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Abstract #4296

Serial Measurements of Structural Connectivity and Diffusion-Tensor Metrics in Parkinson's Disease

Andre Ticlo 1 , Sofia Reimo 2 , Hugo Alexandre Ferreira 1 , Joo Marcos Sousa 1 , Daisy Abreu 3 , Joaquim Ferreira 3 , Jorge Campos 2 , and Rita Gouveia Nunes 1

1 Instituto de Biofisica e Engenharia Biomedica, Faculdade de Ciencias, Universidade de Lisboa, Lisbon, Portugal, 2 Neurological Imaging Department of Hospital Santa Maria, Centro Hospitalar Lisboa Norte, Lisbon, Portugal, 3 Clinical Pharmacology Unit, Instituto de Medicina Molecular, Lisbon, Portugal

Fractional Anisotropy (FA) and Mean Diffusivity (MD) have been shown to be affected in Parkinsons Disease (PD) but no prior studies have investigated how these metrics change over time. Recently, there has also been much interest in applying graph theory to characterize brain connectivity. We imaged a group of PD patients and a control group over a period of 1 year. Changes in FA, MD and connectivity metrics were investigated after evaluating the reproducibility of the methodology. FA, MD and global efficiency were shown to be promising biomarkers to evaluate structural changes with disease progression in PD patients.

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