Resting-state fMRI at 1.5T, 3T, and 7T: comparison of functional networks from data-driven Independent Component Analysis

Motivation: Resting-state BOLD fMRI reveals the brain's default functional state, with important insights for clinical applications and studying brain development. Few studies examined the impact of higher field strengths on detecting functional networks. Goal(s): To compare the reliability of resting-state BOLD fMRI at 1.5T, 3T, and 7T in identifying brain networks. Approach: Seven volunteers were scanned, and functional networks were extracted via Independent Component Analysis. Inter-subject similarity of the Default Mode and Visual Networks was used to assess reliability. Results: Higher field strengths improved inter-subject similarity, with 7T successfully detecting networks in all participants. Impact: This study compares resting-state BOLD-fMRI at 1.5T, 3T, and 7T, showing increased inter-subject similarity of brain networks at higher field strength. Only 7T reliably identified networks in all participants, suggesting greater reliability at ultra-high field strength.

Authors

Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2025-09-16
DOI
https://doi.org/10.58530/2025/5191
Primary Topic
Functional Brain Connectivity Studies
Type
article
Field-Weighted Citation Impact
0.00
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article

Resting-state fMRI at 1.5T, 3T, and 7T: comparison of functional networks from data-driven Independent Component Analysis

Pierfrancesco Ambrosi, Graziella Donatelli, Michela Tosetti, Marta Lancione et al.
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Functional Brain Connectivity Studies
article

Resting-state fMRI at 1.5T, 3T, and 7T: comparison of functional networks from data-driven Independent Component Analysis

Pierfrancesco Ambrosi, Graziella Donatelli, Michela Tosetti, Marta Lancione, Domenico Montanaro, Laura Biagi
article en

Abstract

Motivation: Resting-state BOLD fMRI reveals the brain's default functional state, with important insights for clinical applications and studying brain development. Few studies examined the impact of higher field strengths on detecting functional networks. Goal(s): To compare the reliability of resting-state BOLD fMRI at 1.5T, 3T, and 7T in identifying brain networks. Approach: Seven volunteers were scanned, and functional networks were extracted via Independent Component Analysis. Inter-subject similarity of the Default Mode and Visual Networks was used to assess reliability. Results: Higher field strengths improved inter-subject similarity, with 7T successfully detecting networks in all participants. Impact: This study compares resting-state BOLD-fMRI at 1.5T, 3T, and 7T, showing increased inter-subject similarity of brain networks at higher field strength. Only 7T reliably identified networks in all participants, suggesting greater reliability at ultra-high field strength.

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Openalex Percentile: Top 75%
Functional Brain Connectivity Studies
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