Citations 1310

[IC‐P‐021]: INVESTIGATION OF PITTSBURGH COMPOUND‐B BINDING IN WHITE MATTER HYPERINTENSITIES

Alzheimer's & Dementia | October 20, 2017 | Volume: 13 | Issue: 7S_Part_1 | Pages: No page available

10.1016/j.jalz.2017.06.2293

[P4–531]: TDP‐43 DRIVES FASTER RATES OF HIPPOCAMPAL ATROPHY IN ALZHEIMER's DISEASE STARTING AT LEAST 10 YEARS PRIOR TO DEATH

Alzheimer's & Dementia | October 20, 2017 | Volume: 13 | Issue: 7S_Part_32 | Pages: No page available

10.1016/j.jalz.2017.07.693

[O4–04–05]: CEREBRAL MICROBLEEDS AND AMYLOID BURDEN: THE MAYO CLINIC STUDY OF AGING

Alzheimer's & Dementia | October 20, 2017 | Volume: 13 | Issue: 7S_Part_25 | Pages: No page available

10.1016/j.jalz.2017.07.440

[P1–457]: LONGITUDINAL ASSOCIATIONS BETWEEN CEREBRAL AMYLOID DEPOSITION, CORTICAL THICKNESS, AND GAIT IN THE MAYO CLINIC STUDY OF AGING

Alzheimer's & Dementia | October 20, 2017 | Volume: 13 | Issue: 7S_Part_9 | Pages: No page available

10.1016/j.jalz.2017.06.473

[P1–336]: DECLINE IN INSTRUMENTAL ACTIVITIES OF DAILY LIVING IS MORE MARKED IN BEHAVIOURAL VARIANT FRONTOTEMPORAL DEMENTIA THAN IN ALZHEIMER's DISEASE

Alzheimer's & Dementia | October 20, 2017 | Volume: 13 | Issue: 7S_Part_8 | Pages: No page available

10.1016/j.jalz.2017.06.352

[P3–343]: INVESTIGATION OF PITTSBURGH COMPOUND‐B BINDING IN WHITE MATTER HYPERINTENSITIES

Alzheimer's & Dementia | October 20, 2017 | Volume: 13 | Issue: 7S_Part_22 | Pages: No page available

10.1016/j.jalz.2017.06.1558

Weighting and standardization of frequencies to determine prevalence of AD imaging biomarkers

Neurology | October 14, 2017 | Volume: 89 | Issue: 20 | Pages: 2039-2048

10.1212/wnl.0000000000004652 | PMID 29030451

Neuroimaging Correlates of Cerebral Microbleeds

Stroke | October 11, 2017 | Volume: 48 | Issue: 11 | Pages: 2964-2972

10.1161/strokeaha.117.018336 | PMID 29018129

Background and Purpose— Cerebral microbleed (CMB) location (deep versus strictly lobar) may elucidate underlying pathology with deep CMBs being more associated with hypertensive vascular disease and lobar CMBs being more associated with cerebral amyloid angiopathy. The objective of this study was to determine whether neuroimaging signs of vascular disease and Alzheimer pathology are associated with different types of CMBs. Methods— Among 1677 nondemented ARIC (Atherosclerosis Risk in Communities) participants (mean age=76±5 years; 40% men; 26% black) with 3-Tesla MRI scans at the fifth examination (2011–2013), we fit multinomial logistic regression models to quantify relationships of brain volumes (Alzheimer disease signature regions, total gray matter, frontal gray matter, and white matter hyperintensity volumes), infarct frequencies (lacunar, nonlacunar, and total), and apolipoprotein E (number of ε4 alleles) with CMB location (none, deep/mixed, or strictly lobar CMBs). Models were weighted for the sample selection scheme and adjusted for age, sex, education, hypertension, ever smoking status, diabetes mellitus, race site membership, and estimated intracranial volume (brain volume models only). Results— Deep/mixed and strictly lobar CMBs had prevalences of 8% and 16%, respectively. Larger white matter hyperintensity burden, greater total infarct frequency, smaller frontal volumes (in women only), and smaller total gray matter volume were associated with greater risk of both deep and lobar CMBs relative to no CMBs. Greater white matter hyperintensity volume was also associated with greater risk of deep relative to lobar CMBs. Higher lacunar and nonlacunar infarct frequencies were associated with higher risk of deep CMBs, whereas smaller Alzheimer disease signature region volume and apolipoprotein E ε4 homozygosity were associated with greater risk of lobar CMBs. Conclusions— CMBs are a common vascular pathology in the elderly. Markers of hypertensive small-vessel disease may contribute to deep CMBs while cerebral amyloid angiopathy may drive development of lobar CMBs.
Age, vascular health, and Alzheimer disease biomarkers in an elderly sample

Annals of Neurology | October 10, 2017 | Volume: 82 | Issue: 5 | Pages: 706-718

10.1002/ana.25071 | PMID 29023983

Objective To investigate the associations between age, vascular health, and Alzheimer disease (AD) imaging biomarkers in an elderly sample. Methods We identified 430 individuals along the cognitive continuum aged >60 years with amyloid positron emission tomography (PET), tau PET, and magnetic resonance imaging (MRI) scans from the population‐based Mayo Clinic Study of Aging. A subset of 329 individuals had fluorodeoxyglucose (FDG) PET. We ascertained presently existing cardiovascular and metabolic conditions (CMC) from health care records and used the summation of presence/absence of hypertension, hyperlipidemia, cardiac arrhythmias, coronary artery disease, congestive heart failure, diabetes mellitus, and stroke as a surrogate for vascular health. We used global amyloid from Pittsburgh compound B PET, entorhinal cortex tau uptake (ERC‐tau) from tau‐PET, and neurodegeneration in AD signature regions from MRI and FDG‐PET as surrogates for AD pathophysiology. We dichotomized participants into CMC = 0 (CMC − ) versus CMC > 0 (CMC + ) and tested for age‐adjusted group differences in AD biomarkers. Using structural equation models (SEMs), we assessed the impact of vascular health on AD biomarker cascade (amyloid leads to tau leads to neurodegeneration) after considering the direct and indirect age, sex, and apolipoprotein E effects. Results CMC + participants had significantly greater neurodegeneration than CMC − participants but did not differ by amyloid or ERC‐tau. The SEMs showed that (1) vascular health had a significant direct and indirect impact on neurodegeneration but not on amyloid; and (2) vascular health, specifically the presence of hyperlipidemia, had a significant direct impact on ERC‐tau. Interpretation Vascular health had quantifiably greater impact on neurodegeneration in AD regions than on amyloid deposition. Longitudinal studies are warranted to clarify the relationship between tau deposition and vascular health. Ann Neurol 2017;82:706–718
Diabetes, Prediabetes, and Brain Volumes and Subclinical Cerebrovascular Disease on MRI: The Atherosclerosis Risk in Communities Neurocognitive Study (ARIC-NCS)

Diabetes Care | September 15, 2017 | Volume: 40 | Issue: 11 | Pages: 1514-1521

10.2337/dc17-1185 | PMID 28916531

OBJECTIVE To examine the associations of prediabetes, diabetes, and diabetes severity (as assessed by HbA1c and diabetes duration) with brain volumes and vascular pathology on brain MRI and to assess whether the associations of diabetes with brain volumes are mediated by brain vascular pathology. RESEARCH DESIGN AND METHODS Cross-sectional study of 1,713 participants in the Atherosclerosis Risk in Communities Neurocognitive Study (ARIC-NCS) (mean age 75 years, 60% female, 27% black, 30% prediabetes, and 35% diabetes) who underwent 3T brain MRI scans in 2011–2013. Participants were categorized by diabetes-HbA1c status as without diabetes (<5.7% [reference]), with prediabetes (5.7 to <6.5%), and with diabetes ([defined as prior diagnosis or HbA1c ≥6.5%] <7.0% vs. ≥7.0%), with further stratification by diabetes duration (<10 vs. ≥10 years). RESULTS In adjusted analyses, compared with participants without diabetes and HbA1c <5.7%, participants with prediabetes and those with diabetes and HbA1c <7.0% did not have significantly different brain volumes or vascular pathology (all P > 0.05), but those with diabetes and HbA1c ≥7.0% had smaller total brain volume (β −0.20 SDs, 95% CI −0.31, −0.09), smaller regional brain volumes (including frontal, temporal, occipital, and parietal lobes; deep gray matter; Alzheimer disease signature region; and hippocampus [all P < 0.05]), and increased burden of white matter hyperintensities (WMH) (P = 0.016). Among participants with diabetes, those with HbA1c ≥7.0% had smaller total and regional brain volumes and an increased burden of WMH (all P < 0.05) compared with those with HbA1c <7.0%. Similarly, participants with longer duration of diabetes (≥10 years) had smaller brain volumes and higher burden of lacunes (all P < 0.05) than those with a diabetes duration <10 years. We found no evidence for mediation by WMH in associations of diabetes with smaller brain volumes by structural equation models (all P > 0.05). CONCLUSIONS More-severe diabetes (defined by higher HbA1c and longer disease duration) but not prediabetes or less-severe diabetes was associated with smaller brain volumes and an increased burden of brain vascular pathology. No evidence was found that associations of diabetes with smaller brain volumes are mediated by brain vascular pathology, suggesting that other mechanisms may be responsible for these associations.