Nature Communications (Oct 2018)
Uncovering the heterogeneity and temporal complexity of neurodegenerative diseases with Subtype and Stage Inference
- 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)
Affiliations
- Alexandra L Young
- Centre for Medical Image Computing, University College London
- Razvan V Marinescu
- Centre for Medical Image Computing, University College London
- Neil P Oxtoby
- Centre for Medical Image Computing, University College London
- Martina Bocchetta
- Dementia Research Centre, Institute of Neurology, University College London
- Keir Yong
- Dementia Research Centre, Institute of Neurology, University College London
- Nicholas C Firth
- Centre for Medical Image Computing, University College London
- David M Cash
- Centre for Medical Image Computing, University College London
- David L Thomas
- Leonard Wolfson Experimental Neurology Centre, UCL Institute of Neurology, University College London
- Katrina M Dick
- Dementia Research Centre, Institute of Neurology, University College London
- Jorge Cardoso
- Centre for Medical Image Computing, University College London
- John van Swieten
- Erasmus Medical Center
- Barbara Borroni
- Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia
- Daniela Galimberti
- Dept. of Physiopathology and Transplantation, University of Milan, Centro Dino Ferrari
- Mario Masellis
- Sunnybrook Health Sciences Centre, University of Toronto
- Maria Carmela Tartaglia
- Centre for Research in Neurodegenerative Diseases, University of Toronto, ON
- James B Rowe
- University of Cambridge, Department of Clinical Neurosciences
- Caroline Graff
- Karolinska Institutet
- Fabrizio Tagliavini
- Istituto Neurologico Carlo Besta
- Giovanni B Frisoni
- University Hospitals and University of Geneva
- Robert Laforce
- Université Laval
- Elizabeth Finger
- University of Western Ontario
- Alexandre de Mendonça
- Faculdade de Medicina, Universidade de Lisboa
- Sandro Sorbi
- Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence
- Jason D Warren
- Dementia Research Centre, Institute of Neurology, University College London
- Sebastian Crutch
- Dementia Research Centre, Institute of Neurology, University College London
- Nick C Fox
- Dementia Research Centre, Institute of Neurology, University College London
- Sebastien Ourselin
- Centre for Medical Image Computing, University College London
- Jonathan M Schott
- Dementia Research Centre, Institute of Neurology, University College London
- Jonathan D Rohrer
- Dementia Research Centre, Institute of Neurology, University College London
- Daniel C Alexander
- Centre for Medical Image Computing, University College London
- The Genetic FTD Initiative (GENFI)
- The Alzheimer’s Disease Neuroimaging Initiative (ADNI)
- DOI
- https://doi.org/10.1038/s41467-018-05892-0
- Journal volume & issue
-
Vol. 9,
no. 1
pp. 1 – 16
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.
