A high-resolution 7 Tesla resting-state fMRI dataset optimized for studying the subcortex

To achieve a comprehensive understanding of spontaneous brain dynamics in humans, in vivo acquisition of intrinsic activity across both cortical and subcortical regions is necessary. Here we present advanced whole-brain, resting-state functional magnetic resonance imaging (rs-fMRI) data acquired at...

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Bibliographic Details
Published inData in brief Vol. 55; p. 110668
Main Authors Groot, Josephine M., Miletic, Steven, Isherwood, Scott J.S., Tse, Desmond H.Y., Habli, Sarah, Håberg, Asta K., Bazin, Pierre-Louis, Mittner, Matthias, Forstmann, Birte U.
Format Journal Article
LanguageEnglish
Published Netherlands Elsevier Inc 01.08.2024
Elsevier
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Summary:To achieve a comprehensive understanding of spontaneous brain dynamics in humans, in vivo acquisition of intrinsic activity across both cortical and subcortical regions is necessary. Here we present advanced whole-brain, resting-state functional magnetic resonance imaging (rs-fMRI) data acquired at 7 Tesla with 1.5 mm isotropic voxel resolution. Functional images were obtained from 56 healthy adults (33 females, ages 19–39 years) in two runs of 15 min eyes-open wakeful rest. The high spatial resolution and short echo times of the multiband echo-planar imaging (EPI) protocol optimizes blood oxygen level-dependent (BOLD)-sensitivity for the subcortex while concurrent respiratory and cardiac measures enable retrospective correction of physiological noise, resulting in data that is highly suitable for researchers interested in subcortical BOLD signal. Functional timeseries were coregistered to high-resolution T1-weighted structural data (0.75 mm isotropic voxels) acquired during the same scanning session. To accommodate data reutilization, functional and structural images were formatted to the Brain Imaging Data Structure (BIDS) and preprocessed with fMRIPrep.
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ISSN:2352-3409
2352-3409
DOI:10.1016/j.dib.2024.110668