Brain age prediction model based on electroencephalogram signal and its application in children with autism spectrum disorders
We constructed the EEG-Brain AGE prediction model, which can identify an individual's brain development and be used as a biomarker for the brain development assessment in ASD.
Authors
- Nian Cheng (ORCID: https://orcid.org/0000-0003-2335-690X)
- Wenguang Hu
- Jieqiang Luo (ORCID: https://orcid.org/0009-0007-6688-5381)
- Zaifen Gao (ORCID: https://orcid.org/0000-0001-8197-8657)
- Yuxiang Yan
- Chunli Liu (ORCID: https://orcid.org/0000-0002-3107-1843)
- Ju Yi
- Bo Hong
- Taoyun Ji
- Tong Zhao
Institutions
- Peking University (CN)
- Chengdu Women's and Children's Central Hospital (CN)
- Beijing Biocytogen (China) (CN)
- Peking University First Hospital (CN)
- The Fourth People's Hospital of Ningxia Hui Autonomous Region (CN)
- Tsinghua University (CN)
Publication Details
- Journal
- Frontiers in Neurology
- Published
- 2025-06-18
- DOI
- https://doi.org/10.3389/fneur.2025.1605291
- Citations
- 1
- Primary Topic
- Autism Spectrum Disorder Research
- Type
- article
- Field-Weighted Citation Impact
- 1.43
Funders
- Beijing Nova Program
- National Key Research and Development Program of China