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Abstract #3501

Temporal progression patterns of white-matter degeneration in CBS and PSP identified with Subtype & Stage Inference (SuStaIn)

Yuya Saito1, Peter A. Wijeratne2, Koji Kamagata1, Christina Andica1, Wataru Uchida1,3, Toshiaki Akashi1, Akihiko Wada1, Masaaki Hori4, and Shigeki Aoki1
1Department of Radiology, Juntendo University Graduate School of Medicine, Tokyo, Japan, 2Centre for Medical Image Computing, Department of Computer Science, University College London, London, United Kingdom, 3Department of Radiological Sciences, Graduate School of Human Health Sciences, Tokyo Metropolitan University, Tokyo, Japan, 4Department of Radiology, Toho University Omori Medical Center, Tokyo, Japan

Corticobasal syndrome (CBS) and progressive supranuclear palsy (PSP) are classic clinical syndromes derived from 4R tau pathology. Differential clinical diagnosis remains difficult due to neurodegenerative overlap. Most previous studies have assessed white-matter (WM) degeneration using cross-sectional data. This study applied Subtype & Stage Inference (SuStaIn), a novel unsupervised machine-learning technique for regional WM fractional anisotropy based on cross-sectional brain diffusion MRI to identify differences in temporal progression patterns of WM degeneration between CBS and PSP. Results suggested the utility of SuStaIn for identifying temporal WM degeneration patterns in and classifying patients with CBS and PSP.

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