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Abstract #2588

Linked alterations in microstructural morphology of white matter in patients with Parkinson’s disease: A multimodal magnetic resonance imaging study

Koji Kamagata1,2, Kouhei Kamiya3, Yuya Saito4, Taku Hatano5, Christina Andica1, Tomoko Maekawa1,3, Shohei Fujita1,3, Asami Saito6, Takashi Ogawa5, Genko Oyama5, Haruka Takeshige-Amano5, Yasushi Shimo5, Akifumi Hagiwara1,3, Masaaki Hori1, Nobutaka Hattori5, and Shigeki Aoki1

1Department of Radiology, Juntendo University Graduate School of Medicine, Tokyo, Japan, 2Department of Psychiatry, Melbourne Neuropsychiatry Centre, The University of Melbourne & Melbourne Health, Parkville, Australia, 3Department of Radiology, the University of Tokyo, Tokyo, Japan, 4Department of Radiological Sciences, Tokyo Metropolitan University Graduate School of Human Health Sciences, Tokyo, Japan, 5Department of Neurology, Juntendo University Graduate School of Medicine, Tokyo, Japan, 6Juntendo University Graduate School of Medicine, Tokyo, Japan

To identify relationships between Parkinson’s disease (PD) severity and microstructural changes in white matter (WM), we applied a multimodal data-fusion method known as linked independent component analysis (LICA) to a set of diffusion magnetic resonance (MR) and myelin-sensitive imaging data. LICA explained data variance with high sensitivity to PD severity, revealing widespread coordinated decreases in intracellular volume fraction, fractional anisotropy, and myelin volume fraction with increases in radial diffusivity. Our results show coordinated microstructural alterations in WM with disease severity and PD progression.

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