Göbel Silke M, Terry Rebecca, Klein Elise, Hymers Mark, Kaufmann Liane
Department of Psychology, University of York, York YO10 5DD, UK.
Department of Special Needs Education, University of Oslo, 0371 Oslo, Norway.
Brain Sci. 2022 Jun 3;12(6):735. doi: 10.3390/brainsci12060735.
Developmental dyscalculia (DD) is a developmental disorder characterized by arithmetic difficulties. Recently, it has been suggested that the neural networks supporting procedure-based calculation (e.g., in subtraction) and left-hemispheric verbal arithmetic fact retrieval (e.g., in multiplication) are partially distinct. Here we compared the neurofunctional correlates of subtraction and multiplication in a 19-year-old student (RM) with DD to 18 age-matched controls. Behaviorally, RM performed significantly worse than controls in multiplication, while subtraction was unaffected. Neurofunctional differences were most pronounced regarding multiplication: RM showed significantly stronger activation than controls not only in left angular gyrus but also in a fronto-parietal network (including left intraparietal sulcus and inferior frontal gyrus) typically activated during procedure-based calculation. Region-of-interest analyses indicated group differences in multiplication only, which, however, did not survive correction for multiple comparisons. Our results are consistent with dissociable and processing-specific, but not operation-specific neurofunctional networks. Procedure-based calculation is not only associated with subtraction but also with (untrained) multiplication facts. Only after rote learning, facts can be retrieved quasi automatically from memory. We suggest that this learning process and the associated shift in activation patterns has not fully occurred in RM, as reflected in her need to resort to procedure-based strategies to solve multiplication facts.
发育性计算障碍(DD)是一种以算术困难为特征的发育障碍。最近,有人提出,支持基于程序的计算(如减法)和左半球言语算术事实检索(如乘法)的神经网络部分是不同的。在此,我们将一名患有DD的19岁学生(RM)与18名年龄匹配的对照组在减法和乘法运算中的神经功能相关性进行了比较。行为学上,RM在乘法运算中的表现显著差于对照组,而减法运算未受影响。神经功能差异在乘法运算方面最为明显:RM不仅在左角回,而且在通常在基于程序的计算过程中被激活的额顶网络(包括左顶内沟和额下回)中显示出比对照组更强的激活。感兴趣区域分析仅表明在乘法运算中有组间差异,然而,在多重比较校正后该差异并不显著。我们的结果与可分离的、特定于加工而非特定于运算的神经功能网络一致。基于程序的计算不仅与减法有关,也与(未训练的)乘法事实有关。只有经过死记硬背的学习,才能从记忆中近乎自动地检索出事实。我们认为,这种学习过程以及相关的激活模式转变在RM中尚未完全发生,这体现在她需要借助基于程序的策略来解决乘法事实。