Objectives, Adham Atyabi, Madeline Aubertine, Yawen Luo, Adam Naples, Sara Jane Webb, M. Murias, Catherine A. Sugar, Raphael, Bernier, Geraldine Dawson, S. Jeste, James C. McPartland, Charles A. Nelson, Frederick Shic
{"title":"Background Results","authors":"Objectives, Adham Atyabi, Madeline Aubertine, Yawen Luo, Adam Naples, Sara Jane Webb, M. Murias, Catherine A. Sugar, Raphael, Bernier, Geraldine Dawson, S. Jeste, James C. McPartland, Charles A. Nelson, Frederick Shic","doi":"10.1017/9781108855846.002","DOIUrl":null,"url":null,"abstract":"Region of Interest (ROI) analysis is the standard approach for eye tracking-based biomarker discovery in autism research. The approach identifies between-group differences between individuals with autism spectrum disorder (ASD) and typically developing (TD) peers based on percentage of time spent looking at specified areas. While powerful, ROIs are predefined by ET experts’ hypothetical expectations for where ASD and TD gaze patterns should differ. Informative gaze pattern visualizations can be used as an investigatory tool to identify robust ROIs in ASD/TD stratification. Insight from expert clinicians can further improve the odds of identifying accurate visualization mechanisms and precise ROIs which would illuminate strategies used in ASD to capture scene content.","PeriodicalId":261741,"journal":{"name":"Topics in Cyclic Theory","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Topics in Cyclic Theory","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1017/9781108855846.002","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Region of Interest (ROI) analysis is the standard approach for eye tracking-based biomarker discovery in autism research. The approach identifies between-group differences between individuals with autism spectrum disorder (ASD) and typically developing (TD) peers based on percentage of time spent looking at specified areas. While powerful, ROIs are predefined by ET experts’ hypothetical expectations for where ASD and TD gaze patterns should differ. Informative gaze pattern visualizations can be used as an investigatory tool to identify robust ROIs in ASD/TD stratification. Insight from expert clinicians can further improve the odds of identifying accurate visualization mechanisms and precise ROIs which would illuminate strategies used in ASD to capture scene content.