Quasi-periodic patterns of brain activity in individuals with attention-deficit/hyperactivity disorder
Quasi-periodic patterns of brain activity in individuals with attention-deficit/hyperactivity disorder
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DOI：
10.1016/j.nicl.2019.101653
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发表时间：
2019-01-01
影响因子：
4.2
通讯作者：
Keilholz, Shella
中科院分区：
文献类型：
--
作者：
Abbas, Anzar;Bassil, Yasmine;Keilholz, Shella
注意力缺陷/多动障碍患者在默认模式和任务积极网络中的功能连接被破坏。传统的功能磁共振成像分析技术，专注于“静态”的功能连接的变化，已成功地确定健康对照组和ADHD个体之间的差异。然而，这种分析无法解释所观察到的功能连接差异背后的机制。在这里，我们通过调查准周期模式（QPP）研究ADHD患者功能连接的动态变化。QPP是与亚慢速电活动相关的大脑中可靠地重复出现的低频时空模式。它们已被证明有助于通过静态分析技术观察到的功能连接。我们发现，QPP有助于功能连接，特别是在ADHD患者中被破坏的区域。ADHD患者在QPP中观察到的时空模式也存在差异。这种差异导致QPP对默认模式和任务正性网络中功能连接的贡献较弱。我们的结论是，准周期性模式提供了深入了解的机制背后的功能连接的差异，在个人与多动症。这允许更好地了解疾病的病因和有效治疗的发展。
Individuals with attention-deficit/hyperactivity disorder have disrupted functional connectivity in the default mode and task positive networks. Traditional fMRI analysis techniques that focus on 'static' changes in functional connectivity have been successful in identifying differences between healthy controls and individuals with ADHD. However, such analyses are unable to explain the mechanisms behind the functional connectivity differences observed. Here, we study dynamic changes in functional connectivity in individuals with ADHD through investigation of quasi-periodic patterns (QPPs). QPPs are reliably recurring low-frequency spatiotemporal patterns in the brain linked to infra-slow electrical activity. They have been shown to contribute to functional connectivity observed through static analysis techniques. We find that QPPs contribute to functional connectivity specifically in regions that are disrupted in individuals with ADHD. Individuals with ADHD also show differences in the spatiotemporal pattern observed within the QPPs. This difference results in a weaker contribution of QPPs to functional connectivity in the default mode and task positive networks. We conclude that quasi-periodic patterns provide insight into the mechanisms behind functional connectivity differences seen in individuals with ADHD. This allows for a better understanding of the etiology of the disorder and development of effective treatments.