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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