Quantifying attention in children with intellectual and developmental disabilities through multicenter electrooculogram signal analysis
Year: 2024
Type: article
Study design: Observational Study
Abstract: 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.
Source: Scientific Reports
Authors: Shi-yi Qi, Si-jia Zhang, Li-li Lin, Yu-rong Li, Jian-guo Chen, You-cong Ni, Xin Du, Jie Zhang, Pin Ge, Gui-hua Liu, Jiang-yun Wu, Shen Lin, Meng Gong, Jin-wen Lin, Lan-fang Chen, Ling-ling He, Dong Lin
Language: English
Subfield: Cognitive Neuroscience
Field: Neuroscience
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $2,590
Awards: G2959223031, G7329241600
OpenAlex ID: W4402920262
