DTI Measurements for Huntington Disease Using Mricloud

Author:

Arslan Ayla1ORCID,Nisari Mehtap2ORCID,Güler Emel3ORCID,Bağcı Uzun Gökçe4ORCID,Gültekin Murat2ORCID,Dönmez Halil2ORCID,Bağcı Keziban5ORCID,Acer Niyazi6ORCID

Affiliation:

1. AĞRI İBRAHİM ÇEÇEN ÜNİVERSİTESİ, TIP FAKÜLTESİ

2. ERCİYES ÜNİVERSİTESİ, TIP FAKÜLTESİ

3. CUMHURİYET ÜNİVERSİTESİ, TIP FAKÜLTESİ

4. MALATYA TURGUT ÖZAL ÜNİVERSİTESİ, TIP FAKÜLTESİ

5. NİĞDE ÜNİVERSİTESİ, NİĞDE ZÜBEYDE HANIM SAĞLIK HİZMETLERİ MESLEK YÜKSEKOKULU, TIBBİ HİZMETLER VE TEKNİKLER BÖLÜMÜ

6. İSTANBUL AREL ÜNİVERSİTESİ, TIP FAKÜLTESİ

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

Publisher

Medical Records - International Medical Journal

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