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Poster A126 in Poster Session A - Tuesday, August 6, 2024, 4:15 – 6:15 pm, Johnson Ice Rink
A new proposed workflow for processing high spatial resolution MRI data with multiple sessions
Carlos Alexandre Gomes1, Sriranga Kashyap2, Khazar Ahmadi1, Nikolai Axmacher1, Kâmil Uludağ2,3; 1Ruhr University Bochum, 2Krembil Brain Institute, 3University of Toronto
In recent years, there has been a surging interest in high spatial resolution (high-res) fMRI at 7T, given the obvious benefits of increased BOLD contrast and spatial resolution compared to 3T fMRI. Even though 7T high-res fMRI is often limited to partial brain coverage and has mostly been applied to primary cortices, a growing interest has arisen to image sub-cortical regions, such as the hippocampus. Unfortunately, inter-session registration of high-res fMRI data remains challenging, as high-res fMRI is extremely sensitive to differences in head position and orientation, which can result in distortions, as well as regions of dropouts and artefacts. Here, we present a workflow that has been developed for the preprocessing of small field-of-view, multi-session and sub-millimetre resolution fMRI data of non-neocortical structures. Using two metrics to evaluate the quality of image registration, we show that our pipeline performs exceptionally well on multi-session high-res fMRI data acquired over the course of two days. In addition, the pipeline was successfully applied to all subjects, allowing for a meaningful analysis of hippocampus layers.
Keywords: 7T fMRI high spatial resolution spatial navigation hippocampus