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Default-Mode Network Activity Identified by Group Independent Component Analysis

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Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence (ICIC 2007)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4682))

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Abstract

Default-mode network activity refers to some regional increase in blood oxygenation level-dependent (BOLD) signal during baseline than cognitive tasks. Recent functional imaging studies have found co-activation in a distributed network of cortical regions, including ventral anterior cingulate cortex (vACC) and posterior cingulate cortex (PPC) that characterize the default mode of human brain. In this study, general linear model and group independent component analysis (ICA) were utilized to analyze the fMRI data obtained from two language tasks. Both methods yielded similar, but not identical results and detected a resting deactivation network at some midline regions including anterior and posterior cingulate cortex and precuneus. Particularly, the group ICA method segregated functional elements into two separate maps and identified ventral cingulate component and fronto-parietal component. These results suggest that these two components might be linked to different mental function during “resting” baseline.

Contract grant sponsor: National Science Foundation of China (30570614, 30670705).

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Authors and Affiliations

  1. Institute of Psychology, Renmin University of China, Beijing, 100872, China

    Conghui Liu & Guoliang Yu

  2. State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, 100875, China

    Conghui Liu & Danling Peng

  3. Department of Radiology, Xuanwu Hospital, Capital University of Medical Sciences, Beijing, 100053, China

    Yanhui Yang

  4. Department of Experimental Psychology, University of Cambridge, Cambridge, CB23EB, UK

    Jie Zhuang

Authors
  1. Conghui Liu
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  2. Jie Zhuang
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  3. Danling Peng
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  4. Guoliang Yu
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  5. Yanhui Yang
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De-Shuang Huang Laurent Heutte Marco Loog

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© 2007 Springer-Verlag Berlin Heidelberg

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Liu, C., Zhuang, J., Peng, D., Yu, G., Yang, Y. (2007). Default-Mode Network Activity Identified by Group Independent Component Analysis. In: Huang, DS., Heutte, L., Loog, M. (eds) Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence. ICIC 2007. Lecture Notes in Computer Science(), vol 4682. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74205-0_25

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  • DOI: https://doi.org/10.1007/978-3-540-74205-0_25

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-74201-2

  • Online ISBN: 978-3-540-74205-0

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