Quantifying attention in children with intellectual and developmental disabilities through multicenter electrooculogram signal analysis
In a multicenter case-control investigation, we assessed the efficacy of the Electrooculogram Signal Analysis (EOG-SA) method, which integrates attention-related visual evocation, electrooculography, and nonlinear analysis, for distinguishing between intellectual and developmental disabilities (IDD) and typical development (TD) in children. Analyzing 127 participants (63 IDD, 64 TD), we applied nonlinear dynamics for feature extraction. Results indicated EOG-SA's capability to distinguish IDD, with higher template thresholds and Correlation Dimension values correlating with clinical severity. The template threshold proved a robust indicator, with higher values denoting severe IDD. Discriminative metrics showed areas under the curve of 0.91 (template threshold) and 0.85/0.91 (D2), with sensitivities and specificities of 77.6%/95.9% and 93.5%/71.0%, respectively. EOG-SA emerges as a promising tool, offering interpretable neural biomarkers for early and nuanced diagnosis of IDD.
Authors
- Shi-Yi Qi
- Pin Ge
- Meng Gong (ORCID: https://orcid.org/0000-0002-1203-5820)
- Lili Lin (ORCID: https://orcid.org/0000-0002-5319-713X)
- L. Chen
- Dong Lin (ORCID: https://orcid.org/0000-0002-6098-0632)
- Jianguo Chen (ORCID: https://orcid.org/0000-0002-7805-3589)
- Jie Zhang (ORCID: https://orcid.org/0000-0002-5348-7671)
- Lin Shen (ORCID: https://orcid.org/0009-0008-7421-8172)
- Xin Du (ORCID: https://orcid.org/0000-0002-7137-2229)
- Yurong Li (ORCID: https://orcid.org/0000-0001-5819-7895)
- Sijia Zhang (ORCID: https://orcid.org/0000-0002-7549-782X)
- Guihua Liu (ORCID: https://orcid.org/0000-0002-1494-0883)
- Ling-Ling He (ORCID: https://orcid.org/0000-0003-2016-5665)
- Youcong Ni
- Jiang-Yun Wu
- Jin-Wen Lin
Institutions
- Fujian Normal University (CN)
- Fujian University of Traditional Chinese Medicine (CN)
- Tongde Hospital of Zhejiang Province (CN)
- Fuzhou Maternity and Child Health Care Hospital (CN)
- Fujian Academy of Medical Sciences (CN)
- Fuzhou University (CN)
- Fujian University of Technology (CN)
Publication Details
- Journal
- Scientific Reports
- Published
- 2024-09-27
- DOI
- https://doi.org/10.1038/s41598-024-70304-x
- Citations
- 1
- Primary Topic
- Gaze Tracking and Assistive Technology
- Type
- article
- Field-Weighted Citation Impact
- 0.37
Funders
- National Natural Science Foundation of China
- Fujian University of Traditional Chinese Medicine