Brain Connectivity and Behaviour in Post-Concussion Syndrome: A Scoping Review Protocol
Bibliographic record
Abstract
Abstract Background About 10-15% of patients experience persistent symptoms 3-months post-concussion, referred to as Post-Concussion Syndrome (PCS). There are no biomarkers for detecting this condition, but advanced neuroimaging tools such as Diffusion Tensor/Weighted Imaging (DTI/DWI) or functional MRI (fMRI) can detect subtle changes in the integrity of white matter tracts or brain activity, respectively. Methods This study protocol presents search strategies for a scoping review that provides an overview of the studies that assessed both alterations of structural and/or functional connectivity and cognitive/neuropsychiatric outcomes in PCS. Discussion A better understanding of the brain-behaviour relationships in PCS can lead to improved diagnosis of this condition. Scoping Review Protocol Registration: osf.io/sqt7d
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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 | 0.045 | 0.046 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.007 | 0.001 |
| Bibliometrics | 0.006 | 0.011 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.017 |
| 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; both teacher heads agree on what is shown here.
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".