Abstract #1389
Statistical Brain Network Analysis in Female Relapsing Remitting Multiple Sclerosis Patients Using Diffusion Tensor Imaging
AmirHussein Abdolalizadeh 1,2 , Arash Nazeri 2 , Tina Roostaei 2 , Mohammad Ali Sahraian 2 , Shokufeh Sadaghiani 2 , Bahram Mohajer 1 , and Mohammad Hadi Aarabi 1
1
Interdisciplinary Neuroscience Research
Program (INRP), Tehran, Tehran, Iran,
2
Multiple
Sclerosis Research Center (MSRC), Tehran, Iran
Multiple Sclerosis (MS) is an autoimmune disease causing
neuronal injury. Diffusion Weighted Imaging have been
used to investigate different aspects of MS, and
structural connectivity studies have shown alterations
in brain connectivity parameters of MS patients. We used
Network Based Statistics to investigate changes in white
matter structural networks of Relapsing Remitting MS
patients using diffusion tensor imaging and graph
theories. It has been shown that, compared to healthy
controls, MS patients have significantly lower linear
anisotropy, number of tracts, average tract length and
tract volume. Supplementary Motor Areas (Right and Left)
and Right Precuneus were the main regions involved.
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