Robert A. Koeppe
University of Michigan
445 Papers
3.9K Citations
Robert A. Koeppe is an academic researcher from University of Michigan. The author has contributed to research in topics: Medicine & Internal medicine. The author has an hindex of 102, co-authored 389 publications. Previous affiliations of Robert A. Koeppe include University of Pittsburgh & University of Washington.
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Papers
Selection of weighting factors for quantification of PET radioligand binding using simplified reference tissue models with noisy input functions.
TL;DR: A simulation study demonstrates that the proposed weighting approach improves the accuracy of estimated binding potential at high noise levels and when the reference tissue and target regions of interest are of comparable size, and tests the method on two common formulations of the simplified reference tissue model.
Location of pathogenic variants in PSEN1 impacts progression of cognitive, clinical, and neurodegenerative measures in autosomal-dominant Alzheimer's disease.
Stephanie A. Schultz,Zahra Shirzadi,L. Schultz,Lei Li,Colleen D. Fitzpatrick,Eric McDade,Nicolas R. Barthélemy,Alan E. Renton,Bianca Esposito,Nelly Joseph-Mathurin,Carlos Cruchaga,Charles Chen,Alison Goate,Ricardo F. Allegri,Tammie L.S. Benzinger,Sarah B. Berman,Helena C. Chui,Anne M. Fagan,Martin R. Farlow,Nick C. Fox,Brian A. Gordon,Gregory S. Day,Neill R. Graff-Radford,Jason Hassenstab,Bernard Hanseeuw,Anna Hofmann,Clifford R. Jack,Mathias Jucker,Celeste M. Karch,Robert A. Koeppe,Jae-Hong Lee,Allan I. Levey,Johannes Levin,Ralph N. Martins,Hiroshi Mori,John C. Morris,James M. Noble,R. Perrino,Pedro Rosa-Neto,Stephen Salloway,Raquel Sánchez-Valle,Peter R. Schofield,Chengjie Xiong,Keith A. Johnson,Randall J. Bateman,Reisa A. Sperling,Jasmeer P. Chhatwal +46 more
TL;DR: In this paper , the authors hypothesized that the interindividual variability may be associated with the location of the pathogenic variant within PSEN1, and they used linear mixed effects models to determine differences in clinical, cognitive, and biomarker measures between the NC, TM, and CY groups.
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Profiling baseline performance on the Longitudinal Early-Onset Alzheimer's Disease Study (LEADS) cohort near the midpoint of data collection.
Dustin B Hammers,Ani Eloyan,Alexander J. Taurone,Laurel A. Beckett,Su Gao,P. Aisen,Jeffrey L. Dage,Tatiana Foroud,P. Griffin,Lea T. Grinberg,Clifford R. Jack,Joel H. Kramer,Robert A. Koeppe,Walter A. Kukull,N. Mundada,Renaud La Joie,David N Soleimani-Meigooni,Leonardo Iaccarino,Melissa E. Murray,Kelly N.H. Nudelman,Angelina J. Polsinelli,Malia Rumbaugh,Arthur W. Toga,Alexandra Touroutoglou,Prashanthi Vemuri,Alireza Atri,Gregory S. Day,Ranjan Duara,Neill R. Graff-Radford,Lawrence S. Honig,David T. Jones,Joseph C. Masdeu,Mario F. Mendez,Kyle B. Womack,Erik S. Musiek,Chiadi U. Onyike,Meghan Riddle,Emily Rogalski,Stephen Salloway,Sharon J. Sha,R. Scott Turner,Thomas S. Wingo,David A. Wolk,Maria C. Carrillo,Bradford C. Dickerson,Gil D. Rabinovici,Liana G. Apostolova +46 more
TL;DR: The most comprehensive baseline characterization of sporadic early-onset Alzheimer's disease (EOAD) in the United States to date is presented in this article , showing that cognitive performance was worse for EOAD than other groups, and EOAD participants were apolipoprotein E (APOE) ε4 homozygotes at higher rates.
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