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Updated: Jan 6, 2026

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging
Published on: November 8, 2012
Effect of intravoxel incoherent motion on diffusion parameters in normal brain
Casey Vieni1, Benjamin Ades-Aron2, Bettina Conti3
1Center for Biomedical Imaging, Department of Radiology, New York University School of Medicine, New York, NY, USA; Medical Scientist Training Program, New York University School of Medicine, New York, NY, USA.
Intravoxel incoherent motion (IVIM) significantly impacts brain diffusion MRI signals, particularly in gray matter. This study quantifies the IVIM effect and its age-related changes in normal brain tissues.
Area of Science:
- Neuroimaging
- Biophysics
- Medical Physics
Background:
- Diffusion MRI is sensitive to intravoxel incoherent motion (IVIM) from microcirculation.
- IVIM's impact on normal brain tissue diffusion MRI signals is not fully understood.
- Previous studies focused on IVIM in tumors and body perfusion.
Purpose of the Study:
- To investigate and quantify the IVIM effect on diffusion MRI signals in normal brain tissue.
- To assess the IVIM signal fraction (f*) in different brain regions.
- To explore the relationship between IVIM and demographic factors like age and gender.
Main Methods:
- Diffusion MRI data acquired from 137 healthy adult patients.
- Comparison of diffusion tensor parameters using mono-exponential fits at different b-values (0/1000 vs. 250/1000 s/mm²).
- Quantitative assessment of IVIM signal fraction (f*) using an asymptotic fitting method.
Main Results:
- Significant IVIM effect observed, with higher impact in cortical gray matter (7.8%) than white matter (4.5%) or thalamus (4.3%).
- Perfusion fraction (f*) estimated as 0.033 in WM, 0.066 in cortical GM, and 0.033 in thalamus.
- f* significantly increased with age in cortical GM and thalamus, but not in WM; no gender effect on f* was found.
Conclusions:
- IVIM is a measurable phenomenon in normal brain tissue, affecting diffusion MRI quantification.
- The perfusion fraction (f*) varies across brain regions and increases with age in GM and thalamus.
- These findings are crucial for accurate diffusion MRI analysis and understanding brain physiology.
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