Functional connectivity between the visual and salience networks and autistic social features at school-age.

IF 4.1 2区 医学 Q1 CLINICAL NEUROLOGY
Jessica B Girault, Tomoyuki Nishino, Muhamed Talović, Mary Beth Nebel, Margaret Reynolds, Catherine A Burrows, Jed T Elison, Chimei M Lee, Abraham Z Snyder, Mark D Shen, Audrey M Shen, Kelly N Botteron, Annette M Estes, Stephen R Dager, Guido Gerig, Heather C Hazlett, Natasha Marrus, Robert C McKinstry, Juhi Pandey, Robert T Schultz, Tanya St John, Martin A Styner, Lonnie Zwaigenbaum, Alexandre A Todorov, Joseph Piven, John R Pruett
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Abstract

Background: Autism spectrum disorder (ASD) is highly heritable and phenotypically variable. Neuroimaging markers reflecting variation in behavior will provide insights into circuitry subserving core features. We examined functional correlates of ASD symptomology at school-age, while accounting for associated behavioral and cognitive domains, in a longitudinal sample followed from infancy and enriched for those with a genetic liability for ASD.

Methods: Resting state functional connectivity MRIs (fcMRI) and behavioral data were analyzed from 97 school-age children (8.1-12.0 years, 55 males, 15 ASD) with (n = 63) or without (n = 34) a family history of ASD. fcMRI enrichment analysis (EA) was used to screen for associations between network-level functional connectivity and six behaviors of interest in a data-driven manner: social affect, restricted and repetitive behavior (RRB), generalized anxiety, inattention, motor coordination, and matrix reasoning.

Results: Functional connectivity between the visual and salience networks was significantly associated with social affect symptoms at school-age after accounting for all other behaviors. Results indicated that stronger connectivity was associated with higher social affect scores. No other behaviors were robustly associated with functional connectivity, though trends were observed between visual-salience connectivity and RRBs.

Conclusions: Connectivity between the visual and salience networks may play an important role in social affect symptom variability among children with ASD and those with genetic liability for ASD. These findings align with and extend earlier reports in this sample of the central role of the visual system during infancy in ASD.

学龄期孤独症社会特征与视觉和显著性网络的功能连接。
背景:自闭症谱系障碍(ASD)具有高度的遗传性和表型变异性。反映行为变化的神经成像标记将提供对服务于核心特征的电路的见解。我们检查了学龄期ASD症状的功能相关性,同时考虑了相关的行为和认知领域,在一个纵向样本中,从婴儿期开始,并对那些有ASD遗传倾向的人进行了丰富的研究。方法:对97名有ASD家族史(n = 63)或无ASD家族史(n = 34)的学龄儿童(8.1-12.0岁,男性55名,15名ASD)的静息状态功能连接核磁共振成像(fcMRI)和行为数据进行分析。fcMRI富集分析(EA)以数据驱动的方式筛选网络级功能连接与六种感兴趣的行为之间的关联:社会影响、限制和重复行为(RRB)、广泛性焦虑、注意力不集中、运动协调和矩阵推理。结果:在考虑了所有其他行为后,视觉和显著性网络之间的功能连通性与学龄期社会影响症状显著相关。结果表明,更强的连通性与更高的社会影响得分相关。虽然在视觉显著性连接和RRBs之间观察到了趋势,但没有其他行为与功能连接密切相关。结论:视觉网络和显著性网络之间的连通性可能在ASD儿童和ASD遗传易感性儿童的社会影响症状变异性中起重要作用。这些发现与早期关于视觉系统在ASD婴儿期的核心作用的报告一致并扩展了该样本。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
7.60
自引率
4.10%
发文量
58
审稿时长
>12 weeks
期刊介绍: Journal of Neurodevelopmental Disorders is an open access journal that integrates current, cutting-edge research across a number of disciplines, including neurobiology, genetics, cognitive neuroscience, psychiatry and psychology. The journal’s primary focus is on the pathogenesis of neurodevelopmental disorders including autism, fragile X syndrome, tuberous sclerosis, Turner Syndrome, 22q Deletion Syndrome, Prader-Willi and Angelman Syndrome, Williams syndrome, lysosomal storage diseases, dyslexia, specific language impairment and fetal alcohol syndrome. With the discovery of specific genes underlying neurodevelopmental syndromes, the emergence of powerful tools for studying neural circuitry, and the development of new approaches for exploring molecular mechanisms, interdisciplinary research on the pathogenesis of neurodevelopmental disorders is now increasingly common. Journal of Neurodevelopmental Disorders provides a unique venue for researchers interested in comparing and contrasting mechanisms and characteristics related to the pathogenesis of the full range of neurodevelopmental disorders, sharpening our understanding of the etiology and relevant phenotypes of each condition.
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