Bibliographic record
Abstract
Background. Gamma rhythm plays an important role in enabling cognitive processes. Studies confirm the association of gamma activity with visual and auditory perception, time perception, attention, consciousness and processing of semantic information, inner speech, and memory. Objective. The purpose of the study is to evaluate gamma activity in patients with hemispheric ischemic stroke in the acute and acute periods in comparison with cognitive and anxiety-depressive disorders. Materials and methods. A study was carried out on 32 patients with hemispheric ischemic stroke. All patients underwent comprehensive clinical-neurological, laboratory-instrumental and neurophysiological studies. The EEG was analyzed visually and using mathematical analysis. Using the method of mathematical analysis, we assessed the average values of the gamma rhythm power spectrum in the range of 30-45, 50-70 and 80-100 Hz in all leads and the peak frequency of the γ rhythm of the background EEG. The NIHSS, Rankin, Rivermead, Montreal Cognitive Assessment Scale, Hospital Anxiety and Depression Scale, Spielberger – Hanin Reactive and Personal Anxiety Scales, and Beck Depression Scales were used. Results. Mathematical analysis of bioelectrical activity of the brain of patients with hemispheric ischemic stroke showed deviations in the gamma rhythm in the range of 30-100 Hz, compared with the control group. Statistically significant correlations were established between cognitive, anxiety-depressive disorders and the gamma rhythm index in the frontal and central-temporal regions in the frequency range of 30-100 Hz. Conclusion. Mathematical analysis of the bioelectrical activity of the brain, along with clinical and neuropsychological studies, is recommended to be used for the diagnosis and identification of cognitive and anxiety-depressive disorders in patients with hemispheric ischemic stroke already in the acute and acute periods, which is especially important for prescribing adequate, pathogenetically based therapy and determining the prognosis of the disease.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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; both teacher heads agree on what is shown here.
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".