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

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 neurod...

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Autores principales:	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)
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2018
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/edb6d5c8fa064af8b4704e322938446c
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spelling	oai:doaj.org-article:edb6d5c8fa064af8b4704e322938446c2021-12-02T16:49:48ZUncovering the heterogeneity and temporal complexity of neurodegenerative diseases with Subtype and Stage Inference10.1038/s41467-018-05892-02041-1723https://doaj.org/article/edb6d5c8fa064af8b4704e322938446c2018-10-01T00:00:00Zhttps://doi.org/10.1038/s41467-018-05892-0https://doaj.org/toc/2041-1723Progressive 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.Alexandra L YoungRazvan V MarinescuNeil P OxtobyMartina BocchettaKeir YongNicholas C FirthDavid M CashDavid L ThomasKatrina M DickJorge CardosoJohn van SwietenBarbara BorroniDaniela GalimbertiMario MasellisMaria Carmela TartagliaJames B RoweCaroline GraffFabrizio TagliaviniGiovanni B FrisoniRobert LaforceElizabeth FingerAlexandre de MendonçaSandro SorbiJason D WarrenSebastian CrutchNick C FoxSebastien OurselinJonathan M SchottJonathan D RohrerDaniel C AlexanderThe Genetic FTD Initiative (GENFI)The Alzheimer’s Disease Neuroimaging Initiative (ADNI)Nature PortfolioarticleScienceQENNature Communications, Vol 9, Iss 1, Pp 1-16 (2018)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q 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) Uncovering the heterogeneity and temporal complexity of neurodegenerative diseases with Subtype and Stage Inference
description	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.
format	article
author	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)
author_facet	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)
author_sort	Alexandra L Young
title	Uncovering the heterogeneity and temporal complexity of neurodegenerative diseases with Subtype and Stage Inference
title_short	Uncovering the heterogeneity and temporal complexity of neurodegenerative diseases with Subtype and Stage Inference
title_full	Uncovering the heterogeneity and temporal complexity of neurodegenerative diseases with Subtype and Stage Inference
title_fullStr	Uncovering the heterogeneity and temporal complexity of neurodegenerative diseases with Subtype and Stage Inference
title_full_unstemmed	Uncovering the heterogeneity and temporal complexity of neurodegenerative diseases with Subtype and Stage Inference
title_sort	uncovering the heterogeneity and temporal complexity of neurodegenerative diseases with subtype and stage inference
publisher	Nature Portfolio
publishDate	2018
url	https://doaj.org/article/edb6d5c8fa064af8b4704e322938446c
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Uncovering the heterogeneity and temporal complexity of neurodegenerative diseases with Subtype and Stage Inference

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