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A component based noise correction method (CompCor) for BOLD and perfusion based fMRI.

Yashar Behzadi1, Khaled Restom, Joy Liau

  • 1UCSD Center for Functional Magnetic Resonance Imaging and Department of Radiology, 9500 Gilman Drive, MC 0677, La Jolla, CA 92093-0677, USA.

Neuroimage
|June 15, 2007
PubMed
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A new component based method (CompCor) effectively reduces noise in functional MRI (fMRI) data, improving signal detection. This method enhances the identification of activated brain regions in both BOLD and perfusion imaging.

Area of Science:

  • Neuroimaging
  • Biomedical Engineering
  • Signal Processing

Background:

  • Functional magnetic resonance imaging (fMRI) is susceptible to various noise sources.
  • Accurate analysis of fMRI data requires effective noise reduction strategies.
  • Existing methods like RETROICOR have limitations, including the need for external physiological monitoring.

Purpose of the Study:

  • To introduce and evaluate a novel component based method (CompCor) for reducing noise in fMRI data.
  • To compare the efficacy of CompCor against no correction and RETROICOR.
  • To assess CompCor's performance in both blood oxygenation level-dependent (BOLD) and perfusion-based fMRI.

Main Methods:

  • CompCor derives principal components from noise regions-of-interest (ROIs) unlikely to be affected by neural activity.

Related Experiment Videos

  • Two ROI determination approaches are explored: anatomical (white matter/CSF) and temporal standard deviation.
  • Derived components are incorporated as nuisance regressors in general linear models for fMRI data analysis.

    • Main Results:

    • CompCor significantly reduced temporal standard deviation in gray matter for resting-state BOLD and perfusion data.
    • Application of CompCor increased the number of activated voxels for both functional BOLD and perfusion data compared to no correction.
    • CompCor detected significantly more activated voxels in functional BOLD data than RETROICOR.

    Conclusions:

    • CompCor offers an effective strategy for noise reduction in BOLD and perfusion fMRI.
    • The method improves the sensitivity of fMRI analyses by increasing detected activated voxels.
    • CompCor eliminates the need for external physiological monitoring, offering a significant advantage over RETROICOR.