Mid-frontal EEG alpha asymmetries predict individual differences in one aspect of theory of mind: Mental state decoding
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Bibliographic record
Abstract
Mental state decoding is the aspect of theory-of-mind (ToM) reasoning that requires individuals to make judgments about others' mental states based solely on immediately available information. We investigated whether individual differences in resting, task-independent frontal EEG alpha asymmetries predicted performance on the "Mind in the Eyes" (MIE) task, which is an established measure of mental state decoding skills. Group analyses showed that mental state decoding skills were stronger among those with right-lateralized frontal activation. Individual differences analyses showed that the degree of relative right mid-frontal activation predicted performance on the task. These findings establish a neural correlate of individual differences in one aspect of ToM, and hypotheses about the precise mechanism involved are discussed.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| 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 it