Vemuri, Prashanthi

AbstractIntroductionTau‐positron emission tomography (PET) imaging with AV1451 is sensitive to Alzheimer disease (AD)–related tau deposition in the brain. We (1) examined regional variation of average tau‐PET standardized uptake value ratios (SUVRs) in a young normal population (30–49 years) and corrected for the regional variability and (2) tested if the standardized values (z‐scores) scaled appropriately to capture regional Alzheimer‐specific (i.e., amyloid sensitive) tau‐PET changes in individuals aged 50+ years.MethodsWe identified 490 individuals (70 between 30–49 years as a reference group and 420 cognitively normal between 50–95 years of age) with tau‐PET and amyloid PET scans from the Mayo Clinic Study of Aging.ResultsThere was intrinsic regional variability in average tau‐PET SUVR with uptakes higher in some regions than others, even in the younger individuals who would have minimal or no neurofibrillary tangles. We corrected for this using region of interest–specific z‐scores based on the reference group. Amyloid and tau‐PET uptake were associated throughout the brain after adjusting for age, with the highest correlations in the medial temporal regions.DiscussionRegions with high‐average SUVR are not necessarily those with the greatest tau pathology. Standardization is therefore recommended. Standardization of the data “realigns” the data such that the regional tau z‐scores are informative of the disease process, that is, regions with high z‐scores now coincide with regions correlated with amyloid deposition. Medial temporal structures, specifically entorhinal cortex–tau, may be useful as an AD‐specific tau‐PET signature due to its sensitivity to amyloid.

AbstractCerebrovascular pathologies (CVPs) are common pathologies associated with age‐related cognitive decline along with Alzheimer disease pathologies. The impact of CVP on the prevalence of dementia is increasingly being recognized. The goal of this review is to improve our understanding of the pathophysiological underpinnings and the multimodal magnetic resonance imaging and positron emission tomography imaging changes that are associated with the hallmarks of CVP. This knowledge will facilitate the development of early detection, intervention, and prevention strategies that may contribute to lowering the risk of dementia. In this review, we will first discuss currently known risk factors of CVPs including cardiovascular, lifestyle, genetic, sex differences, and head injury. Next, we will focus on the pathophysiology of CVPs and their impact on neurodegeneration and downstream cognitive impairment. Specifically, we will discuss three of the most common cerebrovascular lesions seen on MRI: white‐matter hyperintensity, microbleeds, and infarcts. Finally, we will discuss the unanswered open questions in this field.

Objectives To determine the cross‐sectional association between cerebral amyloid‐beta (A β ) deposition and gait. Design Cross‐sectional. Setting Population‐based cohort study in Olmsted County, MN . Participants Cognitively normal individuals (n = 611), aged 50 to 69 years, enrolled in the Mayo Clinic Study of Aging with concurrent PiB‐ PET imaging and gait assessment. Participants with a history of stroke, alcoholism, Parkinson's disease, subdural hematoma, traumatic brain injury, or normal pressure hydrocephalus were excluded. Measurements PiB‐ PET SUVR was measured in prefrontal, orbitofrontal, parietal, temporal, anterior cingulate, posterior cingulate, and motor‐specific regions of interest ( ROI s). Gait parameters (speed, cadence, stride length, double support time, and intra‐individual stance time variability) were measured using GAITR ite ® instrumentation. Linear regression models were adjusted for age, sex, body mass index, education, APOE ε 4 allele, Charlson comorbidity index, and depression. In secondary analyses, we additionally adjusted for neurodegeneration (hippocampal volume, FDG PET SUVR , and cortical thickness) in AD ‐associated regions. Results In fully adjusted models including neuroimaging measures of neurodegeneration, higher PiB‐ PET SUVR across all ROI s was associated with slower gait speed ( P < .05 except for the parietal ROI ), lower cadence and longer double support time ( P ≤ .05 except for the motor ROI ), and greater stance time variability ( P < .05). In sex‐stratified analyses, the association between higher PiB‐ PET SUVR across all ROI s and measures of gait was only present among women. Conclusion PiB‐ PET SUVR across ROI s, independent of general measures of AD ‐associated neurodegeneration, is associated with poorer performance on multiple gait parameters among cognitively normal women, aged 50 to 69 years. Longitudinal studies are needed to determine whether A β predicts gait decline in both women and men.

Abstract Introduction Our goal was to develop cut points for amyloid positron emission tomography (PET), tau PET, flouro‐deoxyglucose (FDG) PET, and MRI cortical thickness. Methods We examined five methods for determining cut points. Results The reliable worsening method produced a cut point only for amyloid PET. The specificity, sensitivity, and accuracy of cognitively impaired versus young clinically normal (CN) methods labeled the most people abnormal and all gave similar cut points for tau PET, FDG PET, and cortical thickness. Cut points defined using the accuracy of cognitively impaired versus age‐matched CN method labeled fewer people abnormal. Discussion In the future, we will use a single cut point for amyloid PET (standardized uptake value ratio, 1.42; centiloid, 19) based on the reliable worsening cut point method. We will base lenient cut points for tau PET, FDG PET, and cortical thickness on the accuracy of cognitively impaired versus young CN method and base conservative cut points on the accuracy of cognitively impaired versus age‐matched CN method.

AbstractIntroductionThe Mediterranean diet (MeDi) is associated with reduced risk of cognitive impairment, but it is unclear whether it is associated with better brain imaging biomarkers.MethodsAmong 672 cognitively normal participants (mean age, 79.8 years, 52.5% men), we investigated associations of MeDi score and MeDi components with magnetic resonance imaging measures of cortical thickness for the four lobes separately and averaged (average lobar).ResultsHigher MeDi score was associated with larger frontal, parietal, occipital, and average lobar cortical thickness. Higher legume and fish intakes were associated with larger cortical thickness: legumes with larger superior parietal, inferior parietal, precuneus, parietal, occipital, lingual, and fish with larger precuneus, superior parietal, posterior cingulate, parietal, and inferior parietal. Higher carbohydrate and sugar intakes were associated with lower entorhinal cortical thickness.DiscussionIn this sample of elderly persons, higher adherence to MeDi was associated with larger cortical thickness. These cross‐sectional findings require validation in prospective studies.