Citations 129

Phenoconversion from probable rapid eye movement sleep behavior disorder to mild cognitive impairment to dementia in a population‐based sample

Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring | May 31, 2017 | Volume: 8 | Issue: 1 | Pages: 127-130

10.1016/j.dadm.2017.05.004 | PMID 28649596

AbstractIntroductionRapid eye movement sleep behavior disorder (RBD) is strongly associated with synucleinopathies. In 2012, we reported an increased risk of mild cognitive impairment (MCI) and Parkinson disease (PD) in cognitively normal Olmsted County, Minnesota, residents, aged 70 to 89 years with probable RBD. Here, we examine their progression to dementia and other neurodegenerative phenotypes.MethodsFifteen participants with RBD who were diagnosed with either MCI or PD were longitudinally followed, and their subsequent clinical courses were reviewed.ResultsOver 6.4 ± 2.9 years, six of the 14 participants with MCI developed additional neurodegenerative signs, five of whom had Lewy body disease features. Four of them progressed to dementia at a mean age 84.8 ± 4.9 years, three of whom met the criteria for probable dementia with Lewy bodies. One subject with PD developed MCI, but not dementia.DiscussionOur findings from the population‐based sample of Olmsted County, Minnesota, residents suggest that a substantial number of RBD patients tend to develop overt synucleinopathy features over time, and RBD patients who develop MCI and subsequent dementia have clinical features most consistent with dementia with Lewy bodies.
O5‐02‐01: Longitudinal Clinical and Biomarker Changes in Dominantly Inherited Alzheimer's Disease: The Dominantly Inherited Alzheimer Network

Alzheimer's & Dementia | October 17, 2016 | Volume: 12 | Issue: 7S_Part_7 | Pages: No page available

10.1016/j.jalz.2016.06.710

O3‐09‐05: The Dian‐Nacc UDS Comparison Study: Rates of Cognitive Decline

Alzheimer's & Dementia | October 17, 2016 | Volume: 12 | Issue: 7S_Part_6 | Pages: No page available

10.1016/j.jalz.2016.06.559

F5‐02‐03: BDNF VAL66MET Moderates Cognitive Impairment, Neuronal Dysfunction and TAU in Preclinical Autosomal Dominant Alzheimer's Disease

Alzheimer's & Dementia | October 17, 2016 | Volume: 12 | Issue: 7S_Part_7 | Pages: No page available

10.1016/j.jalz.2016.06.689

O2‐03‐02: are White Matter Hyperintensities a Core Feature of Alzheimer’s Disease or Just a Reflection of Amyloid Angiopathy? Evidence From the Dominantly Inherited Alzheimer Network (DIAN)

Alzheimer's & Dementia | October 17, 2016 | Volume: 12 | Issue: 7S_Part_4 | Pages: No page available

10.1016/j.jalz.2016.06.406

White matter hyperintensities are a core feature of Alzheimer's disease: Evidence from the dominantly inherited Alzheimer network

Annals of Neurology | March 26, 2016 | Volume: 79 | Issue: 6 | Pages: 929-939

10.1002/ana.24647 | PMID 27016429

ObjectiveWhite matter hyperintensities (WMHs) are areas of increased signal on T2‐weighted magnetic resonance imaging (MRI) scans that most commonly reflect small vessel cerebrovascular disease. Increased WMH volume is associated with risk and progression of Alzheimer's disease (AD). These observations are typically interpreted as evidence that vascular abnormalities play an additive, independent role contributing to symptom presentation, but not core features of AD. We examined the severity and distribution of WMH in presymptomatic PSEN1, PSEN2, and APP mutation carriers to determine the extent to which WMH manifest in individuals genetically determined to develop AD.MethodsThe study comprised participants (n = 299; age = 39.03 ± 10.13) from the Dominantly Inherited Alzheimer Network, including 184 (61.5%) with a mutation that results in AD and 115 (38.5%) first‐degree relatives who were noncarrier controls. We calculated the estimated years from expected symptom onset (EYO) by subtracting the affected parent's symptom onset age from the participant's age. Baseline MRI data were analyzed for total and regional WMH. Mixed‐effects piece‐wise linear regression was used to examine WMH differences between carriers and noncarriers with respect to EYO.ResultsMutation carriers had greater total WMH volumes, which appeared to increase approximately 6 years before expected symptom onset. Effects were most prominent for the parietal and occipital lobe, which showed divergent effects as early as 22 years before estimated onset.InterpretationAutosomal‐dominant AD is associated with increased WMH well before expected symptom onset. The findings suggest the possibility that WMHs are a core feature of AD, a potential therapeutic target, and a factor that should be integrated into pathogenic models of the disease. Ann Neurol 2016;79:929–939
Cerebral amyloidosis associated with cognitive decline in autosomal dominant Alzheimer disease

Neurology | August 6, 2015 | Volume: 85 | Issue: 9 | Pages: 790-798

10.1212/wnl.0000000000001903 | PMID 26245925

Factors Associated With the Onset and Persistence of Post–Lumbar Puncture Headache

JAMA Neurology | January 26, 2015 | Volume: 72 | Issue: 3 | Pages: 325

10.1001/jamaneurol.2014.3974 | PMID 25622095

Functional Connectivity in Autosomal Dominant and Late-Onset Alzheimer Disease

JAMA Neurology | July 28, 2014 | Volume: 71 | Issue: 9 | Pages: 1111

10.1001/jamaneurol.2014.1654 | PMID 25069482

Regional variability of imaging biomarkers in autosomal dominant Alzheimer’s disease

Proceedings of the National Academy of Sciences | November 5, 2013 | Volume: 110 | Issue: 47 | Pages: No page available

10.1073/pnas.1317918110 | PMID 24194552

Significance Beta-amyloid plaque accumulation, glucose hypometabolism, and neuronal atrophy are hallmarks of Alzheimer’s disease. However, the regional ordering of these biomarkers prior to dementia remains untested. In a cohort with Alzheimer’s disease mutations, we performed an integrated whole-brain analysis of three major imaging techniques: amyloid PET, [ 18 F]fluro-deoxyglucose PET, and structural MRI. We found that most gray-matter structures with amyloid plaques later have hypometabolism followed by atrophy. Critically, however, not all regions lose metabolic function, and not all regions atrophy, even when there is significant amyloid deposition. These regional disparities have important implications for clinical trials of disease-modifying therapies.