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A Study of Neural Mechanism in Emotion Regulation by Simultaneous Recording of EEG and fMRI Based on ICA

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Part of the Lecture Notes in Computer Science book series (LNTCS,volume 7951)

Abstract

The combination of electroencephalogram (EEG) and functional magnetic resonance imaging (fMRI) is a very attractive aim in neuroscience, in order to achieve both high temporal and spatial resolution for the non-invasive study of cognitive brain function. In this paper, we record simultaneous EEG–fMRI of the same subject in emotional processing experiment in order to explore the characteristics of different emotional picture processing, and try to find the difference of the subject’ brain hemisphere when viewing different valence emotional pictures. For fMRI data, we study the participant’s brain active region, and examine related blood oxygen level—dependent(BOLD) response. For EEG data, we focus on the amplitude of the late positive potential (LPP). We find that the amplitude of the LPP correlated significantly with BOLD intensity in visual cortex and amygdala, prefrontal is also modulated by different picture categories.

Keywords

  • emotion regulation
  • blood oxygen level-dependent
  • late positive potential
  • ICA

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  • DOI: 10.1007/978-3-642-39065-4_6
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Zhou, T., Wang, H., Zou, L., Zhou, R., Qian, N. (2013). A Study of Neural Mechanism in Emotion Regulation by Simultaneous Recording of EEG and fMRI Based on ICA. In: Guo, C., Hou, ZG., Zeng, Z. (eds) Advances in Neural Networks – ISNN 2013. ISNN 2013. Lecture Notes in Computer Science, vol 7951. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39065-4_6

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  • DOI: https://doi.org/10.1007/978-3-642-39065-4_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-39064-7

  • Online ISBN: 978-3-642-39065-4

  • eBook Packages: Computer ScienceComputer Science (R0)