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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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