groups. Results There were statistically significant pre-/post-treatment differences in the MoCA item scores in the two groups(P0.05). There were statistically significant post-treatment differences in the MoCA item scores except the speech score between the treatment and control groups(P0.05). There were statistically significant pre-/post-treatment differences in P300 latency and amplitude in the two groups(P0.01). There were statistically significant post-treatment differences in P300 latency and amplitude between the treatment and control groups(P 0.05). P300 latency was negatively correlated to the MoCA score. P300 amplitude was positively correlated to the MoCA score. Conclusion Electroacupuncture at point Baihui(GV 20) can improve cognitive function in patients with cognitive disorder post cerebral infarction.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".