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A modified electrode cap for EEG recordings in MRI scanners
1Psychology Software Tools, Inc., Pittsburgh, PA 15221, USA. steveb@pstnet.com
Summary
This study modified a 64-electrode electroencephalography (EEG) cap for functional magnetic resonance imaging (fMRI) compatibility. The modified cap enables practical combined EEG/fMRI studies, including EEG source localization.
Area of Science:
- Neuroimaging
- Biomedical Engineering
Background:
- Functional magnetic resonance imaging (fMRI) and electroencephalography (EEG) are powerful tools for studying brain activity.
- Combining EEG and fMRI offers complementary temporal and spatial resolution but faces technical challenges due to hardware compatibility.
- Existing EEG electrode caps often contain metallic components that interfere with fMRI.
Purpose of the Study:
- To modify a 64-electrode EEG cap for compatibility with fMRI environments.
- To assess the impact of the modified cap and its associated cabling on MR image quality.
- To evaluate the feasibility of using the modified cap for combined EEG/fMRI studies, particularly for EEG source localization.
Main Methods:
- A stretchable 64-electrode EEG cap was modified by replacing ferromagnetic components with non-ferromagnetic materials.
- Magnetic susceptibility testing was performed on individual metallic components.
- Phantom studies were conducted to evaluate the effect of cable placement on MR image quality.
- Anatomical and functional MR images were acquired using the modified cap.
Main Results:
- Modified EEG cap components demonstrated minimal magnetic susceptibility.
- Cable placement significantly influenced MR image quality, necessitating careful routing.
- Acquired anatomical and functional MR images showed only modest signal loss, not hindering fMRI requirements.
- The modified cap facilitated faster electrode array application during MRI.
Conclusions:
- The modified 64-electrode EEG cap is compatible with fMRI environments.
- The modified cap enables practical and efficient combined EEG/fMRI studies.
- This advancement is particularly beneficial for studies aiming for EEG source localization.
- The developed methodology reduces technical barriers for multimodal neuroimaging research.