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Updated: Jul 25, 2025

Event Related Potentials ERPs and other EEG Based Methods for Extracting Biomarkers of Brain Dysfunction: Examples from Pediatric Attention Deficit/Hyperactivity Disorder ADHD
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Published on: March 12, 2020

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从神经认知测试和青少年特征中对儿童ADHD症状的可概括预测

Alexander Weigard1, Katherine L McCurry2, Zvi Shapiro3

  • 1Department of Psychiatry, University of Michigan, Ann Arbor, USA. asweigar@med.umich.edu.

Translational psychiatry
|June 24, 2023
PubMed
概括

机器学习模型可以利用神经认知能力和其他因素预测儿童注意力缺陷/多动症 (ADHD) 症状. 这些模型显示出对青少年ADHD症状的概括性预测有前途.

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Attention-deficit/hyperactivity disorder (ADHD) is a neurodevelopmental disorder characterized by persistent inattention, hyperactivity, and impulsivity. It affects approximately 5-8% of children globally, with around 60-70% of cases persisting into adulthood. ADHD has significant implications for educational attainment, social interactions, and occupational success.
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