A deep learning framework identifies dimensional representations of Alzheimer’s Disease from brain structure

Alzheimer’s disease is heterogeneous in its neuroimaging and clinical phenotypes. Here the authors present a semi-supervised deep learning method, Smile-GAN, to show four neurodegenerative patterns and two progression pathways providing prognostic and clinical information.

Guardado en:

Detalles Bibliográficos
Autores principales:	Zhijian Yang, Ilya M. Nasrallah, Haochang Shou, Junhao Wen, Jimit Doshi, Mohamad Habes, Guray Erus, Ahmed Abdulkadir, Susan M. Resnick, Marilyn S. Albert, Paul Maruff, Jurgen Fripp, John C. Morris, David A. Wolk, Christos Davatzikos, iSTAGING Consortium, Baltimore Longitudinal Study of Aging (BLSA), Alzheimer’s Disease Neuroimaging Initiative (ADNI)
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/bc622eef4986462d950294c8155877a6
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:bc622eef4986462d950294c8155877a6
record_format	dspace
spelling	oai:doaj.org-article:bc622eef4986462d950294c8155877a62021-12-05T12:23:11ZA deep learning framework identifies dimensional representations of Alzheimer’s Disease from brain structure10.1038/s41467-021-26703-z2041-1723https://doaj.org/article/bc622eef4986462d950294c8155877a62021-12-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-26703-zhttps://doaj.org/toc/2041-1723Alzheimer’s disease is heterogeneous in its neuroimaging and clinical phenotypes. Here the authors present a semi-supervised deep learning method, Smile-GAN, to show four neurodegenerative patterns and two progression pathways providing prognostic and clinical information.Zhijian YangIlya M. NasrallahHaochang ShouJunhao WenJimit DoshiMohamad HabesGuray ErusAhmed AbdulkadirSusan M. ResnickMarilyn S. AlbertPaul MaruffJurgen FrippJohn C. MorrisDavid A. WolkChristos DavatzikosiSTAGING ConsortiumBaltimore Longitudinal Study of Aging (BLSA)Alzheimer’s Disease Neuroimaging Initiative (ADNI)Nature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-15 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Zhijian Yang Ilya M. Nasrallah Haochang Shou Junhao Wen Jimit Doshi Mohamad Habes Guray Erus Ahmed Abdulkadir Susan M. Resnick Marilyn S. Albert Paul Maruff Jurgen Fripp John C. Morris David A. Wolk Christos Davatzikos iSTAGING Consortium Baltimore Longitudinal Study of Aging (BLSA) Alzheimer’s Disease Neuroimaging Initiative (ADNI) A deep learning framework identifies dimensional representations of Alzheimer’s Disease from brain structure
description	Alzheimer’s disease is heterogeneous in its neuroimaging and clinical phenotypes. Here the authors present a semi-supervised deep learning method, Smile-GAN, to show four neurodegenerative patterns and two progression pathways providing prognostic and clinical information.
format	article
author	Zhijian Yang Ilya M. Nasrallah Haochang Shou Junhao Wen Jimit Doshi Mohamad Habes Guray Erus Ahmed Abdulkadir Susan M. Resnick Marilyn S. Albert Paul Maruff Jurgen Fripp John C. Morris David A. Wolk Christos Davatzikos iSTAGING Consortium Baltimore Longitudinal Study of Aging (BLSA) Alzheimer’s Disease Neuroimaging Initiative (ADNI)
author_facet	Zhijian Yang Ilya M. Nasrallah Haochang Shou Junhao Wen Jimit Doshi Mohamad Habes Guray Erus Ahmed Abdulkadir Susan M. Resnick Marilyn S. Albert Paul Maruff Jurgen Fripp John C. Morris David A. Wolk Christos Davatzikos iSTAGING Consortium Baltimore Longitudinal Study of Aging (BLSA) Alzheimer’s Disease Neuroimaging Initiative (ADNI)
author_sort	Zhijian Yang
title	A deep learning framework identifies dimensional representations of Alzheimer’s Disease from brain structure
title_short	A deep learning framework identifies dimensional representations of Alzheimer’s Disease from brain structure
title_full	A deep learning framework identifies dimensional representations of Alzheimer’s Disease from brain structure
title_fullStr	A deep learning framework identifies dimensional representations of Alzheimer’s Disease from brain structure
title_full_unstemmed	A deep learning framework identifies dimensional representations of Alzheimer’s Disease from brain structure
title_sort	deep learning framework identifies dimensional representations of alzheimer’s disease from brain structure
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/bc622eef4986462d950294c8155877a6
work_keys_str_mv	AT zhijianyang adeeplearningframeworkidentifiesdimensionalrepresentationsofalzheimersdiseasefrombrainstructure AT ilyamnasrallah adeeplearningframeworkidentifiesdimensionalrepresentationsofalzheimersdiseasefrombrainstructure AT haochangshou adeeplearningframeworkidentifiesdimensionalrepresentationsofalzheimersdiseasefrombrainstructure AT junhaowen adeeplearningframeworkidentifiesdimensionalrepresentationsofalzheimersdiseasefrombrainstructure AT jimitdoshi adeeplearningframeworkidentifiesdimensionalrepresentationsofalzheimersdiseasefrombrainstructure AT mohamadhabes adeeplearningframeworkidentifiesdimensionalrepresentationsofalzheimersdiseasefrombrainstructure AT gurayerus adeeplearningframeworkidentifiesdimensionalrepresentationsofalzheimersdiseasefrombrainstructure AT ahmedabdulkadir adeeplearningframeworkidentifiesdimensionalrepresentationsofalzheimersdiseasefrombrainstructure AT susanmresnick adeeplearningframeworkidentifiesdimensionalrepresentationsofalzheimersdiseasefrombrainstructure AT marilynsalbert adeeplearningframeworkidentifiesdimensionalrepresentationsofalzheimersdiseasefrombrainstructure AT paulmaruff adeeplearningframeworkidentifiesdimensionalrepresentationsofalzheimersdiseasefrombrainstructure AT jurgenfripp adeeplearningframeworkidentifiesdimensionalrepresentationsofalzheimersdiseasefrombrainstructure AT johncmorris adeeplearningframeworkidentifiesdimensionalrepresentationsofalzheimersdiseasefrombrainstructure AT davidawolk adeeplearningframeworkidentifiesdimensionalrepresentationsofalzheimersdiseasefrombrainstructure AT christosdavatzikos adeeplearningframeworkidentifiesdimensionalrepresentationsofalzheimersdiseasefrombrainstructure AT istagingconsortium adeeplearningframeworkidentifiesdimensionalrepresentationsofalzheimersdiseasefrombrainstructure AT baltimorelongitudinalstudyofagingblsa adeeplearningframeworkidentifiesdimensionalrepresentationsofalzheimersdiseasefrombrainstructure AT alzheimersdiseaseneuroimaginginitiativeadni adeeplearningframeworkidentifiesdimensionalrepresentationsofalzheimersdiseasefrombrainstructure AT zhijianyang deeplearningframeworkidentifiesdimensionalrepresentationsofalzheimersdiseasefrombrainstructure AT ilyamnasrallah deeplearningframeworkidentifiesdimensionalrepresentationsofalzheimersdiseasefrombrainstructure AT haochangshou deeplearningframeworkidentifiesdimensionalrepresentationsofalzheimersdiseasefrombrainstructure AT junhaowen deeplearningframeworkidentifiesdimensionalrepresentationsofalzheimersdiseasefrombrainstructure AT jimitdoshi deeplearningframeworkidentifiesdimensionalrepresentationsofalzheimersdiseasefrombrainstructure AT mohamadhabes deeplearningframeworkidentifiesdimensionalrepresentationsofalzheimersdiseasefrombrainstructure AT gurayerus deeplearningframeworkidentifiesdimensionalrepresentationsofalzheimersdiseasefrombrainstructure AT ahmedabdulkadir deeplearningframeworkidentifiesdimensionalrepresentationsofalzheimersdiseasefrombrainstructure AT susanmresnick deeplearningframeworkidentifiesdimensionalrepresentationsofalzheimersdiseasefrombrainstructure AT marilynsalbert deeplearningframeworkidentifiesdimensionalrepresentationsofalzheimersdiseasefrombrainstructure AT paulmaruff deeplearningframeworkidentifiesdimensionalrepresentationsofalzheimersdiseasefrombrainstructure AT jurgenfripp deeplearningframeworkidentifiesdimensionalrepresentationsofalzheimersdiseasefrombrainstructure AT johncmorris deeplearningframeworkidentifiesdimensionalrepresentationsofalzheimersdiseasefrombrainstructure AT davidawolk deeplearningframeworkidentifiesdimensionalrepresentationsofalzheimersdiseasefrombrainstructure AT christosdavatzikos deeplearningframeworkidentifiesdimensionalrepresentationsofalzheimersdiseasefrombrainstructure AT istagingconsortium deeplearningframeworkidentifiesdimensionalrepresentationsofalzheimersdiseasefrombrainstructure AT baltimorelongitudinalstudyofagingblsa deeplearningframeworkidentifiesdimensionalrepresentationsofalzheimersdiseasefrombrainstructure AT alzheimersdiseaseneuroimaginginitiativeadni deeplearningframeworkidentifiesdimensionalrepresentationsofalzheimersdiseasefrombrainstructure
_version_	1718371982008909824

A deep learning framework identifies dimensional representations of Alzheimer’s Disease from brain structure

Ejemplares similares