Related Experiment Video
Updated: May 18, 2026

Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases
Published on: July 28, 2013
Diffusion tensor imaging based network analysis detects alterations of neuroconnectivity in patients with clinically
Yang Li1, Valerie Jewells, Minjeong Kim
1Biomedical Research Imaging Center (BRIC), Department of Radiology, University of North Carolina at Chapel Hill, North Carolina.
Abstract:
Although it is inarguable that conventional MRI (cMRI) has greatly contributed to the diagnosis and assessment of multiple sclerosis (MS), cMRI does not show close correlation with clinical findings or pathologic features, and is unable to predict prognosis or stratify disease severity. To this end, diffusion tensor imaging (DTI) with tractography and neuroconnectivity analysis may assist disease assessment in MS. We, therefore, attempted this pilot study for initial assessment of early relapsing-remitting MS (RRMS). Neuroconnectivity analysis was used for evaluation of 24 early RRMS patients within 2 years of presentation, and compared to the network measures of a group of 30 age-and-gender-matched normal control subjects. To account for the situation that the connections between two adjacent regions may be disrupted by an MS lesion, a new metric, network communicability, was adopted to measure both direct and indirect connections. For each anatomical area, the brain network communicability and average path length were computed and compared to characterize the network changes in efficiencies. Statistically significant (P < 0.05) loss of communicability was revealed in our RRMS cohort, particularly in the frontal and hippocampal/parahippocampal regions as well as the motor strip and occipital lobes. Correlation with the 25-foot Walk test with communicability measures in the left superior frontal (r = -0.71) as well as the left superior temporal gyrus (r = -0.43) and left postcentral gyrus (r = -0.41) were identified. Additionally identified were increased communicability between the deep gray matter structures (left thalamus and putamen) with the major interhemispheric and intrahemispheric white matter tracts, the corpus callosum, and cingulum, respectively. These foci of increased communicability are thought to represent compensatory changes. The proposed DTI-based neuroconnectivity analysis demonstrated quantifiable, structurally relevant alterations of fiber tract connections in early RRMS and paves the way for longitudinal studies in larger patient groups.
Insights
Diffusion tensor imaging (DTI) reveals significant brain network changes in early multiple sclerosis (MS) patients. This neuroconnectivity analysis offers a new way to assess disease severity and track progression in relapsing-remitting MS (RRMS).
Area of Science:
- Neuroimaging
- Neurology
- Biomedical Engineering
Background:
- Conventional MRI (cMRI) has limitations in correlating with clinical findings, prognosis, and disease severity in multiple sclerosis (MS).
- Diffusion tensor imaging (DTI) with neuroconnectivity analysis shows promise for improved MS assessment.
- Early relapsing-remitting MS (RRMS) requires advanced imaging techniques for accurate evaluation.
Purpose of the Study:
- To pilot the use of DTI-based neuroconnectivity analysis for assessing early RRMS.
- To evaluate network communicability and average path length in RRMS patients compared to controls.
- To identify correlations between neuroconnectivity measures and clinical assessments.
Main Methods:
- Neuroconnectivity analysis was performed on 24 early RRMS patients and 30 healthy controls.
- Network communicability, measuring direct and indirect connections, was adopted to account for MS lesions.
- Brain network communicability and average path length were computed for anatomical areas.
Main Results:
- Statistically significant loss of communicability was observed in RRMS patients, particularly in frontal, hippocampal/parahippocampal, motor strip, and occipital regions.
- Correlations were found between communicability measures and the 25-foot Walk test in specific brain regions.
- Increased communicability was noted between deep gray matter structures and white matter tracts, suggesting compensatory changes.
Conclusions:
- DTI-based neuroconnectivity analysis demonstrates quantifiable, structurally relevant alterations in early RRMS.
- This method provides a promising approach for assessing disease severity and potentially predicting prognosis.
- Further longitudinal studies with larger cohorts are warranted to validate these findings.
Related Concept Videos
Brain Imaging
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans), magnetic resonance imaging (MRI), functional magnetic resonance imaging (fMRI), and Transcranial Magnetic Stimulation (TMS).
Multiple Sclerosis l: Introduction
Assessment of Diffusion and Perfusion
The Role of Diffusion in Respiration
Diffusion is the process by which molecules move from an area of higher concentration to an area of lower concentration. In the respiratory system, this principle...

