跨越五个功能激活任务的自闭症连接体变异模式:来自LEAP项目的发现。

IF 6.3 1区 医学 Q1 GENETICS & HEREDITY
Tristan Looden, Dorothea L Floris, Alberto Llera, Roselyne J Chauvin, Tony Charman, Tobias Banaschewski, Declan Murphy, Andre F Marquand, Jan K Buitelaar, Christian F Beckmann
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引用次数: 0

摘要

背景:自闭症谱系障碍(Autism spectrum disorder, Autism)是一种复杂的神经发育疾病,具有明显的个体行为、认知和神经异质性。在这里,我们的目标是通过识别自闭症患者参与各种认知任务的方式在BOLD fMRI中反映的神经多样性模式来表征自闭症的异质性。方法:所有分析均基于EU-AIMS/AIMS-2-TRIALS多站点欧洲自闭症纵向项目(LEAP),参与者为6至30岁的自闭症患者(n = 282)和典型发育(TD)对照(n = 221)。我们采用了一种新的任务效能方法,该方法结合了静息状态功能磁共振成像和任务-功能磁共振成像的独特方面来量化功能连接组中任务诱导的变化。规范建模被用来映射特征的非典型性在个体的基础上,相对于他们在神经典型控制参与者的分布。我们应用鲁棒样本外典型相关分析(CCA)将连接组数据与行为数据联系起来。结果:与TD相比,在每个fMRI任务范式中,自闭症个体与全球功能连通性的偏离范围更大(所有任务)。结论:自闭症个体以整体非典型的方式参与任务,但这种非典型的特定空间模式在各个任务中是相似的。任务的非典型性主要来自前额皮质和默认模式网络区域,但也来自语音和听觉网络。我们展示了复杂的建模方法,如任务效能和规范建模可以用来解开复杂的异质条件,如自闭症。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Patterns of connectome variability in autism across five functional activation tasks: findings from the LEAP project.

Background: Autism spectrum disorder (autism) is a complex neurodevelopmental condition with pronounced behavioral, cognitive, and neural heterogeneities across individuals. Here, our goal was to characterize heterogeneity in autism by identifying patterns of neural diversity as reflected in BOLD fMRI in the way individuals with autism engage with a varied array of cognitive tasks.

Methods: All analyses were based on the EU-AIMS/AIMS-2-TRIALS multisite Longitudinal European Autism Project (LEAP) with participants with autism (n = 282) and typically developing (TD) controls (n = 221) between 6 and 30 years of age. We employed a novel task potency approach which combines the unique aspects of both resting state fMRI and task-fMRI to quantify task-induced variations in the functional connectome. Normative modelling was used to map atypicality of features on an individual basis with respect to their distribution in neurotypical control participants. We applied robust out-of-sample canonical correlation analysis (CCA) to relate connectome data to behavioral data.

Results: Deviation from the normative ranges of global functional connectivity was greater for individuals with autism compared to TD in each fMRI task paradigm (all tasks p < 0.001). The similarity across individuals of the deviation pattern was significantly increased in autistic relative to TD individuals (p < 0.002). The CCA identified significant and robust brain-behavior covariation between functional connectivity atypicality and autism-related behavioral features.

Conclusions: Individuals with autism engage with tasks in a globally atypical way, but the particular spatial pattern of this atypicality is nevertheless similar across tasks. Atypicalities in the tasks originate mostly from prefrontal cortex and default mode network regions, but also speech and auditory networks. We show how sophisticated modeling methods such as task potency and normative modeling can be used toward unravelling complex heterogeneous conditions like autism.

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来源期刊
Molecular Autism
Molecular Autism GENETICS & HEREDITY-NEUROSCIENCES
CiteScore
12.10
自引率
1.60%
发文量
44
审稿时长
17 weeks
期刊介绍: Molecular Autism is a peer-reviewed, open access journal that publishes high-quality basic, translational and clinical research that has relevance to the etiology, pathobiology, or treatment of autism and related neurodevelopmental conditions. Research that includes integration across levels is encouraged. Molecular Autism publishes empirical studies, reviews, and brief communications.
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