Assessing the reliability to detect cerebral hypometabolism in probable Alzheimer's disease and amnestic mild cognitive impairment

• Published in: Journal of neuroscience methods Vol. 192; no. 2; pp. 277 - 285
• Main Authors: Wu, Xia, Chen, Kewei, Yao, Li, Ayutyanont, Napatkamon, Langbaum, Jessica B.S., Fleisher, Adam, Reschke, Cole, Lee, Wendy, Liu, Xiaofen, Alexander, Gene E., Bandy, Dan, Foster, Norman L., Thompson, Paul M., Harvey, Danielle J., Weiner, Michael W., Koeppe, Robert A., Jagust, William J., Reiman, Eric M.
• Format: Journal Article
• Language: English
• Published: Netherlands Elsevier B.V 15.10.2010
• Subjects: Aged; Aged, 80 and over; Alzheimer Disease - diagnostic imaging; Alzheimer Disease - metabolism; Alzheimer's disease; Amnesia - diagnostic imaging; Amnesia - metabolism; Bootstrap resampling; Brain - diagnostic imaging; Brain - metabolism; Brain Mapping - methods; Cognition Disorders - diagnostic imaging; Cognition Disorders - metabolism; Family-wise error; FDG-PET; Female; Humans; Image Processing, Computer-Assisted; Male; MCI; Middle Aged; Positron-Emission Tomography - methods; Reliability; Reproducibility of Results; SPM; FDG-PET; SPM; MCI; Reproducibility of results; Family-wise error; Reliability; Alzheimer's disease; Bootstrap resampling

▶ Measure hypometabolism reliability for FDG-PET using Bootstrap resampling. ▶ Discuss this reliability with the hypometabolism consistency over multi-datasets. ▶ Characterize this reliability relation to the parametric type-I error. ▶ Propose its use for longitudinal study and for multiple comparis...