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ORIGINAL RESEARCH article
Front. Neurosci.
Sec. Neurodevelopment
Volume 18 - 2024 |
doi: 10.3389/fnins.2024.1502045
Interest Paradigm for Early Identification of Autism Spectrum Disorder: An Analysis from Electroencephalography Combined with Eye Tracking
Provisionally accepted- 1 Shenzhen Maternity and Child Healthcare Hospital, Shenzhen, Guangdong Province, China
- 2 Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, United States
- 3 Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, United States
This manuscript fits well within the scope of "Frontiers in Neuroscience -Neurodevelopment" as it contributes to the growing body of knowledge on neurodevelopmental disorders, particularly Autism Spectrum Disorder (ASD). Our study explores the early identification of ASD in toddlers by combining electroencephalography (EEG) and eye-tracking (ET) metrics to investigate neurophysiological and behavioral markers associated with restricted interests (RIs). By leveraging EEG time-frequency power analysis and ET indices such as pupil size and fixation time, we aim to provide a novel approach for detecting early biomarkers of ASD, a crucial area in neurodevelopmental research. Our findings highlight key differences in neural and attentional responses between ASD and non-ASD children, offering potential for early diagnostic interventions. This aligns with the journal's focus on understanding the neurobiological basis of developmental disorders and contributing to the development of therapeutic and diagnostic tools. The integration of these neurophysiological and behavioral markers directly addresses critical issues in neurodevelopmental neuroscience, making this manuscript highly relevant to the journal's aims and scope.
Keywords: Xin-Yuan Wang: Investigation, Writing -original draft, Writing -review & editing. Binbin Sun: Conceptualization, Data curation, Formal analysis, Funding acquisition, investigation, methodology
Received: 26 Sep 2024; Accepted: 11 Nov 2024.
Copyright: © 2024 Sun, Calvert, Ye, Mao, Liu, Wang, Wang, Wu, Wei and Kong. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Xue-jun Kong, Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, United States
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