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[P1–448]: PET TAU AND AMYLOID‐BETA DIFFER IN THEIR RELATIONSHIP TO AGE, COGNITION AND CSF BIOMARKERS IN MILD ALZHEIMER's DISEASE: AN OBSERVATIONAL STUDY
Author(s) -
Koychev Ivan G.,
Gunn Roger N.,
Firouzian Azadeh,
Lawson Jennifer,
Zamboni Giovanna,
Ridha Basil H.,
Sahakian Barbara,
Rowe James B.,
Thomas Alan,
Rochester Lynn,
Ffytche Dominic,
Howard Robert J.,
Zetterberg Henrik,
MacKay Clare,
Lovestone Simon
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.2017.06.464
Subject(s) - entorhinal cortex , dementia , beta (programming language) , medicine , biomarker , alzheimer's disease neuroimaging initiative , amyloid beta , oncology , psychology , amyloid (mycology) , disease , cognitive decline , cognition , neuroscience , pathology , hippocampus , chemistry , computer science , programming language , biochemistry
coregistered using group-wise rigid registration with SPM12 to produce a mean-space PiB single-subject template image (PETSST). A rigid registration between the PET-SST and the T1-SST was used to B-spline resample each PET scan to the T1-SST space for each timepoint’s SUVR calculation. We hypothesized that our approach (using a single mean-space T1-weighted image for segmentation and region localization, and a groupwise alignment of PET images with a single rigid registration to the mean-space T1) would yield improved longitudinal measurement performance compared to traditional intra-timepoint measurement methods. Our metrics of evaluation were: (1) reliability (larger Rof linear intrasubject fits) and (2) plausibility (smaller percent of subjects with significantly negative slopes, indicating biologically-implausible