Interhemispheric Transfer in Alexithymia: A Transcallosal Inhibition Study
Bibliographic record
Abstract
OBJECTIVE: This study investigates the hypothesis that alexithymia is associated with an interhemispheric transfer deficit via the corpus callosum (CC). METHOD: The transcallosal inhibition paradigm was used to assess interhemispheric transfer. Transcranial magnetic stimulation (TMS) and peripheral electromyographic recordings were performed in 10 right-handed male and 10 female students with Toronto Alexithymia Scale (TAS-20) scores of > or = 61 and controls (TAS-20 scores of < 61). The transcallosal conduction time (TCT) reflects the TMS-induced inhibitory cortical activity that is mediated via the CC. RESULTS: There was a significant interaction between gender and alexithymia (Wilks lambda = 0.89; F = 3.4; d.f. = 2, 57; p = 0.04) indicating that alexithymic males had shorter bidirectional TCTs than controls and a significantly shorter left to right TCT than controls (p = 0.002). However, the left to right TCT was not significantly different from the right to left TCT in alexithymic males (p = 0.39). Alexithymic females were not different from controls. CONCLUSION: Our results clearly stand in contrast to the hypothesis of a transfer deficit due to a dysfunction of the CC in alexithymia. Facilitated, bidirectional transcallosal inhibition of the contralateral motor activity is associated with alexithymia in males. Facilitated cortical inhibition may be a neurobiological correlate of alexithymia.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| 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) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".