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Uncovering the heterogeneity and temporal complexity of neurodegenerative diseases with Subtype and Stage Inference

Authors :
Alexandra L Young
Razvan V Marinescu
Neil P Oxtoby
Martina Bocchetta
Keir Yong
Nicholas C Firth
David M Cash
David L Thomas
Katrina M Dick
Jorge Cardoso
John van Swieten
Barbara Borroni
Daniela Galimberti
Mario Masellis
Maria Carmela Tartaglia
James B Rowe
Caroline Graff
Fabrizio Tagliavini
Giovanni B Frisoni
Robert Laforce
Elizabeth Finger
Alexandre de Mendonça
Sandro Sorbi
Jason D Warren
Sebastian Crutch
Nick C Fox
Sebastien Ourselin
Jonathan M Schott
Jonathan D Rohrer
Daniel C Alexander
The Genetic FTD Initiative (GENFI)
The Alzheimer’s Disease Neuroimaging Initiative (ADNI)
Source :
Nature Communications, Vol 9, Iss 1, Pp 1-16 (2018)
Publication Year :
2018
Publisher :
Nature Portfolio, 2018.

Abstract

Progressive diseases tend to be heterogeneous in their underlying aetiology mechanism, disease manifestation, and disease time course. Here, Young and colleagues devise a computational method to account for both phenotypic heterogeneity and temporal heterogeneity, and demonstrate it using two neurodegenerative disease cohorts.

Subjects

Subjects :
Science

Details

Language :
English
ISSN :
20411723 and 32293844
Volume :
9
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Nature Communications
Publication Type :
Academic Journal
Accession number :
edsdoj.b6d5c8fa064af8b4704e322938446c
Document Type :
article
Full Text :
https://doi.org/10.1038/s41467-018-05892-0