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Sökning: WFRF:(Firth NC) > (2018) > Uncovering the hete...

LIBRIS Formathandbok  (Information om MARC21)
FältnamnIndikatorerMetadata
00003301naa a2200613 4500
001oai:prod.swepub.kib.ki.se:139373406
003SwePub
008240917s2018 | |||||||||||000 ||eng|
024a http://kipublications.ki.se/Default.aspx?queryparsed=id:1393734062 URI
024a https://doi.org/10.1038/s41467-018-05892-02 DOI
040 a (SwePub)ki
041 a engb eng
042 9 SwePub
072 7a ref2 swepub-contenttype
072 7a art2 swepub-publicationtype
100a Young, AL4 aut
2451 0a Uncovering the heterogeneity and temporal complexity of neurodegenerative diseases with Subtype and Stage Inference
264 c 2018-10-15
264 1b 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.
700a Marinescu, RV4 aut
700a Oxtoby, NP4 aut
700a Bocchetta, M4 aut
700a Yong, K4 aut
700a Firth, NC4 aut
700a Cash, DM4 aut
700a Thomas, DL4 aut
700a Dick, KM4 aut
700a Cardoso, J4 aut
700a van Swieten, J4 aut
700a Borroni, B4 aut
700a Galimberti, D4 aut
700a Masellis, M4 aut
700a Tartaglia, MC4 aut
700a Rowe, JB4 aut
700a Graff, Cu Karolinska Institutet4 aut
700a Tagliavini, F4 aut
700a Frisoni, GB4 aut
700a Laforce, R4 aut
700a Finger, E4 aut
700a de Mendonca, A4 aut
700a Sorbi, S4 aut
700a Warren, JD4 aut
700a Crutch, S4 aut
700a Fox, NC4 aut
700a Ourselin, S4 aut
700a Schott, JM4 aut
700a Rohrer, JD4 aut
700a Alexander, DC4 aut
710a Karolinska Institutet4 org
773t Nature communicationsd : Springer Science and Business Media LLCg 9:1, s. 4273-q 9:1<4273-x 2041-1723
856u https://www.nature.com/articles/s41467-018-05892-0.pdf
8564 8u http://kipublications.ki.se/Default.aspx?queryparsed=id:139373406
8564 8u https://doi.org/10.1038/s41467-018-05892-0

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