Abstract #2588

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

Koji Kamagata^1,2, Kouhei Kamiya³, Yuya Saito⁴, Taku Hatano⁵, Christina Andica¹, Tomoko Maekawa^1,3, Shohei Fujita^1,3, Asami Saito⁶, Takashi Ogawa⁵, Genko Oyama⁵, Haruka Takeshige-Amano⁵, Yasushi Shimo⁵, Akifumi Hagiwara^1,3, 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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