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

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posted on 2024-04-26, 09:49 authored by J.M. Groot, S. MiletićS. Miletić, S.J.S. Isherwood, Desmond H. Y. Tse, Sarah Habli, Asta K. Håberg, P.L.E.A. BazinP.L.E.A. Bazin, Matthias MittnerMatthias Mittner, B.U. ForstmannB.U. Forstmann

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 an advanced whole-brain, resting-state functional magnetic resonance imaging (rs-fMRI) dataset at ultra-high field (7 Tesla) from 56 healthy adults (33 females, ages 19-39 years). Whole-brain functional images were acquired in two multiband EPI-BOLD runs of 15 min each during eyes-open wakeful rest (TR=1380 ms, TE=14 ms, flip angle=60 degrees, GRAPPA factor=3, multiband acceleration factor=2, voxel size=1.5 mm isotropic). An additional scan was performed with opposite phase encoding direction to measure and correct for susceptibility-induced field distortions. The high spatial resolution and short echo times of this imaging 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 images (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.

Funding

ERC-2020-Cog-864750

The brain at depth: A model-based cognitive neuroscience approach to the human subcortex

Dutch Research Council

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Retention period

2034-04-26

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    University of Amsterdam / Amsterdam University of Applied Sciences

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