There is a window of time in humans, hypothesized as preclinical Alzheimer's disease (AD) during which amyloid-? (A?) deposition and tauopathy accrues prior to the detection of clinical symptoms and signs of cognitive impairment. By the time of clinical detection of symptomatic AD, there is already significant cell and synaptic loss. An important goal is to determine whether there are changes not only in imaging and fluid biomarkers, but also in brain function, that are associated with preclinical AD that are 1) quantitative;2) predict prognosis;and 3) respond to therapeutic intervention. Sleep in an essential biological function that becomes significantly abnormal during the course of dementia due to AD. We have shown that soluble, monomeric A? in both mice and humans is regulated by the sleep/wake cycle. We have also found that as APP transgenic mice develop A? deposition, sleep, particularly non-REM sleep, is markedly disrupted and that this is secondary to A? accumulation. We have also assessed sleep in a mouse model of tauopathy (P301S Tau transgenic mice) and have noted a marked decline in delta power during non-REM sleep. In recent studies, we have assessed sleep in a cohort of late-middle aged individuals with actigraphy, and found that those with A? deposition have significantly decreased sleep efficiency (% of time sleeping while in bed). Very few of the individuals in our first study had developed neurodegeneration (e.g. increased CSF tau) and we did not assess sleep stages directly by EEG. Herein, we will assess a cohort of individuals who are somewhat older (with mean age ~75);many are cognitively normal with and without different stages of preclinical AD and some have very mild dementia. We hypothesize that decreases in non-REM sleep and delta power will begin during the initial phases of A? deposition and worsen with biomarker evidence of neurodegeneration and tauopathy during preclinical AD and mild cognitive impairment (MCI). In addition, we hypothesize that changes in sleep detected initially and longitudinally will be quantitative diagnostic and prognostic markers of brain injury that have potential to respond to therapeutic intervention (theranostic markers). We predict that progressive changes in sleep will correlate with brain atrophy and dysfunction as assessed by structural MRI, functional connectivity MRI, and certain aspects of longitudinal cognitive performance such as the practice effect.
As instructed by the funding opportunity announcement for this application (PAR-13-329), only the Overall component contains a project narrative. Cores and projects were instructed not to include this section.
|Lucey, Brendan P; Mawuenyega, Kwasi G; Patterson, Bruce W et al. (2016) Associations Between Î²-Amyloid Kinetics and the Î²-Amyloid Diurnal Pattern in the Central Nervous System. JAMA Neurol :|
|Esparza, Thomas J; Wildburger, Norelle C; Jiang, Hao et al. (2016) Soluble Amyloid-beta Aggregates from Human Alzheimer's Disease Brains. Sci Rep 6:38187|
|McKee, Ann C; Cairns, Nigel J; Dickson, Dennis W et al. (2016) The first NINDS/NIBIB consensus meeting to define neuropathological criteria for the diagnosis of chronic traumatic encephalopathy. Acta Neuropathol 131:75-86|
|Reiman, Eric M; Langbaum, Jessica B; Tariot, Pierre N et al. (2016) CAP--advancing the evaluation of preclinical Alzheimer disease treatments. Nat Rev Neurol 12:56-61|
|Jin, Sheng Chih; Benitez, Bruno A; Deming, Yuetiva et al. (2016) Pooled-DNA Sequencing for Elucidating New Genomic Risk Factors, Rare Variants Underlying Alzheimer's Disease. Methods Mol Biol 1303:299-314|
|Hohman, Timothy J; Cooke-Bailey, Jessica N; Reitz, Christiane et al. (2016) Global and local ancestry in African-Americans: Implications for Alzheimer's disease risk. Alzheimers Dement 12:233-43|
|Van Schependom, Jeroen; Jain, Saurabh; Cambron, Melissa et al. (2016) Reliability of measuring regional callosal atrophy in neurodegenerative diseases. Neuroimage Clin 12:825-831|
|Hohman, Timothy J; Bush, William S; Jiang, Lan et al. (2016) Discovery of gene-gene interactions across multiple independent data sets of late onset Alzheimer disease from the Alzheimer Disease Genetics Consortium. Neurobiol Aging 38:141-50|
|Ebbert, Mark T W; Boehme, Kevin L; Wadsworth, Mark E et al. (2016) Interaction between variants in CLU and MS4A4E modulates Alzheimer's disease risk. Alzheimers Dement 12:121-9|
|Su, Yi; Rubin, Brian B; McConathy, Jonathan et al. (2016) Impact of MR-Based Attenuation Correction on Neurologic PET Studies. J Nucl Med 57:913-7|
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