Investigation of Action Prediction in ASD Individuals : an eye-movement guided EEG analysis

Lou, Wenshu (2022) Investigation of Action Prediction in ASD Individuals : an eye-movement guided EEG analysis. Master's Thesis / Essay, Computational Cognitive Science.

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Abstract

Autism Spectrum Disorder (ASD) is a lifelong developmental disorder characterized by difficulties in social interaction and communication, restricted interests, and repetitive behavior, according to the Diagnostic and Statistical Manual of Mental Disorders (American Psychiatric Association, 2013). One popular assumption behind the core social characteristic of autism is that autistic individuals have difficulty understanding other people’s intentions. This is assumed to be related to the reduced ability in predicting others’ actions. In the current study, we investigated the eye-tracking and neural correlates of action prediction in autistic individuals. We acquired eye-tracking data and electroencephalography (EEG) data from Ward et al. (2021). In Ward et al.’s study, she and colleagues collected EEG and eye-tracking data from both autistic and non-autistic teenagers when observing pre-recorded videos of multi-step dayto- day actions. In the experiment, each action in the video was divided into three steps and would become gradually clearer and more predictable. Building on Ward et al.’s work, we analyzed neural information and eye-tracking data during action observation simultaneously. For eye-tracking analysis, we defined three metrics to measure the predictive behavior and its accuracy as indicated by the location of fixations. From the descriptive statistics, we observed a general higher accuracy rate for action prediction for the non-autistic group.

Item Type:	Thesis (Master's Thesis / Essay)
Supervisor name:	Borst, J.P.
Degree programme:	Computational Cognitive Science
Thesis type:	Master's Thesis / Essay
Language:	English
Date Deposited:	02 Aug 2022 06:57
Last Modified:	02 Aug 2022 06:57
URI:	https://fse.studenttheses.ub.rug.nl/id/eprint/28233

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