The relationship between cognitive functioning and syndromic characteristics and neuroimaging changes in patients with different types of encephalopathies
Bibliographic record
Abstract
Cognitive impairment can be a consequence of direct and indirect brain injury, hypoxia, edema, metabolic disorders, neurodegenerative processes, metabolic encephalopathies, electrolyte abnormalities, organ failure, the effects of pesticides, toxins, drugs, and infectious processes. The results are presented from the study on correlations between cognitive functioning and syndromic characteristics and neuroimaging changes in patients with chronic post-traumatic (CTE), chronic vascular (CVE), chronic alcohol-induced (CAIE) and post-infectious (PIE) encephalopathies. The data of 520 medical records of patients with CTE (n = 145), CVE (n = 145), CAIE (n = 102) and PIE (n = 128) were analyzed. Neuroimaging was performed using multislice computed tomography. Cognitive functions were examined using the Montreal Cognitive Assessment. Statistical analysis of data was carried out with the help of computer software Microsoft Excel and Statistica 13.0. There was a probable relationship between cognitive functioning and extrapyramidal syndrome in patients with CVE; cognitive impairment and emotional lability disorder in patients with CAIE; cephalalgia syndrome, motor disorder syndrome and cerebellar ataxia syndrome in patients with PIE. In participants with CTE and CAIE, there was a significant correlation between cognitive functioning and ventricular enlargement; in patients with PIE — between cognitive functioning and the enlargement of the subarachnoid spaces.
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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 | 0.000 |
| 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".