Characterizing heterogeneity in children with and without ADHD based on reward system connectivity.
Characterizing heterogeneity in children with and without ADHD based on reward system connectivity.
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DOI：
10.1016/j.dcn.2014.12.005
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发表时间：
2015-02
影响因子：
4.7
通讯作者：
Fair, Damien A.
中科院分区：
文献类型：
--
作者：
Dias, Taciana G. Costa;Iyer, Swathi P.;Carpenter, Samuel D.;Cary, Robert P.;Wilson, Vanessa B.;Mitchell, Suzanne H.;Nigg, Joel T.;Fair, Damien A.
关键词：
异质性限制了我们识别ADHD潜在神经生物学的能力。我们使用神经成像数据和社区检测来识别儿童亚群。我们确定了患有和不患有ADHD的儿童的三个亚组。ADHD中的非典型连接是亚组成员特有的。亚组的分化与延迟折扣和活动水平有关。限制我们阐明ADHD病因能力的一个潜在障碍是疾病内部的异质性，以及典型样本中的异质性。在这项研究中，我们对106名患有和不患有ADHD的儿童(7-12岁)进行了社区检测，以基于奖励系统的连通性来识别潜在的参与者亚群。将患有ADHD的儿童与每个确定的社区中典型的发育儿童进行比较，目的是找到社区特有的ADHD特征。此外，为了评估分组中的组织如何与行为相关，我们评估了每个社区内与延迟折扣梯度和冲动相关的气质特征。我们发现，不连续的子群被识别出来，这些子群表征了奖励系统中不同的连接特征。重要的是，与对照儿童相比，ADHD儿童中哪些联系是不典型的，这是社区成员特有的。我们的发现表明，根据大脑功能的连通性，ADHD儿童和典型的发育中儿童可以被分为不同的亚组。结果还表明，在“功能”亚群中的分化与特定的行为特征有关，在这种情况下，冲动。因此，结合神经成像数据和社区检测可能是阐明ADHD病因的异质性和检查ADHD神经生物学的有价值的方法。
Heterogeneity limits our ability to identify the underlying neurobiology of ADHD. We used neuroimaging data and community detection to identify subgroups of children. We identified three subgroups of children with and without ADHD. Atypical connections in ADHD were specific to subgroup membership. Differentiation in subgroups is related to delay discounting and activity level. One potential obstacle limiting our ability to clarify ADHD etiology is the heterogeneity within the disorder, as well as in typical samples. In this study, we utilized a community detection approach on 106 children with and without ADHD (aged 7–12 years), in order to identify potential subgroups of participants based on the connectivity of the reward system. Children with ADHD were compared to typically developing children within each identified community, aiming to find the community-specific ADHD characteristics. Furthermore, to assess how the organization in subgroups relates to behavior, we evaluated delay-discounting gradient and impulsivity-related temperament traits within each community. We found that discrete subgroups were identified that characterized distinct connectivity profiles in the reward system. Importantly, which connections were atypical in ADHD relative to the control children were specific to the community membership. Our findings showed that children with ADHD and typically developing children could be classified into distinct subgroups according to brain functional connectivity. Results also suggested that the differentiation in “functional” subgroups is related to specific behavioral characteristics, in this case impulsivity. Thus, combining neuroimaging data and community detection might be a valuable approach to elucidate heterogeneity in ADHD etiology and examine ADHD neurobiology.
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DOI：
10.1073/pnas.0504136102
发表时间：
2005-07-05
影响因子：
11.1
作者：
Fox, MD;Snyder, AZ;Raichle, ME
通讯作者：
Raichle, ME
影响因子：
10.6
作者：
Fair, Damien A.;Posner, Jonathan;Nagel, Bonnie J.;Bathula, Deepti;Dias, Taciana G. Costa;Mills, Kathryn L.;Blythe, Michael S.;Giwa, Aishat;Schmitt, Colleen F.;Nigg, Joel T.
通讯作者：
Nigg, Joel T.
影响因子：
3.7
作者：
Furukawa E;Bado P;Tripp G;Mattos P;Wickens JR;Bramati IE;Alsop B;Ferreira FM;Lima D;Tovar-Moll F;Sergeant JA;Moll J
通讯作者：
Moll J
DOI：
10.1073/pnas.1115365109
发表时间：
2012-04-24
影响因子：
11.1
作者：
Fair, Damien A.;Bathula, Deepti;Nigg, Joel T.
通讯作者：
Nigg, Joel T.
影响因子：
3
作者：
Bitsakou, P;Antrop, I;Sonuga-Barke, EJS
通讯作者：
Sonuga-Barke, EJS