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Updated: Aug 7, 2025
Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases
Published on: July 28, 2013
R1ρ dispersion in white matter correlates with quantitative metrics of cognitive impairment
Fatemeh Adelnia1, Larry T Davis2, Lealani Mae Acosta3
1Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, USA.
Abstract:
Much previous neuroimaging research in Alzheimer's disease has focused on the roles of amyloid and tau proteins, but recent studies have implicated microvascular changes in white matter as early indicators of damage related to later dementia. We used MRI to derive novel, non-invasive measurements of R1ρ dispersion using different locking fields to characterize variations of microvascular structure and integrity in brain tissues. We developed a non-invasive 3D R1ρ dispersion imaging technique using different locking fields at 3T. We acquired MR images and cognitive assessments of participants with mild cognitive impairment (MCI) and compared them to age-matched healthy controls in a cross-sectional study. After providing informed consent, 40 adults aged 62 to 82 years (n = 17 MCI) were included in this study. White matter ΔR1ρ-fraction measured by R1ρ dispersion imaging showed a strong correlation with the cognitive status of older adults (βstd = -0.4, p-value < 0.01) independent of age, in contrast to other conventional MRI markers such as T2, R1ρ, and white matter hyperintense lesion volume (WMHs) measured with T2-FLAIR. The correlation of WMHs with cognitive status was no longer significant after adjusting for age and sex in linear regression analysis, and the size of the regression coefficient was substantially decreased (53% lower). This work establishes a new non-invasive method that potentially characterizes impairment of the microvascular structure of white matter in MCI patients compared to healthy controls. The application of this method in longitudinal studies would improve our fundamental understanding of the pathophysiologic changes that accompany abnormal cognitive decline with aging and help identify potential targets for treatment of Alzheimer's disease.
Insights
A new MRI technique measuring white matter microvascular changes shows strong correlation with cognitive status in older adults, outperforming traditional markers for early Alzheimer's disease detection.
Area of Science:
- Neuroimaging
- Vascular Biology
- Gerontology
Background:
- Alzheimer's disease (AD) research traditionally focuses on amyloid and tau proteins.
- Emerging evidence highlights the role of white matter microvascular changes in early dementia development.
- Microvascular integrity is increasingly recognized as crucial for cognitive health in aging.
Purpose of the Study:
- To develop and validate a novel, non-invasive MRI technique for characterizing white matter microvascular structure and integrity.
- To assess the correlation between novel MRI-derived measurements and cognitive status in individuals with mild cognitive impairment (MCI) and healthy controls.
- To compare the efficacy of the new technique against conventional MRI markers in predicting cognitive status.
Main Methods:
- Developed a non-invasive 3D R1ρ dispersion imaging technique using varying locking fields at 3 Tesla.
- Acquired MRI scans and cognitive assessments from 40 participants (17 MCI, 23 healthy controls), aged 62-82 years.
- Utilized R1ρ dispersion imaging to measure white matter ΔR1ρ-fraction and compared it with T2, R1ρ, and white matter hyperintense lesion volume (WMHs).
Main Results:
- White matter ΔR1ρ-fraction demonstrated a significant correlation with cognitive status (βstd = -0.4, p < 0.01), independent of age.
- Conventional MRI markers, including WMHs, showed weaker or non-significant correlations with cognitive status after adjusting for age and sex.
- The novel R1ρ dispersion imaging technique effectively differentiated microvascular changes potentially associated with MCI.
Conclusions:
- Established a novel, non-invasive MRI method to characterize white matter microvascular impairment in MCI.
- The R1ρ dispersion imaging technique shows promise as an early indicator of cognitive decline related to aging and AD.
- Further longitudinal studies using this method could enhance understanding of AD pathophysiology and identify therapeutic targets.
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