Rotman Research Institute, Baycrest Health Sciences, Toronto, ON M6A 2E1, Canada.
Department of Psychology, University of Toronto, Toronto, ON M5S 3G3, Canada.
Brain. 2023 Feb 13;146(2):438-447. doi: 10.1093/brain/awac387.
Neurodevelopmental disorders are categorized and studied according to their manifestations as distinct syndromes. For instance, congenital prosopagnosia and dyslexia have largely non-overlapping research literatures and clinical pathways for diagnosis and intervention. On the other hand, the high incidence of neurodevelopmental comorbidities or co-existing extreme strengths and weaknesses suggest that transdiagnostic commonalities may be greater than currently appreciated. The core-periphery model holds that brain regions within the stable core perceptual and motor regions are more densely connected to one another compared to regions in the flexible periphery comprising multimodal association regions. This model provides a framework for the interpretation of neural data in normal development and clinical disorders. Considering network-level commonalities reported in studies of neurodevelopmental disorders, variability in multimodal association cortex connectivity may reflect a shared origin of seemingly distinct neurodevelopmental disorders. This framework helps to explain both comorbidities in neurodevelopmental disorders and profiles of strengths and weaknesses attributable to competitive processing between cognitive systems within an individual.
神经发育障碍根据其表现分为不同的综合征进行分类和研究。例如,先天性面容失认症和诵读困难症的研究文献和诊断干预途径基本没有重叠。另一方面,神经发育障碍的高发病率或共存的极端优势和劣势表明,跨诊断的共性可能比目前所认识的要大。核心-边缘模型认为,与包含多模态联合区域的灵活边缘区域中的区域相比,稳定的核心感知和运动区域内的大脑区域彼此之间的连接更加紧密。该模型为解释正常发育和临床障碍中的神经数据提供了一个框架。考虑到神经发育障碍研究中报告的网络水平共性,多模态联合皮层连接的可变性可能反映了看似不同的神经发育障碍的共同起源。该框架有助于解释神经发育障碍中的共病现象,以及归因于个体内部认知系统之间竞争处理的优势和劣势特征。