Longitudinal, regional and deformation-specific corpus callosum shape analysis for multiple sclerosis

Area of Science:

• Neuroimaging
• Medical Statistics
• Anatomy

Background:

• The corpus callosum (CC) connects brain hemispheres and its atrophy is linked to neurological diseases.
• Analyzing CC shape changes is crucial for understanding disease progression, particularly in multiple sclerosis (MS).

Purpose of the Study:

• To develop and validate a deformation-specific principal component analysis (PCA) for analyzing CC shape variability.
• To quantify and visualize global and regional shape changes in the CC due to MS.
• To explore the progression of CC shape alterations over time in MS patients.

Main Methods:

• Statistical shape analysis using a medial-based representation of the CC.
• Deformation-specific principal component analysis (PCA) applied to 412 MR brain scans from MS patients.
• Quantitative and qualitative analysis of shape variability, including bending, stretching, and thickness changes.

Main Results:

• The deformation-specific PCA successfully identified and quantified specific deformation effects on CC shape variability.
• The method allowed for both quantitative assessment (variance explained) and qualitative visualization of shape changes.
• Spatial and temporal (longitudinal) shape variations in the CC related to MS progression were explored.

Conclusions:

• The developed method provides an intuitive and quantitative approach to understanding the impact of MS on CC morphology.
• This technique enhances the understanding of disease-related anatomical changes in the brain.
• The findings support the use of advanced statistical shape analysis in clinical research for neurological disorders.