The role of brain magnetic resonance imaging in pediatric sports-related concussion
Bibliographic record
Abstract
The present study utilizes brain magnetic resonance imaging protocols in various forms to investigate it's utility in the management and understanding of concussion. In the first phase of this study, neuroimaging findings from an adolescent sport-related concussion (SRC) cohort are summarized. The current guidelines for neuroimaging use have never summarized findings from this particular group and thus it was important to rule out the presence of structural abnormalities following an SRC. In the second phase of the study, we administered an MRI CO2 brain stress test to patients with post-concussion syndrome (PCS) and a group of age matched controls. Using two MRI protocols, blood-oxygen level dependent (BOLD) and pseudo-continuous arterial spin labelling (pCASL), we were able to examine the cerebrovascular responsiveness (CVR) to the vasoactive CO2 stimulus. The CO2 stimulus was administered using model-based prospective end-tidal (MPET) CO2 targeting delivered from a computerized gas-blender. Significantly findings from the study indicate that PCS may be characterized by patient specific alterations in regional blood flow and CVR despite normal global mean resting cerebral blood flow. Further work with this technology may be able to provide insights into the physiology of PCS as well as acute SRC.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".