CHARACTERISTICS OF CEREBRAL ENERGY METABOLISM IN ELDERLY PEOPLE WITH IMPAIRED COGNITIVE FUNCTIONS
Bibliographic record
Abstract
Background. In old age, there is a change in personality, behavior and the rate of cognitive processes due to age-related changes in the central nervous system. Therefore, there is a need to identify those neurophysiological predictors that may indicate the development of pathology or indicate normal aging. Purpose. Investigate the features of cerebral energy metabolism in elderly people (60+) with cognitive impairments of varying severity. Materials and methods. The study involved 30 people aged 60 to 85 years with mild and pronounced manifestations of cognitive impairment. The study of the level of cognitive decline was conducted using the Montreal Cognitive Function Assessment Scale (MoCA). To identify the level of neurometabolic activity of the brain, the method of neuroenergocarting (NEC) was used. The levels of brain activation and functional state were determined by the method of dynamic omegametry. Results. In the group of people with moderate cognitive impairments, there was exceeding the level of constant potentials of the brain by 2-3 times compared with the normative values, a rigid reaction to the load, a delayed recovery of indicators in the post-loading period. It can be concluded that all patients have hypoxic changes accompanied by acidification of brain tissue and oxidative stress. In the group with severe cognitive deficits, there is a general decrease in neuroenergy exchange and activation of the cerebral cortex, which indicates the depletion of the reserve adaptive mechanisms of the nervous system. Conclusion. Thus, pronounced changes in indicators of neurometabolism and brain activity were revealed in elderly people with a decrease in cognitive functions. The data obtained can be used to diagnose the initial manifestations of dementia in old age and to develop therapeutic and preventive measures.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.000 | 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 teacher head, 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".