Possibilities of using innovative non-drug technologies in the rehabilitation of patients with early post-stroke cognitive impairment
Bibliographic record
Abstract
The purpose of this study is to evaluate the effectiveness of rehabilitation with the use of virtual reality technologies and the influence of the main clinical and functional parameters on the functional outcome and the effectiveness of VR-therapy in patients with different degrees of cognitive decline in the acute period of ischemic stroke Materials and methods 120 patients diagnosed with ischemic stroke with cognitive decline according to the Montreal Cognitive Assessment Scale (MoCA) were examined. Patients were divided into groups: 1st - 62 patients with moderate cognitive impairment (20-25 points), 2nd group - 58 patients with dementia ( 20 points). On 4th to 5th day rehabilitation using virtual reality (VR) was performed. The following scales were used to examine cognitive and functional status: Barthel Index (BI), Rankin Scale (mRS), NIHSS; tests to assess cognitive functions; neuroimaging scales ASPECTS, STRIVE and MTA. The functional outcome was calculated by the difference between mRS scores on the 1st and 14th days - Δ mRS, rehabilitation effectiveness (RE) - VR-system parameters before and after treatment - Δ RE. Results Significant improvement was demonstrated in all cognitive and functional parameters except semantic information processing, attention and constructive praxis in the 1st group. In the 2nd group, improvement was noted in NIHSS, speech and mnestic disorders. In the 1st group, correlation of Δ RE was found with lesion size, attention level, BI, mRS and NIHSS; in the 2nd group correlation was found with age, gender, degree of IQCODE and STRIVE, presence of atrophy, semantic aphasia and perceptual impairment. In the 1st group, Δ mRS was correlated with the size and side of the lesion, NIHSS, ASPECTS, attention and speech function; in the 2nd group - with parameters of semantic information processing, constructive praxis, degree of IQCODE, size of the focus, ASPECTS and BI. Conclusion Modern approaches to VR-rehabilitation of patients with post-stroke cognitive impairment require the development of individual methods using immersion environment focused on the structure, etiology and severity of cognitive deficit taking into account the degree of the patient's functional state.
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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 | 0.001 | 0.019 |
| 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 | 0.004 |
| 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".