Lucibello Simona, Bertè Giovanna, Verdolotti Tommaso, Lucignani Martina, Napolitano Antonio, D'Abronzo Rosa, Cicala Maria G, Pede Elisa, Chieffo Daniela, Mariotti Paolo, Colosimo Cesare, Mercuri Eugenio, Battini Roberta
Pediatric Neurology Unit, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy.
Dipartimento di Diagnostica per Immagini, Istituto di Radiologia, Università Cattolica del Sacro Cuore, Rome, Italy.
Front Neurosci. 2022 Feb 7;15:776860. doi: 10.3389/fnins.2021.776860. eCollection 2021.
The term autism spectrum disorder (ASD) includes a wide variability of clinical presentation, and this clinical heterogeneity seems to reflect a still unclear multifactorial etiopathogenesis, encompassing different genetic risk factors and susceptibility to environmental factors. Several studies and many theories recognize as mechanisms of autism a disruption of brain development and maturation time course, suggesting the existence of common neurobiological substrates, such as defective synaptic structure and aberrant brain connectivity. Magnetic resonance imaging (MRI) plays an important role in both assessment of region-specific structural changes and quantification of specific alterations in gray or white matter, which could lead to the identification of an MRI biomarker. In this study, we performed measurement of cortical thickness in a selected well-known group of preschool ASD subjects with the aim of finding correlation between cortical metrics and clinical scores to understand the underlying mechanism of symptoms and to support early clinical diagnosis. Our results confirm that recent brain MRI techniques combined with clinical data can provide some useful information in defining the cerebral regions involved in ASD although large sample studies with homogeneous analytical and multisite approaches are needed.
术语自闭症谱系障碍(ASD)涵盖了广泛的临床表现差异,这种临床异质性似乎反映了仍不清楚的多因素病因,包括不同的遗传风险因素和对环境因素的易感性。多项研究和众多理论认为,大脑发育和成熟时间进程的中断是自闭症的发病机制,这表明存在共同的神经生物学基础,如突触结构缺陷和大脑连接异常。磁共振成像(MRI)在评估特定区域的结构变化以及量化灰质或白质的特定改变方面发挥着重要作用,这可能有助于识别MRI生物标志物。在本研究中,我们对一组选定的知名学龄前ASD受试者进行了皮质厚度测量,目的是寻找皮质指标与临床评分之间的相关性,以了解症状的潜在机制并支持早期临床诊断。我们的结果证实,尽管需要采用统一分析方法和多中心方法进行大样本研究,但近期的脑MRI技术与临床数据相结合可以为确定ASD所涉及的脑区提供一些有用信息。