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

自闭症 神经科学 神经肽 白质 神经解剖学 自闭症谱系障碍 突触发生 生物 心理学 神经影像学 脑图谱 神经发育障碍 医学 磁共振成像 精神科 放射科 兴奋性突触后电位 抑制性突触后电位
作者
Johanna Leyhausen,Tim Schäfer,Caroline Gurr,Lisa M. Berg,Hanna Seelemeyer,Charlotte M. Pretzsch,Eva Loth,Bethany Oakley,Jan K. Buitelaar,Christian F. Beckmann,Dorothea L. Floris,Tony Charman,Thomas Bourgeron,Tobias Banaschewski,Emily J. H. Jones,Julian Tillmann,Chris Chatham,Declan Murphy,Christine Ecker,Jumana Ahmad
出处
期刊:Biological Psychiatry [Elsevier BV]
卷期号:95 (2): 175-186 被引量:5
标识
DOI:10.1016/j.biopsych.2023.06.010
摘要

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.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.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.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.
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