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Published on: November 30, 2017
Co-localized optode-electrode design for multimodal functional near infrared spectroscopy and electroencephalography.
De'Ja Rogers1, Walker Joseph O'Brien1,2, Yuanyuan Gao1
1Boston University, Neurophotonics Center, Department of Biomedical Engineering, Boston, Massachusetts, United States.
Custom functional near-infrared spectroscopy (fNIRS) sources were developed for combined mobile brain imaging. This novel approach enhances portability for high-density fNIRS-EEG studies without interference, enabling real-time neuroscience research.
Area of Science:
- Neuroscience
- Biomedical Engineering
- Cognitive Science
Background:
- Mobile brain imaging in real-world settings is crucial for translating neuroscience research.
- Combined functional near-infrared spectroscopy (fNIRS) and electroencephalography (EEG) offer insights into brain activity but face limitations in modularity and portability, especially for high-density (HD) measurements.
- Existing cap designs restrict the integration of HD-fNIRS with EEG.
Purpose of the Study:
- To develop and test custom fNIRS sources that integrate directly with EEG electrodes.
- To enhance the modularity and portability of combined fNIRS-EEG systems for mobile brain imaging.
- To validate the utility of co-located fNIRS and EEG optodes in a cognitive task.
Main Methods:
- Custom fNIRS sources were designed to attach to EEG electrodes.
- Potential interference between fNIRS sources and EEG signals was assessed.
- A high-density fNIRS-EEG measurement was conducted during a modified Stroop task with co-located opto-electrode positions.
Main Results:
- No observable interference was detected between the fNIRS source optodes and EEG spectral analysis.
- Performance, fNIRS, and EEG data from the Stroop task aligned with previous research findings.
- Increased brain activation was observed in regions of interest using both fNIRS and EEG.
Conclusions:
- The co-localization of fNIRS sources and EEG electrodes is a viable and promising approach for multimodal brain imaging.
- This method overcomes limitations in modularity and portability, facilitating real-time, ecologically valid neuroscience research.
- The developed custom fNIRS sources enable enhanced mobile brain imaging capabilities.
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