Biopsychosocial Outcome after Uncomplicated Mild Traumatic Brain Injury
Bibliographic record
Abstract
The purpose of this study was to examine the biopsychosocial outcome from uncomplicated mild traumatic brain injury (MTBI) within the first 3 weeks post injury. Participants were 48 prospectively enrolled patients from the Emergency Department of Tampere University Hospital, Finland, who sustained an uncomplicated MTBI. At 3 weeks post injury, diffusion tensor imaging (DTI) of the whole brain was undertaken using a Siemens 3T scanner. Measures of fractional anisotropy (FA) were calculated for 16 regions of interest (ROIs) and measures of apparent diffusion coefficient (ADC) were calculated for 10 ROIs. Twenty-four healthy control participants also completed DTI of the whole brain for comparison. Participants were administered a brief battery of self-report (e.g., postconcussion symptoms, depression, and fatigue) and neurocognitive measures (e.g., verbal learning and memory). There were no significant differences between the uncomplicated MTBI and healthy control group on any measures of learning and memory. Compared to the control group, the uncomplicated MTBI group reported a greater number of postconcussion symptoms and fatigue, but not depression. When considering all DTI ROIs simultaneously, the MTBI group had a significantly larger number of low DTI measures (FA values) compared to the healthy controls. MTBI patients with multifocal white matter changes did not show evidence of worse symptoms, cognitive impairment, or slower return to work compared to MTBI patients with broadly normal white matter.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| 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 teacher head, 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".