Exploration of Neural Activity under Cognitive Reappraisal Using Simultaneous EEG-fMRI Data and Kernel Canonical...

Area of Science:

• Neuroscience
• Cognitive Science
• Brain Imaging

Background:

• Simultaneous electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) offer superior insights into neural activity compared to individual methods.
• Investigating cognitive reappraisal benefits from the complementary spatiotemporal information provided by combined EEG-fMRI.

Purpose of the Study:

• To propose and validate an effective EEG-fMRI fusion framework for analyzing neural activity during cognitive reappraisal.
• To enhance the understanding of brain function with high spatiotemporal resolution.

Main Methods:

• Simultaneous EEG-fMRI data acquisition from 15 healthy adults undergoing visual stimulation.
• EEG denoising using Net-station toolbox and empirical mode decomposition.
• fMRI mask construction via sparse spectral clustering and data fusion using kernel-based canonical correlation analysis.

Main Results:

• Distinct late positive potential (LPP) components identified from nonlinear EEG-fMRI data, with LPP peak values varying across negative, neutral, and reappraisal states.
• Significant activation observed in brain regions including the amygdala, temporal lobe, cingulate gyrus, hippocampus, and frontal lobe.
• Activation intensity in these regions was modulated by cognitive state, being lowest during reappraisal compared to negative and neutral states.

Conclusions:

• The developed EEG-fMRI fusion approach effectively studies neural activities of cognitive reappraisal with high spatiotemporal resolution.
• This fusion method is adaptable for other neuroimaging techniques utilizing simultaneous EEG-fMRI data.