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Updated: Mar 15, 2026

A Magnetic Resonance Imaging Protocol for Stroke Onset Time Estimation in Permanent Cerebral Ischemia
Published on: September 16, 2017
Functional magnetic resonance imaging in chronic ischaemic stroke
Evelyn M R Lake1, Paolo Bazzigaluppi2, Bojana Stefanovic3
1Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada.
Blood oxygenation level-dependent (BOLD) functional MRI shows promise for tracking chronic stroke progression. Further research is needed to interpret BOLD fMRI data accurately for improved stroke rehabilitation strategies.
Area of Science:
- Neuroscience
- Medical Imaging
- Stroke Research
Background:
- Ischaemic stroke is a major cause of adult disability globally.
- Understanding long-term injury mechanisms is crucial for effective stroke rehabilitation.
- Blood oxygenation level-dependent (BOLD) functional magnetic resonance imaging (fMRI) has potential for non-invasive brain function assessment but faces interpretation challenges in chronic stroke.
Purpose of the Study:
- To review the current applications of BOLD fMRI in chronic ischaemic stroke progression.
- To discuss methods for enhancing information gained from BOLD fMRI measurements.
- To highlight the need for preclinical research to develop quantitative models for BOLD fMRI interpretation in stroke.
Main Methods:
- Review of current literature on BOLD fMRI in chronic stroke.
- Summary of preclinical studies measuring vascular reactivity, neuronal activity, and metabolism.
- Analysis of post-ischaemic evolution in neuronal, glial, and vascular functions.
Main Results:
- BOLD fMRI application in chronic stroke research is currently limited due to complex physiological effects.
- Preclinical models provide insights into neuronal, glial, and vascular changes post-stroke.
- Interpreting BOLD fMRI signals requires understanding the interplay of physiological parameters affected by stroke.
Conclusions:
- Realizing BOLD fMRI's potential in stroke research depends on robust preclinical studies.
- Developing an ischaemia-specific quantitative model of BOLD signal contrast is essential.
- This model will provide a framework for interpreting fMRI findings in clinical stroke populations, aiding treatment development.
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