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[P2–414]: CHARACTERISING THE PROGRESSION OF ALZHEIMER's DISEASE SUBTYPES USING SUBTYPE AND STAGE INFERENCE (SUSTAIN)
Author(s) -
Young Alexandra L.,
Marinescu Razvan Valentin,
Yong Keir,
Firth Nicholas C.,
Oxtoby Neil P.,
Cash David M.,
Fox Nick C.,
Crutch Sebastian J.,
Rohrer Jonathan D.,
Schott Jonathan M.,
Alexander Daniel C.
Publication year - 2017
Publication title -
alzheimer's and dementia
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.713
H-Index - 118
eISSN - 1552-5279
pISSN - 1552-5260
DOI - 10.1016/j.jalz.2017.06.1070
Subject(s) - alzheimer's disease neuroimaging initiative , atrophy , cognition , dementia , neuropsychology , cognitive decline , neuroimaging , disease , inference , psychology , neuroscience , medicine , oncology , artificial intelligence , computer science
ures (A)-(D) show the progression pattern of each of the four subtypes estimated by SuStaIn. The cumulative probability each region has reached a particular z-score is shown for different stages along the progression; the cumulative probability of a region going from a z-score of 0-sigma to 1-sigma ranges from 0 in white to 1 in red, the cumulative probability of a region going from a z-score of 1-sigma to 2sigma ranges from 0 in red to 1 in magenta, and the cumulative probability of a region going from a z-score of 2-sigma to 3-sigma ranges from 0 in magenta to 1 in blue, f is the proportion of subjects assigned to each subtype. CVS is the model cross-validation similarity: the average similarity of the subtype progression patterns across cross-validation folds, measured using the Bhattacharyya coefficient. The CVS ranges from 0 (no similarity) to 1 (maximum similarity). Poster Presentations: Monday, July 17, 2017 P791