RJAfinder: An automated tool for quantification of responding to joint attention behaviors in autism spectrum disorder using eye tracking data.

Zhang, Jie; Li, Ziyi; Wu, Yige; Ye, Adam Yongxin; Chen, Lei; Yang, Xiaoxu; Wu, Qixi; Wei, Liping

Zhang, Jie; Li, Ziyi; Wu, Yige; Ye, Adam Yongxin; Chen, Lei; Yang, Xiaoxu; Wu, Qixi; Wei, Liping.

Afiliação

Zhang J; Pharmacy Department of Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China.
Li Z; State Key Laboratory of Protein and Plant Gene Research, Center for Bioinformatics, School of Life Sciences, Peking University, Beijing, China.
Wu Y; State Key Laboratory of Protein and Plant Gene Research, Center for Bioinformatics, School of Life Sciences, Peking University, Beijing, China.
Ye AY; State Key Laboratory of Protein and Plant Gene Research, Center for Bioinformatics, School of Life Sciences, Peking University, Beijing, China.
Chen L; State Key Laboratory of Protein and Plant Gene Research, Center for Bioinformatics, School of Life Sciences, Peking University, Beijing, China.
Yang X; State Key Laboratory of Protein and Plant Gene Research, Center for Bioinformatics, School of Life Sciences, Peking University, Beijing, China.
Wu Q; State Key Laboratory of Protein and Plant Gene Research, Center for Bioinformatics, School of Life Sciences, Peking University, Beijing, China.
Wei L; School of Life Sciences, Peking University, Beijing, China.

Front Neurosci ; 16: 915464, 2022.

Article em En | MEDLINE | ID: mdl-36466175

Palavras-chave

autism spectrum disorder; automated tool; behavior assessment; eye tracking; joint attention

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Front Neurosci Ano de publicação: 2022 Tipo de documento: Article

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