Effects of a healthy diet based on seed-rich vegetables on the gut microbiota and intrinsic brain activity in perimenopausal women: A pilot study on cognitive improvement
Bibliographic record
Abstract
Brain functional changes and gut microbiota dysbiosis have been observed in perimenopausal syndrome (PMS). We evaluated the effects of a plant-based daily diet enriched with Raphanus sativus L. (RSL, radish seed) on the gut microbiota composition, gastrointestinal symptoms, resting-state local spontaneous brain activity, and neuropsychology in perimenopausal women. For 12 weeks, the participants were instructed to adhere to a controlled, Raphanus sativus L.-rich plant-based diet (a mean RSL intake of 5 g/day). Two test days were organized: before and after the nutritional intervention. The fecal microbiota composition, gastrointestinal symptoms, resting-state brain function, and neuropsychology were assessed twice. A longitudinal single-arm study was conducted on 24 perimenopausal women. The Montreal Cognitive Assessment (MoCA) scores tended to improve in the visuospatial/executive function subitem and in the total score after the diet. The participants presented elevated amplitude of low-frequency fluctuation (ALFF) values in the left middle occipital gyrus, the left precentral gyrus, and the left middle cingulum gyrus. The abundances of the phyla Synergistetes and Verrucomicrobia were positively correlated with the ALFF values of the left middle occipital gyrus, left precentral gyrus, and left middle cingulum gyrus. These data suggest that specific gut microbes may modulate intrinsic brain activity and cognitive function in perimenopausal women. A plant-based RSL-rich diet has beneficial effects on the gut microbial composition and brain function of perimenopausal women.
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 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) | 0.001 | 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) | 0.001 | 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".