Boeve, Bradley F.

AbstractIntroductionMedial temporal lobe (MTL) uptake on tau–positron emission tomography (PET) is seen not only in Alzheimer's disease (AD) dementia but also in the aging population. The relationship of these findings to the development of AD dementia needs to be better understood.MethodsTau‐PET with AV‐1451 was performed on 576 cognitively unimpaired (CU) participants aged 50–94 years. The number of CUs with and without abnormal MTL regions and those with or without extra‐MTL abnormalities was determined. Left and right regions were compared within each subject.ResultsOf CUs, 58% (334/576) had abnormal tau‐PET findings. MTL abnormalities were present in 41% (238/576) of subjects.DiscussionMTL tau‐PET signal is often associated with abnormal extra‐MTL tau‐PET signal in CU participants and may represent neurofibrillary tangle development that could identify participants most likely to develop AD dementia. Tau‐PET signal exclusively outside of the MTL is seen in 17% of CU participants and could be the initial findings in participants in different AD dementia pathways. Significant (P < .001) differences in tau–standardized uptake value ratio between sides were noted in 26 of 41 examined brain regions implicating further study of side‐specific deficits.

AbstractThe relationship between clinicopathologic diagnosis and 123I‐FP‐CIT SPECT in 18 patients with dementia (12 with Lewy body disease) from one center in the United States was assessed. The sensitivity and specificity of abnormal 123I‐FP‐CIT SPECT with reduced striatal uptake on visual inspection for predicting Lewy body disease were 91.7% and 83.3%, respectively. The mean calculated putamen to occipital ratio (mPOR) based on regions of interest was significantly reduced in Lewy body disease compared to non‐Lewy body disease cases (P = 0.002). In this study, abnormal 123I‐FP‐CIT SPECT was strongly associated with underlying Lewy body disease pathology, supporting the utility of 123I‐FP‐CIT SPECT in the clinical diagnosis of dementia with Lewy bodies.

ObjectiveTo use a cluster analysis of [18F]AV‐1451 tau‐PET data to determine how subjects with Alzheimer's disease (AD) vary in the relative involvement of the entorhinal cortex and neocortex, and determine whether relative involvement of these two regions can help explain variability in age and clinical phenotype in AD.MethodsWe calculated [18F]AV‐1451 uptake in entorhinal cortex and neocortex in 62 amyloid‐positive AD patients (39 typical and 23 atypical presentation). tau‐PET (positron emission tomography) values were normalized to the cerebellum to create standard uptake value ratios (SUVRs). tau‐PET SUVRs were log‐transformed and clustered blinded to clinical information into three groups using K‐median cluster analysis. Demographics, clinical phenotype, cognitive performance, and apolipoprotein e4 frequency were compared across clusters.ResultsThe cluster analysis identified a cluster with low entorhinal and cortical uptake (ELo/CLo), one with low entorhinal but high cortical uptake (ELo/CHi), and one with high cortical and entorhinal uptake (EHi/CHi). Clinical phenotype differed across clusters, with typical AD most commonly observed in the ELo/CLo and EHi/CHi clusters, and atypical AD most commonly observed in the ELo/CHi cluster. The ELo/CLo cluster had an older age at PET and onset than the other clusters. Apolipoprotein e4 frequency was lower in the ELo/CHi cluster. The EHi/CHi cluster had the worst memory impairment, whereas the ELo/CHi cluster had the worst impairment in nonmemory domains.InterpretationThis study demonstrates considerable variability in [18F]AV‐1451 tau‐PET uptake in AD, but shows that a straightforward clustering based on entorhinal and cortical uptake maps well onto age and clinical presentation in AD. Ann Neurol 2018 Ann Neurol 2018;83:248–257

Objective To evaluate the incidence and prevalence of autoimmune encephalitis and compare it to that of infectious encephalitis. Methods We performed a population‐based comparative study of the incidence and prevalence of autoimmune and infectious encephalitis in Olmsted County, Minnesota. Autoimmune encephalitis diagnosis and subgroups were defined by 2016 diagnostic criteria, and infectious encephalitis diagnosis required a confirmed infectious pathogen. Age‐ and sex‐adjusted prevalence and incidence rates were calculated. Patients with encephalitis of uncertain etiology were excluded. Results The prevalence of autoimmune encephalitis on January 1, 2014 of 13.7/100,000 was not significantly different from that of all infectious encephalitides (11.6/100,000; p = 0.63) or the viral subcategory (8.3/100,000; p = 0.17). The incidence rates (1995–2015) of autoimmune and infectious encephalitis were 0.8/100,000 and 1.0/100,000 person‐years, respectively ( p = 0.58). The number of relapses or recurrent hospitalizations was higher for autoimmune than infectious encephalitis ( p = 0.03). The incidence of autoimmune encephalitis increased over time from 0.4/100,000 person‐years (1995–2005) to 1.2/100,000 person‐years (2006–2015; p = 0.02), attributable to increased detection of autoantibody‐positive cases. The incidence (2.8 vs 0.7/100,000 person‐years, p = 0.01) and prevalence (38.3 vs 13.7/100,000, p = 0.04) of autoimmune encephalitis was higher among African Americans than Caucasians. The prevalence of specific neural autoantibodies was as follows: myelin oligodendrocyte glycoprotein, 1.9/100,000; glutamic acid decarboxylase 65, 1.9/100,000; unclassified neural autoantibody, 1.4/100,000; leucine‐rich glioma‐inactivated protein 1, 0.7/100,000; collapsin response‐mediator protein 5, 0.7/100,000; N‐methyl‐D‐aspartate receptor, 0.6/100,000; antineuronal nuclear antibody type 2, 0.6/100,000; and glial fibrillary acidic protein α, 0.6/100,000. Interpretation This study shows that the prevalence and incidence of autoimmune encephalitis are comparable to infectious encephalitis, and its detection is increasing over time. Ann Neurol 2018;83:166–177

AbstractIntroductionWe sought to assess the individual and combined contribution of limbic and neocortical α‐synuclein, tau, and amyloid β (Aβ) to duration of illness in dementia with Lewy bodies (DLB).MethodsQuantitative digital pathology of limbic and neocortical α‐synuclein, tau, and Aβ was assessed in 49 patients with clinically probable DLB. Regression modeling examined the unique and shared contribution of each pathology to the variance of illness duration.ResultsPatients with diffuse Lewy body disease had more severe pathology of each type and a shorter duration of illness than individuals with transitional Lewy body disease. The three pathologies accounted for 25% of the total variance of duration of illness, with 19% accounted for by α‐synuclein alone or in combination with tau and Aβ. When the diffuse Lewy body disease group was examined separately, α‐synuclein deposition significantly exceeded that of tau and Aβ. In this model, 20% of 24% total variance in the model for duration of illness was accounted for independently by α‐synuclein.DiscussionIn DLB, α‐synuclein is an important predictor of disease duration, both independently and synergistically with tau and Aβ.