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Early-onset Alzheimer's disease versus frontotemporal dementia: resolution with genetic diagnoses?

ABSTRACT: We report a diagnostically challenging case of a 64-year-old man with a history of remote head trauma who developed mild behavioral changes and dyscalculia. He was diagnosed with clinical Alzheimer's disease (AD), with additional features consistent with behavioral variant frontotemporal dementia. Structural magnetic resonance imaging revealed atrophy in bilateral frontal and parietal cortices and hippocampi on visual inspection and left frontal pole and bilateral anterior temporal encephalomalacia, suspected to be due to head trauma. Consistent with the diagnosis of Alzheimer's pathology, positron emission tomography (PET) with Pittsburgh compound B suggested the presence of beta-amyloid. Fluorodeoxyglucose PET demonstrated hypometabolism in bilateral frontal and temporoparietal cortices. Voxel-based morphometry showed atrophy predominant in ventral frontal regions (bilateral orbitofrontal cortex, pregenual anterior cingulate/medial superior frontal gyrus), bilateral mid cingulate, bilateral lateral temporal cortex, and posterior insula. Bilateral caudate, thalamus, hippocampi, and cerebellum were prominently atrophied. Unexpectedly, a pathologic hexanucleotide repeat expansion in C9ORF72 was identified in this patient. This report underscores the clinical variability in C9ORF72 expansion carriers and the need to consider mixed pathologies, particularly when imaging studies are inconsistent with a single syndrome or pathology.

SUBMITTER: Sha SJ

PROVIDER: S-EPMC4733403 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature

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Early-onset Alzheimer's disease versus frontotemporal dementia: resolution with genetic diagnoses?

Sha Sharon J SJ Khazenzon Anna M AM Ghosh Pia M PM Rankin Katherine P KP Pribadi Mochtar M Coppola Giovanni G Geschwind Daniel H DH Rabinovici Gil D GD Miller Bruce L BL Lee Suzee E SE

Neurocase 20150825 2

We report a diagnostically challenging case of a 64-year-old man with a history of remote head trauma who developed mild behavioral changes and dyscalculia. He was diagnosed with clinical Alzheimer's disease (AD), with additional features consistent with behavioral variant frontotemporal dementia. Structural magnetic resonance imaging revealed atrophy in bilateral frontal and parietal cortices and hippocampi on visual inspection and left frontal pole and bilateral anterior temporal encephalomala ...[more]

PMID: 26304661

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Project description:Co-pathologies play an important role in the expression of the Alzheimer's disease clinical phenotype and may influence treatment efficacy. Early-onset Alzheimer's disease, defined as manifesting before age 65, is viewed as a relatively pure form of Alzheimer's disease with a more homogeneous neuropathological substrate. We sought to compare the frequency of common neuropathological diagnoses in a consecutive autopsy series of 96 patients with early-onset Alzheimer's disease (median age of onset = 55 years, 44 females) and 48 with late-onset Alzheimer's disease (median age of onset = 73 years, 14 females). The UCSF Neurodegenerative Disease Brain Bank database was reviewed to identify patients with a primary pathological diagnosis of Alzheimer's disease. Prevalence and stage of Lewy body disease, limbic age-related TDP-43 encephalopathy (LATE), argyrophilic grain disease, hippocampal sclerosis, cerebral amyloid angiopathy, and vascular brain injury were compared between the two cohorts. We found at least one non-Alzheimer's disease pathological diagnosis in 98% of patients with early-onset Alzheimer's disease (versus 100% of late onset), and the number of comorbid diagnoses per patient was lower in early-onset than in late-onset Alzheimer's disease (median = 2 versus 3, Mann-Whitney Z = 3.00, P = 0.002). Lewy body disease and cerebral amyloid angiopathy were common in both early and late onset Alzheimer's disease (cerebral amyloid angiopathy: 86% versus 79%, Fisher exact P = 0.33; Lewy body disease: 49% versus 42%, P = 0.48, respectively), although amygdala-predominant Lewy body disease was more common in early than late onset Alzheimer's disease (22% versus 6%, P = 0.02). In contrast, LATE (35% versus 8%, P < 0.001), hippocampal sclerosis (15% versus 3%, P = 0.02), argyrophilic grain disease (58% versus 41%, P = 0.052), and vascular brain injury (65% versus 39%, P = 0.004) were more common in late than in early onset Alzheimer's disease, respectively. The number of co-pathologies predicted worse cognitive performance at the time of death on Mini-Mental State Examination [1.4 points/pathology (95% confidence interval, CI -2.5 to -0.2) and Clinical Dementia Rating-Sum of Boxes (1.15 point/pathology, 95% CI 0.45 to 1.84)], across early and late onset cohorts. The effect of sex on the number of co-pathologies was not significant (P = 0.17). Prevalence of at least one APOE ε4 allele was similar across the two cohorts (52% and 54%) and was associated with a greater number of co-pathologies (+0.40, 95% CI 0.01 to 0.79, P = 0.047), independent of age of symptom onset, sex, and disease duration. Females showed higher density of neurofibrillary tangles compared to males, controlling for age of onset, APOE ε4, and disease duration. Our findings suggest that non-Alzheimer's disease pathological diagnoses play an important role in the clinical phenotype of early onset Alzheimer's disease with potentially significant implications for clinical practice and clinical trials design.

Project description:Cortical and subcortical nuclei degenerate in the dementias, but less is known about changes in the white matter tracts that connect them. To better understand white matter changes in behavioral variant frontotemporal dementia (bvFTD) and early-onset Alzheimer's disease (EOAD), we used a novel approach to extract full 3D profiles of fiber bundles from diffusion-weighted MRI (DWI) and map white matter abnormalities onto detailed models of each pathway. The result is a spatially complex picture of tract-by-tract microstructural changes. Our atlas of tracts for each disease consists of 21 anatomically clustered and recognizable white matter tracts generated from whole-brain tractography in 20 patients with bvFTD, 23 with age-matched EOAD, and 33 healthy elderly controls. To analyze the landscape of white matter abnormalities, we used a point-wise tract correspondence method along the 3D profiles of the tracts and quantified the pathway disruptions using common diffusion metrics - fractional anisotropy, mean, radial, and axial diffusivity. We tested the hypothesis that bvFTD and EOAD are associated with preferential degeneration in specific neural networks. We mapped axonal tract damage that was best detected with mean and radial diffusivity metrics, supporting our network hypothesis, highly statistically significant and more sensitive than widely studied fractional anisotropy reductions. From white matter diffusivity, we identified abnormalities in bvFTD in all 21 tracts of interest but especially in the bilateral uncinate fasciculus, frontal callosum, anterior thalamic radiations, cingulum bundles and left superior longitudinal fasciculus. This network of white matter alterations extends beyond the most commonly studied tracts, showing greater white matter abnormalities in bvFTD versus controls and EOAD patients. In EOAD, network alterations involved more posterior white matter - the parietal sector of the corpus callosum and parahipoccampal cingulum bilaterally. Widespread but distinctive white matter alterations are a key feature of the pathophysiology of these two forms of dementia.

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Project description:BackgroundDegradation of white matter microstructure has been demonstrated in frontotemporal lobar degeneration (FTLD) and Alzheimer's disease (AD). In preparation for clinical trials, ongoing studies are investigating the utility of longitudinal brain imaging for quantification of disease progression. To date only one study has examined sample size calculations based on longitudinal changes in white matter integrity in FTLD.ObjectiveTo quantify longitudinal changes in white matter microstructural integrity in the three canonical subtypes of frontotemporal dementia (FTD) and AD using diffusion tensor imaging (DTI).Methods60 patients with clinical diagnoses of FTD, including 27 with behavioral variant frontotemporal dementia (bvFTD), 14 with non-fluent variant primary progressive aphasia (nfvPPA), and 19 with semantic variant PPA (svPPA), as well as 19 patients with AD and 69 healthy controls were studied. We used a voxel-wise approach to calculate annual rate of change in fractional anisotropy (FA) and mean diffusivity (MD) in each group using two time points approximately one year apart. Mean rates of change in FA and MD in 48 atlas-based regions-of-interest, as well as global measures of cognitive function were used to calculate sample sizes for clinical trials (80% power, alpha of 5%).ResultsAll FTD groups showed statistically significant baseline and longitudinal white matter degeneration, with predominant involvement of frontal tracts in the bvFTD group, frontal and temporal tracts in the PPA groups and posterior tracts in the AD group. Longitudinal change in MD yielded a larger number of regions with sample sizes below 100 participants per therapeutic arm in comparison with FA. SvPPA had the smallest sample size based on change in MD in the fornix (n = 41 participants per study arm to detect a 40% effect of drug), and nfvPPA and AD had their smallest sample sizes based on rate of change in MD within the left superior longitudinal fasciculus (n = 49 for nfvPPA, and n = 23 for AD). BvFTD generally showed the largest sample size estimates (minimum n = 140 based on MD in the corpus callosum). The corpus callosum appeared to be the best region for a potential study that would include all FTD subtypes. Change in global measure of functional status (CDR box score) yielded the smallest sample size for bvFTD (n = 71), but clinical measures were inferior to white matter change for the other groups.ConclusionsAll three of the canonical subtypes of FTD are associated with significant change in white matter integrity over one year. These changes are consistent enough that drug effects in future clinical trials could be detected with relatively small numbers of participants. While there are some differences in regions of change across groups, the genu of the corpus callosum is a region that could be used to track progression in studies that include all subtypes.

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Early-onset Alzheimer's disease versus frontotemporal dementia: resolution with genetic diagnoses?

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Early-onset Alzheimer's disease versus frontotemporal dementia: resolution with genetic diagnoses?

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