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

Taylor Salo1,2,3, S Parker Singleton1,2,3, Corey Horien1,2

  • 1Penn Lifespan Informatics and Neuroimaging Center, Richards Research Labs, 5th Floor, 3700 Hamilton Walk, University of Pennsylvania, Philadelphia, PA, 19104, USA.

Data in Brief
|July 11, 2026
PubMed
Summary
This summary is machine-generated.

This study introduces a new neuroimaging dataset for comparing single-echo and multi-echo functional MRI (fMRI) techniques. The data enable direct evaluation of advanced acquisition and processing methods for brain imaging.

Keywords:
Functional connectivityFunctional imagingMulti-echoReliabilityWorking memoryfMRI

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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.