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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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休息状态功能连接预测儿童注意力问题:来自ABCD研究的证据

Kelly A Duffy1, Nathaniel E Helwig1,2

  • 1Department of Psychology, University of Minnesota, 75 E River Road, Minneapolis, MN 55455, USA.

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概括
此摘要是机器生成的。

父母吸毒和生理性是儿童注意力问题的关键预测因素. 减少大脑网络,特别是默认模式和背部注意力网络之间的反相关性,与增加的注意力困难有关.

关键词:
普森回归是一种回归式.青少年大脑认知发展 (ABCD)注意缺陷/多动障碍 (ADHD) 是一种注意缺陷/多动障碍.功能磁共振成像 (fMRI) 是一种功能性磁共振成像.群体弹性网 群体弹性网

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科学领域:

  • 神经科学是一个神经科学.
  • 发展心理学 发展心理学
  • 精神病学是一个精神病学.

背景情况:

  • 注意缺陷/多动障碍 (ADHD) 是一种流行的神经发育障碍.
  • 以前的研究表明,ADHD患者的大脑有显著差异.

研究的目的:

  • 调查休息状态功能性大脑连接和儿童ADHD症状之间的关系.
  • 确定注意力问题的关键预测因素,包括神经成像和人口因素.

主要方法:

  • 利用了来自9-10岁儿童青少年大脑认知发展研究 (N=7979) 的数据.
  • 采用交叉验证的Poisson弹性净回归来预测休息状态功能连接和风险因素的ADHD症状.
  • 分析了网络内部和网络之间的相关性,生物学性别,社会经济地位和父母的药物使用史.

主要成果:

  • 父母使用毒品的历史和生物性已成为注意力问题的最强有力的预测因素.
  • 默认模式网络和背部注意网络之间的反相关性是唯一重要的大脑网络预测因素.
  • 这两个网络之间的反相关性减少与注意力问题加剧相关.

结论:

  • 休息状态的功能连接,特别是默认模式和背部注意网络的相互作用,为注意力问题提供了洞察力.
  • 这项研究强调了在了解儿童注意力困难时考虑遗传/环境风险因素和神经网络动态的重要性.