Whitwell, Jennifer L.

AbstractIntroductionApolipoprotein E (APOE) ε4 is an important genetic risk factor for typical Alzheimer's disease (AD), influencing brain volume and tau burden. Little is known about its influence in atypical presentations of AD.MethodsAn atypical AD cohort of 140 patients diagnosed with either posterior cortical atrophy or logopenic progressive aphasia underwent magnetic resonance imaging and positron emission tomography. Linear mixed effects models were fit to assess the influence of APOE ε4 on cross‐sectional and longitudinal regional metrics.ResultsAt baseline, APOE ε4 carriers had smaller hippocampal and amygdala volumes and greater tau standardized uptake volume ratio in the hippocampus and entorhinal cortex compared to non‐carriers while longitudinally, APOE ε4 non‐carriers showed faster rates of atrophy and tau accumulation in the entorhinal cortex, with faster tau accumulation in the hippocampus.DiscussionAPOE ε4 influences patterns of neurodegeneration and tau deposition and was associated with more medial temporal involvement, although there is evidence that non‐carriers may be catching up over time.

Abstract Primary four-repeat tauopathies are characterized by depositions of the four-repeat isoform of the microtubule binding protein, tau. The two most common sporadic four-repeat tauopathies are progressive supranuclear palsy and corticobasal degeneration. Because tau PET tracers exhibit poor binding affinity to four-repeat pathology, determining how well in vivo MRI findings relate to underlying pathology is critical to evaluating their utility as surrogate markers to aid in diagnosis and as outcome measures for clinical trials. We studied the relationship of cross-sectional imaging findings, such as MRI volume loss and diffusion tensor imaging white matter tract abnormalities, to tau histopathology in four-repeat tauopathies. Forty-seven patients with antemortem 3 T MRI volumetric and diffusion tensor imaging scans plus post-mortem pathological diagnosis of a four-repeat tauopathy (28 progressive supranuclear palsy; 19 corticobasal degeneration) were included in the study. Tau lesion types (pretangles/neurofibrillary tangles, neuropil threads, coiled bodies, astrocytic lesions) were semiquantitatively graded in disease-specific cortical, subcortical and brainstem regions. Antemortem regional volumes, fractional anisotropy and mean diffusivity were modelled using linear regression with post-mortem tau lesion scores considered separately, based on cellular type (neuronal versus glial), or summed (total tau). Results showed that greater total tau burden was associated with volume loss in the subthalamic nucleus (P = 0.001), midbrain (P < 0.001), substantia nigra (P = 0.03) and red nucleus (P = 0.004), with glial lesions substantially driving the associations. Decreased fractional anisotropy and increased mean diffusivity in the superior cerebellar peduncle correlated with glial tau in the cerebellar dentate (P = 0.04 and P = 0.02, respectively) and red nucleus (P < 0.001 for both). Total tau and glial pathology also correlated with increased mean diffusivity in the midbrain (P = 0.02 and P < 0.001, respectively). Finally, increased subcortical white matter mean diffusivity was associated with total tau in superior frontal and precentral cortices (each, P = 0.02). Overall, results showed clear relationships between antemortem MRI changes and pathology in four-repeat tauopathies. Our findings show that brain volume could be a useful surrogate marker of tau pathology in subcortical and brainstem regions, whereas white matter integrity could be a useful marker of tau pathology in cortical regions. Our findings also suggested an important role of glial tau lesions in the pathogenesis of neurodegeneration in four-repeat tauopathies. Thus, development of tau PET tracers selectively binding to glial tau lesions could potentially uncover mechanisms of disease progression.

AbstractBackgroundPosterior cortical atrophy (PCA) is one of the atypical Alzheimer's disease variants, characterized by predominant visuospatial and visuoperceptual deficits, with established dorsal and ventral subtypes. A third primary occipital (caudal) variant has been suggested. We aimed to determine its demographics, clinical manifestations, and biomarker findings.MethodsFifty‐two PCA patients were investigated. Patients underwent neuropsychological assessment, magnetic resonance imaging, and fluorodeoxyglucose (FDG)‐, amyloid‐, and tau‐positron emission tomography (tau‐PET) scans. Normalized regional FDG‐PET values were represented as z‐scores relative to a control population. Patients were divided into “primary occipital” and “other PCA” subgroups according to FDG‐PET‐defined criteria, with primary occipital defined as patients in which the z‐scores for occipital subregions were at least one standard deviation lower (SD) (i.e., more abnormal) than the z‐scores in all other brain regions. Global amyloid‐PET, temporo‐parietal FDG‐PET, and temporal tau‐PET regions‐of‐interest (ROIs) were calculated.ResultsNine patients were classified as primary occipital; they were older (p = 0.034) and had more years of education (p = 0.007) than other PCA patients. The primary occipital group performed worse on the Ishihara test for color perception (p < 0.001), while other PCA patients performed worse on the Western Aphasia Battery (WAB) praxis scale (p = 0.005). Overall neuropsychiatric symptom burden was lower in the primary occipital group (p < 0.001). The FDG‐PET meta‐ROI was higher in the primary occipital subtype (p = 0.006), but no differences were observed in amyloid‐ and tau‐PET.ConclusionsOur findings suggest that primary occipital PCA is characterized by an older age at onset, more color perception dysfunction, less severe ideomotor apraxia, and less hypometabolism in temporo‐parietal meta‐ROI compared to established phenotypes.

The objective of this study was to characterize network-level changes in nonfluent/agrammatic Primary Progressive Aphasia (agPPA) and Primary Progressive Apraxia of Speech (PPAOS) with graph theory (GT) measures derived from scalp electroencephalography (EEG) recordings. EEGs of 15 agPPA and 7 PPAOS patients were collected during relaxed wakefulness with eyes closed (21 electrodes, 10–20 positions, 256 Hz sampling rate, 1–200 Hz bandpass filter). Eight artifact-free, non-overlapping 1024-point epochs were selected. Via Brainwave software, GT weighted connectivity and minimum spanning tree (MST) measures were calculated for theta and upper and lower alpha frequency bands. Differences in GT and MST measures between agPPA and PPAOS were assessed with Wilcoxon rank-sum tests. Of greatest interest, Spearman correlations were computed between behavioral and network measures in all frequency bands across all patients. There were no statistically significant differences in GT or MST measures between agPPA and PPAOS. There were significant correlations between several network and behavioral variables. The correlations demonstrate a relationship between reduced global efficiency and clinical symptom severity (e.g., parkinsonism, AOS). This preliminary, exploratory study demonstrates potential for EEG GT measures to quantify network changes associated with degenerative speech–language disorders.

AbstractBackgroundDiagnosing Alzheimer’s disease (AD) with biomarkers requires evidence of abnormal beta‐amyloid (Aβ) and tau. Individuals that are Aβ‐positive, but tau‐negative, are considered to have AD neuropathologic change, or early AD. The objective of this study was to determine whether some Aβ‐positive but tau‐negative individuals remain tau‐negative 5‐years later and describe the characteristics of such individuals.MethodWe identified 45 individuals from ADNI who were Aβ‐positive but tau‐negative on PET more than five years after their first abnormal Aβ‐PET (Amyloid+ Low Tau, ALT group). For comparison, we identified 157 Aβ‐positive individuals that had abnormal tau‐PET within five years of their first abnormal Aβ‐PET (i.e. biomarker‐AD). Aβ‐positivity was determined by ADNI‐provided cut‐points of 1.11 for AV45 and 1.08 for florbetapir. A negative tau‐PET scan was defined using Gaussian mixture modeling.ResultThe ALT and biomarker‐AD groups were similar in terms of sex and age at the time of their first Aβ‐PET scan. However, the ALT group was characterized by a lower proportion of APOE ε4 carriers (31% versus 67%, p<0.001), a lower median centiloid (36 versus 85, p<0.001, Figure) and lower likelihood of having a dementia diagnosis at first Aβ PET (2% versus 22%, p<0.001) compared to the biomarker‐AD group. The ALT group also performed better on tests of general cognition and had larger hippocampal volume compared to biomarker‐AD (p<0.001 for all). APOE ε4 status, centiloid and hippocampal volume were all associated with increased odds of elevated tau within 5 years from baseline Aβ‐PET (Table). Within the ALT group, 19 (42%) had high centiloid (>40): these individuals did not differ from the <40 centiloid individuals in clinical diagnosis, but there was some indication of a higher APOE ε4 frequency (42% versus 23%; p=0.30).ConclusionAmyloid‐positive individuals can remain tau‐negative for at least five years, and without becoming demented. Baseline characteristics can help identify these ALT individuals that have a low risk of progression. These findings beg the question of whether more conservative Aβ cut‐points are required for diagnosis of individuals with a high risk of developing AD.

AbstractBackgroundThe apolipoprotein ε4 (APOE4) allele is the most common and well established risk factor for typical late‐onset amnestic Alzheimer’s dementia. Less is known about the role of APOE in patients with atypical clinical presentations of AD, with studies often disagreeing on APOE4 frequencies in these cohorts. We aimed to assess relationships between APOE genotype and age, amyloid‐beta (Aβ) deposition and clinical phenotype in Alzheimer’s disease.Method138 atypical AD patients (57 posterior cortical atrophy and 81 logopenic aphasia) were recruited by the Neurodegenerative Research Group at Mayo Clinic, and underwent APOE testing and Pittsburgh Compound B PET. 318 typical AD patients with APOE genotype and known onset age were identified from ADNI (121 had Aβ‐PET). Aβ‐PET was quantified using the centiloid scale. Logistic regression was used to estimate the proportion of APOE4 carriers by onset age and clinical group. Linear regression was used to estimate mean Aβ centiloid by age, APOE4 status, and clinical group in patients who were Aβ‐positive (centiloid≥19).ResultThe overall frequency of APOE4 carriers was lower in atypical AD (52%) compared to typical AD (66%), particularly for ε4ε4 homozygotes (9% vs 20%). APOE4 frequency increased with age in atypical AD, but showed a bell‐shaped curve in typical AD where highest frequencies were observed between 65‐70 years (Figure). Typical AD showed higher APOE4 frequencies than atypical AD only between the ages of 57 and 69 years. Aβ centiloid was higher in atypical AD compared to typical AD by approximately 16 centiloid units, but did not differ according to APOE4 status (Figure). Aβ centiloid stayed relatively flat with increasing age for both carriers and non‐carriers in atypical AD, but declines with increasing age in typical AD. Relationships between APOE4 and age, as well as centiloid, did not differ between the two atypical AD phenotypes.ConclusionAPOE4 frequency differs between atypical and typical AD but is highly dependent upon age, with higher APOE4 frequency in typical AD only observed between 57 and 69 years. The findings highlight the importance of age and clinical phenotype in understanding the effects of APOE genotype in Alzheimer’s disease.

AbstractBackgroundDifferent clinical phenotypes of atypical AD are each associated with characteristic patterns of neurodegeneration and tau deposition on PET. However, longitudinal patterns of tau accumulation and atrophy dissociate and there is significant subject‐level heterogeneity in patterns of progression. We investigate the degree to which heterogeneity in tau progression and atrophy is related to age, apolipoprotein (APOE) genotype and clinical progression.MethodThe Neurodegenerative Research Group (NRG) recruited 138 atypical AD patients (posterior cortical atrophy [PCA] = 57, logopenic progressive aphasia [LPA] = 81), of which 57 underwent longitudinal 3T head MRI and [18F]flortaucipir PET. Region‐of‐interest and voxel‐level analyses were utilized to assess relationships between rates of both atrophy and flortaucipir accumulation with age and APOE ε4 genotype. Principle component analysis using 12 different cognitive tests was used to assess patterns of clinical decline, with the principle components correlated to neuroimaging.ResultFastest rates of tau accumulation were observed in the frontal lobes in PCA and LPA, while fastest rates of atrophy were observed in occipital lobe in PCA and left temporoparietal lobe in LPA. Cortical rates of tau accumulation, particularly in the frontal lobe, were faster in younger patients and in APOE ε4 non‐carriers within LPA and PCA. Spatial patterns of tau accumulation were similar in both carriers and non‐carriers. Cortical rates of atrophy, particularly in parietal regions, were faster in younger patients in PCA and LPA, and in APOE ε4 non‐carriers. Conversely, rates of medial temporal atrophy were faster in older patients and APOE ε4 carriers. Increased rates of tau accumulation across the cortex, but particularly in frontal regions, corresponded to greater severity of clinical decline across tests over time.ConclusionRates of tau accumulation and atrophy are both influenced by age and APOE genotype in atypical AD, but with different regional associations observed for each modality. These findings highlight heterogeneity present in neuroimaging signatures of atypical AD beyond clinical phenotype.

AbstractBackgroundThe Neurodegenerative Research Group (NRG) at Mayo clinic has followed patients with degenerative speech and/or language disorders for over a decade. In this presentation I will present data from this cohort to inform a broader discussion about the importance of apraxia of speech (AOS) and its subtypes, heterogeneity within the agrammatic PPA variant, and perils of mixed phenotypes.MethodWe reviewed the NRG database to identify patients who initially presented with isolated (PPAOS), AOS in conjunction with agrammatic aphasia (AOS‐PAA), isolated agrammatic aphasia (PAA), and patients who had PAA or AOS overlapping with another degenerative diagnosis. Data from the following clinical instruments were abstracted: WAB AQ (aphasia severity), UPDRS III (parkinsonism), WAB Praxis (ideomotor apraxia), and the MoCA (cognitive ability). We assessed the effect of baseline diagnosis and AOS subtype on these outcomes over time using Bayesian linear mixed effects models. We qualitatively reviewed longitudinal diagnostic trajectories. Preliminary analyses were done on available autopsy data.ResultPAA was associated with greater aphasia at baseline and more rapid decline; PPAOS was associated with normal language at baseline and slow decline; and PAA‐AOS with intermediate baseline aphasia and decline. However, for those with AOS longitudinal decline differed based on AOS subtype: prosodic PPAOS was associated with the slowest decline and phonetic PAA‐AOS with the fastest. Some patients met criteria for non‐PPA disorders during follow up. However, compared to patients who met criteria for these disorders at enrollment, the speech/language‐first patients remained qualitatively distinct, and neither resembled the cases that were mixed at onset. Preliminary autopsy data suggests that AOS is predictive of tau and that the specific tauopathy may be related to the initial syndrome and AOS subtype.ConclusionThe differences between PAA, PAA‐AOS and PPAOS suggest that these disorders should not be lumped. In fact, the longitudinal trajectories are sufficiently different that doing so would add noise to observational and interventional studies. Instead, more detailed phenotyping, including AOS subtype, can aid prognostication and may improve prediction of the underlying pathology. Finally, caution should be exercised when considering PPAOS and PPA patients for other FTLD diagnostic categories.

AbstractBackgroundLogopenic progressive aphasia (LPA) and posterior cortical atrophy (PCA) have distinct patterns of hypometabolism and atrophy. However, these clinical syndromes overlap: visuospatial impairment has been documented in LPA and aphasia in PCA. Rey‐Osterrieth Complex Figure – Copy (Rey‐O Copy) performance is correlated with parietal‐occipital atrophy in LPA. We explore visuospatial impairment on the Rey‐O Copy in LPA and PCA with the Mayo Older Americans Normative Studies (MOANS; which uses Meyers & Meyers criteria) and the Boston Qualitative Scoring System (BQSS). We also examine the proportion of visuospatial impairment in LPA, an under‐appreciated phenomenon, compared to PCA wherein it is fundamental.MethodPatients with LPA (n=25) or PCA (n=23) were recruited by the Neurodegenerative Research Group. Patients underwent comprehensive neuropsychological testing (including Rey‐O Copy) at baseline visit. Cut‐offs of T‐score=40 (BQSS) or scaled score=7 (MOANS) were used based on normative data. Proportions of patients with low performance were examined across LPA and PCA groups. Individual logistic regressions and AUROC analyses were then conducted to quantify differences in visuospatial impairment in LPA and PCA with both scoring systems. Identical analyses were conducted using raw scores corrected for age and sex, to avoid confounds of adjustments in normative data.ResultLPA and PCA groups were comparable on age, sex, and disease duration (LPA Median = 2.7 years, IQR=1.9‐3.5; PCA Median = 3.6 years, IQR=1.5‐4.9); p=.823). Surprisingly, 52‐72% of LPA participants demonstrated impaired performance across scoring systems, relative to 96% of the PCA group identified by both scoring systems. Odds ratios (OR) for the Rey‐O Copy MOANS (OR = 1.59; p=.008) and BQSS Copy Presence and Accuracy index (CPA; OR = 1.13, p=.002) were significant, persisting for age‐ and sex‐ controlled raw scores, suggesting the odds of a PCA diagnosis increased with decrement on Rey‐O Copy. AUROC values ranged from 0.77 to 0.88 across these indices.ConclusionA substantial number of LPA participants showed visuospatial impairment, despite initial primary language complaints. Differentiation of diagnostic groups by the Rey‐O is likely underscored by relatively uniform, profound, visuospatial impairment in PCA with more variability in LPA. However, the degree of visuospatial impairment overlaps remarkably across diagnoses.