A pupillometry study of multisensory social and linguistic processing in autism and typical development.
Bibliographic record
Abstract
Autism spectrum disorder is a neurodevelopmental disorder that is characterized by impairments in social communication, restricted interests, and repetitive behaviors. Many studies have demonstrated atypical responses to audiovisual sensory inputs, particularly those containing sociolinguistic information. It is currently unclear whether these atypical responses are due to the linguistic nature of the inputs or the social aspect itself. Further, it is unclear how atypical sensory responses to sociocommunicative stimuli intersect with autism symptomatology. The current study addressed these outstanding questions by using pupillometry in mental age-matched children with and without autism (N = 71) to examine physiological responses to dynamic, audiovisual stimuli including social, sociolinguistic, socioemotional, and nonsocial stimuli, as well as to temporally manipulated stimuli. Data revealed group differences in pupillary responses with social stimuli but not nonsocial stimuli and, importantly, showed no variation through the inclusion of linguistic or emotional information. This suggests that atypical sensory responses are driven primarily by the inclusion of social information broadly. Further, individual responses to social stimuli were significantly correlated with a wide range of autism spectrum disorder symptomatology, including social communication, restricted interests and repetitive behaviors, and sensory processing issues. Pupillary responses to social but not nonsocial presentation were also capable of predicting diagnosis with a high level of selectivity, but only with marginal sensitivity. Finally, responses to the temporal manipulation did not yield any group differences, suggesting that while atypical multisensory temporal processing has been well documented in autism at the level of behavior and perception, these issues may be intact at the physiological level. (PsycInfo Database Record (c) 2020 APA, all rights reserved).
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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 | 0.001 |
| 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".