Accuracy and generalization capability of an automatic method for the detection of typical brain hypometabolism in prodromal Alzheimer disease.

PURPOSE: The aim of this study was to verify the reliability and generalizability of an automatic tool for the detection of Alzheimer-related hypometabolic pattern based on a Support-Vector-Machine (SVM) model analyzing 18F-fluorodeoxyglucose (FDG) PET data. METHODS: The SVM model processed metabolic data from anatomical volumes of interest also considering interhemispheric asymmetries. It was trained on a homogeneous dataset from a memory clinic center and tested on an independent multicentric dataset drawn from the Alzheimer's Disease Neuroimaging Initiative. Subjects were included in the study and classified based on a diagnosis confirmed after an adequate follow-up time. RESULTS: The accuracy of the discrimination between patients with Alzheimer Disease (AD), in either prodromal or dementia stage, and normal aging subjects was 95.8%, after cross-validation, in the training set. The accuracy of the same model in the testing set was 86.5%. The role of the two datasets was then reversed, and the accuracy was 89.8% in the multicentric training set and 88.0% in the monocentric testing set. The classification rate was also evaluated in different subgroups, including non-converter mild cognitive impairment (MCI) patients, subjects with MCI reverted to normal conditions and subjects with non-confirmed memory concern. The percent of pattern detections increased from 77% in early prodromal AD to 91% in AD dementia, while it was about 10% for healthy controls and non-AD patients. CONCLUSIONS: The present findings show a good level of reproducibility and generalizability of a model for detecting the hypometabolic pattern in AD and confirm the accuracy of FDG-PET in Alzheimer disease.

Effects of acute trigeminal nerve stimulation on rest EEG activity in healthy adults.

Trigeminal nerve stimulation (TNS) is a non-invasive neuromodulation method which is increasingly used for its beneficial effects on symptoms of several neuropsychiatric disorders such as drug-resistant epilepsy. Sites and mechanisms of its action are still unknown. The present study was aimed at investigating the physiological effects of acute TNS on rest electroencephalographic (EEG) activity. EEG was recorded with a 19-channel EEG system from 18 healthy adults who underwent 20 min of sham- and real-TNS (cycles of 30 s ON and 30 s OFF) in two separate sessions. EEG was continuously acquired in the 10-min preceding TNS, during TNS in the "OFF" period and throughout 10 min after TNS. Mean frequency, total power over the 0.5-48 Hz frequency range and absolute power for delta, theta, alpha, beta and gamma bands were analyzed by a discrete Fast Fourier Transform algorithm. Interhemispheric and intrahemispheric coherences were also analyzed for each band at different time points. Intra- and interhemispheric coherences were significantly reduced for the beta frequencies only during real-TNS (p = 0.002 and p = 0.006, respectively). No TNS effect on the power spectra of any band was detected. A trend of increase in the mean EEG frequency total power during real-TNS (p = 0.03) and of decrease in interhemispheric gamma coherence after real-TNS (p = 0.01) was observed. Acute TNS may induce a spatially diffuse desynchronization of fast EEG rhythms in healthy adults, this desynchronization may underpin the antiepileptic effect of TNS described by clinical studies.

Activation of the motor cortex during phasic rapid eye movement sleep.

When dreaming during rapid eye movement (REM) sleep, we can perform complex motor behaviors while remaining motionless. How the motor cortex behaves during this state remains unknown. Here, using intracerebral electrodes sampling the human motor cortex in pharmacoresistant epileptic patients, we report a pattern of electroencephalographic activation during REM sleep similar to that observed during the performance of a voluntary movement during wakefulness. This pattern is present during phasic REM sleep but not during tonic REM sleep, the latter resembling relaxed wakefulness. This finding may help clarify certain phenomenological aspects observed in REM sleep behavior disorder.

18F-FDG PET diagnostic and prognostic patterns do not overlap in Alzheimer's disease (AD) patients at the mild cognitive impairment (MCI) stage.

PURPOSE: We aimed to identify the cortical regions where hypometabolism can predict the speed of conversion to dementia in mild cognitive impairment due to Alzheimer's disease (MCI-AD). METHODS: We selected from the clinical database of our tertiary center memory clinic, eighty-two consecutive MCI-AD that underwent 18F-fluorodeoxyglucose (FDG) PET at baseline during the first diagnostic work-up and were followed up at least until their clinical conversion to AD dementia. The whole group of MCI-AD was compared in SPM8 with a group of age-matched healthy controls (CTR) to verify the presence of AD diagnostic-pattern; then the correlation between conversion time and brain metabolism was assessed to identify the prognostic-pattern. Significance threshold was set at p < 0.05 False-Discovery-Rate (FDR) corrected at peak and at cluster level. Each MCI-AD was then compared with CTR by means of a SPM single-subject analysis and grouped according to presence of AD diagnostic-pattern and prognostic-pattern. Kaplan-Meier-analysis was used to evaluate if diagnostic- and/or prognostic-patterns can predict speed of conversion to dementia. RESULTS: Diagnostic-pattern corresponded to typical posterior hypometabolism (BA 7, 18, 19, 30, 31 and 40) and did not correlate with time to conversion, which was instead correlated with metabolic levels in right middle and inferior temporal gyri as well as in the fusiform gyrus (prognostic-pattern, BA 20, 21 and 38). At Kaplan-Meier analysis, patients with hypometabolism in the prognostic pattern converted to AD-dementia significantly earlier than patients not showing significant hypometabolism in the right middle and inferior temporal cortex (9 versus 19 months; Log rank p < 0.02, Breslow test: p < 0.003, Tarone-Ware test: p < 0.007). CONCLUSION: The present findings support the role of FDG PET as a robust progression biomarker even in a naturalist population of MCI-AD. However, not the AD-typical diagnostic-pattern in posterior regions but the middle and inferior temporal metabolism captures speed of conversion to dementia in MCI-AD since baseline. The highlighted prognostic pattern is a further, independent source of heterogeneity in MCI-AD and affects a primary-endpoint on interventional clinical trials (time of conversion to dementia).

Early identification of MCI converting to AD: a FDG PET study.

PURPOSE: Mild cognitive impairment (MCI) is a transitional pathological stage between normal ageing (NA) and Alzheimer's disease (AD). Although subjects with MCI show a decline at different rates, some individuals remain stable or even show an improvement in their cognitive level after some years. We assessed the accuracy of FDG PET in discriminating MCI patients who converted to AD from those who did not. METHODS: FDG PET was performed in 42 NA subjects, 27 MCI patients who had not converted to AD at 5 years (nc-MCI; mean follow-up time 7.5 ± 1.5 years), and 95 MCI patients who converted to AD within 5 years (MCI-AD; mean conversion time 1.8 ± 1.1 years). Relative FDG uptake values in 26 meta-volumes of interest were submitted to ANCOVA and support vector machine analyses to evaluate regional differences and discrimination accuracy. RESULTS: The MCI-AD group showed significantly lower FDG uptake values in the temporoparietal cortex than the other two groups. FDG uptake values in the nc-MCI group were similar to those in the NA group. Support vector machine analysis discriminated nc-MCI from MCI-AD patients with an accuracy of 89% (AUC 0.91), correctly detecting 93% of the nc-MCI patients. CONCLUSION: In MCI patients not converting to AD within a minimum follow-up time of 5 years and MCI patients converting within 5 years, baseline FDG PET and volume-based analysis identified those who converted with an accuracy of 89%. However, further analysis is needed in patients with amnestic MCI who convert to a dementia other than AD.

Prediction of cognitive worsening in de novo Parkinson's disease: Clinical use of biomarkers.

BACKGROUND: Cognitive impairment is a frequent and disabling feature of Parkinson's disease. Identifying the factors able to predict cognitive worsening since the early stage may improve disease management. The objective of this study was to define the best predictors of future cognitive worsening in a group of patients with newly diagnosed PD and to propose cutoff values potentially useful at the individual level. METHODS: Fifty-four consecutive drug-naive patients with de novo PD were prospectively evaluated by clinical and neuropsychological assessment, resting EEG, and 123 I-FP-CIT-SPECT and clinically classified into mainly motor, diffuse/malignant, and intermediate PD subtypes; they were then followed up for an average of 5 years. Cognitive outcome was defined by identifying cognitively stable or worsened patients. RESULTS: Step-wise logistic regression selected the posterior qEEG mean frequency and 123 I-FP-CIT-SPECT uptake at caudate level (P < 0.0001). The posterior qEEG mean frequency (cut point, 8.3 Hz) and the caudate 123 I-FP-CIT-SPECT uptake (cut point, 2.3, specific to nondisplaceable binding ratio) achieved 82% and 80% of accuracy, respectively, in predicting cognitive outcome. Survival analysis showed decreasing expected time to cognitive worsening associated with scores below the established thresholds for qEEG and 123 I-FP-CIT-SPECT and with the presence of a malignant clinical phenotype. CONCLUSIONS: Resting EEG and 123 I-FP-CIT-SPECT are good predictors of future cognitive worsening, in de novo drug-naive PD patients. Wherever available, these biomarkers could add valuable prognostic information to classification into different clinical phenotypes. © 2017 International Parkinson and Movement Disorder Society.

Metabolic spatial connectivity in amyotrophic lateral sclerosis as revealed by independent component analysis.

OBJECTIVES: Positron emission tomography (PET) and volume of interest (VOI) analysis have recently shown in amyotrophic lateral sclerosis (ALS) an accuracy of 93% in differentiating patients from controls. The aim of this study was to disclose by spatial independent component analysis (ICA) the brain networks involved in ALS pathological processes and evaluate their discriminative value in separating patients from controls. EXPERIMENTAL DESIGN: Two hundred fifty-nine ALS patients and 40 age- and sex-matched control subjects underwent brain 18F-2-fluoro-2-deoxy-D-glucose PET (FDG-PET). Spatial ICA of the preprocessed FDG-PET images was performed. Intensity values were converted to z-scores and binary masks were used as data-driven VOIs. The accuracy of this classifier was tested versus a validated system processing intensity signals in 27 brain meta-VOIs. A support vector machine was independently applied to both datasets and the 'leave-one-out' technique verified the general validity of results. PRINCIPAL OBSERVATIONS: The 8 components selected as pathophysiologically meaningful discriminated patients from controls with 99.0% accuracy, the discriminating value of bilateral cerebellum/midbrain alone representing 96.3%. Among the meta-VOIs, right temporal lobe alone reached an accuracy of 93.7%. CONCLUSIONS: Spatial ICA identified in a very large cohort of ALS patients distinct spatial networks showing a high discriminatory value, improving substantially on the previously obtained accuracy. The cerebellar/midbrain component accounted for the highest accuracy in separating ALS patients from controls. Spatial ICA and multivariate analysis perform better than univariate semi-quantification methods in identifying the neurodegenerative features of ALS and pave the way for inclusion of PET in clinical trials and early diagnosis.

Baseline and ongoing PET-derived factors predict detrimental effect or potential utility of 18F-FDG PET/CT (FDG-PET/CT) performed for surveillance in asymptomatic lymphoma patients in first remission.

PURPOSE: To identify both clinical and FDG PET/CT-derived factors predicting the occurrence of relapse, or conversely, the likelihood of false positive findings in surveillance FDG-PET/CT studies (PETsv). METHODS: The study included 149 asymptomatic patients with Hodgkin's lymphoma (HL) (n = 55) or diffuse large B cell lymphoma (DLBCL) (n = 94) in first remission. PETSv studies were performed 12, 18, 24 and 36 months thereafter. Logistic regression analysis was performed to identify clinical and imaging-derived predictors of either PET-detected relapse or false-positive (FP) results. Tested clinical variables were: 1) age, 2) HL vs. DLBCL, 3) stage of disease, 4) bulky disease, 5) previous radiotherapy. PET/CT-derived variables were: 1) maximum standardized uptake value at baseline, 2) size-incorporated maximum standardized uptake value (SIMaxSUV) at baseline, 3) positive interim PET(PET-2), 4) presence of hot spots likely to be unrelated to the disease in final PET, 5) residual non-FDG avid mass. RESULTS: Accuracy was 88 % for PETsv1, 95 % for PETsv2, 95 % for PETsv3 and 91 % for PETsv4. However, PPV was relatively low in all PETsv. Best predictors of relapse were result of interim PET, HL versus NHL type, SIMaxSUV, age ≥ 60. Best predictors of FP were previous radiotherapy and hot spots unrelated to the disease in final PET. CONCLUSIONS: The present study confirms the need of restricting the use of surveillance PET/CT to patients at high risk of relapse. Information derived from PET/CT performed at baseline (metabolic disease burden), in the course (PET2) and at the end of therapy (unrelated hot spots) can help to select high-risk patients and also to identify patients more likely to present equivocal findings at PETsv.

Parkinson's Disease Sleep Scale 2: application in an Italian population.

Sleep disturbances and nocturnal disabilities are common in Parkinson's Disease (PD). The PD sleep scale, second version (PDSS-2), has been proposed as a helpful tool for measuring sleep disorders in PD. We aimed to validate the Italian version of the PDSS-2. One hundred and twenty-three consecutive PD outpatients (76 males) were evaluated by means of PDSS-2, Epworth Sleepiness Scale, Hamilton Depression Rating Scale, Parkinson's Disease Quality of Life Questionnaire (self-administered scales), Unified Parkinson's Disease Rating (motor section) and Hoehn and Yahr Scales, and Mini Mental State Examination. PDSS-2 internal consistency was satisfactory (Cronbach's α: 0.77) with significant item to total score correlation and high intra-class correlation coefficient for test-retest reliability (0.943). Total PDSS-2 score was correlated with the scores on all other clinical scales. The factor analysis identified five factors, related to five areas of nocturnal disturbances, similarly as the original PDSS-2. The five factors mainly reflected: (1) nocturnal movement-related problems, (2) quality of sleep, (3) dreaming distress, (4) fragmentation of sleep and (5) insomnia symptoms. The PDSS-2 scale has confirmed its usefulness in evaluating sleep problems in Italian PD patients.

Brain (18)F-DOPA PET and cognition in de novo Parkinson's disease.

PURPOSE: The role of mesocortical dopaminergic pathways in the cognitive function of patients with early Parkinson's disease (PD) needs to be further clarified. METHODS: The study groups comprised 15 drug-naive patients with de novo PD and 10 patients with essential tremor (controls) who underwent (18)F-DOPA PET (static acquisition, normalization on mean cerebellar counts) and an extended neuropsychological test battery. Factor analysis with varimax rotation was applied to the neuropsychological test scores, to yield five factors from 16 original scores, which explained 82 % of the total variance. Correlations between cognitive factors and (18)F-DOPA uptake were assessed with SPM8, taking age and gender as nuisance variables. RESULTS: (18)F-DOPA uptake was significantly lower in PD patients than in controls in the bilateral striatum, mainly in the more affected (right) hemisphere, and in a small right temporal region. Significant positive correlations were found only in PD patients between the executive factor and (18)F-DOPA uptake in the bilateral anterior cingulate cortex (ACC) and the middle frontal gyrus, between the verbal fluency factor and (18)F-DOPA uptake in left BA 46 and the bilateral striatum, and between the visuospatial factor and (18)F-DOPA uptake in the left ACC and bilateral striatum. No correlations were found between (18)F-DOPA uptake and either the verbal memory factor or the abstraction-working memory factor. CONCLUSION: These data clarify the role of the mesocortical dopaminergic pathways in cognitive function in early PD, highlighting the medial frontal lobe, anterior cingulate, and left BA 46 as the main sites of cortical correlation with executive and language functions.

Automatic semi-quantification of [123I]FP-CIT SPECT scans in healthy volunteers using BasGan version 2: results from the ENC-DAT database.

PURPOSE: The aim of this study was to assess striatal dopamine transporter (DAT) availability in a large group of normal subjects. METHODS: The study included 122 healthy subjects, aged 18-83 years, recruited in the multicentre 'ENC-DAT' study (promoted by the European Association of Nuclear Medicine). Brain single photon emission computed tomography (SPECT) was acquired by means of dual-head cameras 3 h after [(123)I]FP-CIT administration. Specific to nondisplaceable binding ratios (SBRs) in the basal ganglia were computed using the 'BasGan' software, allowing automatic value extraction with partial volume effect correction. Multicentre camera inhomogeneity was taken into account by calibrating values on basal ganglia phantom data. SBR in each caudate nucleus (C) and putamen (P) were the dependent variables in a repeated measures general linear model analysis; age, gender, handedness and body mass index (BMI) were the independent variables. RESULTS: SBR values in C and P were significantly associated with age (mean rate decrease with age: 0.0306 per year, or 0.57 % of the general mean; p < 0.0001) and gender (women had higher values; p = 0.015), while no significant effect was found for handedness and BMI. A significant interaction was found between age and region (p < 0.0001) as the age-related decline was 0.028 for left C, 0.026 for right C and 0.034 for both P. P/C ratio analysis confirmed that age-related SBR decrease was stronger in P than in C (p < 0.0001). No significant effect was found for season or time of the day when the scan was acquired by analysing the residual of SBR values in C and P, after subtraction of age and gender effects. CONCLUSION: This study confirms the dependency of DAT on ageing and highlights the gender differences in a large sample of healthy subjects, while it does not support the dependency of DAT on BMI, handedness, circadian rhythm or season.

Inflammation markers correlate with common carotid intima-media thickness in patients perinatally infected with human immunodeficiency virus 1.

OBJECTIVES: To investigate common carotid intima-media thickness in a cohort of patients who were vertically infected with human immunodeficiency virus 1 (HIV-1). METHODS: We conducted a cross-sectional observational study. Human immunodeficiency virus 1-infected patients were compared with age-, sex-, and body mass index-matched healthy participants. Common carotid intima-media thickness was measured in all participants on both sides of the neck, and the mean intima-media thickness was calculated. Metabolic parameters and markers of inflammation were measured only in HIV-1-infected patients. Statistical analysis was performed by multiple regression and by a matrix of Pearson correlation coefficients. The Student t test was used to compare mean common carotid intima-media thickness values between groups. RESULTS: Forty patients (21 female) with HIV-1 infection acquired from birth with a mean age ± SD of 16.3 ± 4.7 years and 27 healthy participants (11 female) with a mean age of 17.7 ± 4.6 years were included in the study. Mean common carotid intima-media thickness in the HIV-1-infected group (0.450 ± 0.088 mm) was significantly higher (P < .05) than in the control group (0.407 ± 0.079 mm). No significant association was found between intima-media thickness and a specific antiretroviral regimen, exposure to combined antiretroviral agents, and HIV status. In multiple regression analyses, higher levels of insulin (P= .007) and elevated levels of glycated hemoglobin (P= .01) were associated with intima-media thickness changes. CONCLUSIONS: Patients perinatally infected with HIV have increased common carotid intima-media thickness compared with healthy individuals. These changes were more pronounced with increasing age and inflammation markers. Interventions that improve cardiovascular risk profiles should be considered in HIV-infected young adults.

Slow EEG rhythms and inter-hemispheric synchronization across sleep and wakefulness in the human hippocampus.

Converging data that attribute a central role to sleep in memory consolidation have increased the interest to understand the characteristics of the hippocampal sleep and their relations with the processing of new information. Neural synchronization between different brain regions is thought to be implicated in long-term memory consolidation by facilitating neural communication and by promoting neural plasticity. However, the majority of studies have focused their interest on intra-hippocampal, rhinal-hippocampal or cortico-hippocampal synchronization, while inter-hemispheric synchronization has been so far neglected. To clarify the features of spontaneous human hippocampal activity and to investigate inter-hemispheric hippocampal synchronization across vigilance states, pre-sleep wakefulness and nighttime sleep were recorded from right and left homologous hippocampal loci using stereo-EEG techniques. Hence, quantitative and inter-hemispheric coherence analyses of hippocampal activity across sleep and waking states were carried out. The results showed the presence of delta activity in human hippocampal spontaneous EEG also during wakefulness. The activity in the delta range exhibited a peculiar bimodal distribution, namely a low frequency non-oscillatory activity (up to 2 Hz) synchronized between hemispheres mainly during wake and REM sleep, and a faster oscillatory rhythm (2-4 Hz). The latter was less synchronized between the hippocampi and seemed reminiscent of animal RSA (rhythmic slow activity). Notably, the low-delta activity showed high inter-hemispheric hippocampal coherence during REM sleep and, to a lesser extent, during wakefulness, paralleled by a (unexpected) decrease of coherence during NREM sleep. Therefore, low-delta hippocampal state-dependent synchronization starkly contrasts with neocortical behavior in the same frequency range. Further studies might shed light on the role of these low frequency rhythms in the encoding processes during wakefulness and in the consolidation processes during subsequent sleep.

The short cognitive evaluation battery in cognitive disorders of the elderly--Italian version.

AIMS: To validate the Italian version of the Short Cognitive Evaluation Battery (SCEB), consisting of 4 tests (temporal orientation, five words, clock drawing and verbal fluency) in healthy controls (CONT), patients with mild Alzheimer's disease (AD), mild cognitive impairment (MCI), and major depressive disorder (DEP). METHODS: Twenty-nine AD patients (mean Mini-Mental State Examination, MMSE, score: 22.1 ± 3.1), 27 MCI patients (mean MMSE score: 26.5 ± 2.0), 27 depressed patients (mean MMSE score: 26.9 ± 2.8), and 48 controls (mean MMSE score: 29.7 ± 0.5) were enrolled. RESULTS: MANCOVA showed highly significant (p < 0.0001) difference among groups. As for total SCEB score, AD were separated from CONT with high accuracy (93%; with sensitivity 93%, specificity 92%, area under ROC curve, AUC, 0.96) and from DEP with satisfying accuracy (84%; with sensitivity 76%, specificity 93%, AUC 0.84). Results in MCI versus CONT comparison yielded more moderate accuracy (80%; with sensitivity 70%, specificity 87%, AUC 0.80), which increased in the subgroup of MCI patients who later converted to AD (85%; with sensitivity 75%, specificity 83%, AUC 0.86). The direct comparison between MCI converters and nonconverters did not yield accurate results. CONCLUSION: The Italian version of the SCEB is a short (between 6 min in CONT and 12 min in DEP) screening tool in cognitive disorders of the elderly, and is potentially useful in clinical practice.

Dissociated wake-like and sleep-like electro-cortical activity during sleep.

Sleep is traditionally considered a global process involving the whole brain. However, recent studies have shown that sleep depth is not evenly distributed within the brain. Sleep disorders, such as sleepwalking, also suggest that EEG features of sleep and wakefulness might be simultaneously present in different cerebral regions. In order to probe the coexistence of dissociated (wake-like and sleep-like) electrophysiological behaviors within the sleeping brain, we analyzed intracerebral electroencephalographic activity drawn from sleep recordings of five patients with pharmacoresistant focal epilepsy without sleep disturbances, who underwent pre-surgical intracerebral electroencephalographic investigation. We applied spectral and wavelet transform analysis techniques to electroencephalographic data recorded from scalp and intracerebral electrodes localized within the Motor cortex (Mc) and the dorso-lateral Prefrontal cortex (dlPFc). The Mc showed frequent Local Activations (lasting from 5 to more than 60s) characterized by an abrupt interruption of the sleep electroencephalographic slow waves pattern and by the appearance of a wake-like electroencephalographic high frequency pattern (alpha and/or beta rhythm). Local activations in the Mc were paralleled by a deepening of sleep in other regions, as expressed by the concomitant increase of slow waves in the dlPFc and scalp electroencephalographic recordings. These results suggest that human sleep can be characterized by the coexistence of wake-like and sleep-like electroencephalographic patterns in different cortical areas, supporting the hypothesis that unusual phenomena, such as NREM parasomnias, could result from an imbalance of these two states.

Brain perfusion correlates of cognitive and nigrostriatal functions in de novo Parkinson's disease.

PURPOSE: Subtle cognitive impairment is recognized in the first stages of Parkinson's disease (PD), including executive, memory and visuospatial dysfunction, but its pathophysiological basis is still debated. METHODS: Twenty-six consecutive, drug-naïve, de novo PD patients underwent an extended neuropsychological battery, dopamine transporter (DAT) and brain perfusion single photon emission computed tomography (SPECT). We previously reported that nigrocaudate impairment correlates with executive functions, and nigroputaminal impairment with visuospatial abilities. Here perfusion SPECT was first compared between the PD group and age-matched controls (CTR). Then, perfusion SPECT was correlated with both DAT SPECT and four neuropsychological factors by means of voxel-based analysis (SPM8) with a height threshold of p < 0.005 at peak level and p < 0.05 false discovery rate-corrected at cluster level. Both perfusion and DAT SPECT images were flipped in order to have the more affected hemisphere (MAH), defined clinically, on the same side. RESULTS: Significant hypoperfusion was found in an occipital area of the MAH in PD patients as compared to CTR. Executive functions directly correlated with brain perfusion in bilateral posterior cingulate cortex and precuneus in the less affected hemisphere (LAH), while verbal memory directly correlated with perfusion in the precuneus, inferior parietal lobule and superior temporal gyrus in the LAH. Furthermore, positive correlation was highlighted between nigrocaudate and nigroputaminal impairment and brain perfusion in the precuneus, posterior cingulate and parahippocampal gyri of the LAH. CONCLUSION: These data support the evidence showing an early involvement of the cholinergic system in the early cognitive dysfunction and point to a more relevant role of parietal lobes and posterior cingulate in executive functions in PD.

Stress symptoms and Coronavirus disease 2019 (COVID-19): a comparative study between Attention Deficit Hyperactivity Disorder and typically developing children and adolescents.

BACKGROUND: Coronavirus disease 2019 (COVID-19) related confinement severely impacted people wellbeing. Many studies focused on general population, although it is reasonable to expect that patients with neurodevelopmental disorders might have been at higher risk. Children/adolescents with Attention Deficit/Hyperactivity Disorder (ADHD) might be potentially more vulnerable, due to their intolerance to forced restrictions that limit stimulating experiences, to obligation to follow instructions and to acceptation of imposed rules We aimed to compare stress-related behavioral changes of the first COVD-19 related confinement among 6-18 years old ADHD and typically developing subjects. METHODS: Two parent-proxy online surveys have been employed, shared via social media. Symptoms of acute stress related to the pandemic and a question about family members/households' COVID-19 positivity have been listed in 8 yes/no items. Chi-squared tests were applied. RESULTS: Final sample consisted of 1078 typically developing subjects and 979 ADHD. Exaggerated startle response, difficulties in waking-up, angry mood as well as COVID-19 related fears were more prevalent among ADHD vs. typically developing subjects. typically developing subjects showed higher prevalence of research for information about COVID-19 and worries about death. CONCLUSIONS: In conclusion, the COVID-19 experience significantly impacted children and adolescents with ADHD to a great extent, similarly to typically developing subjects. ADHD showed more anxious-phobic responses, while typically developing subjects demonstrate more depressive attitudes. Differences in stress symptoms profiles between ADHD and T typically developing subjects warrant to develop distinct strategies of therapeutic interviews.

Sleep disorders in Prader-Willi syndrome, evidence from animal models and humans.

Prader-Willi Syndrome (PWS) is a complex genetic disorder with multiple cognitive, behavioral and endocrine dysfunctions. Sleep alterations and sleep disorders such as Sleep-disordered breathing and Central disorders of hypersomnolence are frequently recognized (either isolated or in comorbidity). The aim of the review is to highlight the pathophysiology and the clinical features of sleep disorders in PWS, providing the basis for early diagnosis and management. We reviewed the genetic features of the syndrome and the possible relationship with sleep alterations in animal models, and we described sleep phenotypes, diagnostic tools and therapeutic approaches in humans. Moreover, we performed a meta-analysis of cerebrospinal fluid orexin levels in patients with PWS; significantly lower levels of orexin were detected in PWS with respect to control subjects (although significantly higher than the ones of narcoleptic patients). Sleep disorders in humans with PWS are multifaceted and are often the result of different mechanisms. Since hypothalamic dysfunction seems to partially influence metabolic, respiratory and sleep/wake characteristics of this syndrome, additional studies are required in this framework.

Impact of the COVID-19 Outbreak on the Behavior of Families in Italy: A Focus on Children and Adolescents.

The COVID-19 pandemic has changed individuals' lifestyles to a great extent, particularly in Italy. Although many concerns about it have been highlighted, its impact on children and adolescents has scarcely been examined. The purpose of this study was to explore behavioral consequences and coping strategies related to the pandemic among families in Italy, by focusing on developmental ages from the caregivers' perspective, 3 weeks into quarantine. An exploratory cross-sectional online survey was conducted over 14 days. Google Forms was employed to conduct the survey. Demographic variables and pre-existing Psychological Weaknesses (PsW) were asked. Adults' sleep difficulties (SleepScore) and coping strategies during quarantine were assessed. Behavioral changes related to quarantine of both subjects completing the form (COVIDStress) and their children (when present) were questioned. Of the 6,871 respondents, we selected 6,800 valid questionnaires; 3,245 declared children aged under 18 years of age (caregivers). PsWs were recognizable in 64.9% among non-caregivers and in 61.5% of caregivers, with a mean PsW score of 1.42 ± 1.26 and 1.30 ± 1.25 over 3 points, respectively. The 95.5% of the non-caregivers and the 96.5% of caregivers presented behavioral changes with a mean COVIDStress of 3.85 ± 1.82 and 4.09 ± 1.79 over 8, respectively (p<0.001). Sleep difficulties were present in the 61.6% of the non-caregivers and in the 64.4% of the caregivers (p < 0.001), who showed higher SleepScores (2.41 ± 1.26 against 2.57 ± 1.38 points over 6, p < 0.001). COVIDStress (and SleepScore) strongly correlated with PsW (p < 0.001). Caregivers observed behavioral changes in their children in the 64.3% of the <6 years old and in 72.5% of 6-18 years old. Caregivers' discomfort related to quarantine (COVIDStress, SleepScore) was strongly associated to behavioral changes in both age groups of <6 and 6-18 (p < 0.001). Presence of caregivers' coping strategies was less associated to behavioral changes in the <6 sample (p = 0.001) but not in the 6-18 (p = 0.06). The COVID-19 pandemic has adversely impacted families in Italy with regard to behavioral changes, especially in high-risk categories with PsWs and caregivers, especially the ones with children aged <6 years. While coping strategies functioned as protective factors, a wide array of stress symptoms had implications for children's and adolescents' behaviors. It is recommended that public children welfare strategies be implemented, especially for higher-psychosocial-risk categories.

The fate of patients with REM sleep behavior disorder and mild cognitive impairment.

OBJECTIVE: To investigate clinical and dopaminergic pre-synaptic brain imaging characteristics of subjects with idiopathic rapid eye movement (REM) behavior disorder (iRBD) and mild cognitive impairment (MCI), and to evaluate the combined predictive value of risk factors for short-term conversion to synucleinopathy. METHOD: In sum, 44 polysomnography (PSG)-confirmed iRBD patients (68.5 ± 7.2 years; 38 males) underwent 123I-FP-CIT-SPECT, comprehensive neuropsychological evaluation, clinical examination and clinical follow-up every six months (30.6 ± 21.5 months). Step-wise logistic regression was applied to identify those features discriminating iRBD patients with (iRBD-MCI; n = 14) and without MCI (normal cognition [NC], iRBD-NC; n = 30). The risk of neurodegeneration was estimated with Kaplan-Meier analysis. Predictors of phenoconversion were assessed with Cox proportional-hazards analysis, adjusting for age, gender and education. A generalized linear model (GLM) was applied to define the best combination of risk factors predicting conversion at follow-up. RESULTS: At baseline, patients with iRBD-MCI showed reduced striatal dopamine transporter (DAT) specific to non-displaceable binding ratio (SBR) and more constipation compared with iRBD-NC patients (p < 0.0001). During the follow-up, 10 patients (22.7%) develop an overt synucleinopathy. GLM analysis showed that patients with orthostatic hypotension, non-motor experiences of daily living, reduced putaminal DAT-SPECT SBR, and cognitive impairment in verbal memory/visuoconstruction abilities were at higher risk of phenoconversion (Hazard Ratio [HR] 26.05; Sensitivity 90%; Specificity 100%; Accuracy 97.73%; Positive Predictive Value 100%; Negative Predictive Value 97.14%). CONCLUSIONS: iRBD-MCI patients showed a more severe dopaminergic neuroimaging and clinical phenotype. Combining clinical and neuroimaging markers allowed to achieve excellent ability in identifying iRBD patients at high risk of developing a synucleinopathy within about three years from diagnosis.