Cognitive Outcomes following Virtual Reality Rehabilitation in Patient with Traumatic Brain Injury: A Prospective Randomized Comparative Study
Bibliographic record
Abstract
Abstract Comprehensive rehabilitation is essential to enhance the quality of life and cognitive performance of traumatic brain injury (TBI) survivors. Virtual reality (VR) has emerged as a promising tool for TBI rehabilitation due to its ability to provide an engaging and tailored environment. This was a randomized comparative study conducted at tertiary hospital and included individuals aged between 18 and 60 with mild-to-moderate cognitive impairment due to TBI. The participants were divided into a case group receiving intensive VR rehabilitation and a control group receiving standard care. Cognitive assessments were conducted before and after treatment, and during follow-up. VR rehabilitation demonstrated significant improvements in cognitive function. The VR group exhibited remarkable progress in the Montreal Cognitive Assessment (MoCA), Tower of London (TOL), and Trail Making Test (TMT) scores. Baseline MoCA, TOL, and TMT scores (mean value) of case group 16.5, 11.75, and 14.05 and for control group 17, 10, and 13 were respectively. All the parameters of case group improved at the time of discharge (MoCA: 24.3, TOL: 22, TMT: 27.5) and in follow-up (MoCA: 28.5, TOL: 32.5, TMT: 42.07) as compared with control group at discharge (MoCA: 19, TOL: 13, TMT: 17) and in follow-up (MoCA: 21, TOL: 15, TMT: 19), which shows significant improvement in case group (p < 0.001) as compared with control group. VR rehabilitation significantly improves cognitive outcomes in TBI patients. It has the potential to be a significant tool in TBI rehabilitation.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| 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 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".