Using tissue microstructure and multimodal MRI to parse the phenotypic heterogeneity and cellular basis of autism spectrum disorder.
Using tissue microstructure and multimodal MRI to parse the phenotypic heterogeneity and cellular basis of autism spectrum disorder.
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DOI：
10.1111/jcpp.13531
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发表时间：
2022-08
影响因子：
7.6
通讯作者：
Bansal, Ravi
中科院分区：
文献类型：
--
作者：
Peterson, Bradley S.;Liu, Jiaqi;Dantec, Louis;Newman, Courtney;Sawardekar, Siddhant;Goh, Suzanne;Bansal, Ravi
Identifying the brain bases for phenotypic heterogeneity in Autism Spectrum Disorder (ASD) will advance understanding of its pathogenesis and improve its clinical management. We compared Diffusion Tensor Imaging (DTI) indices and connectome measures between 77 ASD and 88 Typically Developing (TD) control participants. We also assessed voxel-wise associations of DTI indices with measures of regional cerebral blood flow (rCBF) and N-acetylaspartate (NAA) to understand how tissue microstructure associates with cellular metabolism and neuronal density, respectively. ASD participants had significantly lower fractional anisotropy (FA) and higher diffusivity values in deep white matter tracts, likely representing reduced myelination by oligodendrocytes. Greater abnormalities in these measures and regions were associated with higher ASD symptom scores. Participant age, sex, and IQ significantly moderated these group differences. Path analyses showed that reduced NAA levels accounted significantly for higher diffusivity and higher rCBF values in ASD compared with TD participants. Reduced neuronal density (reduced NAA) likely underlies abnormalities in DTI indices of white matter microstructure in ASD, which in turn are major determinants of elevated blood flow. Together these findings suggest the presence of reduced axonal density and axonal pathology in ASD white matter. Greater pathology in turn accounts for more severe symptoms, lower intellectual ability, and reduced global efficiency for measures of white matter connectivity in ASD.
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