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Brain Activation and Deactivation in Human Inductive Reasoning: An fMRI Study

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Brain Informatics (BI 2010)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6334))

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Abstract

In order to study the cognitive neural mechanism of human inductive reasoning, both the positive and negative activation should be combined. However, most studies only focus on the positive activation and the negative activation of inductive reasoning has not been reported. The present study will examine the two aspects simultaneously. Two experimental tasks were designed according to the magnitude of shared attributes: sharing two common attributes (2T) and sharing one common attribute (1T), and rest acted as control task. 2T and 1T tasks are both inductive reasoning tasks. 2T task contains the component of perceptual features’ integration, while 1T does not. Fourteen college students participated in this study. It was showed that, as compared to rest condition, induction activated a distributed regions including prefrontal cortex (BA 6, 9, 11, 46, 47), caudate, putamen, thalamus, etc., and these regions were related to task difficulty. This may reflect the important role the prefrontal-striatal-thalamus loop in inductive reasoning. The fMRI result also showed the significant negative activation of the right superior temporal gyrus (BA 22), the left angular gyrus (BA 39), bilateral middle frontal gyrus (BA 8, 9, 10), posterior cingulated cortex (BA 31) in inductive reasoning as compared to rest condition. These results were consistent with previous studies of default mode network. Future work were required to examine if there exist induction specific positive activation network and negative activation network, and what the relationship between the two networks.

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Author information

Authors and Affiliations

  1. International WIC Institute, Beijing University of Technology, Beijing, 100124, China

    Peipeng Liang, Yang Mei, Shengfu Lu & Ning Zhong

  2. Xuanwu Hospital, Capital Medical University, Beijing, 100053, China

    Peipeng Liang, Xiuqin Jia, Yanhui Yang & Kuncheng Li

  3. Beijing Municipal Lab of Brain Informatics, Beijing, 100124, China

    Peipeng Liang, Yang Mei, Xiuqin Jia, Yanhui Yang, Shengfu Lu, Ning Zhong & Kuncheng Li

  4. Dept. of Life Science and Informatics, Maebashi Institute of Technology, Maebashi-City, 371-0816, Japan

    Ning Zhong

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  1. Peipeng Liang
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  2. Yang Mei
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  3. Xiuqin Jia
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  4. Yanhui Yang
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  5. Shengfu Lu
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Editor information

Editors and Affiliations

  1. Department of Computer Science, University of Regina, S4S 0A2, Regina, SK, Canada

    Yiyu Yao

  2. Rensselaer Polytechnic Institute, NY 12180, Troy, USA

    Ron Sun

  3. McGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA

    Tomaso Poggio

  4. Department of Computer Science, Hong Kong Baptist University, Kowloon Tong, Hong Kong

    Jiming Liu

  5. Department of Life Science and Informatics, Maebashi Institute of Technology, 460-1 Kamisadori-Cho, 371.0816, Maebashi-City, Japan

    Ning Zhong

  6. York University, Toronto, ON, Canada

    Jimmy Huang

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© 2010 Springer-Verlag Berlin Heidelberg

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Liang, P. et al. (2010). Brain Activation and Deactivation in Human Inductive Reasoning: An fMRI Study. In: Yao, Y., Sun, R., Poggio, T., Liu, J., Zhong, N., Huang, J. (eds) Brain Informatics. BI 2010. Lecture Notes in Computer Science(), vol 6334. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15314-3_37

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  • DOI: https://doi.org/10.1007/978-3-642-15314-3_37

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15313-6

  • Online ISBN: 978-3-642-15314-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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