Sökning: WFRF:(Firth NC) > (2018) > Uncovering the hete...
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000 | 03301naa a2200613 4500 | |
001 | oai:prod.swepub.kib.ki.se:139373406 | |
003 | SwePub | |
008 | 240917s2018 | |||||||||||000 ||eng| | |
024 | 7 | a http://kipublications.ki.se/Default.aspx?queryparsed=id:1393734062 URI |
024 | 7 | a https://doi.org/10.1038/s41467-018-05892-02 DOI |
040 | a (SwePub)ki | |
041 | a engb eng | |
042 | 9 SwePub | |
072 | 7 | a ref2 swepub-contenttype |
072 | 7 | a art2 swepub-publicationtype |
100 | 1 | a Young, AL4 aut |
245 | 1 0 | a Uncovering the heterogeneity and temporal complexity of neurodegenerative diseases with Subtype and Stage Inference |
264 | c 2018-10-15 | |
264 | 1 | b Springer Science and Business Media LLC,c 2018 |
520 | a 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. | |
700 | 1 | a Marinescu, RV4 aut |
700 | 1 | a Oxtoby, NP4 aut |
700 | 1 | a Bocchetta, M4 aut |
700 | 1 | a Yong, K4 aut |
700 | 1 | a Firth, NC4 aut |
700 | 1 | a Cash, DM4 aut |
700 | 1 | a Thomas, DL4 aut |
700 | 1 | a Dick, KM4 aut |
700 | 1 | a Cardoso, J4 aut |
700 | 1 | a van Swieten, J4 aut |
700 | 1 | a Borroni, B4 aut |
700 | 1 | a Galimberti, D4 aut |
700 | 1 | a Masellis, M4 aut |
700 | 1 | a Tartaglia, MC4 aut |
700 | 1 | a Rowe, JB4 aut |
700 | 1 | a Graff, Cu Karolinska Institutet4 aut |
700 | 1 | a Tagliavini, F4 aut |
700 | 1 | a Frisoni, GB4 aut |
700 | 1 | a Laforce, R4 aut |
700 | 1 | a Finger, E4 aut |
700 | 1 | a de Mendonca, A4 aut |
700 | 1 | a Sorbi, S4 aut |
700 | 1 | a Warren, JD4 aut |
700 | 1 | a Crutch, S4 aut |
700 | 1 | a Fox, NC4 aut |
700 | 1 | a Ourselin, S4 aut |
700 | 1 | a Schott, JM4 aut |
700 | 1 | a Rohrer, JD4 aut |
700 | 1 | a Alexander, DC4 aut |
710 | 2 | a Karolinska Institutet4 org |
773 | 0 | t Nature communicationsd : Springer Science and Business Media LLCg 9:1, s. 4273-q 9:1<4273-x 2041-1723 |
856 | 4 | u https://www.nature.com/articles/s41467-018-05892-0.pdf |
856 | 4 8 | u http://kipublications.ki.se/Default.aspx?queryparsed=id:139373406 |
856 | 4 8 | u https://doi.org/10.1038/s41467-018-05892-0 |
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