Exploring the relationship between microstructural changes in white matter and cognitive function in mild traumatic brain injury patients: an analysis using diffusion tensor imaging and tract-based spatial statistics
Bibliographic record
Abstract
Cognitive impairments in mTBI may stem from white matter damage; this study used DTI and TBSS to examine these alterations and their link to cognitive function. Thirty mTBI patients and 30 controls underwent DTI, with clinical assessments including GCS, MoCA, and symptom questionnaires. TBSS revealed increased MD and RD in mTBI patients, while JHU Atlas analysis showed reduced AD, RD, and MD in specific tracts. mTBI patients had lower MoCA scores (21.73±4.33 vs. 27.70±1.11, P<0.000), with MD/RD reductions in thalamic anterior radiation and cortical pontine fibers (P<0.05). MoCA scores correlated with right superior longitudinal fasciculus MD (r=0.4133, p<0.05). TBSS indicates white matter damage in mTBI, with MD values correlating to cognitive performance, suggesting MD as a potential neurobiological marker for outcomes.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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".