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Sperling, Reisa Anne

0000-0003-1535-6133

A5001795846 | I136199984

Mayo Clinic

Harvard University

Citations 94

[FTS3–02–01]: 2017 NIA‐AA RESEARCH FRAMEWORK TO INVESTIGATE THE ALZHEIMER's DISEASE CONTINUUM

Alzheimer's & Dementia | October 20, 2017 | Volume: 13 | Issue: 7S_Part_18 | Pages: No page available

10.1016/j.jalz.2017.07.294

[O1–02–05]: GENOTYPIC VARIANCE MAY EXPLAIN THE BALANCE OF EARLY CORTICAL VERSUS STRIATAL AMYLOID DEPOSITION IN AUTOSOMAL DOMINANT AD

Alzheimer's & Dementia | October 20, 2017 | Volume: 13 | Issue: 7S_Part_3 | Pages: No page available

10.1016/j.jalz.2017.07.043

Presymptomatic atrophy in autosomal dominant Alzheimer's disease: A serial magnetic resonance imaging study

Alzheimer's & Dementia | July 22, 2017 | Volume: 14 | Issue: 1 | Pages: 43-53

10.1016/j.jalz.2017.06.2268 | PMID 28738187

Abstract Introduction Identifying at what point atrophy rates first change in Alzheimer's disease is important for informing design of presymptomatic trials. Methods Serial T1‐weighted magnetic resonance imaging scans of 94 participants (28 noncarriers, 66 carriers) from the Dominantly Inherited Alzheimer Network were used to measure brain, ventricular, and hippocampal atrophy rates. For each structure, nonlinear mixed‐effects models estimated the change‐points when atrophy rates deviate from normal and the rates of change before and after this point. Results Atrophy increased after the change‐point, which occurred 1–1.5 years (assuming a single step change in atrophy rate) or 3–8 years (assuming gradual acceleration of atrophy) before expected symptom onset. At expected symptom onset, estimated atrophy rates were at least 3.6 times than those before the change‐point. Discussion Atrophy rates are pathologically increased up to seven years before “expected onset”. During this period, atrophy rates may be useful for inclusion and tracking of disease progression.
Association Between Elevated Brain Amyloid and Subsequent Cognitive Decline Among Cognitively Normal Persons

JAMA | June 13, 2017 | Volume: 317 | Issue: 22 | Pages: 2305

10.1001/jama.2017.6669 | PMID 28609533

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

A/T/N: An unbiased descriptive classification scheme for Alzheimer disease biomarkers

Neurology | July 1, 2016 | Volume: 87 | Issue: 5 | Pages: 539-547

10.1212/wnl.0000000000002923 | PMID 27371494

Testing and disclosures related to amyloid imaging and Alzheimer's disease: Common questions and fact sheet summary

Alzheimer's & Dementia | April 21, 2016 | Volume: 12 | Issue: 4 | Pages: 510-515

10.1016/j.jalz.2016.03.002 | PMID 27103054

Abstract Alzheimer's disease research has often focused on the molecular brain changes that promote memory loss and other dementia‐related cognitive impairments. Many studies, for example, have used positron emission tomography (PET) imaging to measure brain levels of the beta‐amyloid protein, a key molecular suspect in Alzheimer's. In recent years, PET scans have become more prominent in clinical settings. Clinicians may use a positive PET scan—that is, a significant presence of beta‐amyloid plaques in the brain—to help determine a diagnosis of Alzheimer's disease. Yet, because beta‐amyloid PET remains a fairly new diagnostic tool, physicians and patients still have many basic questions about how and why it is used. This article addresses some of those questions. It explains what PET scans actually show, how they are employed in research and clinical trials, and when they should and should not be used to help diagnose Alzheimer's in everyday patients. The article also discusses whether cognitively healthy people should request PET scans to assess their risk for developing dementia. Information in the text will be updated in future years, as diagnostic imaging techniques for Alzheimer's disease continue to evolve.
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
Preclinical Alzheimer's disease: Definition, natural history, and diagnostic criteria

Alzheimer's & Dementia | March 21, 2016 | Volume: 12 | Issue: 3 | Pages: 292-323

10.1016/j.jalz.2016.02.002 | PMID 27012484

Abstract During the past decade, a conceptual shift occurred in the field of Alzheimer's disease (AD) considering the disease as a continuum. Thanks to evolving biomarker research and substantial discoveries, it is now possible to identify the disease even at the preclinical stage before the occurrence of the first clinical symptoms. This preclinical stage of AD has become a major research focus as the field postulates that early intervention may offer the best chance of therapeutic success. To date, very little evidence is established on this “silent” stage of the disease. A clarification is needed about the definitions and lexicon, the limits, the natural history, the markers of progression, and the ethical consequence of detecting the disease at this asymptomatic stage. This article is aimed at addressing all the different issues by providing for each of them an updated review of the literature and evidence, with practical recommendations.
P1‐319: Alzheimer's prevention registry: A shared resource to the scientific community to facilitate enrollment in studies

Alzheimer's & Dementia | December 15, 2015 | Volume: 11 | Issue: 7S_Part_10 | Pages: No page available

10.1016/j.jalz.2015.06.534