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2至7岁自闭症儿童扁平结构网络变化及超连接性与症状严重程度的关联

Flattened Structural Network Changes and Association of Hyperconnectivity With Symptom Severity in 2-7-Year-Old Children With Autism.

作者信息

Ouyang Minhui, Peng Yun, Sotardi Susan, Hu Di, Zhu Tianjia, Cheng Hua, Huang Hao

机构信息

Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, PA, United States.

Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.

出版信息

Front Neurosci. 2022 Feb 14;15:757838. doi: 10.3389/fnins.2021.757838. eCollection 2021.

Abstract

Understanding the brain differences present at the earliest possible diagnostic age for autism spectrum disorder (ASD) is crucial for delineating the underlying neuropathology of the disorder. However, knowledge of brain structural network changes in the early important developmental period between 2 and 7 years of age is limited in children with ASD. In this study, we aimed to fill the knowledge gap by characterizing age-related brain structural network changes in ASD from 2 to 7 years of age, and identify sensitive network-based imaging biomarkers that are significantly correlated with the symptom severity. Diffusion MRI was acquired in 30 children with ASD and 21 typically developmental (TD) children. With diffusion MRI and quantified clinical assessment, we conducted network-based analysis and correlation between graph-theory-based measurements and symptom severity. Significant age-by-group interaction was found in global network measures and nodal efficiencies during the developmental period of 2-7 years old. Compared with significant age-related growth of the structural network in TD, relatively flattened maturational trends were observed in ASD. Hyper-connectivity in the structural network with higher global efficiency, global network strength, and nodal efficiency were observed in children with ASD. Network edge strength in ASD also demonstrated hyper-connectivity in widespread anatomical connections, including those in default-mode, frontoparietal, and sensorimotor networks. Importantly, identified higher nodal efficiencies and higher network edge strengths were significantly correlated with symptom severity in ASD. Collectively, structural networks in ASD during this early developmental period of 2-7 years of age are characterized by hyper-connectivity and slower maturation, with aberrant hyper-connectivity significantly correlated with symptom severity. These aberrant network measures may serve as imaging biomarkers for ASD from 2 to 7 years of age.

摘要

了解自闭症谱系障碍(ASD)最早诊断年龄时存在的大脑差异对于描绘该疾病的潜在神经病理学至关重要。然而,对于2至7岁这一早期重要发育阶段ASD儿童大脑结构网络变化的了解有限。在本研究中,我们旨在通过描绘2至7岁ASD儿童与年龄相关的大脑结构网络变化来填补这一知识空白,并识别与症状严重程度显著相关的基于网络的敏感成像生物标志物。对30名ASD儿童和21名典型发育(TD)儿童进行了扩散磁共振成像(MRI)检查。通过扩散MRI和量化临床评估,我们进行了基于网络的分析以及基于图论的测量与症状严重程度之间的相关性分析。在2至7岁的发育期间,发现全局网络测量和节点效率存在显著的年龄×组交互作用。与TD组中结构网络与年龄相关的显著增长相比,ASD组观察到相对平缓的成熟趋势。ASD儿童在结构网络中表现出超连接性,具有更高的全局效率、全局网络强度和节点效率。ASD组的网络边缘强度在广泛的解剖连接中也表现出超连接性,包括默认模式、额顶叶和感觉运动网络中的连接。重要的是,在ASD中确定的较高节点效率和较高网络边缘强度与症状严重程度显著相关。总体而言,2至7岁这一早期发育阶段ASD儿童的结构网络具有超连接性和成熟较慢的特征,异常的超连接性与症状严重程度显著相关。这些异常的网络测量指标可能作为2至7岁ASD的成像生物标志物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/628e/8882907/5d518a6e2212/fnins-15-757838-g001.jpg

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