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The Functional Architectures of Addition and Subtraction: Network Discovery Using fMRI and DCM

Yang, Y; Zhong, N; Friston, K; Imamura, K; Lu, S; Li, M; Zhou, H; ... Hu, B; + view all (2017) The Functional Architectures of Addition and Subtraction: Network Discovery Using fMRI and DCM. Human Brain Mapping , 38 (6) pp. 3210-3225. 10.1002/hbm.23585. Green open access

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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.

Type: Article
Title: The Functional Architectures of Addition and Subtraction: Network Discovery Using fMRI and DCM
Open access status: An open access version is available from UCL Discovery
DOI: 10.1002/hbm.23585
Publisher version: http://dx.doi.org/10.1002/hbm.23585
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Science & Technology, Life Sciences & Biomedicine, Neurosciences, Neuroimaging, Radiology, Nuclear Medicine & Medical Imaging, Neurosciences & Neurology, arithmetic processing, fMRI, dynamic causal modeling, network discovery, VISUAL WORKING-MEMORY, SINGLE-DIGIT ADDITION, PREFRONTAL CORTEX, PARIETAL CORTEX, ARITHMETIC OPERATIONS, FRONTAL-CORTEX, FACT RETRIEVAL, BASAL GANGLIA, PROBLEM-SIZE, BRAIN
UCL classification: UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology > Imaging Neuroscience
URI: http://discovery.ucl.ac.uk/id/eprint/10057803
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