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

Area of Science:

• Neuroimaging
• Human Brain Dynamics
• Magnetic Resonance Imaging

Background:

• Understanding spontaneous brain activity requires whole-brain imaging of cortical and subcortical regions.
• Advanced functional magnetic resonance imaging (fMRI) techniques are crucial for detailed human brain studies.

Purpose of the Study:

• To present high-resolution, whole-brain resting-state fMRI (rs-fMRI) data acquired at 7 Tesla.
• To provide data optimized for subcortical blood oxygen-level-dependent (BOLD) signal analysis.

Main Methods:

• Acquired rs-fMRI data at 7 Tesla with 1.5 mm isotropic resolution from 56 healthy adults.
• Utilized multiband echo-planar imaging (EPI) with short echo times for enhanced BOLD sensitivity.
• Collected concurrent physiological data for noise correction and formatted data to Brain Imaging Data Structure (BIDS).

Main Results:

• Acquired high-quality, whole-brain rs-fMRI data with excellent spatial resolution.
• The protocol demonstrated optimized BOLD sensitivity, particularly for subcortical regions.
• Functional and structural data were coregistered and preprocessed using fMRIPrep for data sharing.

Conclusions:

• The presented 7 Tesla rs-fMRI dataset offers a valuable resource for studying human brain dynamics.
• The data's high spatial resolution and optimized subcortical sensitivity facilitate detailed investigations.
• This dataset supports broad research applications in neuroscience and brain imaging.