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Updated: Aug 15, 2026
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Reliable Acquisition of Electroencephalography Data during Simultaneous Electroencephalography and Functional MRI
Published on: March 19, 2021
Silent fMRI acquisition methods for large acoustic noise during scan
Tomohisa Okada1, Toshiharu Nakai
1Institute for Biomedical Research and Innovation, 2-2 Minatojima Minamimachi, Chuo-ku, Kobe 650-0047, Japan.
Summary
Functional magnetic resonance imaging (fMRI) noise can interfere with auditory and cognitive tasks. This study introduces software solutions to mitigate these effects in existing scanners, improving data quality.
Area of Science:
- Neuroimaging
- Cognitive Neuroscience
- Biomedical Engineering
Background:
- Functional magnetic resonance imaging (fMRI) is a key tool for neuroscience research.
- Acoustic noise from fMRI scanners poses significant challenges.
- This noise can negatively impact auditory processing, task performance, and neural activation patterns.
Purpose of the Study:
- To address the detrimental effects of fMRI acoustic noise on experimental outcomes.
- To present and discuss software-based noise reduction strategies.
- To evaluate these strategies for different experimental designs (block vs. event-related).
Main Methods:
- Focus on software solutions applicable to installed fMRI scanners.
- Analysis of noise mitigation techniques.
- Comparison of methods based on experimental design suitability.
Main Results:
- Software solutions offer a viable approach to reduce fMRI noise impact.
- Effectiveness varies depending on the specific task and design.
- Discussion of trade-offs for optimal implementation.
Conclusions:
- Implementing software-based noise reduction is crucial for reliable fMRI studies.
- Careful consideration of task design is necessary for method selection.
- These methods enhance the utility of fMRI in diverse research settings.
