Article

Defining and predicting transdiagnostic categories of neurodegenerative disease

2019-06-10

Abstract excerpt

In current models of neurodegeneration, individual diseases are defined by the presence of one or two pathogenic protein species. Yet, it is the rule rather than the exception that a patient meets criteria for more than one disease. This fact often remains hidden until autopsy, when neuropathological evaluation can assign disease labels based on gold-standard criteria. Ultimately, the prevalence of concomitant dia...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: ccdcfc06-404f-5542-8559-e21a182b98e2
DOI: 10.1101/664250

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Defining and predicting transdiagnostic categories of neurodegenerative diseaseDOI 10.1101/664250Read

Defining and predicting transdiagnostic categories of neurodegenerative disease.Semantic proximity Read

Clustering of Alzheimer's and Parkinson's disease based on genetic burden of shared molecular mechanisms.Semantic proximity Read

Genetic risk factor clustering within and across neurodegenerative diseasesSemantic proximity Read

Genetic risk factor clustering within and across neurodegenerative diseasesSemantic proximity Read

Robustly uncovering the heterogeneity of neurodegenerative disease by using data-driven subtyping in neuroimaging: A reviewSemantic proximity Read

Predicting Autopsy-Confirmed Neuropathology across Clinical, Neuroimaging, and CSF Biomarkers using Machine LearningSemantic proximity Read

Subtyping Alzheimer's disease and Parkinson's disease using longitudinal electronic health records.Semantic proximity Read

NeuroFate: endpoint-locked transcriptomic axis scoring for neurodegeneration risk researchSemantic proximity Read

Pathophysiological subtypes of Alzheimer’s disease based on cerebrospinal fluid proteomicsSemantic proximity Read

Pathophysiological subtypes of Alzheimer’s disease based on cerebrospinal fluid proteomicsSemantic proximity Read

Machine Learning-Based Multiclass Classification of Cognitive Stages Using Plasma Biomarkers, Clinical Assessments, and Genetic Features: A Repeated Nested Cross-Validation Study in ADNI with External Validation in CNTNSemantic proximity Read

Biomarker-guided clustering of Alzheimer's disease clinical syndromesSemantic proximity Read