Structural features of the brain in amnestic mild cognitive impairment and their correlation with mild behavioral impairment
Bibliographic record
Abstract
Objective. To determine the structural features of the brain in elderly patients with amnestic syndrome of mild cognitive decline (aMCI) and to identify correlations of these features with mild behavioral disorders. Material and methods. Fifty-three patients with aMCI (age 73.0±8.5 years, 9 males) and 34 mentally healthy subjects (66.8±9.6 years, 4 males) were examined. Cognitive status was assessed according to the Montreal Cognitive Assessment (MoCA) scale, and the severity of mild behavioral impairment was assessed according to the Mild Behavioral Impairment Checklist (MBI-C). Structural MRI images were obtained using a 3T Philips Ingenia. Cortical gray matter thickness, volumes of subcortical structures, and their correlation with MBI-C and MoCA scores were analyzed. Results. In patients with aMCI, a smaller cortical thickness was found in the left superior frontal gyrus and right precuneus (p<0.05), as well as negative correlations of these indicators with MBI-C scores. Also, this group showed smaller volumes of the amygdala and hippocampus of the left hemisphere (p<0.05) and a positive correlation between the volume of the left amygdala and MoCA scores. Conclusion. The identified changes in structural MRI indicators and their correlation with neuropsychiatric and neurocognitive symptoms reflect the complex nature of the brain substrate of cognitive and behavioral impairment in aMCI. The results indicate the need for further search for clinically significant phenotypes in patients with aMCI, including those associated with an increased risk 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 | 0.001 |
| 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".