Specificity of autonomic arousal to anxiety in children with autism spectrum disorder
Bibliographic record
Abstract
Anxiety is one of the most concerning comorbidities in autism spectrum disorder (ASD) due to its high prevalence, negative impact on physical and psychological well-being, and interaction with core deficits of ASD. Current assessment and treatment of anxiety, which rely on the observation of behavior and self-reports, are often ineffective as ASD is associated with deficits in communication and diminished introspective ability. In this light, autonomic nervous system (ANS) activity has been suggested as a marker of physiological arousal associated with anxiety. However, physiological arousal measured by ANS indices also occurs with other cognitive and emotional processes, and it is unclear whether anxiety-related arousal can be differentiated from that related to other cognitive processes. To address this gap, we investigated the use of linear and nonlinear classification techniques for differentiating anxiety-related arousal from arousal due to three cognitive processes (attention, inhibitory control, and social cognition) and physical activity based on electrocardiography signal features. Our results indicate that over 80% classification accuracy can be achieved, suggesting that ANS response can be used as a specific marker of anxiety-related arousal in a subgroup of children with ASD who demonstrate an increase in heart rate in response to anxiogenic stimuli.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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".