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原文連結
論文資訊
- 類型：已發表論文
- 日期：2020-08-03
摘要
Post-mortem histopathological data can be used to classify neuropathologies into six transdiagnostic clusters, and patient membership to these clusters can be predicted from 認知 scores, genotype and 蛋白質 levels in cerebrospinal fluid. The prevalence of concomitant 蛋白質opathies and heterogeneous clinical symptoms in neurodegenerative 疾病s hinders the identification of individuals who might be candidates for a particular intervention. Here, by applying an unsupervised clustering algorithm to post-mortem histopathological data from 895 patients with degeneration in the central nervous system, we show that six non-overlapping 疾病 clusters can simultaneously account for tau neurofibrillary tangles, alpha-synuclein inclusions, neuritic plaques, inclusions of the transcriptional repressor TDP-43, angi
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