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相关概念视频

Attention-Deficit/Hyperactivity Disorder01:30

Attention-Deficit/Hyperactivity Disorder

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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.
Diagnostic Criteria and Symptoms
To diagnose ADHD, symptoms must manifest before age 12 and be evident across multiple settings....
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Modeling in Therapy01:26

Modeling in Therapy

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Modeling, a key technique in therapy, uses observational learning to help clients acquire and practice new skills by watching therapists demonstrate desired behaviors. This approach, rooted in Albert Bandura's concept of vicarious learning, plays a significant role in therapeutic interventions for various psychological conditions, including social anxiety, ADHD, and depression.
Participant Modeling
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相关实验视频

Updated: Jul 10, 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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通过微状态分析和复杂网络识别ADHD和亚型.

Lorraine Marques Alves1, Klaus Fabian Côco2, Mariane Lima De Souza3

  • 1Department of Electrical Engineering, Universidade Federal do Espírito Santo, Av. Fernando Ferrari, Vitória, 100190, ES, Brazil. lorraine_ma@hotmail.com.

Medical & biological engineering & computing
|November 20, 2023
PubMed
概括

这项研究引入了与事件相关的潜在 (ERP) 微状态的新型复杂网络分析,以诊断注意力缺陷多动症障碍 (ADHD). 该方法使用拓特征准确识别ADHD及其亚型,为诊断提供了一个有前途的生物标志物.

关键词:
更多关于 ADHD ADHD 的文章复杂的网络是一个复杂的网络.机器学习是机器学习.微观状态 微观状态

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Probing the Brain in Autism Using fMRI and Diffusion Tensor Imaging
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相关实验视频

Last Updated: Jul 10, 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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科学领域:

  • 神经科学是一个神经科学.
  • 认知科学 认知科学
  • 生物医学工程 生物医学工程

背景情况:

  • 注意缺陷多动症 (ADHD) 的诊断依赖于主观的评估.
  • 需要客观的生物标志物来帮助诊断ADHD,特别是在儿童中.
  • 与事件相关的潜能 (ERP) 提供了对认知过程的动态洞察.

研究的目的:

  • 用ERP微态分析开发一种新的ADHD诊断方法.
  • 研究ERP微状态复杂网络特征的实用性,用于识别ADHD及其亚型.
  • 将拟议的方法与现有技术比较,例如光谱分析和波纹变换.

主要方法:

  • 使用复杂网络建模ERP-microstate地形图.
  • 分析这些网络的全球和本地拓特征.
  • 使用神经网络与衍生出的拓特征对ADHD患者和对照组进行分类.

主要成果:

  • 在ADHD患者和健康对照人群之间发现了显著的拓差异.
  • 提出的方法实现了很高的分类准确性:对二进制分类达到99.72%,对亚型分类达到99.31%.
  • ERP-微状态网络的拓特征超过了功率光谱密度,波形系数和时间ERP特征.

结论:

  • ERP微态网络的拓特征为ADHD识别提供了一个有前途的方法.
  • ERP微状态的复杂网络分析可以有效地将ADHD与对照区分开来,并对亚型进行分类.
  • 这种方法为ADHD诊断提供了潜在的客观生物标志物.