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Rebecca L. Koscik
University of Wisconsin-Madison
182Publications
25H-index
1,919Citations
Publications 182
Newest
#1Erin Jonaitis (UW: University of Wisconsin-Madison)H-Index: 13
#2Rebecca L. Koscik (UW: University of Wisconsin-Madison)H-Index: 25
Last.Carol A. Van Hulle (UW: University of Wisconsin-Madison)H-Index: 30
view all 17 authors...
Abstract Introduction Longitudinal cohort studies of cognitive aging must confront several sources of within-person variability in scores. In this article, we compare several neuropsychological measures in terms of longitudinal error variance and relationships with biomarker-assessed brain amyloidosis (Aβ). Methods Analyses used data from the Wisconsin Registry for Alzheimer's Prevention. We quantified within-person longitudinal variability and age-related trajectories for several global and dom...
#1Carey E. Gleason (UW: University of Wisconsin-Madison)H-Index: 24
#2Derek L. Norton (UW: University of Wisconsin-Madison)H-Index: 4
Last.Rebecca L. Koscik (UW: University of Wisconsin-Madison)H-Index: 25
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Abstract Introduction We examined the influence of enrollment factors demonstrated to differ by race on incident mild cognitive impairment and dementia using Alzheimer's Disease Center data. Methods Differences in rates of incident impairment between non-Latino Whites and Blacks (n = 12,242) were examined with age-at-progression survival models. Models included race, sex, education, source of recruitment, health factors, and family history of dementia. Results No significant race differences in ...
#1Rebecca L. Koscik (UW: University of Wisconsin-Madison)H-Index: 25
#2Tobey J. Betthauser (UW: University of Wisconsin-Madison)H-Index: 7
Last.Charles K. Stone (UW: University of Wisconsin-Madison)H-Index: 16
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INTRODUCTION: This study applies a novel algorithm to longitudinal amyloid positron emission tomography (PET) imaging to identify age-heterogeneous amyloid trajectory groups, estimate the age and duration (chronicity) of amyloid positivity, and investigate chronicity in relation to cognitive decline and tau burden. METHODS: Cognitively unimpaired participants (n=257) underwent 1-4 amyloid PET scans. Group-based trajectory modeling was applied to participants with longitudinal scans (n=171) to id...
#1Chengjie Xiong (WashU: Washington University in St. Louis)H-Index: 44
#2Jingqin Luo (WashU: Washington University in St. Louis)H-Index: 25
Last.Victor L. Villemagne (University of Melbourne)H-Index: 64
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Abstract Introduction Large longitudinal biomarkers database focusing on middle age is needed for Alzheimer's disease (AD) prevention. Methods Data for cerebrospinal fluid analytes, molecular imaging of cerebral fibrillar β-amyloid with positron emission tomography, magnetic resonance imaging–based brain structures, and clinical/cognitive outcomes were harmonized across eight AD biomarker studies. Statistical power was estimated. Results The harmonized database included 7779 participants with cl...
#1Kimberly D. Mueller (UW: University of Wisconsin-Madison)H-Index: 7
#2Rebecca L. Koscik (UW: University of Wisconsin-Madison)H-Index: 25
Last.Sarah G. Kraning (UW: University of Wisconsin-Madison)H-Index: 1
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Background Studies have suggested associations between self-reported engagement in health behaviors and reduced risk of cognitive decline. Most studies explore these relationships using one health behavior, often cross-sectionally or with dementia as the outcome. In this study, we explored whether several individual self-reported health behaviors were associated with cognitive decline when considered simultaneously, using data from the Wisconsin Registry for Alzheimer’s Prevention (WRAP), an Alz...
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