Connectivity alterations in autism reflect functional idiosyncrasy.

Connectivity alterations in autism reflect functional idiosyncrasy.
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DOI:
10.1038/s42003-021-02572-6
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发表时间:
2021-09-15
影响因子:
5.9
通讯作者:
C Bernhardt B
C Bernhardt B
中科院分区:
生物学2区
文献类型:
--
作者:
Benkarim O;Paquola C;Park BY;Hong SJ;Royer J;Vos de Wael R;Lariviere S;Valk S;Bzdok D;Mottron L;C Bernhardt B

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自闭症谱系障碍(ASD)通常被认为是大脑网络的改变,但对典型发育对照(TD)的病例对照分析得出了不一致的结果。在这里,我们设计了一种新的方法来分析功能网络组织中的个体间变异性,并测试这种特异性是否有助于ASD的连接改变。通过研究一个包含157个ASD和172个TD的多中心数据集,我们获得了强有力的证据,证明ASD在默认模式、躯体运动和注意力网络中相对于TD的特异质增加,但在侧颞皮质中的特异质也减少。在ASD中,特异质随年龄增加而增加,并与症状严重程度显著相关。此外,虽然功能特异性的模式与ASD相关的皮质厚度改变无关,但它们与ASD风险基因的表达模式共定位。值得注意的是,我们可以证明,ASD的非典型特异质模式与传统病例对照设计可测量的连接改变密切重叠,因此可能是自闭症连接组学文献中不一致的主要驱动因素。这些发现支持自闭症个体间异质性和功能特征之间的重要相互作用。我们的研究结果提供了新的生物标志物来研究非典型的大脑发育,并可能巩固以前的研究结果的可变性质的连接体水平异常的自闭症。Benkarim等人设计了一种方法来分析功能网络组织中的个体间差异,并测试这种特质是否有助于自闭症谱系障碍中发现的连接改变。他们的方法为研究非典型大脑发育提供了潜在的生物标志物,并可用于巩固先前关于自闭症连接体水平异常的可变性质的研究结果。
Autism spectrum disorder (ASD) is commonly understood as an alteration of brain networks, yet case-control analyses against typically-developing controls (TD) have yielded inconsistent results. Here, we devised a novel approach to profile the inter-individual variability in functional network organization and tested whether such idiosyncrasy contributes to connectivity alterations in ASD. Studying a multi-centric dataset with 157 ASD and 172 TD, we obtained robust evidence for increased idiosyncrasy in ASD relative to TD in default mode, somatomotor and attention networks, but also reduced idiosyncrasy in lateral temporal cortices. Idiosyncrasy increased with age and significantly correlated with symptom severity in ASD. Furthermore, while patterns of functional idiosyncrasy were not correlated with ASD-related cortical thickness alterations, they co-localized with the expression patterns of ASD risk genes. Notably, we could demonstrate that patterns of atypical idiosyncrasy in ASD closely overlapped with connectivity alterations that are measurable with conventional case-control designs and may, thus, be a principal driver of inconsistency in the autism connectomics literature. These findings support important interactions between inter-individual heterogeneity in autism and functional signatures. Our findings provide novel biomarkers to study atypical brain development and may consolidate prior research findings on the variable nature of connectome level anomalies in autism. Benkarim et al devise an approach to profile inter-individual variability in functional network organization and test whether such idiosyncrasy contributes to the connectivity alterations found in Autism Spectrum Disorder. Their approach provides potential biomarkers to study atypical brain development and may be used to consolidate prior research findings on the variable nature of connectome level anomalies in autism.
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