Bias Introduced by Multiple Head Coils in MRI Research: An 8 Channel and 32 Channel Coil Comparison

Frontiers in Neuroscience
Jessica L PanmanAnne Hafkemeijer

Abstract

Neuroimaging MRI data in scientific research is increasingly pooled, but the reliability of such studies may be hampered by the use of different hardware elements. This might introduce bias, for example when cross-sectional studies pool data acquired with different head coils, or when longitudinal clinical studies change head coils halfway. In the present study, we aimed to estimate this possible bias introduced by using different head coils to create awareness and to avoid misinterpretation of results. We acquired, with both an 8 channel and 32 channel head coil, T1-weighted, diffusion tensor imaging and resting state fMRI images at 3T MRI (Philips Achieva) with stable acquisition parameters in a large group of cognitively healthy participants (n = 77). Standard analysis methods, i.e., voxel-based morphometry, tract-based spatial statistics and resting state functional network analyses, were used in a within-subject design to compare 8 and 32 channel head coil data. Signal-to-noise ratios (SNR) for both head coils showed similar ranges, although the 32 channel SNR profile was more homogeneous. Our data demonstrates specific patterns of gray and white matter volume differences between head coils (relative volume change of 6 to ...Continue Reading

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Citations

Oct 26, 2020·Frontiers in Neuroendocrinology·Manon DubolErika Comasco
Aug 24, 2021·The Journal of Pain : Official Journal of the American Pain Society·Jared J TannerKimberly T Sibille

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Software Mentioned

FSL
FMRIB
CLEAR
MCFLIRT
Automated Segmentation Tool ( FAST )
fMRI Expert Analysis Tool ( FEAT )
FMRBIB Diffusion Toolbox
VBM
Functional Magnetic Resonance Imaging of the Brain Software Li...

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