Donders Institute for Brain, Cognition, and Behavior, Radboud University Nijmegen, Nijmegen, The Netherlands; Department for Cognitive Neuroscience, Radboud University Medical Center Nijmegen, Nijmegen, The Netherlands.
Donders Institute for Brain, Cognition, and Behavior, Radboud University Nijmegen, Nijmegen, The Netherlands; Department of Psychology, University of Oslo, Norway; Norwegian Center for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, University of Oslo Hospital and Oslo University Hospital, Oslo, Norway.
Biol Psychiatry Cogn Neurosci Neuroimaging. 2021 Aug;6(8):802-812. doi: 10.1016/j.bpsc.2020.08.008. Epub 2020 Aug 25.
Autism spectrum disorder ("autism") is a highly heterogeneous neurodevelopmental condition with few effective treatments for core and associated features. To make progress we need to both identify and validate neural markers that help to parse heterogeneity to tailor therapies to specific neurobiological profiles. Atypical hemispheric lateralization is a stable feature across studies in autism, but its potential as a neural stratification marker has not been widely examined.
In order to dissect heterogeneity in lateralization in autism, we used the large EU-AIMS (European Autism Interventions-A Multicentre Study for Developing New Medications) Longitudinal European Autism Project dataset comprising 352 individuals with autism and 233 neurotypical control subjects as well as a replication dataset from ABIDE (Autism Brain Imaging Data Exchange) (513 individuals with autism, 691 neurotypical subjects) using a promising approach that moves beyond mean group comparisons. We derived gray matter voxelwise laterality values for each subject and modeled individual deviations from the normative pattern of brain laterality across age using normative modeling.
Individuals with autism had highly individualized patterns of both extreme right- and leftward deviations, particularly in language, motor, and visuospatial regions, associated with symptom severity. Language delay explained most variance in extreme rightward patterns, whereas core autism symptom severity explained most variance in extreme leftward patterns. Follow-up analyses showed that a stepwise pattern emerged, with individuals with autism with language delay showing more pronounced rightward deviations than individuals with autism without language delay.
Our analyses corroborate the need for novel (dimensional) approaches to delineate the heterogeneous neuroanatomy in autism and indicate that atypical lateralization may constitute a neurophenotype for clinically meaningful stratification in autism.
自闭症谱系障碍(“自闭症”)是一种高度异质的神经发育障碍,针对核心和相关特征的有效治疗方法很少。为了取得进展,我们既需要识别和验证有助于解析异质性的神经标记物,以便将疗法针对特定的神经生物学特征进行定制。在自闭症的研究中,非典型的半球侧化是一个稳定的特征,但它作为神经分层标记物的潜力尚未得到广泛研究。
为了剖析自闭症中侧化的异质性,我们使用了包含 352 名自闭症患者和 233 名神经典型对照者的大型 EU-AIMS(欧洲自闭症干预-开发新药物多中心研究)纵向欧洲自闭症项目数据集,以及来自 ABIDE(自闭症脑成像数据交换)的复制数据集(513 名自闭症患者,691 名神经典型受试者),使用一种有前途的方法超越了平均组比较。我们为每个受试者推导了灰质体素的侧化值,并使用规范建模来模拟个体在年龄范围内偏离大脑侧化的规范模式的偏差。
自闭症患者表现出高度个体化的极端右侧和左侧偏差模式,特别是在语言、运动和视空间区域,与症状严重程度相关。语言延迟解释了极端右侧模式的大部分方差,而核心自闭症症状严重程度解释了极端左侧模式的大部分方差。后续分析表明,出现了一种逐步的模式,语言延迟的自闭症患者比没有语言延迟的自闭症患者表现出更明显的右侧偏差。
我们的分析证实了需要采用新的(维度)方法来描绘自闭症中的异质神经解剖结构,并表明非典型侧化可能构成自闭症中具有临床意义的分层的神经表型。