Dynamic Correction of the Activity Sympathetic Nervous System (Dcasns) to Restore Cognitive Functions
Bibliographic record
Abstract
Introduction The efficiency DCASNS method to restore cognitive function in patients with organic amnestic syndrome. Objectives Three patients with clinical organic amnestic syndrome resulting of brain damage (poisoning, alcohol and trauma) held inpatient treatment for at least 12 months in the neurology or psychiatry department without a significantly improvement. Aims Determine of the effectiveness of the DCASNS method to restore cognitive functions. Methods DCASNS method implemented using an electrical pulse generator that delivers the spatially-distributed field of the carefully-controlled current pulses in the nervous structures of the neck (Kublanov V.S., 2008). This allow to control of autonomic regulation activity (by stellatis ganglion) and stimulate stem neural centers. Patients were assessed using the clinical method, neuropsychological scales: Frontal Assessment Batter? (FAB), Montreal Cognitive Assessmnet (MCA), Mini-Mental State (MMSE), MRI, EEG, Heart rate variability (HRV). Results The initial clinical state of the patients was severe, with structural damage on MRI and low rates of neuropsychological tests. As a result of seven DCASNS procedures improved significantly neuropsychological assessments: FAB (from 5,7±3,1 to 12±4,0); MCA (from 11,3±3,0 to 16,3±4,0); MMSE (from 15,3±6,2 to 21,3±8,3). EEG comparison analysis showed an increase in power of Alpha waves and power reduction of Delta waves on all leads. HRV comparison analysis showed an increase total power and the change in autonomic balance. Conclusion DCASNS method can be used for the effectiveness treatment of cognitive dysfunctions resulting organic lesions of the central nervous system.
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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 | 0.003 |
| 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".