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 Uchida^1,3, 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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