Brain connectome differences between attention deficit hyperactivity disorder (ADHD) and neurotypical children during visual attention: A study using a minimum spanning tree graph, multichannel EEG recording and machine learning.

IF 1.1 4区心理学 Q4 CLINICAL NEUROLOGY

Applied Neuropsychology: Child Pub Date : 2025-08-08 DOI:10.1080/21622965.2025.2533335

Afshin Fayyazi, Samaneh Safari, Sajjad Farashi

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引用次数: 0

Abstract

Background: Individuals with attention deficit hyperactivity disorder (ADHD) perform visual attention tasks differently compared to neurotypicals. In this study, differences of brain connectome during visual attention were compared between ADHD and neurotypicals using multichannel electrocardiogram (EEG) recordings and graph theory.

Methods: A minimum spanning tree (MST) graph based on similarities in EEG data from different brain areas was constructed for both neurotypical and ADHD groups. Features of MST were extracted in different EEG frequency sub-bands. The discriminative capability of MST extracted features was assessed using a classification approach. By comparing graph features between ADHD and neurotypicals, differences between brain processing mechanisms were investigated.

Results: Features extracted from the MST graph achieved a perfect discrimination between individuals with ADHD and neurotypicals (accuracy = 100%, AUC = 1). This result was consistent across multiple classifiers and different types of similarity measures used for graph construction. The most discriminative MST graph features were identified in the alpha band. Significantly reduced leaf number, mean eccentricity, radius, and diameter in the high alpha were the main results. Furthermore, the results revealed lack of frontal processing hubs and weaker frontoparietal connection in the ADHD group.

Conclusion: The results of this study indicated that MST graph features were ideal candidates for investigating underlying mechanisms of ADHD.

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注意缺陷多动障碍（ADHD）和神经正常儿童在视觉注意过程中的脑连接组差异：一项使用最小生成树图、多通道脑电图记录和机器学习的研究。

背景：患有注意缺陷多动障碍（ADHD）的个体执行视觉注意任务的方式与神经正常个体不同。本研究采用多通道心电图记录和图论方法，比较了ADHD与神经正常者在视觉注意时脑连接组的差异。方法：基于不同脑区脑电图数据的相似性，构建神经典型组和ADHD组的最小生成树（MST）图。在不同的脑电信号子频段提取MST特征。使用分类方法评估MST提取的特征的判别能力。通过比较ADHD与神经正常者的图特征，研究了大脑加工机制的差异。结果：从MST图中提取的特征可以很好地区分ADHD个体和神经典型个体（准确率为100%，AUC = 1）。该结果在多个分类器和用于图构建的不同类型的相似性度量中是一致的。在alpha波段识别出最具判别性的MST图特征。叶片数、平均偏心率、叶片半径和叶片直径显著降低是高α的主要结果。此外，研究结果显示，ADHD组缺乏额叶处理中枢和较弱的额顶连接。结论：本研究结果表明，MST图特征是研究ADHD潜在机制的理想候选者。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Applied Neuropsychology: Child CLINICAL NEUROLOGY-PSYCHOLOGY

CiteScore

4.00

自引率

5.90%

发文量

期刊介绍： Applied Neuropsychology: Child publishes clinical neuropsychological articles concerning assessment, brain functioning and neuroimaging, neuropsychological treatment, and rehabilitation in children. Full-length articles and brief communications are included. Case studies of child patients carefully assessing the nature, course, or treatment of clinical neuropsychological dysfunctions in the context of scientific literature, are suitable. Review manuscripts addressing critical issues are encouraged. Preference is given to papers of clinical relevance to others in the field. All submitted manuscripts are subject to initial appraisal by the Editor-in-Chief, and, if found suitable for further considerations are peer reviewed by independent, anonymous expert referees. All peer review is single-blind and submission is online via ScholarOne Manuscripts.