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Dipole source localization of mouse electroencephalogram using the Fieldtrip toolbox
Chungki Lee1, Robert Oostenveld, Soo Hyun Lee
1Center for Bionics, Biomedical Research Institute, Korea Institute of Science and Technology, Seoul, South Korea.
Plos One
|November 19, 2013
Summary
Researchers developed a new functional brain mapping method for mice using high-density electroencephalography (EEG) and source estimation. This technique reliably identifies brain activity, enhancing neuroscience research and cross-species comparisons.
Area of Science:
- Neuroscience
- Biomedical Engineering
- Computational Neuroscience
Background:
- Mouse models are crucial for neuroscience research, but limited functional brain mapping techniques hinder detailed study.
- Existing methods for mapping brain activity in mice lack the resolution and robustness needed for precise analysis.
- Comparing mouse and human brain function is challenging due to disparities in functional mapping capabilities.
Purpose of the Study:
- To develop and validate a novel, high-resolution functional brain mapping method for awake mice.
- To enable precise localization of electrophysiological activity in the mouse brain.
- To facilitate cross-species comparative studies of brain function between mice and humans.
Main Methods:
- Acquisition of high-density electroencephalography (EEG) using a microarray.
- EEG source estimation using the Fieldtrip toolbox, adapted for flexible volume conduction modeling.
- Comparison of three source estimation techniques: Minimum Norm Estimation (MNE), Multiple Signal Classification (MUSIC), and single-dipole fitting.
- Validation using optogenetic tools to create known neural sources and Receiver Operating Characteristic (ROC) analysis for accuracy assessment.
Main Results:
- The developed method provides fast and robust in vivo functional brain mapping in mice.
- High detection accuracy was achieved: MNE and MUSIC algorithms showed false positive rates below 1.3% and 7% at 90% sensitivity, respectively.
- The single-dipole fitting algorithm achieved a mean center-to-center localization accuracy of less than 1.2 mm.
- The microarray EEG source localization offers a reliable approach for functional brain mapping in awake mice.
Conclusions:
- The presented method significantly advances functional brain mapping capabilities in mouse models.
- This technique offers a reliable tool for localizing electrophysiological origins in the mouse brain.
- Enables robust cross-species functional brain studies by bridging the gap between mouse and human brain mapping.
