Department of Acupuncture and Tuina, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian Province, China.
Tongxiang Hospital of Traditional Chinese Medicine, Tongxiang, Zhejiang Province, China.
Sci Rep. 2024 Sep 27;14(1):22186. doi: 10.1038/s41598-024-70304-x.
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.
在一项多中心病例对照研究中，我们评估了眼动信号分析（EOG-SA）方法的疗效，该方法整合了与注意力相关的视觉诱发、眼动描记术和非线性分析，用于区分儿童的智力和发育障碍（IDD）与典型发育（TD）。对 127 名参与者（63 名 IDD，64 名 TD）进行分析，我们应用非线性动力学进行特征提取。结果表明，EOG-SA 能够区分 IDD，其模板阈值较高，关联维数与临床严重程度相关。模板阈值是一个稳健的指标，较高的值表示严重的 IDD。判别指标的曲线下面积分别为 0.91（模板阈值）和 0.85/0.91（D2），灵敏度和特异性分别为 77.6%/95.9%和 93.5%/71.0%。EOG-SA 是一种很有前途的工具，为 IDD 的早期和细致诊断提供了可解释的神经生物标志物。
