Gray matter microstructure differences in autistic males: A gray matter based spatial statistics study.
Gray matter microstructure differences in autistic males: A gray matter based spatial statistics study.
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DOI：
10.1016/j.nicl.2022.103306
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发表时间：
2023
影响因子：
4.2
通讯作者：
Dean III, Douglas C.
中科院分区：
文献类型：
--
作者：
DiPiero, Marissa A.;Surgent, Olivia J.;Travers, Brittany G.;Alexander, Andrew L.;Lainhart, Janet E.;Dean III, Douglas C.
GBSS被用来研究自闭症男性的皮质微结构差异。所有dMRI指标均与年龄显著相关。观察平均组差异和年龄相关组差异。灰质和自闭症症状的关系进行了观察。自闭症谱系障碍（ASD）是一种复杂的神经发育疾病。了解大脑的微观结构及其与临床特征的关系对于促进我们对ASD潜在神经支持的理解非常重要。在目前的工作中，我们实施了基于灰质的空间统计（GBSS），以检查和表征皮质微结构和评估之间的差异，典型的发展（TD）和自闭症男性。一个多壳扩散MRI（dMRI）协议，从83 TD和70自闭症男性（5至21岁），并适合DTI和NODDI模型。GBSS用于皮质灰质（GM）的体素分析。一般线性模型被用来调查组间差异，而年龄组间的相互作用评估组间与年龄相关的差异。在ASD组中，研究了皮质微结构与自闭症症状测量之间的关系。所有dMRI测量结果均与GM骨骼的年龄显著相关。组的差异和年龄组的相互作用的报告。在自闭症个体中，在右半球的额叶、颞叶和枕叶区域观察到神经突密度的群体性增加。在额中回、中央前回和额极内观察到神经突密度的显著年龄-组相互作用。在ASD组中观察到神经突分散与ADOS-2校准严重程度评分（CSS）之间的负相关性。研究结果表明，在ASD的右半球大脑区域支持认知过程的神经突密度的组间和年龄相关的差异。结果提供的证据表明，改变神经发育过程影响GM的微观结构在自闭症男性与自闭症症状的水平皮质微观结构的作用的影响。使用dMRI和GBSS，我们的研究结果提供了新的见解群体和年龄相关的差异，在自闭症男性的GM微结构。确定这些皮质GM差异出现的位置和时间将有助于我们理解ASD的脑行为关系，并可能有助于制定和监测有针对性的个性化干预措施。
GBSS was used to examine cortical microstructure differences in autistic males. All dMRI measures were significantly associated with age. Mean group differences and age-related group differences were observed. Relationships between gray matter and autistic symptoms were observed. Autism spectrum disorder (ASD) is a complex neurodevelopmental condition. Understanding the brain’s microstructure and its relationship to clinical characteristics is important to advance our understanding of the neural supports underlying ASD. In the current work, we implemented Gray-Matter Based Spatial Statistics (GBSS) to examine and characterize cortical microstructure and assess differences between typically developing (TD) and autistic males. A multi-shell diffusion MRI (dMRI) protocol was acquired from 83 TD and 70 autistic males (5-to-21-years) and fit to the DTI and NODDI models. GBSS was performed for voxelwise analysis of cortical gray matter (GM). General linear models were used to investigate group differences, while age-by-group interactions assessed age-related differences between groups. Within the ASD group, relationships between cortical microstructure and measures of autistic symptoms were investigated. All dMRI measures were significantly associated with age across the GM skeleton. Group differences and age-by-group interactions are reported. Group-wise increases in neurite density in autistic individuals were observed across frontal, temporal, and occipital regions of the right hemisphere. Significant age-by-group interactions of neurite density were observed within the middle frontal gyrus, precentral gyrus, and frontal pole. Negative relationships between neurite dispersion and the ADOS-2 Calibrated Severity Scores (CSS) were observed within the ASD group. Findings demonstrate group and age-related differences between groups in neurite density in ASD across right-hemisphere brain regions supporting cognitive processes. Results provide evidence of altered neurodevelopmental processes affecting GM microstructure in autistic males with implications for the role of cortical microstructure in the level of autistic symptoms. Using dMRI and GBSS, our findings provide new insights into group and age-related differences of the GM microstructure in autistic males. Defining where and when these cortical GM differences arise will contribute to our understanding of brain-behavior relationships of ASD and may aid in the development and monitoring of targeted and individualized interventions.
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