Beyond diagnosis: Cross-diagnostic features in canonical resting-state networks in children with neurodevelopmental disorders.
Beyond diagnosis: Cross-diagnostic features in canonical resting-state networks in children with neurodevelopmental disorders.
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DOI：
10.1016/j.nicl.2020.102476
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发表时间：
2020
期刊：
影响因子：
--
通讯作者：
Anagnostou E
中科院分区：
文献类型：
--
作者：
Choi EJ;Vandewouw MM;Taylor MJ;Arnold PD;Brian J;Crosbie J;Kelley E;Lai MC;Liu X;Schachar RJ;Lerch JP;Anagnostou E
静息状态连接在神经发育障碍中没有差异。所有参与者的一般适应功能与皮层下连接有关。相同数据驱动集群中的参与者在诊断方面存在高度异质性。神经生物学的相似性和不相似性可以在超诊断类别中看到。神经发育障碍（NDD）儿童有共同的行为表现，尽管不同的分类诊断标准。在这里，我们检查了三个诊断组（自闭症谱系障碍，注意力缺陷/多动障碍和儿童强迫症）的典型静息状态网络连接，并在一个大型单点样本（N = 407）中典型地开发对照（TD），应用基于诊断和维度的方法来理解NDD的潜在神经生物学。每个参与者的功能网络图计算使用五个图形度量。在基于诊断的比较中，进行协方差分析以比较所有NDD与TD，然后进行NDD之间的成对比较。在维度方法中，参与者的功能网络图与连续的行为测量相关，并且应用数据驱动的k均值聚类分析来确定是否观察到参与者的亚组，而不包括诊断信息。在基于诊断的比较中，在所有图形指标中，NDD儿童与TD组没有显著差异，NDD分类组之间也没有显著差异。然而，在维度上，诊断独立的方法，皮质下功能连接显着相关的参与者的一般适应功能在所有参与者。聚类分析确定了两个集群的最佳解决方案，分配在同一数据驱动的集群中的参与者在诊断中具有高度异质性。没有一个集群专门包含一个特定的诊断组，NDD也没有从TD中完全分离出来。每个参与者的两个集群之间的距离比显着相关的一般适应功能，社会缺陷和注意力问题。我们的研究结果表明，神经生物学的相似性和NDD之间的不相似性需要超越DSM/ICD为基础的，行为定义的诊断类别进行调查。
Resting-state connectivity did not differ across neurodevelopmental disorders. General adaptive function across all participants related to subcortical connectivity. Participants in the same data-driven clusters were highly heterogeneous in diagnosis. Neurobiological similarity and dissimilarity may be seen in beyond-diagnosis categories. Children with neurodevelopmental disorders (NDDs) share common behavioural manifestations despite distinct categorical diagnostic criteria. Here, we examined canonical resting-state network connectivity in three diagnostic groups (autism spectrum disorder, attention-deficit/hyperactivity disorder and paediatric obsessive–compulsive disorder) and typically developing controls (TD) in a large single-site sample (N = 407), applying diagnosis-based and dimensional approaches to understand underlying neurobiology across NDDs. Each participant’s functional network graphs were computed using five graph metrics. In diagnosis-based comparisons, an analysis of covariance was performed to compare all NDDs to TD, followed by pairwise comparisons between NDDs. In the dimensional approach, participants’ functional network graphs were correlated with continuous behavioural measures, and a data-driven k-means clustering analysis was applied to determine if subgroups of participants were seen, without diagnostic information having been included. In the diagnosis-based comparisons, children with NDDs did not differ significantly from the TD group and the NDD categorical groups also did not differ significantly from each other, across all graph metrics. In the dimensional, diagnostic-independent approach, however, subcortical functional connectivity was significantly correlated with participants’ general adaptive functioning across all participants. The clustering analysis identified an optimal solution of two clusters, and participants assigned in the same data-driven cluster were highly heterogeneous in diagnosis. Neither cluster exclusively contained a specific diagnostic group, nor did NDDs separate cleanly from TDs. Each participant’s distance ratio between the two clusters was significantly correlated with general adaptive functioning, social deficits and attentional problems. Our results suggest the neurobiological similarity and dissimilarity between NDDs need to be investigated beyond DSM/ICD-based, behaviourally-defined diagnostic categories.
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影响因子：
11
作者：
Di Martino, A.;Yan, C-G;Li, Q.;Denio, E.;Castellanos, F. X.;Alaerts, K.;Anderson, J. S.;Assaf, M.;Bookheimer, S. Y.;Dapretto, M.;Deen, B.;Delmonte, S.;Dinstein, I.;Ertl-Wagner, B.;Fair, D. A.;Gallagher, L.;Kennedy, D. P.;Keown, C. L.;Keysers, C.;Lainhart, J. E.;Lord, C.;Luna, B.;Menon, V.;Minshew, N. J.;Monk, C. S.;Mueller, S.;Mueller, R. A.;Nebel, M. B.;Nigg, J. T.;O'Hearn, K.;Pelphrey, K. A.;Peltier, S. J.;Rudie, J. D.;Sunaert, S.;Thioux, M.;Tyszka, J. M.;Uddin, L. Q.;Verhoeven, J. S.;Wenderoth, N.;Wiggins, J. L.;Mostofsky, S. H.;Milham, M. P.
通讯作者：
Milham, M. P.
影响因子：
4.7
作者：
Easson, Amanda K.;Fatima, Zainab;McIntosh, Anthony R.
通讯作者：
McIntosh, Anthony R.
影响因子：
25.8
作者：
Cerliani, Leonardo;Mennes, Maarten;Thomas, Rajat M.;Di Martino, Adriana;Thioux, Marc;Keysers, Christian
通讯作者：
Keysers, Christian
影响因子：
3
作者：
HD-200 Consortium
通讯作者：
HD-200 Consortium
影响因子：
4.7
作者：
Easson, Amanda K.;McIntos, Anthony R.
通讯作者：
McIntos, Anthony R.