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Abstract
Autism Spectrum Disorder (ASD) is characterized by early attentional differences that often precede the hallmark symptoms of social communication impairments. Development of novel measures of attentional behaviors may lead to earlier identification of children at risk for ASD. In this work, we first introduce a behavioral measure, Relative Average Look Duration (RALD), indicating attentional preference to different stimuli, such as social versus nonsocial stimuli; and then study its association with neurophysiological activity. We show that (1) ASD and typically developing (TD) children differ in both (absolute) Average Look Duration (ALD) and RALD to stimuli during an EEG experiment, with the most pronounced differences in looking at social stimuli; and (2) associations between looking behaviors and neurophysiological activity, as measured by EEG, are different for children with ASD versus TD. Even when ASD children show attentional engagement to social content, our results suggest that their underlying brain activity is different than TD children. This study therefore introduces a new measure of social/nonsocial attentional preference in ASD and demonstrates the value of incorporating attentional variables measured simultaneously with EEG into the analysis pipeline.
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1 Duke University, Department of Biomedical Engineering, Durham, USA (GRID:grid.26009.3d) (ISNI:0000 0004 1936 7961)
2 Duke University, Duke Center for Autism and Brain Development and Duke Institute for Brain Sciences, Durham, USA (GRID:grid.26009.3d) (ISNI:0000 0004 1936 7961)
3 Duke University, Duke Center for Autism and Brain Development and Duke Institute for Brain Sciences, Durham, USA (GRID:grid.26009.3d) (ISNI:0000 0004 1936 7961); Northwestern University, Medical Social Sciences, Chicago, USA (GRID:grid.16753.36) (ISNI:0000 0001 2299 3507)
4 Duke University, Department of Civil and Environmental Engineering and Department of Biostatistics and Bioinformatics, Durham, USA (GRID:grid.26009.3d) (ISNI:0000 0004 1936 7961)
5 Duke University, Department of Biomedical Engineering, Durham, USA (GRID:grid.26009.3d) (ISNI:0000 0004 1936 7961); Duke University, Department of Electrical and Computer Engineering, Durham, USA (GRID:grid.26009.3d) (ISNI:0000 0004 1936 7961); Duke University, Department of Computer Science, and Department of Mathematics, Durham, USA (GRID:grid.26009.3d) (ISNI:0000 0004 1936 7961)
6 Duke University, Duke Center for Autism and Brain Development and Duke Institute for Brain Sciences, Durham, USA (GRID:grid.26009.3d) (ISNI:0000 0004 1936 7961); Duke University, Department of Psychiatry and Behavioral Sciences, Durham, USA (GRID:grid.26009.3d) (ISNI:0000 0004 1936 7961)