Underlying modulators of frontal global field potentials in emotion regulation: An EEG-informed fMRI study

Feng Fang, Michael Houston, Sasha Walker, Thinh Nguyen, Tom Potter, Yingchun Zhang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Simultaneous EEG-fMRI has been applied across many functional brain studies to observe the spatiotemporal patterns of cortical activity that support complex cognitive tasks. Emotion regulation becomes a major topic of interest among these studies, with a particular focus of the late positive potential (LPP), which appears over parietal areas during emotion processing. While prefrontal areas have been linked to the LPP, the manner of their involvement remains poorly understood. In this study, EEG-informed fMRI was applied to investigate the cortical areas that modulate the frontal LPP during emotion regulation. Simultaneous EEG and fMRI data were collected during reappraisal-based emotion regulation, with EEG data analyzed from 400-600ms after task onset. Group Independent Component Analysis (ICA) was applied to denoise the EEG signal and extract common features across trials for all subjects and conditions. Extracted features were then used as regressors in general linear model (GLM)-based fMRI analysis. Results indicate that the septum pellucidum, right insula and right subcallosal gyrus are involved in the modulation of the LPP amplitude in prefrontal regions, as it is seen during reappraisal. Results align with previous emotion reappraisal studies and provide evidence for the use of IC-based EEG-informed fMRI in the study of emotional regulation.

Original languageEnglish (US)
Title of host publication9th International IEEE EMBS Conference on Neural Engineering, NER 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages949-952
Number of pages4
ISBN (Electronic)9781538679210
DOIs
StatePublished - May 16 2019
Event9th International IEEE EMBS Conference on Neural Engineering, NER 2019 - San Francisco, United States
Duration: Mar 20 2019Mar 23 2019

Publication series

NameInternational IEEE/EMBS Conference on Neural Engineering, NER
Volume2019-March
ISSN (Print)1948-3546
ISSN (Electronic)1948-3554

Other

Other9th International IEEE EMBS Conference on Neural Engineering, NER 2019
CountryUnited States
CitySan Francisco
Period3/20/193/23/19

ASJC Scopus subject areas

  • Artificial Intelligence
  • Mechanical Engineering

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