Altered Spontaneous Brain Activity Following Moxibustion in Mild Cognitive Impairment
Bibliographic record
Abstract
Abstract Background Moxibustion has definite clinical effect in improving the cognitive condition of mild cognitive impairment (MCI) patients, yet its potential neural mechanism remains elusive. This study aimed to investigate the changes of spontaneous brain activity and cognitive function in MCI patients with moxibustion treatment. Methods We enrolled a cohort of 30 MCI patients and 30 matched healthy controls (HCs) in this study. MCI subjects were assigned to receive moxibustion treatment for two months. Based on resting state functional magnetic resonance imaging technique, we used regional homogeneity (ReHo) to evaluate changes in brain activity and Mini-Mental State Examination and Montreal Cognitive Assessment to assess changes in the participants' cognitive performance. Results There existed aberrant ReHo values in different brain areas mainly involved in the default mode network (DMN) in MCI subjects compared with HCs. After moxibustion treatment, MCI subjects showed an inverse change in ReHo values from baseline in the hippocampus/parahippocampus and insula, as well as an increase ReHo value in the middle frontal gyrus. Furthermore, changes in ReHo values of the left hippocampus/parahippocampus and middle frontal gyrus correlated with cognitive improvement in MCI group. Conclusion Abnormal neural activity occurred in MCI subjects mainly within the DMN. Moxibustion therapy may improve the cognitive function of MCI subjects through regulating their brain activity, particularly reversing the neural activity of DMN and salience network at reset, and may hold great potential for the early intervention and treatment of Alzheimer's disease.
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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 | 0.000 | 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) | 0.001 | 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 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".