Correcting for Superficial Bias in 7T Gradient Echo fMRI.

ABSTRACT: The arrival of submillimeter ultra high-field fMRI makes it possible to compare activation profiles across cortical layers. However, the blood oxygenation level dependent (BOLD) signal measured by gradient echo (GE) fMRI is biased toward superficial layers of the cortex, which is a serious confound for laminar analysis. Several univariate and multivariate analysis methods have been proposed to correct this bias. We compare these methods using computational simulations of 7T fMRI data from regions of interest (ROI) during a visual attention paradigm. We also tested the methods on a pilot dataset of human 7T fMRI data. The simulations show that two methods-the ratio of ROI means across conditions and a novel application of Deming regression-offer the most robust correction for superficial bi

SUBMITTER: Huang P 

PROVIDER: S-EPMC8494131 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature