Neuroscience Program, Santa Clara University, Santa Clara, California, USA.
Department of Psychology, Santa Clara University, Santa Clara, California, USA.
Hum Brain Mapp. 2023 May;44(7):2726-2740. doi: 10.1002/hbm.26240. Epub 2023 Feb 21.
Math learning difficulty (MLD) is a learning disorder characterized by persistent impairments in the understanding and application of numbers independent of intelligence or schooling. The current study aims to review existing neuroimaging studies to characterize the neurobiological basis in MLD for their quantity and arithmetic dysfunctions. We identified a total of 24 studies with 728 participants through the literature. Using the activation likelihood estimate (ALE) method, we found that the most consistent neurobiological dysfunction in MLD was observed in the right intraparietal sulcus (IPS) with distinct patterns of the anterior and posterior aspects. Meanwhile, neurobiological dysfunctions were also observed in a distributed network including the fusiform gyrus, inferior temporal gyrus, insula, prefrontal cortex, anterior cingulate cortex, and claustrum. Our results suggest a core dysfunction in the right anterior IPS and left fusiform gyrus with atypically upregulated functions in brain regions for attention, working memory, visual processing, and motivation, serving as the neurobiological basis of MLD.
数学学习困难症(MLD)是一种学习障碍,其特征是在理解和应用数字方面持续存在缺陷,而与智力或教育程度无关。本研究旨在综述现有的神经影像学研究,以确定 MLD 在数量和算术功能方面的神经生物学基础。我们通过文献共确定了 24 项研究,涉及 728 名参与者。使用激活似然估计(ALE)方法,我们发现 MLD 中最一致的神经生物学功能障碍发生在右侧顶内沟(IPS),前后两部分存在不同的模式。同时,在包括梭状回、下颞叶、岛叶、前额叶皮质、前扣带皮质和屏状核在内的分布式网络中也观察到了神经生物学功能障碍。我们的结果表明,右侧前 IPS 和左侧梭状回存在核心功能障碍,这些区域的功能异常上调,涉及注意力、工作记忆、视觉处理和动机等方面,为 MLD 的神经生物学基础提供了证据。