Neural Substrates of Affective Face Recognition in Alexithymia: A Functional Magnetic Resonance Imaging Study
Bibliographic record
Abstract
BACKGROUND: Alexithymia is a condition characterized by deficits in cognitive processing and the regulation of emotions. Several theories have been proposed for the underlying neurobiology, but the etiology of alexithymia remains unclear. METHODS: Using functional magnetic resonance imaging, we investigated brain activation measured on the scale of alexithymia in 38 individuals who were presented with neutral, sad, or angry affective facial stimuli. RESULTS: We found significant inverse correlations between the degree of alexithymia represented by the Korean version of the Toronto Alexithymia Scale (TAS-20K) and the intensity of the neural response to angry facial stimuli over neutral facial stimuli in the right caudate. This result was mainly due to the activations in factor 2 (difficulty describing feelings) in TAS-20K scale. CONCLUSIONS: The results suggest that functional impairments in the caudate of the fronto-striatal circuitry may play important roles in the pathophysiology of alexithymia.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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".