Journal article
Surface feature-guided mapping of cerebral metabolic changes in cognitively normal and mildly impaired elderly
LG Apostolova, PM Thompson, SA Rogers, ID Dinov, C Zoumalan, CA Steiner, E Siu, AE Green, GW Small, AW Toga, JL Cummings, ME Phelps, DH Silverman
Molecular Imaging and Biology | SPRINGER | Published : 2010
Abstract
Purpose: The aim of this study was to investigate the longitudinal positron emission tomography (PET) metabolic changes in the elderly. Procedures: Nineteen nondemented subjects (mean Mini-Mental Status Examination 29.4±0.7 SD) underwent two detailed neuropsychological evaluations and resting 2-deoxy-2-[F-18]fluoro-D-glucose (FDG)-PET scan (interval 21.7±3.7 months), baseline structural 3T magnetic resonance (MR) imaging, and apolipoprotein E4 genotyping. Cortical PET metabolic changes were analyzed in 3-D using the cortical pattern matching technique. Results: Baseline vs. follow-up whole-group comparison revealed significant metabolic decline bilaterally in the posterior temporal, parietal..
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Awarded by National Institutes of Health
Funding Acknowledgements
This study was generously supported by NIA K23 AG026803 ( jointly sponsored by NIA, AFAR, The John A. Hartford Foundation, the Atlantic Philanthropies, the Starr Foundation, and an anonymous donor; to LGA), NIA P50 AG16570 ( to JLC, LGA and PMT); NIBIB EB01651, NLM LM05639, NCRR RR019771 ( to PMT); NIH/NIMH R01 MH071940, NIH/NCRR P41 RR013642 and NIH U54 RR021813 ( to AWT and PMT); NIH PO1-AG024831, AG 13308, P50 AG16570, MH/AG58156, MH52453, AG10123, MO1-RR00865 ( to GWS), the Department of Energy (DOE contract DE-FC03-87-ER60615), General Clinical Research Centers Program, the Rotary CART Fund; the Alzheimer's Association; the Fran and Ray Stark Foundation Fund for Alzheimer's Disease Research; the Ahmanson Foundation; the Larry L. Hillblom Foundation; the Lovelace Foundation, the Judith Olenick Elgart Fund for Research on Brain Aging, the John D. French Foundation for Alzheimer's Research, and the Tamkin Foundation (to GWS).