![](/images/graphics-bg.png)
Exploration of Neural Activity under Cognitive Reappraisal Using Simultaneous EEG-fMRI Data and Kernel Canonical Correlation Analysis
Joint Authors
Dong, Li
Yang, Biao
Zou, Ling
Cao, Jinmeng
Zhou, Tiantong
Xiang, Jianbo
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-07-02
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Background.
Neural activity under cognitive reappraisal can be more accurately investigated using simultaneous EEG- (electroencephalography) fMRI (functional magnetic resonance imaging) than using EEG or fMRI only.
Complementary spatiotemporal information can be found from simultaneous EEG-fMRI data to study brain function.
Method.
An effective EEG-fMRI fusion framework is proposed in this work.
EEG-fMRI data is simultaneously sampled on fifteen visually stimulated healthy adult participants.
Net-station toolbox and empirical mode decomposition are employed for EEG denoising.
Sparse spectral clustering is used to construct fMRI masks that are used to constrain fMRI activated regions.
A kernel-based canonical correlation analysis is utilized to fuse nonlinear EEG-fMRI data.
Results.
The experimental results show a distinct late positive potential (LPP, latency 200-700ms) from the correlated EEG components that are reconstructed from nonlinear EEG-fMRI data.
Peak value of LPP under reappraisal state is smaller than that under negative state, however, larger than that under neutral state.
For correlated fMRI components, obvious activation can be observed in cerebral regions, e.g., the amygdala, temporal lobe, cingulate gyrus, hippocampus, and frontal lobe.
Meanwhile, in these regions, activated intensity under reappraisal state is obviously smaller than that under negative state and larger than that under neutral state.
Conclusions.
The proposed EEG-fMRI fusion approach provides an effective way to study the neural activities of cognitive reappraisal with high spatiotemporal resolution.
It is also suitable for other neuroimaging technologies using simultaneous EEG-fMRI data.
American Psychological Association (APA)
Yang, Biao& Cao, Jinmeng& Zhou, Tiantong& Dong, Li& Zou, Ling& Xiang, Jianbo. 2018. Exploration of Neural Activity under Cognitive Reappraisal Using Simultaneous EEG-fMRI Data and Kernel Canonical Correlation Analysis. Computational and Mathematical Methods in Medicine،Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1131888
Modern Language Association (MLA)
Yang, Biao…[et al.]. Exploration of Neural Activity under Cognitive Reappraisal Using Simultaneous EEG-fMRI Data and Kernel Canonical Correlation Analysis. Computational and Mathematical Methods in Medicine No. 2018 (2018), pp.1-11.
https://search.emarefa.net/detail/BIM-1131888
American Medical Association (AMA)
Yang, Biao& Cao, Jinmeng& Zhou, Tiantong& Dong, Li& Zou, Ling& Xiang, Jianbo. Exploration of Neural Activity under Cognitive Reappraisal Using Simultaneous EEG-fMRI Data and Kernel Canonical Correlation Analysis. Computational and Mathematical Methods in Medicine. 2018. Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1131888
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1131888