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Identifying Distinct Electrophysiological Endophenotypes in Autism Spectrum Disorder: A Large-Scale Machine Learning Approach Integrating Auditory Brainstem Response and Behavioral Phenotyping

2026-04-23

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<title>Abstract</title> <p>Background Our study aimed to explore the correlations between Auditory Brainstem Response outcomes and Autism phenotypes. Methods A total of 1883 children with or suspected of being with ASD were enrolled. The related features were acquired by using the Autism Behavior Checklist (ABC), Children Autism Rating Scale (CARS) and ABR outcomes. The cluster analysis was conducted to detect...

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Literature Corpus work
faaf694a-1f96-527b-9dbf-88653201453b
DOI
10.21203/rs.3.rs-9288120/v1
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Identifying Distinct Electrophysiological Endophenotypes in Autism Spectrum Disorder: A Large-Scale Machine Learning Approach Integrating Auditory Brainstem Response and Behavioral PhenotypingDOI 10.21203/rs.3.rs-9288120/v1
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