DTI Measurements for Huntington Disease Using Mricloud

Year 2024, Volume: 6 Issue: 2, 302 - 311, 16.05.2024

Ayla Arslan , Mehtap Nisari , Emel Güler , Gökçe Bağcı Uzun , Murat Gültekin , Halil Dönmez , Keziban Bağcı , Niyazi Acer

https://doi.org/10.37990/medr.1421420

Abstract

Aim: Neurodegenerative diseases are important health problems that affect many people. In this study, it was aimed to examine the brain regions of Huntington's patients by performing brain parcellation.
Material and Method: 8 controls and 8 Huntington's patients participated in the study. We measured four Diffusion Tensor Imaging metrics which were axial diffusivity, mean diffusivity, radial diffusivity and fractional anisotropy performing brain parcellation over Diffusion Tensor Imaging for control and patient groups. We used a full automated data-driven approach to study the whole brain, divided in regions of interest using mricloud.
Results: When the huntington disease group compared to control group, We found that mean diffusivity and axial diffusivity increased frontal, parietal, temporal, occipital, corpus callosum, white matter, limbic and subcortical structures, and radial diffusivity increased corpus callosum, capsula interna (p<0.05). The fractional anisotropy value was higher in nucleus caudatus, putamen and a significant difference was observed (p<0.05).
Conclusion: The increase of axial diffusivity and mean diffusivity values axonal degeneration and demyelination of frontal, parietal, temporal, occipital, corpus callosum, white matter, limbic, subcortical structures; increased radial diffusivity values dysmyelination of the corpus callosum and capsula interna; fractional anisotropy increased values in nucleus caudatus and putamen may indicate a degenerative process, axon loss and inflammation.

Keywords

Huntington disease , neurodegenerative disease , brain , magnetic resonance imaging

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