Interest paradigm for early identification of autism spectrum disorder: an analysis from electroencephalography combined with eye tracking
This novel integration of ET and EEG metrics highlights the potential of RIs as diagnostic markers for ASD. The observed neural and attentional distinctions underscore the utility of multimodal biomarkers for early diagnosis and personalized intervention strategies. Future work should validate findings across broader age ranges and diverse populations.
Authors
- Zhi-Liu Wu
- Haojie Mao (ORCID: https://orcid.org/0000-0002-7563-9234)
- Zhen Wei (ORCID: https://orcid.org/0000-0001-6273-3232)
- Binbin Sun (ORCID: https://orcid.org/0000-0001-5605-3150)
- Xuejun Kong (ORCID: https://orcid.org/0000-0001-8551-8877)
- Alyssa Ye
- Xinyuan Wang (ORCID: https://orcid.org/0009-0009-9265-5955)
- Kevin Liu (ORCID: https://orcid.org/0000-0002-8754-3504)
- Elombe Issa Calvert
- Raymond Kong Wang
Institutions
- Beth Israel Deaconess Medical Center (US)
- Harvard University (US)
- Massachusetts General Hospital (US)
- Shenzhen Maternity and Child Healthcare Hospital (CN)
- Athinoula A. Martinos Center for Biomedical Imaging (US)
Publication Details
- Journal
- Frontiers in Neuroscience
- Published
- 2024-11-27
- DOI
- https://doi.org/10.3389/fnins.2024.1502045
- Citations
- 4
- Primary Topic
- Autism Spectrum Disorder Research
- Type
- article
- Field-Weighted Citation Impact
- 1.37
Funders
- Massachusetts General Hospital