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Introduction. Prospective memory (PM) is the ability of forming and maintaining an intention in memory over time while performing another task. From previous studies in healthy volunteers the prefrontal regions are deeply involved in PM, although little is known in early Alzheimer's disease (AD). Hence, we investigated the functional neural basis of PM in patients with mild cognitive impairment due to AD (MCI-AD) by assessing brain metabolism (18F-FDG PET). Methods. Eighteen patients (10 males, age:74±4.9; MMSE score:27.7±1.6) with intermediate or high likelihood of MCI-AD and a control group (HC) of 23 healthy subjects (11 males, age:71.5±5.7) underwent FDG-PET, neuropsychological evaluation and the PM-specific Shum and Ungvari paradigm test. Brain metabolism was correlated with the PM score in the two groups separately to find those brain areas correlated with PM performance ('PM cluster'), which were then used as central hub for the subsequent interregional metabolic connectivity analyses (IRCA). Results. In MCI-AD patients PM score positively correlated with metabolic levels in the right anterior prefrontal cortex (aPFC, middle and inferior frontal gyri); no correlation was found in HC. The IRCA showed in MCI-AD patients a loss of the interhemispheric connectivity of the PM cluster. Conclusion. The functioning of the right aPFC and its metabolic interhemispheric connectivity is crucial in early AD to sustain PM performance which deteriorates along with progressive metabolic failure in these regions.

We explored the brain metabolism correlates of emergent cerebrospinal fluid (CSF) biomarkers in a group of 26 patients with prodromal Alzheimer's disease (AD). Distinct volumes of interest (VOIs) expressed the sites of correlation between CSF biomarkers and brain metabolism as determined on [18F]FDG-PET images, as well as of significant hypometabolism in patients compared to healthy controls. Neurogranin- and α-synuclein-VOIs included left precuneus and/or posterior cingulate cortex (PC and/or PCC) and partially overlapped hypometabolism at those sites. β-synuclein- and neurofilament light chain (NfL)-VOIs regarded either left or right lateral temporal areas, respectively, with partial overlap with hypometabolism only for the β-synuclein-VOI, whereas the NfL-VOI did not include hypometabolic regions. We speculate that CSF neurogranin and α-synuclein express an already established hippocampal damage leading to PC and/or PCC deafferentation and hypometabolism. β-synuclein may represent the progression of synaptopathy in the temporal lobe, while NfL the axonal injury in right temporal regions where neuronal loss is not yet evident.

Electroencephalography (EEG) slowing with prealpha dominant frequency (DF) in posterior derivations is a biomarker for dementia with Lewy bodies (DLB) diagnosis, in contrast with Alzheimer's disease (AD). However, an intrasubject re-evaluation of the original data, which contributed to the identification of EEG DLB biomarker, showed that DF was slower in anterior than posterior derivations. We suppose this anterior-posterior gradient of DF slowing could arise in DLB from a thalamocortical dysrhythmia, differently involving the anterior and posterior cortical areas, and correlating with cognitive impairment (Mini-Mental State Examination). EEG was recorded in 144 DLB, 116 AD, and 65 controls from 7 Centers of the European DLB Consortium. Spectra were divided into delta, theta, prealpha, alpha frequency bands. In DLB, mean DF was prealpha both anteriorly and posteriorly, but lower anteriorly (p < 0.001). In 14% of DLB, DF was prealpha anteriorly, whereas alpha posteriorly. In AD and controls, DF was constantly alpha. EEG slowing in DLB correlated with cognitive impairment. Thalamocortical dysrhythmia gives rise to prealpha rhythm with an anterior-posterior gradient and correlates with impaired cognition.

WOS: 000428233700003 PubMed ID: 29407464 Previous evidence showed abnormal posterior sources of resting-state delta (< 4 Hz) and alpha (8-12 Hz) rhythms in patients with Alzheimer's disease with dementia (ADD), Parkinson's disease with dementia (PDD), and Lewy body dementia (DLB), as cortical neural synchronization markers in quiet wakefulness. Here, we tested the hypothesis of additional abnormalities in functional cortical connectivity computed in those sources, in ADD, considered as a "disconnection cortical syndrome", in comparison with PDD and DLB. Resting-state eyes-closed electroencephalographic (rsEEG) rhythms had been collected in 42 ADD, 42 PDD, 34 DLB, and 40 normal healthy older (Hold) participants. Exact low-resolution brain electromagnetic tomography (eLORETA) freeware estimated the functional lagged linear connectivity (LLC) from rsEEG cortical sources in delta, theta, alpha, beta, and gamma bands. The area under receiver operating characteristic (AUROC) curve indexed the classification accuracy between Nold and diseased individuals (only values > 0.7 were considered). Interhemispheric and intrahemispheric LLCs in widespread delta sources were abnormally higher in the ADD group and, unexpectedly, normal in DLB and PDD groups. Intrahemispheric LLC was reduced in widespread alpha sources dramatically in ADD, markedly in DLB, and moderately in PDD group. Furthermore, the interhemispheric LLC in widespread alpha sources showed lower values in ADD and DLB than PDD groups. At the individual level, AUROC curves of LLC in alpha sources exhibited better classification accuracies for the discrimination of ADD versus Nold individuals (0.84) than for DLB versus Nold participants (0.78) and PDD versus Nold participants (0.75). Functional cortical connectivity markers in delta and alpha sources suggest a more compromised neurophysiological reserve in ADD than DLB, at both group and individual levels. (C) 2017 Elsevier Inc. All rights reserved. H2020 Marie S. Curie ITN-ETN project The present study was developed based on the data of the informal European Consortium PDWAVES and European Consortium of Dementia with Lewy Body. The members and institutional affiliations of the consortia are reported in the cover page of this manuscript. The research activities of the Unit of University of Rome "La Sapienza" were partially supported by the H2020 Marie S. Curie ITN-ETN project with the short title "BBDiag" (http://bddiag-itn-etn.eu). We thank Mrs. Jessica Janson and Mrs. Marina Selivanova for their support to those activities in the framework of the BBDiag project.

Forty-nine consecutive, drug naive outpatients with de novo Parkinson's disease (PD) and 12 patients with idiopathic rapid eye movement sleep behavior disorder (iRBD) underwent clinical examination and dopamine transporter single photon emission computed tomography with [(123)I]-2β-carbomethoxy-3β-(4-iodophenyl)-N-(3-fluoropropyl)nortropane as a biomarker of nigro-striatal function. PD patients were grouped into rapid eye movement sleep behavior disorder (RBD) negative (PD-RBD-) and RBD positive (PD-RBD+). Repeated measures and univariate analysis of variance were used to compare dopaminergic and clinical impairment among groups. The variations of dopamine transporter-single photon emission computed tomography specific binding ratios (SBR) as a function of group belonging were significantly different (p = 0.0013) at caudate with respect to putamen level. Indeed, putamen SBR progressively decreased from iRBD to PD-RBD- and PD-RBD+ groups while caudate SBR were higher in PD-RBD- group than in PD-RBD+ and even than in iRBD group. Motor impairment was more severe in PD patients with RBD than in those without RBD. Our data suggest that a more severe nigro-caudate dopaminergic deafferentation is related to RBD, both in its idiopathic form and in PD patients.

Subtle cognitive impairment can be detected in early Parkinson's disease (PD). In a consecutive series of de novo, drug-naive PD patients, we applied stepwise regression analysis to assess which clinical, neuropsychological, and functional neuroimaging (dopamine transporter [DAT] and perfusion single photon emission computed tomography [SPECT]) characteristics at baseline was predictive of cognitive decline during an average follow-up time of about 4 years. Decline both in executive (R2 = 0.54; p = 0.0001) and visuospatial (R2 = 0.56; p = 0.0001) functions was predicted by the couple of Unified Parkinson's Disease Rating Scale (UPDRS)-III score and caudate dopamine transporter (DAT) uptake in the less affected hemisphere (LAH). Verbal memory and language decline was predicted instead by caudate DAT uptake and brain perfusion in a posterior parieto-temporal area of the less affected hemisphere (R2 = 0.42; p = 0.0005). No significant effect was shown for age, baseline neuropsychological scores, and levodopa equivalent dose at follow-up. The combined use of clinical structured examination and brain functional assessment by means of dual single photon emission computed tomography imaging appears as a powerful approach to predict cognitive decline in de novo PD patients.