Examining the neural impact of pediatric concussion
Bibliographic record
Abstract
PURPOSE OF REVIEW: This study presents the findings from a scoping review of recent, original research investigating changes in brain structure and/or function following pediatric concussion or mild traumatic brain injury (mTBI) using MRI and functional MRI techniques. RECENT FINDINGS: Our scoping review identified only five studies, two of which were focused specifically on sports-related concussion. A common finding across studies was that traditional structural methods such as anatomical T1, T2, and even susceptibility-weighted MRI failed to reveal abnormalities in brain structure following pediatric concussion/mTBI. Although data suggest alterations in brain function associated with concussion, correlation with changes in performance is inconsistently found, possibly because of the use of compensatory cerebral mechanisms or alternate pathways while the brain is still dysfunctional. SUMMARY: In conclusion, the literature describing neuroimaging investigations of pediatric concussion is too scarce to allow the formulation of definitive conclusions regarding the impact of concussion on the developing brain. There is a dire need for longitudinal, multisite investigations focused on a wider age range and recovery period.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.025 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".