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The logopenic variant of primary progressive aphasia (lvPPA) is the most recent variant of primary progressive aphasia (PPA) to be identified; thus far, it has been poorly investigated. Despite being typically associated with Alzheimer disease (AD), lvPPA has recently been linked to frontotemporal lobe degeneration (FTLD), with distinctive cognitive and neural features that are worthy of further investigation. Here, we describe the neuropsychological and linguistic profile, as well as cerebral abnormalities, of an individual exhibiting PPA and carrying a pathogenetic variant in the GRN gene, from a 3-year longitudinal perspective. The individual's initial profile resembled lvPPA because it was characterized by word-finding difficulties and phonological errors in spontaneous speech in addition to sentence repetition and phonological short-term memory impairments. The individual's structural and metabolic imaging data demonstrated left temporal and bilateral frontal atrophy and hypometabolism, respectively. On follow-up, as the pathology progressed, dysprosody, stereotypical speech patterns, agrammatism, and orofacial apraxia appeared, suggesting an overlap with the nonfluent variant of PPA (nfvPPA). Severe sentence comprehension impairment also became evident. Our longitudinal and multidisciplinary diagnostic approach allowed us to better characterize the progression of a GRN-positive lvPPA profile, providing neuropsychological and imaging indicators that might be helpful to improve classification between different PPA variants and to address a nosological issue. Finally, we discuss the importance of early diagnosis of PPA given the possible overlap between different PPA variants during the progression of the pathology.

Contains fulltext : 229556.pdf (Publisher’s version ) (Closed access) Various biomarkers are available to support the diagnosis of neurodegenerative diseases in clinical and research settings. Among the molecular imaging biomarkers, amyloid-PET, which assesses brain amyloid deposition, and (18)F-fluorodeoxyglucose ((18)F-FDG) PET, which assesses glucose metabolism, provide valuable and complementary information. However, uncertainty remains regarding the optimal timepoint, combination, and an order in which these PET biomarkers should be used in diagnostic evaluations because conclusive evidence is missing. Following an expert panel discussion, we reached an agreement on the specific use of the individual biomarkers, based on available evidence and clinical expertise. We propose a diagnostic algorithm with optimal timepoints for these PET biomarkers, also taking into account evidence from other biomarkers, for early and differential diagnosis of neurodegenerative diseases that can lead to dementia. We propose three main diagnostic pathways with distinct biomarker sequences, in which amyloid-PET and (18)F-FDG-PET are placed at different positions in the order of diagnostic evaluations, depending on clinical presentation. We hope that this algorithm can support diagnostic decision making in specialist clinical settings with access to these biomarkers and might stimulate further research towards optimal diagnostic strategies.

Purpose: To compare the incremental diagnostic value of amyloid-PET and CSF (Aβ42, tau, and phospho-tau) in AD diagnosis in patients with mild cognitive impairment (MCI) or mild dementia, in order to improve the definition of diagnostic algorithm. Methods: Two independent dementia experts provided etiological diagnosis and relative diagnostic confidence in 71 patients on 3 rounds, based on (1) clinical, neuropsychological, and structural MRI information alone; (2) adding one biomarker (CSF amyloid and tau levels or amyloid-PET with a balanced randomized design); and (3) adding the other biomarker. Results: Among patients with a pre-biomarker diagnosis of AD, negative PET induced significantly more diagnostic changes than amyloid-negative CSF at both rounds 2 (CSF 67%, PET 100%, P = 0.028) and 3 (CSF 0%; PET 78%, P < 0.001); PET induced a diagnostic confidence increase significantly higher than CSF on both rounds 2 and 3. Conclusions: Amyloid-PET should be prioritized over CSF biomarkers in the diagnostic workup of patients investigated for suspected AD, as it provides greater changes in diagnosis and diagnostic confidence. Trial registration: EudraCT no.: 2014-005389-31.

Objective: Revised research criteria for the diagnosis of Alzheimer disease have been proposed to capture patients presenting with mild and not yet disabling symptoms, and currently classified as mild cognitive impairment (MCI). We describe 2 very mild cases of MCI and their clinical outcome. Methods: The 2 cases were selected as they had unequivocal preservation of daily activities and normal global cognitive performance (Mini-Mental State Examination 29/30) and were positive to all 3 markers. Cognitive profile was assessed with an extensive neuropsychologic battery, medial temporal atrophy with hippocampal volumetry, hypometabolism on 18 F-deoxyglucose positron emission tomography and voxel-based statistical parametric mapping analysis, and tau and amyloid beta-42 in the cerebrospinal fluid with enzyme-linked immunosorbent assay. Results: Both patients had a poor performance in 2 out of 11 neuropsychologic tests. Both had hippocampal volumes at or below the first percentile of the age-specific distribution, retrosplenial glucose hypometabolism, and inversion of tau/amyloid beta-42 cerebrospinal fluid ratio. Both showed progression of the cognitive deficit over the following 12 months. Conclusions: These 2 patients with progressive MCI and positivity to all Alzheimer markers predicated by the new research criteria provide preliminary support to their validity. Future work will characterize the marker profile of the vast majority of patients with incomplete marker positivity.

Background: Previous reports have shown that higher education is associated with more severe brain pathology in patients with Alzheimer disease (AD), suggesting that these individuals have a functional reserve provided by education, which masks the clinical expression of a higher degree of neurodegeneration. It is unknown if a similar reserve mechanism exists in patients with amnestic mild cognitive impairment (aMCI). The aim of this study was to assess the impact of education and occupation on brain glucose metabolism (rCMRglc) measured with FDG-PET in aMCI and in a very large sample of subjects with probable AD (pAD). Methods: A total of 242 patients with pAD, 72 with aMCI, and 144 healthy controls participated in the study. At follow-up, 21 subjects with aMCI progressed to AD. A regression analysis was conducted (SPM2), with education and occupation as independent variables, and rCMRglc as dependent variable, adjusting for demographic data, global cognitive status, and neuropsychological scores. Results: The analysis showed a significant association between higher education/occupation and lower rCMRglc in posterior temporoparietal cortex and precuneus in pAD and aMCI converters, and no correlation in aMCI nonconverters and healthy controls. This means that, when submitted to FDG-PET for diagnostic evaluation, pAD and aMCI converters with higher education/occupation had, for comparable cognitive impairment, a more severe rCMRglc reduction than the ones with lower education/occupation. Conclusions: This study suggests that education and occupation may be proxies for brain functional reserve, reducing the severity and delaying the clinical expression of Alzheimer disease (AD) pathology. The results in aMCI converters suggest that functional reserve is already at play in the predementia phase of AD.

Non-invasive approaches for positron emission tomography (PET) parametric imaging of acetylcholinesterase (AChE) activity have been developed and applied to the investigation of dementia, mainly Alzheimer's disease (AD), but also dementia with Lewy bodies (DLB), not including, however, patients in the early disease stage. The few cholinergic PET studies on mild cognitive impairment (MCI) did not provide clinical follow-up. One limitation of the methods used so far is the relatively low sensitivity in measuring subcortical or deep cortical structures, which might represent specific disease markers. Here we assessed AChE activity with [11C]-MP4A and PET by a maximum a posteriori Bayesian method (MAPB) based on a 2-tissue compartment-3-rate-constant reference region model. 30 subjects were included: 10 multi-domain amnestic MCI (aMCI) with a follow up of 2 years, 7 probable AD (pAD), 4 DLB subjects, and 9 healthy controls. Regions of interest and voxel-based statistical parametric mapping analyses revealed significant and widespread AChE reductions in several cortical regions and in the hippocampus in all pAD subjects and aMCI subjects who progressed to AD (converters). Noteworthy, hippocampal AChE activity correlated significantly with long-term verbal and non-verbal memory in both aMCI converters and pAD. The pattern was more heterogeneous in early DLB patients, with only 2 out of 4 cases showing a severe or intermediate reduction of AChE activity. The comparable AChE reductions in pAD and aMCI converters indicate the presence of a widespread impairment of the cholinergic system already in the MCI phase. A more variable degree of cholinergic dysfunction is present in early DLB.

Identifying pre-clinical Alzheimer's disease (AD) in subjects with mild cognitive impairment (MCI) is a major issue in clinical diagnosis. Establishing a combination of predictive markers from different fields of research might help in increasing the diagnostic accuracy. Aim of this study was to evaluate the potential role of 99mTc-ECD single photon emission computed tomography (SPECT) and memory scores in predicting conversion to AD in MCI subjects. Thirty-one MCI subjects underwent a clinical and neuropsychological examination, and a regional cerebral blood flow (rCBF) SPECT scan at baseline. Subjects had been followed periodically through 2 years in order to monitor the progression of cognitive symptoms. Canonical variate analysis of principal components was able to separate all subjects who converted to AD from those who remained stable, the former being characterized by a specific hypometabolic pattern, involving the parietal and temporal lobes, precuneus, and posterior cingulate cortex. Canonical correlation analysis of combined baseline memory deficits and rCBF SPECT images identified pre-clinical AD with a sensitivity and specificity of 77.8%. The pattern of hypoperfusion 99mTc-ECD SPECT and the severity of memory deficits predict the risk of progression to probable AD dementia in MCI subjects.