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Intracranial gradient-echo and spin-echo functional MR angiography in humans
V Belle1, C Delon-Martin, R Massarelli
1INSERM U.318/Groupe d'Application de la RMN à la Neurobiologie, Universitaire de Grenoble, France.
Radiology
|June 1, 1995
Summary
Venous signal intensity significantly influences gradient-echo (GRE) blood oxygenation level-dependent (BOLD) functional magnetic resonance (fMRI) imaging during motor tasks. This study highlights the substantial role of veins in fMRI signal generation.
Area of Science:
- Neuroimaging
- Functional Magnetic Resonance Imaging (fMRI)
- Vascular Physiology
Background:
- Blood oxygenation level-dependent (BOLD) contrast is a cornerstone of functional magnetic resonance imaging (fMRI).
- Gradient-echo (GRE) echo-planar imaging (EPI) is commonly used for BOLD fMRI.
- The precise origin of the BOLD signal, particularly the contribution of venous vasculature, remains an area of active investigation.
Purpose of the Study:
- To investigate the predominance of venous signal intensity in 1.5-T GRE fMRI of motor activity.
- To demonstrate the contribution of task-induced changes in venous flow velocity to the fMRI signal.
Main Methods:
- Healthy volunteers underwent fMRI of motor activity using conventional 2D GRE BOLD techniques.
- Image planes were positioned to specifically target responding veins.
- A second examination utilized 2D spin-echo (SE) techniques with axial orientation for comparison.
- Maximum intensity projection was used for processing hyperintense areas.
Main Results:
- Functional MR angiograms were successfully acquired using both GRE and SE techniques.
- The generation of SE functional MR angiograms confirmed the contribution of venous inflow effects.
- These findings indicate substantial venous contribution to signal intensity in conventional GRE BOLD fMRI.
Conclusions:
- Veins play a substantial role in the BOLD signal detected during fMRI of motor activity.
- Understanding venous contributions is crucial for accurate interpretation of fMRI data.
- Task-induced changes in venous flow velocity significantly impact fMRI signal intensity.