Enhanced Salience and Emotion Recognition in Autism: A PET Study
Bibliographic record
Abstract
OBJECTIVE: This study examined neural activation of facial stimuli in autism when the salience of emotional cues was increased by prosodic information. METHOD: Regional cerebral blood flow (rCBF) was measured while eight high-functioning men with autism and eight men without autism performed an emotion-recognition task in which facial emotion stimuli were matched with prosodic voices and a baseline gender-recognition task. RESULTS: Emotion processing in autistic subjects, compared to that in comparison subjects, resulted in lower rCBF in the inferior frontal and fusiform areas and higher rCBF in the right anterior temporal pole, the anterior cingulate, and the thalamus. CONCLUSIONS: Even with the enhanced emotional salience of facial stimuli, adults with autism showed lower activity in the fusiform cortex and differed from the comparison subjects in activation of other brain regions. The authors suggested that the recognition of emotion by adults with autism is achieved through recruitment of brain regions concerned with allocation of attention, sensory gating, the referencing of perceptual knowledge, and categorization.
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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".