Alexithymia in healthy young men: A voxel-based morphometric study
Bibliographic record
Abstract
BACKGROUND: Alexithymia is a personality construct predominately associated with an impaired ability to identify and communicate emotions. Functional imaging studies showed that an altered function of the anterior cingulate cortex (ACC) may be relevant in alexithymia. In this study we investigated if the altered functional anatomy is related to structural changes (A) in the whole brain and (B) specifically in the ACC by applying a region-of-interest analysis. METHODS: 33 high- and 31 low-alexithymic right-handed young male subjects (selected by the 20-item Toronto Alexithymia Scale, TAS-20) were investigated using voxel-based morphometry (VBM) on high-resolution 3D magnetic resonance images. The group differences were analyzed by applying voxel-wise comparisons using two-sample t-tests. Moreover regression analyses with regard to the individual TAS-20 sum scores were calculated. RESULTS: Neither the subtraction analyses nor the correlation analyses revealed significant differences between high- and low-alexithymic subjects. Thus, according to our results, the null hypothesis of no structural difference between the groups could not be rejected. LIMITATIONS: The findings cannot be generalized to female subjects. CONCLUSIONS: Our results did not reveal morphological differences between high- and low-alexithymic subjects. The functional differences known from imaging studies could not be attributed to underlying anatomical changes. Thus, the personality trait of alexithymia might be associated with fewer morphological abnormalities than previously assumed.
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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 | 0.000 | 0.000 |
| 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 | 0.000 |
| 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 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".