A high-resolution 7 Tesla resting-state fMRI dataset optimized for studying the subcortex
Josephine M. Groot,
Steven Miletic,
Scott J.S. Isherwood,
Desmond H.Y. Tse,
Sarah Habli,
Asta K. Håberg,
Pierre-Louis Bazin,
Matthias Mittner,
Birte U. Forstmann
Affiliations
Josephine M. Groot
Integrative Model-based Cognitive Neuroscience research unit, University of Amsterdam, Amsterdam, 1001 NK, the Netherlands; Department of Psychology, UiT – The Arctic University of Norway, Tromsø, 9037, Norway
Steven Miletic
Integrative Model-based Cognitive Neuroscience research unit, University of Amsterdam, Amsterdam, 1001 NK, the Netherlands; Institute of Psychology, Leiden University, Leiden, 2300, the Netherlands
Scott J.S. Isherwood
Integrative Model-based Cognitive Neuroscience research unit, University of Amsterdam, Amsterdam, 1001 NK, the Netherlands
Desmond H.Y. Tse
Department of Neuropsychology and Psychopharmacology, Maastricht University, Maastricht, MD 6200, the Netherlands
Sarah Habli
Department of Psychology, Norwegian University of Science and Technology, Trondheim, 8900, Norway
Asta K. Håberg
Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, Trondheim, 8900, Norway; Department of Radiology and Nuclear Medicine, St. Olavs Hospital, Trondheim, 7006, Norway
Pierre-Louis Bazin
Full brain picture Analytics, 2332 XB Leiden, the Netherlands
Matthias Mittner
Department of Psychology, UiT – The Arctic University of Norway, Tromsø, 9037, Norway
Birte U. Forstmann
Integrative Model-based Cognitive Neuroscience research unit, University of Amsterdam, Amsterdam, 1001 NK, the Netherlands; Corresponding author.
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.
