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绘制自闭症患者长程白质微观结构差异图谱。

Mapping Along-Tract White Matter Microstructural Differences in Autism.

作者信息

Kim Gaon S, Chandio Bramsh Q, Benavidez Sebastian M, Feng Yixue, Thompson Paul M, Lawrence Katherine E

机构信息

Imaging Genetics Center, Mark and Mary Stevens Neuroimaging & Informatics Institute, Keck School of Medicine, University of Southern California, 1670 Mindanao Way, Marina del Rey, CA, 90292 USA.

出版信息

bioRxiv. 2025 Mar 24:2025.03.21.644498. doi: 10.1101/2025.03.21.644498.

Abstract

Previous diffusion magnetic resonance imaging (dMRI) research has indicated altered white matter microstructure in autism, but the implicated regions are highly inconsistent across studies. Such prior work has largely used conventional dMRI analysis methods, including the traditional microstructure model, based on diffusion tensor imaging (DTI). However, these methods are limited in their ability to precisely map microstructural differences and accurately resolve complex fiber configurations. In our study, we investigated white matter microstructure alterations in autism using the refined along-tract analytic approach, BUndle ANalytics (BUAN), and an advanced microstructure model, the tensor distribution function (TDF). We analyzed dMRI data from 365 autistic and neurotypical participants (5-24 years; 34% female) from 10 cohorts to examine commissural and association tracts. Autism was associated with lower fractional anisotropy and higher diffusivity in localized portions of nearly every commissural and association tract examined; these tracts inter-connected a wide range of brain regions, including frontal, temporal, parietal, and occipital. Taken together, BUAN and TDF allow robust and spatially precise mapping of microstructural properties in autism. Our findings rigorously demonstrate that white matter microstructure alterations in autism may be greater within specific regions of individual tracts, and that the implicated tracts are distributed across the brain.

摘要

以往的扩散磁共振成像(dMRI)研究表明,自闭症患者的白质微观结构发生了改变,但不同研究中涉及的区域高度不一致。此前的此类研究大多使用传统的dMRI分析方法,包括基于扩散张量成像(DTI)的传统微观结构模型。然而,这些方法在精确绘制微观结构差异和准确解析复杂纤维结构方面能力有限。在我们的研究中,我们使用改进的沿束分析方法——束分析(BUAN)和先进的微观结构模型——张量分布函数(TDF),研究了自闭症患者白质微观结构的改变。我们分析了来自10个队列的365名自闭症患者和神经典型参与者(5 - 24岁;34%为女性)的dMRI数据,以检查连合束和联络束。自闭症与几乎每条检查的连合束和联络束局部区域的较低分数各向异性和较高扩散率相关;这些束连接了广泛的脑区,包括额叶、颞叶、顶叶和枕叶。总之,BUAN和TDF能够对自闭症患者的微观结构特性进行稳健且空间精确的映射。我们的研究结果严格证明,自闭症患者白质微观结构的改变可能在单个束的特定区域内更为明显,并且涉及的束分布于整个大脑。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8606/11974747/4f65e0d3378b/nihpp-2025.03.21.644498v1-f0001.jpg

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