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控制网络功能的破坏与更广泛自闭症谱系中动态连接性的改变相关。

Disruption to control network function correlates with altered dynamic connectivity in the wider autism spectrum.

作者信息

de Lacy N, Doherty D, King B H, Rachakonda S, Calhoun V D

机构信息

Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA 98195, USA; Seattle Children's Research Institute, Center for Integrative Brain Research, Seattle, WA 98105, USA.

Seattle Children's Research Institute, Center for Integrative Brain Research, Seattle, WA 98105, USA; Department of Pediatrics, Divisions of Developmental and Genetic Medicine, University of Washington, Seattle, WA 98195, USA.

出版信息

Neuroimage Clin. 2017 May 27;15:513-524. doi: 10.1016/j.nicl.2017.05.024. eCollection 2017.

DOI:10.1016/j.nicl.2017.05.024
PMID:28652966
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5473646/
Abstract

Autism is a common developmental condition with a wide, variable range of co-occurring neuropsychiatric symptoms. Contrasting with most extant studies, we explored whole-brain functional organization at multiple levels simultaneously in a large subject group reflecting autism's clinical diversity, and present the first network-based analysis of transient brain states, or , in autism. Disruption to inter-network and inter-system connectivity, rather than within individual networks, predominated. We identified coupling disruption in the anterior-posterior default mode axis, and among specific control networks specialized for task start cues and the maintenance of domain-independent task positive status, specifically between the right fronto-parietal and cingulo-opercular networks and default mode network subsystems. These appear to propagate downstream in autism, with significantly dampened subject oscillations between brain states, and dynamic connectivity configuration differences. Our account proposes specific motifs that may provide candidates for neuroimaging biomarkers within heterogeneous clinical populations in this diverse condition.

摘要

自闭症是一种常见的发育状况,伴有广泛且多样的共发神经精神症状。与大多数现有研究不同,我们在一个反映自闭症临床多样性的大型受试者群体中,同时从多个层面探索了全脑功能组织,并首次对自闭症患者的瞬态脑状态(即)进行了基于网络的分析。网络间和系统间的连接中断而非单个网络内的中断占主导地位。我们发现前后默认模式轴以及专门用于任务起始线索和维持领域独立任务积极状态的特定控制网络之间存在耦合中断,特别是在右侧额顶叶和扣带回 - 岛盖网络与默认模式网络子系统之间。这些似乎在自闭症中向下游传播,导致脑状态之间的受试者振荡显著减弱以及动态连接配置差异。我们的研究提出了特定的模式,这些模式可能为这种多样化状况下的异质性临床群体中的神经影像生物标志物提供候选依据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/00aa/5473646/f13805b86d47/gr10.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/00aa/5473646/f13805b86d47/gr10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/00aa/5473646/70e4a6d29826/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/00aa/5473646/efd2966abae0/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/00aa/5473646/c160961a50ea/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/00aa/5473646/b73cb17cf2a2/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/00aa/5473646/fc277dec503d/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/00aa/5473646/85791e257cf2/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/00aa/5473646/e60ddadec650/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/00aa/5473646/f106b541a6f3/gr8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/00aa/5473646/3d0beacb5c35/gr9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/00aa/5473646/f13805b86d47/gr10.jpg

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