无监督机器学习用于识别基于认知功能和它们对大脑结构的影响的注意力缺陷/多动性障碍亚型

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

Published on: March 12, 2020

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Masatoshi Yamashita1,2, Qiulu Shou1,2, Yoshifumi Mizuno1,2,3

  • 1Research Center for Child Mental Development, University of Fukui, Fukui, Japan.

Psychological medicine
|September 26, 2024
PubMed
概括

注意缺陷/多动障碍 (ADHD) 有不同的亚型. 一个亚型,ADHD-C,显示特定区域的大脑体积较小,与语言缺陷有关,解释了ADHD研究中的不一致的发现.

关键词:
注意力缺陷/多动症障碍.大脑结构 大脑结构认知功能 认知功能异质性的异质性无监督的机器学习

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