MR perfusion source mapping depicts venous territories and reveals perfusion modulation during neural activation

The cerebral venous system plays a crucial role in neurological and vascular conditions, yet its hemodynamics remain underexplored due to its complexity and variability across individuals. To address this, we develop a venous perfusion source mapping method using Displacement Spectrum MRI, a non-contrast technique that leverages blood water as an endogenous tracer. Our technique encodes spatial information into the magnetization of blood water spins during tagging and detects it once the tagged blood reaches the brain's surface, where the signal-to-noise ratio is 3-4 times higher. We resolve the sources of blood entering the imaging slice across short (10 ms) to long (3 s) evolution times, effectively capturing perfusion sources in reverse. This approach enables the measurement of slow venous blood flow, including potential contributions from capillary beds and surrounding tissue. We demonstrate perfusion source mapping in the superior cerebral veins, verify its sensitivity to global perfusion modulation induced by caffeine, and establish its specificity by showing repeatable local perfusion modulation during neural activation. From all blood within the imaging slice, our method localizes the portion originating from an activated region upstream.

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Publication Details

Journal
Nature Communications
Published
2025-04-24
DOI
https://doi.org/10.1038/s41467-025-59108-3
Citations
3
Primary Topic
Advanced MRI Techniques and Applications
Type
article
Field-Weighted Citation Impact
4.08

Funders

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article

MR perfusion source mapping depicts venous territories and reveals perfusion modulation during neural activation

Julian Maravilla, Jingjia Chen, Ekin Karasan, Michael Lustig et al.
3 citations
Nature Communications
Advanced MRI Techniques and Applications
4.08
article

MR perfusion source mapping depicts venous territories and reveals perfusion modulation during neural activation

Julian Maravilla, Jingjia Chen, Ekin Karasan, Michael Lustig, Zhiyong Zhang, Chunlei Liu
article en
3 citations

Abstract

The cerebral venous system plays a crucial role in neurological and vascular conditions, yet its hemodynamics remain underexplored due to its complexity and variability across individuals. To address this, we develop a venous perfusion source mapping method using Displacement Spectrum MRI, a non-contrast technique that leverages blood water as an endogenous tracer. Our technique encodes spatial information into the magnetization of blood water spins during tagging and detects it once the tagged blood reaches the brain's surface, where the signal-to-noise ratio is 3-4 times higher. We resolve the sources of blood entering the imaging slice across short (10 ms) to long (3 s) evolution times, effectively capturing perfusion sources in reverse. This approach enables the measurement of slow venous blood flow, including potential contributions from capillary beds and surrounding tissue. We demonstrate perfusion source mapping in the superior cerebral veins, verify its sensitivity to global perfusion modulation induced by caffeine, and establish its specificity by showing repeatable local perfusion modulation during neural activation. From all blood within the imaging slice, our method localizes the portion originating from an activated region upstream.

Nature CommunicationsVol. 16(1)
Berkeley College (US), Shanghai Jiao Tong University (CN), Advanced Imaging Research (United States) (US), New York University (US), University of California, Berkeley (US)
National Institutes of Health
Clean water and sanitation
Openalex Percentile: Top 7%
Advanced MRI Techniques and Applications
4.08
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