Alexithymia is associated with aggressive tendencies following traumatic brain injury
Bibliographic record
Abstract
OBJECTIVE: Aggressive behavior is a frequent legacy of traumatic brain injury (TBI). This study explores the question of how alexithymia, which is associated with deficits in social cognition and empathy, may predispose individuals to aggressive tendencies after head trauma. METHOD: A total of 47 individuals referred for routine neuropsychological assessment and advice on the management of long-term neuropsychological sequelae after TBI and 72 demographically matched controls completed the 20-Item Toronto Alexithymia Scale (TAS-20) and Buss Perry Aggression Questionnaire (BPAQ; self and proxy). RESULTS: The incidence of alexithymia and aggressive tendencies was significantly higher in the group with TBI. After controlling for covariates, alexithymia explained an additional 29% of variance in BPAQ total scores in the group with TBI and 11.1% in the control group. Of the three TAS-20 sub-scales, 'difficulty describing feelings' emerged as a consistent unique predictor of aggression scores. CONCLUSIONS: Higher levels of alexithymia are associated with greater aggressive tendencies post-TBI. The findings offer important theoretical and empirical insights into the prediction of aggression after TBI.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".