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Banner Alzheimer's Institute, Phoenix, AZ, USAArizona Alzheimer's Consortium, Phoenix, AZ, USATranslational Genomics Research Institute, Phoenix, AZ, USAArizona State University, Tempe, AZ, USAUniversity of Arizona, Phoenix, AZ, USA
Longitudinal imaging data has becoming increasingly common in clinical studies of
aging and dementia. A procedure that specifically takes longitudinally acquired data
into consideration has been developed and implemented in the FreeSurfer package (Reuter
2012), which has demonstrated improved precision and statistical power in detecting
longitudinal changes. It is reasonable to assume this finding can be generalized to
other quantitative imaging analysis tasks such as positron emission tomography (PET)
measurements of amyloid burden. We therefore test this hypothesize using longitudinal
florbetapir PET data.
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