Literature DB >> 28345153

The functional architectures of addition and subtraction: Network discovery using fMRI and DCM.

Yang Yang1,2,3,4, Ning Zhong1,2,5,3,4, Karl Friston6, Kazuyuki Imamura7, Shengfu Lu1,5,3,4, Mi Li1,5,3,4, Haiyan Zhou1,5,3,4, Haiyuan Wang1,5,3,4, Kuncheng Li4,8, Bin Hu9.   

Abstract

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. © 2017 Wiley Periodicals, Inc.

Entities:  

Keywords:  arithmetic processing; dynamic causal modeling; fMRI; network discovery

Mesh:

Substances:

Year:  2017        PMID: 28345153      PMCID: PMC6866939          DOI: 10.1002/hbm.23585

Source DB:  PubMed          Journal:  Hum Brain Mapp        ISSN: 1065-9471            Impact factor:   5.038


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