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Related Experiment Video

Updated: Sep 11, 2025

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Leveraging multi-echo EPI to enhance BOLD sensitivity in task-based olfactory fMRI.

Ludwig Sichen Zhao1,2, Clara U Raithel2,3, M Dylan Tisdall4

  • 1Department of Bioengineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, United States.

Imaging Neuroscience (Cambridge, Mass.)
|August 13, 2025
PubMed
Summary

Multi-echo EPI (ME-EPI) enhances blood-oxygen-level-dependent (BOLD) functional MRI (fMRI) in olfactory regions. This advanced technique improves signal sensitivity and reduces artifacts compared to conventional single-echo EPI (1E-EPI).

Keywords:
ME-ICAmulti-echo EPIolfactionsusceptibility artifactstask-based fMRI

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Area of Science:

  • Neuroimaging
  • Magnetic Resonance Imaging
  • Olfactory Neuroscience

Background:

  • Blood-oxygen-level-dependent (BOLD) functional magnetic resonance imaging (fMRI) is crucial for neuroscience research.
  • Acquiring BOLD fMRI in human olfactory regions is challenging due to magnetic field distortions near sinuses and respiratory artifacts.
  • Conventional gradient echo-echo planar imaging (GE-EPI) is susceptible to these artifacts, limiting olfactory fMRI studies.

Purpose of the Study:

  • To develop and validate a multi-echo EPI (ME-EPI) acquisition protocol for task-based fMRI in human olfactory regions.
  • To compare the performance of ME-EPI against conventional single-echo EPI (1E-EPI) in terms of BOLD signal sensitivity and artifact reduction.
  • To provide evidence supporting the use of ME-EPI for improved olfactory fMRI.

Main Methods:

  • Developed a novel ME-EPI acquisition protocol tailored for olfactory fMRI.
  • Acquired fMRI data using both ME-EPI and 1E-EPI sequences.
  • Applied signal processing techniques, including a T2*-weighted echo combination and Multi-Echo Independent Components Analysis (ME-ICA) for denoising.

Main Results:

  • Demonstrated significantly improved BOLD signal sensitivity with ME-EPI compared to 1E-EPI.
  • Observed enhanced BOLD signal changes through T2*-weighted echo combination in ME-EPI.
  • Showcased a reduction in non-BOLD artifacts using the ME-ICA denoising method with ME-EPI data.

Conclusions:

  • ME-EPI offers superior BOLD signal sensitivity for task-based fMRI in challenging high-susceptibility regions like the human olfactory system.
  • The combination of ME-EPI acquisition and ME-ICA denoising effectively mitigates artifacts common in olfactory fMRI.
  • This study strongly advocates for the adoption of ME-EPI protocols in future fMRI research involving olfactory tasks and other brain regions prone to susceptibility artifacts.