EEG signals simultaneously acquired during fMRI are noisy and contain artifacts that primarily arise from MRI gradient switching and cardiac pulsation. This toolbox includes a set of open-source Matlab functions implementing several published algorithms for removing such artifacts from EEG. These functions can be called individually or through a graphic user interface (GUI) compatible with the widely used EEG processing software (EEGLab).
This work is supported by the National Institute of Mental Health through a grant (R01-MH104402) to Dr. Zhongming Liu.
Cite this work
Researchers should cite this work as follows:
- Rodrigo Castellanos, Zhongming Liu (2016). Signal Processing Toolbox for Simultaneously Acquired fMRI and EEG. (Version 1.1). Purdue University Research Repository. doi:10.4231/R7DB7ZSC
Signal Processing Toolbox for Simultaneous fMRI-EEG
DISCLAIMER AND CONDITIONS FOR USE:
This software is distributed under the terms of the GNU General Public
License v3, dated 2007/06/29 (see http://www.gnu.org/licenses/gpl.html).
Use of this software is at the user's OWN RISK. Functionality is not
guaranteed by creator nor modifier(s), if any. This software may be freely
copied and distributed. The original header MUST stay part of the file and
modifications MUST be reported in the 'MODIFICATION HISTORY'-section,
including the modification date and the name of the modifier.
June 12, 2015
Miguel Rodrigo Castellanos
Electrical and Compute Engineering
Zhongming Liu, PhD
Assistant Professor of Biomedical Engineering
Assistant Professor of Electrical and Computer Engineering
This toolbox can be used in conjunction with EEGLAB software (http://sccn.ucsd.edu/eeglab/) to remove
gradient and ballistocardiac artifacts from EEG datasets using a variety of algorithms. The toolbox
comes with a GUI to easily choose the desired settings for artifact removal.
- Use EEGLAB v13.4.4 for optimal performance.
- Place the file "eegplugin_gac_cbc.m" in the plugins folder of your EEGLAB directory in
order to utilize the toolbox as an eeglab plug-in.
- To initiate the gui as a plug-in, load an EEG dataset using EEGLAB and then click
GAC-CBC Removal under Tools. Use the "Output Name" option to determine the name
of the corrected dataset that will be assigned in the MATLAB workspace.
- Alternatively, load an EEG dataset using EEGLAB and use the command
OUTEEG = amri_gui_init(EEG);
where EEG is the uncorrected data and OUTEEG is the corrected output.
If you want to report a bug or need help with troubleshooting issues please contact:
Miguel Rodrigo Castellanos
Laboratory of Integrated Brain Imaging
This publication belongs to the Laboratory of Integrated Brain Imaging group.