WFRF:(Firth NC)
Search: WFRF:(Firth NC) > (2018) > Uncovering the hete...
- 1 of 1
- Previous record
- Next record
- To hitlist
Uncovering the heterogeneity and temporal complexity of neurodegenerative diseases with Subtype and Stage Inference
- Young, AL (author)
- Marinescu, RV (author)
- Oxtoby, NP (author)
- show more...
- Bocchetta, M (author)
- Yong, K (author)
- Firth, NC (author)
- Cash, DM (author)
- Thomas, DL (author)
- Dick, KM (author)
- Cardoso, J (author)
- van Swieten, J (author)
- Borroni, B (author)
- Galimberti, D (author)
- Masellis, M (author)
- Tartaglia, MC (author)
- Rowe, JB (author)
- Tagliavini, F (author)
- Frisoni, GB (author)
- Laforce, R (author)
- Finger, E (author)
- de Mendonca, A (author)
- Sorbi, S (author)
- Warren, JD (author)
- Crutch, S (author)
- Fox, NC (author)
- Ourselin, S (author)
- Schott, JM (author)
- Rohrer, JD (author)
- Alexander, DC (author)
- show less...
- (creator_code:org_t)
- 2018-10-15
- 2018
- English.
- In: Nature communications. - : Springer Science and Business Media LLC. - 2041-1723. ; 9:1, s. 4273-
- Journal article (peer-reviewed)
Abstract
Subject headings
Close
- The heterogeneity of neurodegenerative diseases is a key confound to disease understanding and treatment development, as study cohorts typically include multiple phenotypes on distinct disease trajectories. Here we introduce a machine-learning technique—Subtype and Stage Inference (SuStaIn)—able to uncover data-driven disease phenotypes with distinct temporal progression patterns, from widely available cross-sectional patient studies. Results from imaging studies in two neurodegenerative diseases reveal subgroups and their distinct trajectories of regional neurodegeneration. In genetic frontotemporal dementia, SuStaIn identifies genotypes from imaging alone, validating its ability to identify subtypes; further the technique reveals within-genotype heterogeneity. In Alzheimer’s disease, SuStaIn uncovers three subtypes, uniquely characterising their temporal complexity. SuStaIn provides fine-grained patient stratification, which substantially enhances the ability to predict conversion between diagnostic categories over standard models that ignore subtype (p = 7.18 × 10−4) or temporal stage (p = 3.96 × 10−5). SuStaIn offers new promise for enabling disease subtype discovery and precision medicine.
Publication and Content Type
- ref (subject category)
- art (subject category)
Find in a library
- Nature communications (Search for host publication in LIBRIS)
To the university's database
- 1 of 1
- Previous record
- Next record
- To hitlist
Find more in SwePub
- By the author/editor
- Young, AL
- Marinescu, RV
- Oxtoby, NP
- Bocchetta, M
- Yong, K
- Firth, NC
- show more...
- Cash, DM
- Thomas, DL
- Dick, KM
- Cardoso, J
- van Swieten, J
- Borroni, B
- Galimberti, D
- Masellis, M
- Tartaglia, MC
- Rowe, JB
- Graff, C
- Tagliavini, F
- Frisoni, GB
- Laforce, R
- Finger, E
- de Mendonca, A
- Sorbi, S
- Warren, JD
- Crutch, S
- Fox, NC
- Ourselin, S
- Schott, JM
- Rohrer, JD
- Alexander, DC
- show less...
- Articles in the publication
- Nature communica ...
- By the university
- Karolinska Institutet
Search outside SwePub
- Extend your search to:
- Google Book Search
- Google Scholar
Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.
- Copyright © LIBRIS - National Library Systems
- LIBRIS.kb.se
