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Best Current Practice for Obtaining High Quality EEG Data During Simultaneous fMRI
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Quantitative Analyses Help in Choosing Between Simultaneous vs. Separate EEG and fMRI.

Maarten Schrooten1,2, Rik Vandenberghe1,2, Ronald Peeters3

  • 1Laboratory for Cognitive Neurology, KU Leuven, Leuven, Belgium.

Frontiers in Neuroscience
|January 29, 2019
PubMed
Summary
This summary is machine-generated.

Simultaneous electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) offer combined brain imaging strengths. This study quantifies signal quality changes during simultaneous versus separate recordings, revealing subtle but significant impacts.

Keywords:
EEG-fMRIFFTTSNRartifactsqualitysimultaneousspectrogram

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Area of Science:

  • Neuroscience
  • Biomedical Engineering
  • Medical Imaging

Background:

  • Simultaneous electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) merge high temporal and spatial resolution for non-invasive brain study.
  • This integration faces challenges with increased measurement artifacts and preprocessing demands.

Purpose of the Study:

  • To evaluate residual signal quality in simultaneously recorded EEG-fMRI compared to separate recordings.
  • To assess the impact of image acquisition on EEG and fMRI signal integrity.
  • To develop tools for quality assessment of combined EEG-fMRI data.

Main Methods:

  • Comparison of temporal signal-to-noise ratio (TSNR) for fMRI and fast Fourier transform (FFT) for EEG.
  • Analysis of signals recorded inside and outside the MRI scanner, during and prior to image acquisition.
  • Development of a graphical user interface for quality checking.

Main Results:

  • EEG: Frequency and region-dependent changes in FFT amplitudes were observed, with greater effects during image acquisition.
  • fMRI: TSNR differences were noted in specific brain regions (occipital, parietal, cingulum, diencephalon, brainstem) between simultaneous and separate recordings.
  • Quantification revealed significant, albeit subtle, signal alterations between simultaneous and separate EEG-fMRI measurements.

Conclusions:

  • Simultaneous EEG-fMRI measurements introduce significant, quantifiable signal changes compared to separate recordings.
  • Careful quantitative evaluation is essential to ensure uncorrectable artifacts do not interfere with research-specific regions or frequencies.
  • A user interface aids in quality control for simultaneous EEG-fMRI data.