Yang Yang, Zhong Ning, Friston Karl, Imamura Kazuyuki, Lu Shengfu, Li Mi, Zhou Haiyan, Wang Haiyuan, Li Kuncheng, Hu Bin
Beijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology, Beijing, China.
Department of Life Science and Informatics, Maebashi Institute of Technology, Maebashi, Japan.
Hum Brain Mapp. 2017 Jun;38(6):3210-3225. doi: 10.1002/hbm.23585. Epub 2017 Mar 27.
The neuronal mechanisms underlying arithmetic calculations are not well understood but the differences between mental addition and subtraction could be particularly revealing. Using fMRI and dynamic causal modeling (DCM), this study aimed to identify the distinct neuronal architectures engaged by the cognitive processes of simple addition and subtraction. Our results revealed significantly greater activation during subtraction in regions along the dorsal pathway, including the left inferior frontal gyrus (IFG), middle portion of dorsolateral prefrontal cortex (mDLPFC), and supplementary motor area (SMA), compared with addition. Subsequent analysis of the underlying changes in connectivity - with DCM - revealed a common circuit processing basic (numeric) attributes and the retrieval of arithmetic facts. However, DCM showed that addition was more likely to engage (numeric) retrieval-based circuits in the left hemisphere, while subtraction tended to draw on (magnitude) processing in bilateral parietal cortex, especially the right intraparietal sulcus (IPS). Our findings endorse previous hypotheses about the differences in strategic implementation, dominant hemisphere, and the neuronal circuits underlying addition and subtraction. Moreover, for simple arithmetic, our connectivity results suggest that subtraction calls on more complex processing than addition: auxiliary phonological, visual, and motor processes, for representing numbers, were engaged by subtraction, relative to addition. Hum Brain Mapp 38:3210-3225, 2017. © 2017 Wiley Periodicals, Inc.
算术运算背后的神经机制尚未得到充分理解,但心算加法和减法之间的差异可能具有特别的启示意义。本研究使用功能磁共振成像(fMRI)和动态因果模型(DCM),旨在识别简单加法和减法认知过程所涉及的不同神经结构。我们的结果显示,与加法相比,减法过程中沿背侧通路的区域,包括左侧额下回(IFG)、背外侧前额叶皮质中部(mDLPFC)和辅助运动区(SMA),激活程度显著更高。随后利用DCM对潜在的连接变化进行分析,结果揭示了一个处理基本(数字)属性和算术事实检索的共同回路。然而,DCM表明,加法更有可能激活左半球基于(数字)检索的回路,而减法则倾向于利用双侧顶叶皮质,尤其是右侧顶内沟(IPS)的(数量)处理。我们的研究结果支持了先前关于加法和减法在策略实施、优势半球以及神经回路方面存在差异的假设。此外,对于简单算术,我们的连接结果表明,减法比加法需要更复杂的处理:相对于加法,减法在表示数字时会涉及辅助语音、视觉和运动过程。《人类大脑图谱》38:3210 - 3225,2017年。© 2017威利期刊公司。