THE ASSOCIATION BETWEEN PERSONALITY AND TAU PET DEPOSITION IN COGNITIVELY NORMAL OLDER ADULTS: FINDINGS FROM THE KNIGHT ALZHEIMER DISEASE RESEARCH CENTER

2017 ◽  
Vol 13 (7) ◽  
pp. P145-P146
Author(s):  
Stephanie A. Schultz ◽  
Brian A. Gordon ◽  
Shruti Mishra ◽  
John C. Morris ◽  
Janet M. Duchek ◽  
...  
2017 ◽  
Vol 13 (7S_Part_8) ◽  
pp. P391-P392
Author(s):  
Stephanie A. Schultz ◽  
Brian A. Gordon ◽  
Shruti Mishra ◽  
John C. Morris ◽  
Janet M. Duchek ◽  
...  

2021 ◽  
Vol 17 (S5) ◽  
Author(s):  
John C. Morris ◽  
Beau M. Ances ◽  
Karin L. Meeker ◽  
Suzanne E. Schindler ◽  
Chengjie Xiong ◽  
...  

BMJ Open ◽  
2021 ◽  
Vol 11 (9) ◽  
pp. e050820
Author(s):  
Rebecca M Bollinger ◽  
Audrey Keleman ◽  
Regina Thompson ◽  
Elizabeth Westerhaus ◽  
Anne M Fagan ◽  
...  

IntroductionProgression to symptomatic Alzheimer disease (AD) occurs slowly over a series of preclinical stages. Declining functional mobility may be an early indicator of loss of brain network integration and may lead to an increased risk of experiencing falls. It is unknown whether measures of functional mobility and falls are preclinical markers of AD. The purpose of this study is to examine (1) the relationship between falls and functional mobility with AD biomarkers to determine when falls occur within the temporal progression to symptomatic Alzheimer disease, and (2) the attentional compared with perceptual/motor systems that underlie falls and functional mobility changes seen with AD.Methods and analysisThis longitudinal cohort study will be conducted at the Knight Alzheimer Disease Research Center. Approximately 350 cognitively normal participants (with and without preclinical AD) will complete an in-home visit every year for 4 years. During each yearly assessment, functional mobility will be assessed using the Performance Oriented Mobility Assessment, Timed Up and Go, and Timed Up and Go dual task. Data regarding falls (including number and severity) will be collected monthly by self-report and confirmed through interviews. This study will leverage ongoing neuropsychological assessments and neuroimaging (including molecular imaging using positron emission tomography and MRI) performed by the Knight Alzheimer Disease Research Center. Relationships between falls and biomarkers of amyloid, tau and neurodegeneration will be evaluated.Ethics and disseminationThis study was approved by the Washington University in St. Louis Institutional Review Board (reference number 201807135). Written informed consent will be obtained in the home prior to the collection of any study data. Results will be published in peer-reviewed publications and presented at national and international conferences.Trial registration numberNCT04949529; Pre-results.


Author(s):  
Pamela J. LaMontagne ◽  
Tammie LS. Benzinger ◽  
John C. Morris ◽  
Sarah Keefe ◽  
Russ Hornbeck ◽  
...  

ABSTRACTOASIS-3 is a compilation of MRI and PET imaging and related clinical data for 1098 participants who were collected across several ongoing studies in the Washington University Knight Alzheimer Disease Research Center over the course of 15 years. Participants include 605 cognitively normal adults and 493 individuals at various stages of cognitive decline ranging in age from 42 to 95 years. The OASIS-3 dataset contains over 2000 MR sessions, including multiple structural and functional sequences. PET metabolic and amyloid imaging includes over 1500 raw imaging scans and the accompanying post-processed files from the PET Unified Pipeline (PUP) are also available in OASIS-3. OASIS-3 also contains post-processed imaging data such as volumetric segmentations and PET analyses. Imaging data is accompanied by dementia and APOE status and longitudinal clinical and cognitive outcomes. OASIS-3 is available as an open access data set to the scientific community to answer questions related to healthy aging and dementia.


2019 ◽  
Vol 14 (6) ◽  
pp. 2122-2131 ◽  
Author(s):  
Stephanie A. Schultz ◽  
Brian A. Gordon ◽  
Shruti Mishra ◽  
Yi Su ◽  
John C. Morris ◽  
...  

2020 ◽  
Vol 35 (3) ◽  
pp. 329-339 ◽  
Author(s):  
Sarah H. Stout ◽  
Ganesh M. Babulal ◽  
Ann M. Johnson ◽  
Monique M. Williams ◽  
Catherine M. Roe

2016 ◽  
Vol 12 ◽  
pp. P940-P941
Author(s):  
Molly R. LaPoint ◽  
Jasmeer P. Chhatwal ◽  
Jorge Sepulcre ◽  
Danielle M. Cosio ◽  
Keith Johnson ◽  
...  

2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Jason Hassenstab ◽  
Jessica Nicosia ◽  
Megan LaRose ◽  
Andrew J. Aschenbrenner ◽  
Brian A. Gordon ◽  
...  

Abstract Background Comprehensive testing of cognitive functioning is standard practice in studies of Alzheimer disease (AD). Short-form tests like the Montreal Cognitive Assessment (MoCA) use a “sampling” of measures, administering key items in a shortened format to efficiently assess cognition while reducing time requirements, participant burden, and administrative costs. We compared the MoCA to a commonly used long-form cognitive battery in predicting AD symptom onset and sensitivity to AD neuroimaging biomarkers. Methods Survival, area under the receiver operating characteristic (ROC) curve (AUC), and multiple regression analyses compared the MoCA and long-form measures in predicting time to symptom onset in cognitively normal older adults (n = 6230) from the National Alzheimer’s Coordinating Center (NACC) cohort who had, on average, 2.3 ± 1.2 annual assessments. Multiple regression models in a separate sample (n = 416) from the Charles F. and Joanne Knight Alzheimer Disease Research Center (Knight ADRC) compared the sensitivity of the MoCA and long-form measures to neuroimaging biomarkers including amyloid PET, tau PET, and cortical thickness. Results Hazard ratios suggested that both the MoCA and the long-form measures are similarly and modestly efficacious in predicting symptomatic conversion, although model comparison analyses indicated that the long-form measures slightly outperformed the MoCA (HRs > 1.57). AUC analyses indicated no difference between the measures in predicting conversion (DeLong’s test, Z = 1.48, p = 0.13). Sensitivity to AD neuroimaging biomarkers was similar for the two measures though there were only modest associations with tau PET (rs = − 0.13, ps < 0.02) and cortical thickness in cognitively normal participants (rs = 0.15–0.16, ps < 0.007). Conclusions Both test formats showed weak associations with symptom onset, AUC analyses indicated low diagnostic accuracy, and biomarker correlations were modest in cognitively normal participants. Alternative assessment approaches are needed to improve how clinicians and researchers monitor cognitive changes and disease progression prior to symptom onset.


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