Meridian Sinew Therapy for Cerebral Blood Flow and Brain Function in Sub-Healthy Individuals: A Study of ASL and rsfMRI
Why this work is in the frame
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Bibliographic record
Abstract
Finding new ways to prevent and reduce the incidence of dementia is a serious world problem. This study aimed to perform imaging comparisons between pre- and post-meridian sinew therapy using arterial spin labeling (ASL) and resting-state functional MRI (rs-fMRI). Meanwhile, the results were studied to provide imaging evidence to support the effect of this meridian sinew therapy to slow down the brain aging and to reveal the related neurological mechanisms. Eighteen sub-healthy volunteers were selected as subjects. Three treatment strategies were adopted, acupuncture (group A), myofascial release (group B), and the integrated acupuncture and myofascial release (group C). The subjects were assigned to receive the three treatment modalities sequentially. 3T MRI examinations were provided before and after each treatment, including routine brain MRI plain scan, ASL and rs-fMRI scan. Compared with the results before and after treatment, the number of brain regions with increased cerebral blood flow (CBF) values in the group A, group B, and group C were respectively 1, 15 and 10 brain regions, all including the right cingulate gyrus. And rs-fMRI showed that multiple brain regions was activated, mainly temporal lobe and frontal lobe. The independent component analysis showed that the right intraorbital superior frontal gyrus and the occipital region was activated. Meridian sinew therapy can increase CBF and enhance neuronal activity in brain regions significantly associated with cognitive and memory functions, which may be the main targets where it actions on to achieve “Xingshen Yizhi (waking up the spirit and reinforcing thinking activity)” effect. The combination of ASL and rs-fMRI may be an effective imaging modality for future quantitative monitoring of the preventive and therapeutic effects of the meridian sinew therapy.
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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) | 0.001 | 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 it