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Using High Spatial Resolution to Improve BOLD fMRI Detection at 3T
Author(s) -
Juliana Iranpour,
Gil Morrot,
Béatrice Claise,
Betty Jean,
J.-M. Bonny
Publication year - 2015
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0141358
Subject(s) - voxel , contrast (vision) , functional magnetic resonance imaging , artifact (error) , partial volume , communication noise , image resolution , high resolution , neuroimaging , artificial intelligence , blood oxygenation , temporal resolution , magnetic resonance imaging , computer science , brain mapping , pattern recognition (psychology) , neuroscience , medicine , psychology , physics , radiology , linguistics , philosophy , remote sensing , quantum mechanics , geology
For different functional magnetic resonance imaging experiments using blood oxygenation level-dependent (BOLD) contrast, the acquisition of T 2 *-weighted scans at a high spatial resolution may be advantageous in terms of time-course signal-to-noise ratio and of BOLD sensitivity when the regions are prone to susceptibility artifacts. In this study, we explore this solution by examining how spatial resolution influences activations elicited when appetizing food pictures are viewed. Twenty subjects were imaged at 3 T with two different voxel volumes, 3.4 μl and 27 μl. Despite the diminution of brain coverage, we found that high-resolution acquisition led to a better detection of activations. Though known to suffer to different degrees from susceptibility artifacts, the activations detected by high spatial resolution were notably consistent with those reported in published activation likelihood estimation meta-analyses, corresponding to taste-responsive regions. Furthermore, these regions were found activated bilaterally, in contrast with previous findings. Both the reduction of partial volume effect, which improves BOLD contrast, and the mitigation of susceptibility artifact, which boosts the signal to noise ratio in certain regions, explained the better detection noted with high resolution. The present study provides further evidences that high spatial resolution is a valuable solution for human BOLD fMRI, especially for studying food-related stimuli.

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