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相关概念视频

Attention-Deficit/Hyperactivity Disorder01:30

Attention-Deficit/Hyperactivity Disorder

68
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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Functional Brain Systems: Reticular Formation01:13

Functional Brain Systems: Reticular Formation

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The reticular formation is a complex network of gray and white matter located within the brainstem extending from the medulla to the midbrain.
Within the reticular formation, there are several distinct nuclei that can be classified into three broad categories. The Raphe nuclei are located along the midline of the brainstem. They are primarily known for their role in synthesizing and releasing serotonin, a neurotransmitter involved in regulating mood, appetite, sleep, and circadian rhythms. The...
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相关实验视频

Updated: Jul 8, 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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核心-外围结构中的异常功能连接基于ADHD中的WSBM.

Dandan Li1, Dianni Hou1, Yating Zhang1

  • 1Taiyuan University of Technology, Shanxi, China.

Journal of attention disorders
|December 16, 2023
PubMed
概括

注意缺陷多动性障碍 (ADHD) 显示了大脑网络社区结构的改变. 这项研究揭示了ADHD中核心-外周结构异常,提供了超越模块化分析的新见解.

科学领域:

  • 神经科学是一个神经科学.
  • 大脑网络分析 脑网络分析
  • 计算精神病学是一种计算精神病学.

背景情况:

  • 之前在注意力缺陷多动症 (ADHD) 中的大脑网络研究主要集中在模块化社区结构上.
  • 在ADHD中,功能连接 (FC) 的核心-外围组织仍然未被探索,可能会限制对网络变化的全面理解.

研究的目的:

  • 研究ADHD患者大脑功能连接的核心-外围社区结构.
  • 评估连接强度 (CS) 的变化,并应用中断指数 (DI) 来描述这些核心-外围变化.

主要方法:

  • 利用加权随机区块模型将功能连接分成10个不同的社区.
  • 使用核心得分指标定义了核心-外围结构.
  • 评估CS和DI的变化,以量化核心-外围组织的变化.

主要成果:

  • 视觉网络的核心社区表现出降低的CS和积极的DI,表明中断.
  • 视觉网络的边缘社区显示了增强的CS.
  • 在核心感觉运动/视觉网络与注意网络外围之间的相互作用中观察到增加的CS和负的DI.

结论:

  • 核心-外围社区结构中的异常代表了理解ADHD中大脑网络组织的新视角.
关键词:
更多关于 ADHD ADHD 的文章社区检测 社区检测核心边缘结构 核心边缘结构功能连接性的功能连接性

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  • 这些发现表明,ADHD涉及到大脑网络层次组织的特定干扰,影响核心和外围社区的相互作用.