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自闭症谱系障碍中内在灰质连接性差异及其基因组学基础

Differences in Intrinsic Gray Matter Connectivity and Their Genomic Underpinnings in Autism Spectrum Disorder.

作者信息

Leyhausen Johanna, Schäfer Tim, Gurr Caroline, Berg Lisa M, Seelemeyer Hanna, Pretzsch Charlotte M, Loth Eva, Oakley Bethany, Buitelaar Jan K, Beckmann Christian F, Floris Dorothea L, Charman Tony, Bourgeron Thomas, Banaschewski Tobias, Jones Emily J H, Tillmann Julian, Chatham Chris, Murphy Declan G, Ecker Christine

机构信息

Department of Child and Adolescent Psychiatry, University Hospital, Goethe University, Frankfurt am Main, Germany; Brain Imaging Center, Goethe University, Frankfurt am Main, Germany; Department of Biosciences, Goethe University Frankfurt, Frankfurt am Main, Germany.

Department of Child and Adolescent Psychiatry, University Hospital, Goethe University, Frankfurt am Main, Germany; Brain Imaging Center, Goethe University, Frankfurt am Main, Germany.

出版信息

Biol Psychiatry. 2024 Jan 15;95(2):175-186. doi: 10.1016/j.biopsych.2023.06.010. Epub 2023 Jun 20.

Abstract

BACKGROUND

Autism is a heterogeneous neurodevelopmental condition accompanied by differences in brain connectivity. Structural connectivity in autism has mainly been investigated within the white matter. However, many genetic variants associated with autism highlight genes related to synaptogenesis and axonal guidance, thus also implicating differences in intrinsic (i.e., gray matter) connections in autism. Intrinsic connections may be assessed in vivo via so-called intrinsic global and local wiring costs.

METHODS

Here, we examined intrinsic global and local wiring costs in the brain of 359 individuals with autism and 279 healthy control participants ages 6 to 30 years from the EU-AIMS LEAP (Longitudinal European Autism Project). FreeSurfer was used to derive surface mesh representations to compute the estimated length of connections required to wire the brain within the gray matter. Vertexwise between-group differences were assessed using a general linear model. A gene expression decoding analysis based on the Allen Human Brain Atlas was performed to link neuroanatomical differences to putative underpinnings.

RESULTS

Group differences in global and local wiring costs were predominantly observed in medial and lateral prefrontal brain regions, in inferior temporal regions, and at the left temporoparietal junction. The resulting neuroanatomical patterns were enriched for genes that had been previously implicated in the etiology of autism at genetic and transcriptomic levels.

CONCLUSIONS

Based on intrinsic gray matter connectivity, the current study investigated the complex neuroanatomy of autism and linked between-group differences to putative genomic and/or molecular mechanisms to parse the heterogeneity of autism and provide targets for future subgrouping approaches.

摘要

背景

自闭症是一种异质性神经发育疾病,伴有大脑连接性差异。自闭症的结构连接性主要在白质中进行研究。然而,许多与自闭症相关的基因变异突出了与突触形成和轴突导向相关的基因,因此也暗示了自闭症内在(即灰质)连接的差异。内在连接可以通过所谓的内在全局和局部布线成本在体内进行评估。

方法

在此,我们检查了来自欧盟自闭症干预研究(LEAP,纵向欧洲自闭症项目)的359名6至30岁自闭症个体和279名健康对照参与者大脑中的内在全局和局部布线成本。使用FreeSurfer软件生成表面网格表示,以计算灰质内连接大脑所需的估计连接长度。使用一般线性模型评估组间顶点差异。基于艾伦人类大脑图谱进行了基因表达解码分析,以将神经解剖学差异与潜在的基础联系起来。

结果

全局和局部布线成本的组间差异主要出现在内侧和外侧前额叶脑区、颞下区域以及左侧颞顶交界处。由此产生的神经解剖学模式富含先前在遗传和转录组水平上与自闭症病因相关的基因。

结论

基于内在灰质连接性,本研究调查了自闭症复杂的神经解剖学,并将组间差异与潜在的基因组和/或分子机制联系起来,以剖析自闭症的异质性,并为未来的亚组分类方法提供靶点。

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