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Updated: Jun 25, 2026

Concurrent EEG and Functional MRI Recording and Integration Analysis for Dynamic Cortical Activity Imaging

Concurrent EEG and Functional MRI Recording and Integration Analysis for Dynamic Cortical Activity Imaging

Published on: June 30, 2018

Three-dimensional source imaging from simultaneously recorded ERP and BOLD-fMRI.

Xiaoxiao Bai¹, Zhongming Liu, Nanyin Zhang

¹Department of Biomedical Engineering, University of Minnesota, Minneapolis, MN 55455, USA.

IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society

|February 21, 2009

Summary

This study integrates electroencephalogram (EEG) and functional magnetic resonance imaging (fMRI) to create high-resolution 3-D brain images. The combined approach successfully mapped electrical activity in visual cortex areas V1/V2 and V5.

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Area of Science:

Neuroscience
Medical Imaging
Brain Activity Mapping

Background:

Functional magnetic resonance imaging (fMRI) offers high spatial resolution but limited temporal resolution.
Electroencephalogram (EEG) provides excellent temporal resolution but poor spatial localization.
Integrating fMRI and EEG can overcome individual limitations for comprehensive brain activity analysis.

Purpose of the Study:

To develop and validate a method for 3-D electroencephalogram (EEG) source imaging using functional magnetic resonance imaging (fMRI) data.
To investigate the spatiotemporal dynamics of visual processing in the human brain.
To demonstrate the benefits of multimodal neuroimaging for enhanced functional brain mapping.

Main Methods:

Utilized the minimum norm least square (MNLS) method for EEG source reconstruction.

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Last Updated: Jun 25, 2026

Concurrent EEG and Functional MRI Recording and Integration Analysis for Dynamic Cortical Activity Imaging

Concurrent EEG and Functional MRI Recording and Integration Analysis for Dynamic Cortical Activity Imaging

Published on: June 30, 2018

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Integrated MNLS with fMRI statistical parametric mapping for improved spatial accuracy.

Recorded simultaneous and separate EEG and fMRI data from five subjects during visual stimulation (checkerboard pattern-reversal).

Main Results:

Successfully generated 3-D EEG source images by combining EEG and fMRI data.
Electrical activities in the V1/V2 visual areas were localized within the N75-P100-N145 EEG components.
Electrical activities in the V5 visual area were localized within the P100-N145 EEG components.

Conclusions:

The integration of simultaneously recorded fMRI and EEG data enables high-resolution spatiotemporal functional neuroimaging.
This multimodal approach enhances the ability to accurately map brain electrical activity.
The findings highlight the potential of combined fMRI-EEG for advanced neuroscience research and clinical applications.