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Rebecca L. Koscik
University of Wisconsin-Madison
168Publications
25H-index
1,880Citations
Publications 168
Newest
Published on May 7, 2019in Journal of Alzheimer's Disease 3.17
Lena L. Law1
Estimated H-index: 1
(University of Wisconsin-Madison),
Kate E. Sprecher4
Estimated H-index: 4
(University of Wisconsin-Madison)
+ 13 AuthorsSanjay Asthana46
Estimated H-index: 46
(University of Wisconsin-Madison)
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Published on Apr 17, 2019in Archives of Clinical Neuropsychology 1.59
Deborah Talamonti (Liverpool John Moores University), Rebecca L. Koscik25
Estimated H-index: 25
(University of Wisconsin-Madison)
+ 1 AuthorsDavide Bruno13
Estimated H-index: 13
(Liverpool John Moores University)
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Published on Mar 4, 2019in Aging Neuropsychology and Cognition 1.84
Megan Zuelsdorff5
Estimated H-index: 5
(University of Wisconsin-Madison),
Rebecca L. Koscik25
Estimated H-index: 25
(University of Wisconsin-Madison)
+ 5 AuthorsCorinne D. Engelman19
Estimated H-index: 19
(University of Wisconsin-Madison)
ABSTRACTSocial engagement is associated with healthy aging and preserved cognition. Two dimensions of engagement, verbal interactions and perceived support, likely impact cognition via distinct mechanistic pathways. We explored the cognitive benefit of each construct among enrollees (N = 1,052, mean age = 60.2 years) in the Wisconsin Registry for Alzheimer’s Prevention study, who provide neuropsychological and sociobehavioral data at two-year intervals. Outcomes included six cognitive factor sco...
2 Citations Source Cite
Published on Mar 1, 2019in Alzheimers & Dementia 12.76
Lindsay R. Clark13
Estimated H-index: 13
(University of Wisconsin-Madison),
Rebecca L. Koscik25
Estimated H-index: 25
(University of Wisconsin-Madison)
+ 9 AuthorsNathaniel A. Chin (University of Wisconsin-Madison)
Abstract Background This study tested if central obesity, hypertension, or depressive symptoms moderated the relationship between β-amyloid (Aβ) and longitudinal cognitive performance in late middle-aged adults enriched for Alzheimer's disease (AD) risk. Methods Participants ( n = 207; ages = 40–70 years; 73% parental AD) in the Wisconsin Registry for Alzheimer's Prevention study completed 3+ neuropsychological evaluations and a [ 11 C]PiB positron emission tomography scan or lumbar puncture. Li...
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Published on Feb 24, 2019in bioRxiv
Burcu F. Darst5
Estimated H-index: 5
(University of Wisconsin-Madison),
Rebecca L. Koscik25
Estimated H-index: 25
(University of Wisconsin-Madison)
+ 2 AuthorsCorinne D. Engelman19
Estimated H-index: 19
(University of Wisconsin-Madison)
Understanding how metabolites are longitudinally influenced by age and sex could facilitate the identification of metabolomic profiles and trajectories that indicate disease risk. We investigated the metabolomics of age and sex using longitudinal plasma samples from the Wisconsin Registry for Alzheimer9s Prevention (WRAP), a cohort of participants who were dementia free at enrollment. Metabolomic profiles were quantified for 2,316 fasting plasma samples among 1,187 participants, each with up to ...
1 Citations Source Cite
Rebecca L. Koscik25
Estimated H-index: 25
(University of Wisconsin-Madison),
Derek L. Norton4
Estimated H-index: 4
(University of Wisconsin-Madison)
+ 9 AuthorsMark A. Sager41
Estimated H-index: 41
(University of Wisconsin-Madison)
Objective: In this paper we apply Information-Theoretic (IT) model averaging to characterize a set of complex interactions in a longitudinal study on cognitive decline. Prior research has identified numerous genetic (including sex), education, health and lifestyle factors that predict cognitive decline. Traditional model selection approaches (e.g., backward or stepwise selection) attempt to find models that best fit the observed data; these techniques risk interpretations that only the selected ...
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Published on Feb 1, 2019in Brain Imaging and Behavior 3.72
Annie M. Racine9
Estimated H-index: 9
(University of Wisconsin-Madison),
Andrew P. Merluzzi4
Estimated H-index: 4
(University of Wisconsin-Madison)
+ 14 AuthorsAndrew L. Alexander56
Estimated H-index: 56
(University of Wisconsin-Madison)
Alzheimer’s disease (AD) is characterized by substantial neurodegeneration, including both cortical atrophy and loss of underlying white matter fiber tracts. Understanding longitudinal alterations to white matter may provide new insights into trajectories of brain change in both healthy aging and AD, and fluid biomarkers may be particularly useful in this effort. To examine this, 151 late-middle-aged participants enriched with risk for AD with at least one lumbar puncture and two diffusion tenso...
9 Citations Source Cite
Published on Jan 1, 2019in NeuroImage: Clinical 3.87
Won Hwa Kim10
Estimated H-index: 10
(University of Wisconsin-Madison),
Annie M. Racine2
Estimated H-index: 2
(University of Wisconsin-Madison)
+ 9 AuthorsSterling C. Johnson60
Estimated H-index: 60
Abstract In addition to the development of beta amyloid plaques and neurofibrillary tangles, Alzheimer's disease (AD) involves the loss of connecting structures including degeneration of myelinated axons and synaptic connections. However, the extent to which white matter tracts change longitudinally, particularly in the asymptomatic, preclinical stage of AD, remains poorly characterized. In this study we used a novel graph wavelet algorithm to determine the extent to which microstructural brain ...
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