Levodopa-Induced Dyskinesias and Dyskinesias-Reduced-Self-Awareness in Parkinson’s Disease: A Neurocognitive Approach

Levodopa-induced dyskinesias are one of the most common disabling motor complications in advanced Parkinson’s disease. The subjective perception of motor impairment is a clinical phenomenon that needs to be adequately analyzed. Indeed, the determination of patient dyskinesias-reduced-self-awareness (DRSA) and of its relationship to daily dysfunction is an important aspect of the debate on the gold standard for treatment. As the association with executive dysfunction is a matter of debate and we hypothesize it plays an important role in DRSA, we analyzed metacognitive abilities related to action monitoring and other factors, such as response-inhibition and “Theory of Mind,” which represent a novel explanation of the phenomenon. Moreover, we investigated whether and how a dysfunction in action monitoring related to the cingulo-frontal-ventral striatal circuit would be associated with DRSA using an event-related Go-NoGo fMRI experiment. Our findings suggest the presence of executive dysfunctions in DRSA pathogenesis, with a key leading role played by the cingulo-frontal network as part of a functionally impaired response-inhibition network

Application of the Complex Network Theory in Urban Environments. A Case Study in Catania

Abstract Cities are responsible for the 70% of the world's energy demand and represent the largest source of GHG emissions. The constant growth of cities encourages towards the configuration of urban energy plans in order to make urban areas more sustainable places. In this direction, Decentralized Energy Systems (DES) play an important role in order to improve the efficiency in urban energy consumptions. However, the decentralization of urban energy systems requires a comprehensive evaluation of the energy interactions that can occur among consumers. To this aim, proper mathematical models need to be defined in order to take into account how those interactions occur. In this paper, a mathematical procedure based on the complex network theory is introduced and tested to a neighborhood within the city of Catania

Vulnerability and Social Exclusion: Risk in Adolescence and Old Age

Vulnerability can be defined as the quality or state of being exposed to the possibility of being attacked or harmed, either physically or emotionally. In this chapter, it is defined as a possible ability of an individual or a group to face, manage, and anticipate a possible problem. This concept of vulnerability is associated with that of risk factor for social isolation, and therefore to situations that can also lead to illness and lack of mental and physical health. It can have its roots in poverty, in social exclusion, in ethnicity, in disability or simply in disease or specific developmental phases in life. All these aspects reflect very important vulnerability factors among biological, psychological, social, and behavioral variables. To date, no one has highlighted together two critical moments in life in which this brain area undergoes important variations: adolescence, in which its development occurs, and old age, in which this area goes into cognitive decline with the relative loss of many higher cognitive functions. This knowledge can help to better understand the forms of exclusion due to vulnerability in order to develop new forms of social inclusion

Multi-sector mitigation strategies at the neighbourhood scale

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application of a mapping tool to plan energy saving at a neighborhood scale

Abstract This study proposes the application of a model for the evaluation of the overall energy demand of existing urban neighborhoods, which can be useful when planning energy enhancement strategies at urban scale. The application of this model can be interconnected with the use of a GIS software tool, thus providing the opportunity to perform the energy mapping of city neighborhoods. In the proposed model, the overall energy demand of existing urban neighborhoods is evaluated by considering the three most energy intensive sectors: buildings, transport and urban lighting. However, in this paper the application of the model is only focused on the assessment of the energy demand in the building sector. The proposed methodology is applied to a neighborhood of the municipality of Catania in Southern Italy. The preliminary results are reported in this study: first, the existing energy consumption for space heating and electric appliances is assessed, then the effectiveness of a series of energy-saving strategies is considered, thus providing a tool to implement effective energy planning policies at urban scale

Improved Biocompatibility of Amino‐Functionalized Graphene Oxide in Caenorhabditis elegans

International audienc

Ventricular arrhythmias in young competitive athletes: Prevalence, determinants, and underlying substrate

Whether ventricular arrhythmias (VAs) represent a feature of the adaptive changes of the athlete's heart remains elusive. We aimed to assess the prevalence, determinants, and underlying substrates of VAs in young competitive athletes.Background--Whether ventricular arrhythmias (VAs) represent a feature of the adaptive changes of the athlete's heart remains elusive. We aimed to assess the prevalence, determinants, and underlying substrates of VAs in young competitive athletes. Method and Results--We studied 288 competitive athletes (age range, 16-35 years; median age, 21 years) and 144 sedentary individuals matched for age and sex who underwent 12-lead 24-hour ambulatory electrocardiographic monitoring. VAs were evaluated in terms of number, complexity (ie, couplet, triplet, or nonsustained ventricular tachycardia), exercise inducibility, and morphologic features. Twenty-eight athletes (10%) and 13 sedentary individuals (11%) showed > 10 isolated premature ventricular beats (PVBs) or 651 complex VA (P=0.81). Athletes with > 10 isolated PVBs or 651 complex VA were older (median age, 26 versus 20 years; P=0.008) but did not differ with regard to type of sport, hours of training, and years of activity compared with the remaining athletes. All athletes with > 10 isolated PVBs or 651 complex VA had a normal echocardiographic examination; 17 of them showing > 500 isolated PVBs, exercise-induced PVBs, and/or complex VA underwent additional cardiac magnetic resonance, which demonstrated nonischemic left ventricular late gadolinium enhancement in 3 athletes with right bundle branch block PVBs morphologic features. Conclusions--The prevalence of > 10 isolated PVBs or 651 complex VA at 24-hour ambulatory electrocardiographic monitoring did not differ between young competitive athletes and sedentary individuals and was unrelated to type, intensity, and years of sports practice. An underlying myocardial substrate was uncommon and distinctively associated with right bundle branch block VA morphologic features

Virtual Platform-Based Design Space Exploration of Power-Efficient Distributed Embedded Applications

Networked embedded systems are essential building blocks of a broad variety of distributed applications ranging from agriculture to industrial automation to healthcare and more. These often require specific energy optimizations to increase the battery lifetime or to operate using energy harvested from the environment. Since a dominant portion of power consumption is determined and managed by software, the software development process must have access to the sophisticated power management mechanisms provided by state-of-the-art hardware platforms to achieve the best tradeoff between system availability and reactivity. Furthermore, internode communications must be considered to properly assess the energy consumption. This article describes a design flow based on a SystemC virtual platform including both accurate power models of the hardware components and a fast abstract model of the wireless network. The platform allows both model-driven design of the application and the exploration of power and network management alternatives. These can be evaluated in different network scenarios, allowing one to exploit power optimization strategies without requiring expensive field trials. The effectiveness of the approach is demonstrated via experiments on a wireless body area network application

What Happens When I Watch a Ballet and I Am Dyskinetic? A fMRI Case Report in Parkinson Disease.

The identical sets of neurons – the mirror neuron system (MNS) – can be activated by simply observing specific, specific movements, decoded behaviors and even facial expressions performed by other people. The same neurons activated during observation are those recruited during the same movements and actions. Hence the mirror system plays a central role in observing and executing movements. Little is known about MNS in a neurodegenerative motor disorder, such as Parkinson’s Disease (PD) is

Neuromorphic vibrotactile stimulation of fingertips for encoding object stiffness in telepresence sensory substitution and augmentation applications

We present a tactile telepresence system for real-time transmission of information about object stiffness to the human fingertips. Experimental tests were performed across two laboratories (Italy and Ireland). In the Italian laboratory, a mechatronic sensing platform indented different rubber samples. Information about rubber stiffness was converted into on-off events using a neuronal spiking model and sent to a vibrotactile glove in the Irish laboratory. Participants discriminated the variation of the stiffness of stimuli according to a two-alternative forced choice protocol. Stiffness discrimination was based on the variation of the temporal pattern of spikes generated during the indentation of the rubber samples. The results suggest that vibrotactile stimulation can effectively simulate surface stiffness when using neuronal spiking models to trigger vibrations in the haptic interface. Specifically, fractional variations of stiffness down to 0.67 were significantly discriminated with the developed neuromorphic haptic interface. This is a performance comparable, though slightly worse, to the threshold obtained in a benchmark experiment evaluating the same set of stimuli naturally with the own hand. Our paper presents a bioinspired method for delivering sensory feedback about object properties to human skin based on contingency-mimetic neuronal models, and can be useful for the design of high performance haptic devices