Showing papers by "Daniela Perani published in 2016"

Cross-validation of biomarkers for the early differential diagnosis and prognosis of dementia in a clinical setting

Abstract: The aim of this study was to evaluate the supportive role of molecular and structural biomarkers (CSF protein levels, FDG PET and MRI) in the early differential diagnosis of dementia in a large sample of patients with neurodegenerative dementia, and in determining the risk of disease progression in subjects with mild cognitive impairment (MCI). We evaluated the supportive role of CSF Aβ42, t-Tau, p-Tau levels, conventional brain MRI and visual assessment of FDG PET SPM t-maps in the early diagnosis of dementia and the evaluation of MCI progression. Diagnosis based on molecular biomarkers showed the best fit with the final diagnosis at a long follow-up. FDG PET SPM t-maps had the highest diagnostic accuracy in Alzheimer’s disease and in the differential diagnosis of non-Alzheimer’s disease dementias. The p-tau/Aβ42 ratio was the only CSF biomarker providing a significant classification rate for Alzheimer’s disease. An Alzheimer’s disease-positive metabolic pattern as shown by FDG PET SPM in MCI was the best predictor of conversion to Alzheimer’s disease. In this clinical setting, FDG PET SPM t-maps and the p-tau/Aβ42 ratio improved clinical diagnostic accuracy, supporting the importance of these biomarkers in the emerging diagnostic criteria for Alzheimer’s disease dementia. FDG PET using SPM t-maps had the highest predictive value by identifying hypometabolic patterns in different neurodegenerative dementias and normal brain metabolism in MCI, confirming its additional crucial exclusionary role.

Neuropsychiatric subsyndromes and brain metabolic network dysfunctions in early onset Alzheimer's disease.

Abstract: Neuropsychiatric symptoms (NPSs) often occur in early-age-of-onset Alzheimer's disease (EOAD) and cluster into sub-syndromes (SSy). The aim of this study was to investigate the association between 18 F-FDG-PET regional and connectivity-based brain metabolic dysfunctions and neuropsychiatric SSy. NPSs were assessed in 27 EOAD using the Neuropsychiatric Inventory and further clustered into four SSy (apathetic, hyperactivity, affective, and psychotic SSy). Eighty-five percent of EOAD showed at least one NPS. Voxel-wise correlations between SSy scores and brain glucose metabolism (assessed with 18 F-FDG positron emission tomography) were studied. Interregional correlation analysis was used to explore metabolic connectivity in the salience (aSN) and default mode networks (DMN) in a larger sample of EOAD (N = 51) and Healthy Controls (N = 57). The apathetic, hyperactivity, and affective SSy were highly prevalent (>60%) as compared to the psychotic SSy (33%). The hyperactivity SSy scores were associated with increase of glucose metabolism in frontal and limbic structures, implicated in behavioral control. A comparable positive correlation with part of the same network was found for the affective SSy scores. On the other hand, the apathetic SSy scores were negatively correlated with metabolism in the bilateral orbitofrontal and dorsolateral frontal cortex known to be involved in motivation and decision-making processes. Consistent with these SSy regional correlations with brain metabolic dysfunction, the connectivity analysis showed increases in the aSN and decreases in the DMN. Behavioral abnormalities in EOAD are associated with specific dysfunctional changes in brain metabolic activity, in particular in the aSN that seems to play a crucial role in NPSs in EOAD. Hum Brain Mapp 37:4234-4247, 2016. © 2016 Wiley Periodicals, Inc.

The Role of Single-Subject Brain Metabolic Patterns in the Early Differential Diagnosis of Primary Progressive Aphasias and in Prediction of Progression to Dementia.

Abstract: BACKGROUND AND OBJECTIVE Primary progressive aphasia (PPA) is a clinical syndrome due to different neurodegenerative conditions in which an accurate early diagnosis needs to be supported by a reliable diagnostic tool at the individual level. In this study, we investigated in PPA the FDG-PET brain metabolic patterns at the single-subject level, in order to assess the case-to-case variability and its relationship with clinical-neuropsychological findings. MATERIAL AND METHODS 55 patients (i.e., 11 semantic variant/sv-PPA, 19 non fluent variant/nfv-PPA, 17 logopenic variant/lv-PPA, 3 slowly progressive anarthria/SPA, and 5 mixed PPA/m-PPA) were included. Clinical-neuropsychological information and FDG-PET data were acquired at baseline. A follow-up of 27.4±12.55 months evaluated the clinical progression. Brain metabolism was analyzed using an optimized and validated voxel-based SPM method at the single-subject level. RESULTS FDG-PET voxel-wise metabolic assessment revealed specific metabolic signatures characterizing each PPA variant at the individual level, reflecting the underlying neurodegeneration in language networks. Notably, additional dysfunctional patterns predicted clinical progression to specific dementia conditions. In the case of nfv-PPA, a metabolic pattern characterized by involvement of parietal, subcortical and brainstem structures predicted progression to a corticobasal degeneration syndrome or to progressive supranuclear palsy. lv-PPA and sv-PPA cases who progressed to Alzheimer's disease and frontotemporal dementia at the follow-up presented with extended bilateral patterns at baseline. DISCUSSION Our results indicate that FDG-PET voxel-wise imaging is a valid biomarker for the early differential diagnosis of PPAs and for the prediction of progression to specific dementia condition. This study supports the use of FDG-PET imaging quantitative assessment in clinical settings for a better characterization of PPA individuals and prognostic definition of possible endo-phenotypes.

Severe Brain Metabolic Decreases Associated with REM Sleep Behavior Disorder in Dementia with Lewy Bodies

Abstract: Background/objective To evaluate the prevalence of REM sleep behavior disorder (RBD) in a sample of Dementia with Lewy Bodies (DLB) and Alzheimer's Disease (AD) patients and compare the patterns of brain glucose metabolism in DLB patients with or without the sleep disturbances. Methods In this retrospective study, the presence of probable RBD was ascertained for 27 clinically diagnosed DLB patients and 11 AD patients by a self-administered RBD Single-Question Screen (RBD1Q), followed by a sleep structured interview by experts in sleep disorders blinded to clinical information. For 18F-FDG-PET metabolic comparisons, we considered an additional 13 DLB patients with negative history for sleep disturbance. We performed DLB within-group comparisons covarying for age and disease duration. Results The RBD1Q questionnaire identified 20 out of 27 DLB RBD+ and 7 out of 27 DLB RBD-. None of the AD patients was positive to RBD1Q test. 18F-FDG-PET hypometabolism at the single- and group-level tested by means of an optimized SPM approach revealed the typical DLB metabolic pattern. Each DLB patient showed a predominant occipital hypometabolism. The SPM voxel-based comparisons revealed significant brain metabolic differences, namely a more severe metabolic decrease in DLB RBD+ in the dorsolateral and medial frontal regions, left precuneus, bilateral superior parietal lobule and rolandic operculum, and amygdala. Discussion We found a high prevalence of RBD in DLB and none in AD, as identified by the RBD1Q questionnaire, indicating its utility in clinical practice. DLB patients with or without RBD show different hypometabolism patterns that might reflect differences in underlying pathology.

Erratum to: Cross-validation of biomarkers for the early differential diagnosis and prognosis of dementia in a clinical setting (European Journal of Nuclear Medicine and Molecular Imaging, 10.1007/s00259-015-3170-y)

Abstract: 1 Vita-Salute San Raffaele University, Via Olgettina, 58, 20132 Milan, Italy 2 Division of Neuroscience, San Raffaele Scientific Institute, Via Olgettina, 58, 20132 Milan, Italy 3 Nuclear Medicine Unit, San Raffaele Hospital, Via Olgettina, 60, 20132 Milan, Italy 4 Clinical Neuroscience Department, San Raffaele Hospital, Via Olgettina, 60, 20132 Milan, Italy 5 Department of Neurology, San Raffaele Hospital, Via Olgettina, 60, 20132 Milan, Italy 6 Department of Neurology, Papa Giovanni XXIII Hospital, Piazza OMS, 1, 24127 Bergamo, Italy 7 Servizio di Medicina di Laboratorio OSR, Via Olgettina, 60, 20132 Milan, Italy 8 CERMAC – Department of Neuroradiology, San Raffaele Hospital, Via Olgettina, 60, 20132 Milan, Italy 9 IUSS Pavia, Piazza della Vittoria, 15, 27100 Pavia, Italy Eur J Nucl Med Mol Imaging (2016) 43:202–203 DOI 10.1007/s00259-015-3205-4