Yixuan Xu , Yexian Zeng , Weizhen Yin , Tong Fu , Danping Hong , Han Yang , Zhihang Zhu , Daomeng Cheng , Caiping Dang , Yan Song , Miancong Li , Yanling Zhou , Chanjuan Yang
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引用次数: 0
Abstract
Background
Attention-Deficit/Hyperactivity Disorder (ADHD) is characterized by impairments in executive functioning, particularly response inhibition (RI). This study combines time-domain analysis and source analyses of event-related potentials (ERPs) to explore the underlying neuropsychological mechanisms of RI deficits in unmedicated youth with ADHD, and assesses ERP features as potential biomarkers to differentiate ADHD from healthy controls (HCs).
Methods
The study included 52 unmedicated youth with ADHD (ages 6–12) and 53 HCs. ERPs were recorded using an oddball paradigm, followed by within- and between-group comparisons. Source localization analysis examined regional brain activation during task performance. Significant ERP features were then used in a machine learning classification model.
Results
Compared to HCs, youth with ADHD exhibited prolonged mismatch negativity (MMN) latency at frontal (Fz) and posterior (Pz) electrodes, and reduced latency at the central (Cz) electrode. Source analysis indicated increased activation in the cuneus and superior temporal gyrus during the MMN-deviant condition, and enhanced activation in the superior parietal lobules, inferior frontal gyrus, and rectal gyrus during the MMN-novelty condition. Additionally, ADHD patients showed higher activation in the middle temporal and middle occipital gyri during the P300-target condition, and increased activation in the superior frontal gyrus and cuneus during the P300-non-target condition. Notably, the classification model achieved an area under curve (AUC) of 0.918 using MMN latency features.
Conclusion
Abnormal ERP patterns in unmedicated youth with ADHD may reflect impaired RI and have potential as neurobiological markers for the disorder.
期刊介绍:
The Journal of Affective Disorders publishes papers concerned with affective disorders in the widest sense: depression, mania, mood spectrum, emotions and personality, anxiety and stress. It is interdisciplinary and aims to bring together different approaches for a diverse readership. Top quality papers will be accepted dealing with any aspect of affective disorders, including neuroimaging, cognitive neurosciences, genetics, molecular biology, experimental and clinical neurosciences, pharmacology, neuroimmunoendocrinology, intervention and treatment trials.