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P4‐072: A jacobian‐based method to assess changes in cortical thickness: Application to ADNI data and comparison with longitudinal freesurfer
Author(s) -
Schaerer Joël,
Roche Florent,
Bracoud Luc,
Joly Clément,
Coste Arthur,
Oh Joonmi,
Belaroussi Boubakeur,
Suhy Joyce
Publication year - 2015
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.2015.06.1777
Subject(s) - jacobian matrix and determinant , inverse distance weighting , context (archaeology) , mathematics , metric (unit) , algorithm , artificial intelligence , computer science , statistics , geology , paleontology , multivariate interpolation , bilinear interpolation , operations management , economics
ERC and ADAS13 scores were 35%, 30% and 7%. Thirty-eight (38) CN subjects progressed to incident MCI, but neither age nor education predicted progression. In univariate Cox models, ADAS13 score (c1⁄414.2, p<.0001) and ERC normalized volume (c1⁄46.2, p1⁄40.01) predicted progression, while amyloid SUVR showed a trend toward significant prediction (c1⁄43.2, p1⁄4.07). In multivariate Cox regression, only ADAS13 scores predicted progression (c 1⁄48.3, p1⁄4.004). Using dichotomized variables, all predictors were significant in univariate analyses, but none provided unique variance in multivariate models. The estimated 2.1 year progression rates to MCI and 95% CIs were: