A vendor-neutral functional MRI acquisition protocol for multi-site studies

We present an open, vendor-neutral BOLD SMS-EPI protocol tailored for multi-site fMRI studies, intended as a drop-in replacement for conventional vendor-specific acquisition and reconstruction pipelines. Built on Pulseq—an emerging standard for cross-platform MRI pulse sequence development—our protocol ensures identical SMS-EPI pulse sequences and image reconstruction across scanner vendors. This provides, for the first time, known and consistent experimental conditions across sites and scanner software versions. We begin by reviewing the current capabilities of the Pulseq framework, including vendor support and safety considerations. We then detail our SMS-EPI implementation and demonstrate its performance using resting-state fMRI pilot data from healthy volunteers, showing reduced site variance compared to corresponding vendor protocols on Siemens and GE scanners. To support adoption, we provide practical resources to help researchers integrate Pulseq fMRI into their studies, including example text for grant proposals and IRB submissions. These resources are freely available at https://github.com/HarmonizedMRI/Functional (https://github.com/HarmonizedMRI/Functional). Our vision is for Pulseq fMRI to become the standard for multi-site research, enabling more reproducible science and serving as a reference for the development of novel acquisition and reconstruction methods.

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Publication Details

Journal
Aperture Neuro
Published
2026-02-13
DOI
https://doi.org/10.52294/001c.155279
Primary Topic
Advanced MRI Techniques and Applications
Type
article
Field-Weighted Citation Impact
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article

A vendor-neutral functional MRI acquisition protocol for multi-site studies

Bradley P. Sutton, James H. Wang, Mojtaba Shafiekhani, Maximillian K Egan et al.
Aperture Neuro
Advanced MRI Techniques and Applications
article

A vendor-neutral functional MRI acquisition protocol for multi-site studies

Bradley P. Sutton, James H. Wang, Mojtaba Shafiekhani, Maximillian K Egan, D. Noll, Samuel A. Hurley, Jeffrey S Soldate, Stephen M. LaConte, Jon-Fredrik Nielsen, Jonathan Lisinski, Rüdiger Stirnberg, Jeffrey A. Fessler, Tony Stöcker, Qingping Chen, R. Allen Waggoner, Scott J. Peltier, Maxim Zaitsev
article en

Abstract

We present an open, vendor-neutral BOLD SMS-EPI protocol tailored for multi-site fMRI studies, intended as a drop-in replacement for conventional vendor-specific acquisition and reconstruction pipelines. Built on Pulseq—an emerging standard for cross-platform MRI pulse sequence development—our protocol ensures identical SMS-EPI pulse sequences and image reconstruction across scanner vendors. This provides, for the first time, known and consistent experimental conditions across sites and scanner software versions. We begin by reviewing the current capabilities of the Pulseq framework, including vendor support and safety considerations. We then detail our SMS-EPI implementation and demonstrate its performance using resting-state fMRI pilot data from healthy volunteers, showing reduced site variance compared to corresponding vendor protocols on Siemens and GE scanners. To support adoption, we provide practical resources to help researchers integrate Pulseq fMRI into their studies, including example text for grant proposals and IRB submissions. These resources are freely available at https://github.com/HarmonizedMRI/Functional (https://github.com/HarmonizedMRI/Functional). Our vision is for Pulseq fMRI to become the standard for multi-site research, enabling more reproducible science and serving as a reference for the development of novel acquisition and reconstruction methods.

Aperture NeuroVol. 6(SI 1)
University of Bonn (DE), University of Wisconsin–Madison (US), University of Illinois Urbana-Champaign (US), University of Michigan (US), RIKEN Center for Brain Science (JP), University Medical Center Freiburg (DE), German Center for Neurodegenerative Diseases (DE), Biomedical Research Institute (US), Virginia Tech (US)
Industry, innovation and infrastructure
Openalex Percentile: Top 56%
Advanced MRI Techniques and Applications
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