Informing pediatric rehabilitation: Language-based neuropsychological profile following traumatic brain injury and stroke secondary to arteriovenous malformation
Bibliographic record
Abstract
PURPOSE: To describe language-based neuropsychological outcomes following brain injury in two pediatric populations commonly treated in rehabilitation settings, namely severe traumatic brain injury (sTBI) and stroke secondary to arteriovenous malformation (AVM). METHODS: Investigated were children between the ages of 6 and 16 who were admitted to a brain injury rehabilitation program in a pediatric rehabilitation hospital and who were diagnosed with a left-sided sTBI (n= 16; mean age = 13.2) or a left-hemispheric stroke secondary to AVM (n= 16, mean age = 10.7). Groups were compared on demographic information, as well as general cognitive and language-based neuropsychological measures, controlling for age. RESULTS: Children in the AVM group presented with greater deficits, at trend levels, relative to the sTBI group on measures of working memory, verbal fluency, and an aphasia screening tool. CONCLUSIONS: This study represents an initial step in understanding the language-based neuropsychological outcomes of children diagnosed with sTBI compared to those with stroke secondary to AVM, which will help inform the rehabilitation process. With this knowledge, clinicians, families, and educators will be better equipped to provide informed individual rehabilitation programs, recommendations, and education for children and adolescents with brain injuries.
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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 | 0.005 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".