Cerebral structural and functional changes in diabetes mellitus
Bibliographic record
Abstract
Diabetes mellitus (DM) is a metabolic disease that is accompanied by brain injury manifested as cognitive impairment (CI). Objective : to study cerebral structural and functional changes in patients with DM according to the presence of CI. Patients and methods . Examinations were made in 60 patients with type 1 DM and 60 with type 2 DM who were divided into groups according to the presence of CI. The Montreal Cognitive Assessment (MoCA test) was used to evaluate CI. Glycemia and its variability and the level of glycated hemoglobin (HbA1c) were analyzed. MRI brain images were segmented using the FreeSurfer program and the Recon-all software package. Brain functional MRI was performed using paradigms (for Broca's, Wernicke's and primary motor areas). Results and discussion . Patients with type 1 DM and CI were found to have reduced volumes of the entire white matter and the right hippocampus; those with type 2 DM had decreased gray and white matter volumes. The functional activities of the primary motor and Broca's areas were reduced by 50% in patients with types 1 and by 80% in those with type 2 when conducting the tasks. A relationship was established between disease duration, patient age, glycemic variability index, MoCA test results, and decreases in the volumes of the hippocampus and white and gray matter and in the activity of motor areas in types 1 and 2 DM. Conclusion . Gray and white matter atrophy and impaired motor area functional activity are more significant in type 2 DM. These changes are associated with CI and glycemic variability.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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".