Cognitive vascular disorders and morphometric parameters of the prefrontal, dorsolateral cortex and thalamus in post-stroke patients
Bibliographic record
Abstract
OBJECTIVE: To assess the relationship between the size of the prefrontal, dorsolateral cortex and the thalamus according to brain CT scans and cognitive functions in patients in the early recovery period of cerebral ischemic stroke. MATERIAL AND METHODS: One hundred two patients (67.6% males) in the early recovery period of ischemic stroke were examined using a short scale of mental status and the Montreal scale of cognitive function and morphometry of the dorsolateral cortex and thalamus according to brain CT scans performed in the acute period of ischemic stroke. The mean age was 63 years [59; 69.75]. RESULTS: Obtained data indicate a statistically significant direct association between the thickness of the dorsolateral cortex bilaterally and cognitive preservation. The thalamus size was not associated with cognitive functioning assessed in the early recovery period of ischemic stroke. CONCLUSION: The thalamus sizes of the studied patients were not directly related to cognitive functions, and the thickness of the prefrontal, dorsolateral cortex on both sides was in direct correlation with mental health indicators.
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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) | 0.002 | 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".