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 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 | 0.044 | 0.061 |
| Meta-epidemiology (narrow) | 0.004 | 0.003 |
| Meta-epidemiology (broad) | 0.009 | 0.009 |
| Bibliometrics | 0.016 | 0.014 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.004 | 0.005 |
| Research integrity | 0.008 | 0.004 |
| Insufficient payload (model declined to judge) | 0.078 | 0.012 |
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".