Reductions in Alexithymia and Emotion Dysregulation After Training Emotional Self-Awareness Following Traumatic Brain Injury: A Phase I Trial
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Bibliographic record
Abstract
OBJECTIVES: To examine the acceptability and initial efficacy of an emotional self-awareness treatment at reducing alexithymia and emotion dysregulation in participants with traumatic brain injury (TBI). SETTING: An outpatient rehabilitation hospital. PARTICIPANTS: Seventeen adults with moderate to severe TBI and alexithymia. Time postinjury ranged 1 to 33 years. DESIGN: Within subject design, with 3 assessment times: baseline, posttest, and 2-month follow-up. INTERVENTION: Eight lessons incorporated psychoeducational information and skill-building exercises teaching emotional vocabulary, labeling, and differentiating self-emotions; interoceptive awareness; and distinguishing emotions from thoughts, actions, and sensations. MEASURES: Toronto Alexithymia Scale-20 (TAS-20); Levels of Emotional Awareness Scale (LEAS); Trait Anxiety Inventory (TAI); Patient Health Questionnaire-9 (PHQ-9); State-Trait Anger Expression Inventory (STAXI); Difficulty With Emotion Regulation Scale (DERS); and Positive and Negative Affect Scale (PANAS). RESULTS: Thirteen participants completed the treatment. Repeated-measures analysis of variance revealed changes on the TAS-20 (P = .003), LEAS (P < .001), TAI (P = .014), STAXI (P = .015), DERS (P = .020), and positive affect (P < .005). Paired t tests indicated significant baseline to posttest improvements on these measures. Gains were maintained at follow-up for the TAS, LEAS, and positive affect. Treatment satisfaction was high. CONCLUSION: This is the first study published on treating alexithymia post-TBI. Positive changes were identified for emotional self-awareness and emotion regulation; some changes were maintained several months posttreatment. Findings justify advancing to the next investigational phase for this novel intervention.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it