CLINICAL AND NEUROPHYSIOLOGICAL PECULIARITIS OF MOTOR DEFICIT AND CORRECTION OF COGNITIVE DISORDERS IN CEREBRAL ISCHEMIC HEMISPHERIC POST-STROKE PATIENTS
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Cerebral strokes often lead to severe consequences, such as motor disorders and dysfunctions of higher cerebral functions that affect the quality of life. Well-timed diagnosis and correction of the motor and cognitive disorders helps to improve the neurorehabilitation program for post-stroke patients. A total of 45 patients with hemispheric ischemic stroke were examined using a comprehensive approach that included clinical-neurological assessment, neurophysiological testing, and psychodiagnostic evaluation. The following standardized scales were employed: the National Institutes of Health Stroke Scale (NIHSS), Action Research Arm Test (ARAT), Modified Ashworth Scale (MAS), Montreal Cognitive Assessment (MoCA), and the Hospital Anxiety and Depression Scale (HADS). The study revealed an increase in the number of patients presenting with mild to moderate motor deficits, alongside a decrease in those with moderate to severe motor impairments, following complex therapy that included Bilobil Intense. Central motor neuron damage was indicated by significant alterations in electroneuromyographic parameters, particularly reductions in the amplitude of the M-response and H-reflex. At 12 months post-stroke, a progression of cognitive impairment as well as symptoms of anxiety and depression was observed. Furthermore, the severity of motor deficits showed a positive correlation with the intensity of anxiety-depressive symptoms.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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 it