Exercise modulates brain pulsatility: Insights from q-aMRI and MRI-based flow methods

Motivation: The interaction between cranial fluid flow and brain displacement patterns following exercise has not been studied in an MRI context. Quantification of this relationship is now possible with the novel quantitative amplified MRI (q-aMRI) algorithm. Goal(s): Characterization of intracranial fluid dynamics with low-intensity exercise to measure how these correlate. Approach: Cerebral blood flow (CBF), cerebrospinal fluid (CSF) flow, and brain motion were measured at rest and during handgrip exercise to assess relative changes. Results: During exercise, CBF was less pulsatile, CSF flow increased and did not regurgitate, and brain motion reduced. q-aMRI brain motion patterns mimicked CSF flow patterns. Impact: This study demonstrates exercise has a physiological effect on fluid flow and brain displacement. It highlights q-aMRI's potential diagnostic applications, as intracranical dynamics coupling could serve as a potential biomarker of abnormality, especially in intracranial pressure and fluid-related disorders.

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/10.58530/2025/1693
Primary Topic
Advanced Neuroimaging Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

Exercise modulates brain pulsatility: Insights from q-aMRI and MRI-based flow methods

Vickie Shim, Samantha J. Holdsworth, Gonzalo D. Maso Talou, Josh McGeown 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
Advanced Neuroimaging Techniques and Applications
article

Exercise modulates brain pulsatility: Insights from q-aMRI and MRI-based flow methods

Vickie Shim, Samantha J. Holdsworth, Gonzalo D. Maso Talou, Josh McGeown, Miriam Scadeng, Itamar Terem, Paul Condron, Emma Clarkson, Sarah‐Jane Guild, Ed Maunder, Eryn Kwon, David J. Dubowitz, John Wright, Alireza Sharifzadeh-Kermani
article en

Abstract

Motivation: The interaction between cranial fluid flow and brain displacement patterns following exercise has not been studied in an MRI context. Quantification of this relationship is now possible with the novel quantitative amplified MRI (q-aMRI) algorithm. Goal(s): Characterization of intracranial fluid dynamics with low-intensity exercise to measure how these correlate. Approach: Cerebral blood flow (CBF), cerebrospinal fluid (CSF) flow, and brain motion were measured at rest and during handgrip exercise to assess relative changes. Results: During exercise, CBF was less pulsatile, CSF flow increased and did not regurgitate, and brain motion reduced. q-aMRI brain motion patterns mimicked CSF flow patterns. Impact: This study demonstrates exercise has a physiological effect on fluid flow and brain displacement. It highlights q-aMRI's potential diagnostic applications, as intracranical dynamics coupling could serve as a potential biomarker of abnormality, especially in intracranial pressure and fluid-related disorders.

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 65%
Advanced Neuroimaging Techniques and Applications
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Exercise modulates brain pulsatility: Insights from q-aMRI and MRI-based flow methods — Vickie Shim, Samantha J. Holdsworth, 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 (2025) | TGRS Research Map | TGRS