The effect of mind–body exercise on cognitive function and neuroplasticity in elderly people with mild cognitive impairment: a systematic review and meta-analysis
Bibliographic record
Abstract
Objective: This systematic review and meta-analysis aims to comprehensively analyze the effects of mind-body exercise on cognitive function, brain structure, and brain function in individuals with mild cognitive impairment (MCI) by assessing randomized controlled trials. Methods: A systematic search was conducted using four databases: Cochrane Library, EMBASE, PubMed, and Web of Science, from inception until December 2023. The study quality was assessed using the Cochrane risk-of-bias tool. Systematic review and meta-analyses were performed for outcome measures such as the Montreal Cognitive Assessment (MoCA), gray matter volume (GMV), functional connectivity at rest (rsFC), amplitude of low-frequency fluctuation (ALFF) and event-related potential (ERP) P300 latency. Three-dimensional coordinates of brain regions with notable variances were extracted from imaging and delineated in the brain map. Results: = 0.0005). Most of the included studies reported that mind-body exercise improved gray matter volume in the hippocampus, bilateral anterior cingulate gyrus, frontotemporo-occipital regions, altered functional connectivity of the default mode network (DMN) and dorsal attentional network (DAN), neural activity in key brain regions in older adults with MCI. Conclusion: This systematic review demonstrates that mind-body exercise is associated with improved cognitive function and neuroplastic changes in older adults with mild cognitive impairment, with changes particularly evident in regions vulnerable to neurodegeneration such as the hippocampus and anterior cingulate cortex. Systematic review registration: CRD42022251115; https://www.crd.york.ac.uk/PROSPERO/view/CRD42022251115.
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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 | 0.007 | 0.020 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.016 | 0.025 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".