A single-echo/multi-echo BOLD fMRI test-retest dataset.

Area of Science:

• Neuroimaging
• Magnetic Resonance Imaging (MRI)
• Cognitive Neuroscience

Background:

• Functional MRI (fMRI) is crucial for non-invasive human brain studies.
• Multi-echo fMRI offers improved signal-to-noise and denoising potential.
• Advanced MRI processing, including phase data, is rapidly evolving.

Purpose of the Study:

• To present a comprehensive neuroimaging dataset for comparing single-echo and multi-echo fMRI.
• To facilitate direct, within-subject comparisons of imaging methodologies.
• To enable evaluation of advanced acquisition and processing techniques.

Main Methods:

• Dataset includes T1-weighted anatomical scans, resting-state fMRI (single-echo and multi-echo), and task-based fMRI (n-back task).
• Acquisition parameters include magnitude and phase reconstruction, and noise-only volumes.
• Data from eight young adults with test-retest sessions are provided.

Main Results:

• The dataset allows for direct comparison of single-echo and multi-echo functional MRI (fMRI) methodologies.
• Raw imaging files and open-source processing pipeline derivatives are released.
• The data support studies on the impact of advanced techniques on test-retest reliability.

Conclusions:

• This dataset provides a valuable resource for the neuroimaging community.
• It enables rigorous comparison of emerging and established fMRI techniques.
• Facilitates research into optimizing brain imaging acquisition and processing for reliability.