The state of cognitive functions and diffusion processes in the white matter of the cerebral hemispheres in healthy middle-aged and elderly people
Bibliographic record
Abstract
Background. The growing number of patients with dementia in aging population of developed countries significantly increases the relevance of differential diagnosis of cognitive impairment and age-associated cognitive disorders. The purpose of the study was to determine the criteria for physiological changes in cognitive status and diffusion processes in brain’s white matter in healthy middle-aged and elderly people. Material and methods. Thirty-nine healthy middle-aged (45–59 years, n = 19) and elderly patients (60–75 years, n = 20) were examined. Neuropsychological testing was performed using the following scales: Montreal Cognitive Assessment, Mini-Mental State Examination, Frontal Assessment Battery, Semantic Verbal Fluency (SVF) and Phonemic Verbal Fluency (PVF). Molecular diffusion in brain’s white matter was investigated by diffusion tensor imaging (Ingenia 3.0T, Philips). Results. Moderate positive correlations were found between age and the Frontal Assessment Battery score (rs = –0.443), memory (rs = –0.444) and executive function (rs = –0.542). Cognitive functions in middle-aged and elderly patients didn’t differ in cognitive domains of naming (II), memory (III), language (VIII), delayed reproduction (X), orientation (XI), semantic and phonemic verbal fluency. At the same time, differences in attention (IV, VI, AIS: p = 0.038; 0.043; < 0.001), language (VII, LIS: p < 0.001), abstraction (IX: p = 0.008) and visuospatial function (VIS: p = 0.002) were significant. Physiolo-gical age-related changes of molecular diffusion in the white matter of the cerebral hemispheres are characterized by a decrease of 21.0–37.0 % (p = 0.02 — < 0.001) in anisotropic and an increase of 16.3–29.5 % (p < 0.001) in free diffusion of water molecules in the conductive tracts and beyond them.
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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".