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Optimization and validation of multi-echo, multi-contrast SAGE acquisition in fMRI.
Elizabeth G Keeling1,2, Maurizio Bergamino1, Sudarshan Ragunathan1,3
1Barrow Neuroimaging Innovation Center, Barrow Neurological Institute, Phoenix, AZ, United States.
Imaging Neuroscience (Cambridge, Mass.)
|October 25, 2024
Summary
This study optimized a novel multi-echo fMRI technique, SAGE-fMRI, enhancing sensitivity and spatial specificity for clearer brain imaging. The advanced method improves signal quality, offering more accurate functional MRI (fMRI) analysis.
Area of Science:
- Neuroimaging
- Magnetic Resonance Imaging (MRI)
Background:
- Functional MRI (fMRI) is crucial for neuroscience research.
- Existing methods can suffer from signal dropout and limited spatial specificity.
Purpose of the Study:
- To optimize and validate a combined spin- and gradient-echo (SAGE) acquisition for multi-contrast, multi-echo fMRI.
- To enhance sensitivity, spatial specificity, and reduce signal dropout in fMRI.
Main Methods:
- Acquired SAGE-fMRI data across 12 protocols with varying acceleration factors and five echoes.
- Optimized protocol using multiband and SENSE factors, assessed temporal SNR (tSNR).
- Implemented in working memory and vision tasks, analyzed using various echo combinations and relaxation times (T2* and T2).
Main Results:
- Optimized SAGE-fMRI protocol achieved adequate spatiotemporal resolution with minimal artifacts.
- SAGE-fMRI demonstrated higher BOLD contrast-to-noise ratio (CNR) and tSNR compared to single-echo fMRI.
- Activation extent varied by analysis method, with T2*-weighting showing the largest extent in a working memory task.
Conclusions:
- SAGE-fMRI combines benefits of gradient-echo and spin-echo acquisitions for improved spatial localization and sensitivity.
- The method offers substantial advantages for more accurate fMRI analysis by enhancing CNR and tSNR.
- SAGE-fMRI provides two valuable contrasts for comprehensive brain activity assessment.

