Quantifying Attention in Children with Intellectual and Developmental Disabilities Through Multicenter Electrooculogram Signal Analysis

Overview

Journal Sci Rep

Specialty Science

Date 2024 Sep 27

PMID 39333619

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

Affiliations

Soon will be listed here.

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.

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