Ultrafast <scp>fMRI</scp> Detects Age‐Related Changes in Harmonics of Cardiac Pulsations in the Brain at 7 T

ABSTRACT Purpose Aging impacts pulsatility of blood vessels in the brain, reflecting vascular health. Resolving characteristics of cardiac pulsatility requires faster acquisitions than traditional fMRI. An ultrafast fMRI method was developed and applied to sample several harmonics of cardiac pulsations at 7 T. Methods Leveraging partial separability, an ultrafast fMRI method (TR = 65 ms) was applied at 7 T with full brain coverage at 2 mm isotropic resolution and concurrent pulse plethysmographic (PPG) recordings in 28 healthy adults, 22 of whom had acceptable PPG and MRI data. The reliability of the pulsation was assessed for each voxel through even/odd splitting of heartbeats. The PPG was used to retrospectively temporally align signals across heartbeats, and analysis was performed on amplitudes of harmonic frequencies to explore age‐ and sex‐related differences. Reliable measures of four harmonics of the heartbeat were characterized along with the ratios of the harmonics to the primary harmonic. Results High reliability of the pulsation was found near major arteries, tested by Spearman correlation between the first harmonic and a vessel atlas ( p &lt; 0.0001). Consistent with previous literature, older adults exhibited higher harmonic amplitudes with the strongest result in the second harmonic in gray matter with FDR‐corrected q = 0.020. In addition, males had a higher third‐to‐first harmonic ratio. Conclusion Ultrafast fMRI can reliably resolve several harmonics of cardiac pulsations in the brain in and around blood vessels. This may provide a way to characterize vascular health throughout the brain during aging.

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Journal
Magnetic Resonance in Medicine
Published
2026-05-10
DOI
https://doi.org/10.1002/mrm.70429
Primary Topic
Advanced MRI Techniques and Applications
Type
article
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article

Ultrafast fMRI Detects Age‐Related Changes in Harmonics of Cardiac Pulsations in the Brain at 7 T

Bradley P. Sutton, Monica Fabiani, Dema Abdelkarim, Yuhui Chai et al.
Magnetic Resonance in Medicine
Advanced MRI Techniques and Applications
article

Ultrafast fMRI Detects Age‐Related Changes in Harmonics of Cardiac Pulsations in the Brain at 7 T

Bradley P. Sutton, Monica Fabiani, Dema Abdelkarim, Yuhui Chai, Charles Marchini, Gabriele Gratton
article en

Abstract

ABSTRACT Purpose Aging impacts pulsatility of blood vessels in the brain, reflecting vascular health. Resolving characteristics of cardiac pulsatility requires faster acquisitions than traditional fMRI. An ultrafast fMRI method was developed and applied to sample several harmonics of cardiac pulsations at 7 T. Methods Leveraging partial separability, an ultrafast fMRI method (TR = 65 ms) was applied at 7 T with full brain coverage at 2 mm isotropic resolution and concurrent pulse plethysmographic (PPG) recordings in 28 healthy adults, 22 of whom had acceptable PPG and MRI data. The reliability of the pulsation was assessed for each voxel through even/odd splitting of heartbeats. The PPG was used to retrospectively temporally align signals across heartbeats, and analysis was performed on amplitudes of harmonic frequencies to explore age‐ and sex‐related differences. Reliable measures of four harmonics of the heartbeat were characterized along with the ratios of the harmonics to the primary harmonic. Results High reliability of the pulsation was found near major arteries, tested by Spearman correlation between the first harmonic and a vessel atlas ( p &lt; 0.0001). Consistent with previous literature, older adults exhibited higher harmonic amplitudes with the strongest result in the second harmonic in gray matter with FDR‐corrected q = 0.020. In addition, males had a higher third‐to‐first harmonic ratio. Conclusion Ultrafast fMRI can reliably resolve several harmonics of cardiac pulsations in the brain in and around blood vessels. This may provide a way to characterize vascular health throughout the brain during aging.

Magnetic Resonance in Medicine
Carle Foundation Hospital (US), University of Illinois Urbana-Champaign (US)
Openalex Percentile: Top 5%
Advanced MRI Techniques and Applications
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