Related Experiment Video
Updated: Apr 21, 2026
Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases
Published on: July 28, 2013
Differences in early and late mild cognitive impairment tractography using a diffusion tensor MRI
Seung-Hak Lee1, Jongbum Seo, Jong-min Lee
1aSchool of Electronic Electrical Engineering, Sungkyunkwan University, Suwon bDepartment of Biomedical Engineering, Yonsei University cDepartment of Biomedical Engineering, Hanyang University, Seoul, Korea.
Abstract:
Diffusion tensor MRI tractography is an imaging tool that can provide information of in-vivo neuronal fiber tracts to assess progress for Alzheimer's disease (AD). In an effort to detect early AD progression, we focused on distinguishing subgroups within mild cognitive impairment (MCI): early MCI and late MCI. Tractography was applied not only to white matter regions but also neighboring gray matter regions known to be affected by AD. Nerve fibers touching the hippocampus, thalamus, and amygdala in both hemispheres were extracted to quantify limbic system fiber connectivity. Two fiber extraction algorithms, fiber assignment by continuous tracking and the Runge Kutta approach, were applied to an AD imaging database. We computed the number of fibers touching regions of interest as the imaging feature. The imaging feature could distinguish between the MCI subgroups. It was also significantly correlated with a known genetic marker for AD, the apolipoprotein E epsilon 4 allele. The number of fibers might be a useful imaging biomarker to complement conventional region of interest-based biomarkers for AD research.
Insights
Diffusion tensor MRI tractography can distinguish early and late mild cognitive impairment (MCI) by analyzing limbic system fiber connectivity. This imaging biomarker shows promise for early Alzheimer's disease (AD) detection.
Area of Science:
- Neuroimaging
- Neurology
- Biomarkers
Background:
- Alzheimer's disease (AD) progression is challenging to detect in its early stages.
- Mild cognitive impairment (MCI) represents a transitional phase, with subgroups like early MCI and late MCI requiring differentiation.
- Current diagnostic tools may benefit from advanced imaging biomarkers for earlier and more precise assessment.
Purpose of the Study:
- To investigate the utility of diffusion tensor MRI tractography in differentiating early and late MCI subgroups.
- To explore the potential of limbic system fiber connectivity as an imaging biomarker for early AD progression.
- To assess the correlation between this imaging feature and the apolipoprotein E epsilon 4 allele.
Main Methods:
- Diffusion tensor MRI tractography was applied to white and gray matter regions in an AD imaging database.
- Nerve fibers connecting to the hippocampus, thalamus, and amygdala were extracted using two algorithms: fiber assignment by continuous tracking and Runge Kutta.
- The number of fibers touching these regions of interest was quantified as the primary imaging feature.
Main Results:
- The quantified number of fibers successfully distinguished between early MCI and late MCI subgroups.
- This imaging feature demonstrated a significant correlation with the apolipoprotein E epsilon 4 allele, a known AD genetic marker.
- Tractography analysis extended beyond white matter to include AD-affected gray matter regions.
Conclusions:
- Diffusion tensor MRI tractography, specifically analyzing limbic system fiber connectivity, can differentiate MCI subgroups.
- The number of fibers touching key brain regions may serve as a valuable imaging biomarker for early AD detection.
- This approach could complement existing region of interest-based biomarkers in AD research and clinical practice.
