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[BOLD functional MRI: practical pitfalls].

T Nakada1

  • 1Department of Integrated Neuroscience Brain Research Institute, University of Niigata.

Rinsho Shinkeigaku = Clinical Neurology
|June 23, 1999
PubMed
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Criticism questions the validity of blood oxygenation level dependent contrast functional magnetic resonance imaging (BOLD-fMRI) due to motion and noise. This review discusses BOLD-fMRI pitfalls and correction methods to improve data reliability.

Area of Science:

  • Neuroimaging
  • Functional Magnetic Resonance Imaging (fMRI)

Context:

  • Mounting criticism questions the validity of BOLD-fMRI studies.
  • Key error sources include pixel misalignment and physiological noise.
  • Post-processing motion correction algorithms are commonly used.

Purpose:

  • Discuss practical pitfalls in BOLD-fMRI acquisition and analysis.
  • Review potential correction algorithms for motion and noise.
  • Address the unconfirmed validity of corrected BOLD-fMRI activation data.

Summary:

  • BOLD-fMRI is susceptible to errors like pixel misalignment and physiological noise.
  • Motion correction algorithms are applied but their effectiveness is debated.
  • This article examines BOLD-fMRI limitations and mitigation strategies.

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Impact:

  • Highlights the need for rigorous validation of BOLD-fMRI data.
  • Informs researchers about potential sources of error in neuroimaging.
  • Aims to improve the reliability and accuracy of fMRI findings.