Anatomical likelihood estimation meta-analysis of grey and white matter anomalies in autism spectrum disorders.
Anatomical likelihood estimation meta-analysis of grey and white matter anomalies in autism spectrum disorders.
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DOI：
10.1016/j.nicl.2014.11.004
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发表时间：
2015
期刊：
影响因子：
--
通讯作者：
Kana RK
中科院分区：
文献类型：
--
作者：
DeRamus TP;Kana RK
自闭症谱系障碍(ASD)的特征是社交沟通障碍和限制性、重复行为。虽然行为症状已经有了很好的记录，但对ASD神经生物学基础的研究并没有得出明确的生物标记物。结构神经成像研究结果的差异性导致难以可靠地表征ASD患者的脑形态。这些不一致也可能源于ASD的异质性，以及MRI研究和先前的荟萃分析中包括的更广泛的年龄范围的参与者。为了解决这一问题，目前的研究使用了基于坐标的解剖似然估计(ALE)分析21个基于体素的形态测量(VBM)研究，检查了患有ASD的高功能个体，导致了对1055名参与者(506名ASD，549名典型发育中的个体)的荟萃分析。结果包括两组间皮质物质的灰色、白色和整体差异。由灰质和白质的浓度、厚度和体积指标组成的建模解剖图显示出集群，表明ASD患者大脑顶叶和下颞区的灰质和白质随年龄的减少，而额叶和前颞区的灰质随年龄的增加而增加。白质改变包括被认为在信息处理和感觉整合中发挥关键作用的纤维束。许多目前的病理生物学ASD理论表明，ASD患者的大脑可能具有功能较差的远程(从前到后)连接。我们的研究发现，在患有ASD的老年人中，顶颞区和枕区皮质物质减少，额叶皮质增厚，可能导致皮质解剖和神经发育适应的改变。这是对自闭症患者基于体素的形态测量研究的荟萃分析。对全球皮质物质、灰质和白质进行了不同的比较。脑后区和额叶白质通路变薄。自闭症参与者的额叶灰质与年龄相关的增厚。结果与已有的孤独症前后部脱节理论相吻合。
Autism spectrum disorders (ASD) are characterized by impairments in social communication and restrictive, repetitive behaviors. While behavioral symptoms are well-documented, investigations into the neurobiological underpinnings of ASD have not resulted in firm biomarkers. Variability in findings across structural neuroimaging studies has contributed to difficulty in reliably characterizing the brain morphology of individuals with ASD. These inconsistencies may also arise from the heterogeneity of ASD, and wider age-range of participants included in MRI studies and in previous meta-analyses. To address this, the current study used coordinate-based anatomical likelihood estimation (ALE) analysis of 21 voxel-based morphometry (VBM) studies examining high-functioning individuals with ASD, resulting in a meta-analysis of 1055 participants (506 ASD, and 549 typically developing individuals). Results consisted of grey, white, and global differences in cortical matter between the groups. Modeled anatomical maps consisting of concentration, thickness, and volume metrics of grey and white matter revealed clusters suggesting age-related decreases in grey and white matter in parietal and inferior temporal regions of the brain in ASD, and age-related increases in grey matter in frontal and anterior-temporal regions. White matter alterations included fiber tracts thought to play key roles in information processing and sensory integration. Many current theories of pathobiology ASD suggest that the brains of individuals with ASD may have less-functional long-range (anterior-to-posterior) connections. Our findings of decreased cortical matter in parietal–temporal and occipital regions, and thickening in frontal cortices in older adults with ASD may entail altered cortical anatomy, and neurodevelopmental adaptations. This is a meta-analysis of voxel-based morphometry studies of individuals with autism. Different comparisons are made for global cortical matter, grey matter, and white matter. Thinning was present in posterior brain regions and frontal white matter paths. Age-related thickening of frontal grey matter was seen in participants with autism. Results fit with existing theories of frontal-posterior disconnect in autism.
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