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Recent years have seen an increase in the use of retinal nerve fiber layer (RNFL) evaluation as an easy-to-use, reproducible, proxy-measure of brain structural abnormalities. Here, we evaluated RNFL thickness in a group of subjects with high functioning autism (HFA) or with Asperger Syndrome (AS) to its potential as a tool to study autism pathophysiology. All subjects underwent high-resolution spectral domain optical coherence tomography to evaluate RNFL thickness. HFA subjects presented with reduced global RNFL thickness compared both to AS subjects and controls. AS subjects showed a reduced nasal quadrant RNFL thickness compared to controls. Verbal-IQ/performance-IQ discrepancy correlated with RNFL thickness. Our data suggest that RNFL evaluation could help in the development of biological markers of autism pathophysiology.

The Internet of Things (IoT) paradigm is currently highly demanded in multiple scenarios and in particular plays an important role in solving medical-related challenges. RF and microwave technologies, coupled with wireless energy transfer, are interesting candidates because of their inherent contactless spectrometric capabilities and for the wireless transmission of sensing data. This article reviews some recent achievements in the field of wearable sensors, highlighting the benefits that these solutions introduce in operative contexts, such as indoor localization and microwave sensing. Wireless power transfer is an essential requirement to be fulfilled to allow these sensors to be not only wearable but also compact and lightweight while avoiding bulky batteries. Flexible materials and 3D printing polymers, as well as daily garments, are widely exploited within the presented solutions, allowing comfort and wearability without renouncing the robustness and reliability of the built-in wearable sensor. [ABSTRACT FROM AUTHOR]

Recent years have seen an increase in the use of retinal nerve fiber layer (RNFL) evaluation as an easy-touse, reproducible, proxy-measure of brain structural abnormalities. Here, we evaluated RNFL thickness in a group of subjects with high functioning autism (HFA) or with Asperger Syndrome (AS) to its potential as a tool to study autism pathophysiology. All subjects underwent high-resolution spectral domain optical coherence tomography to evaluate RNFL thickness. HFA subjects presented with reduced global RNFL thickness compared both to AS subjects and controls. AS subjects showed a reduced nasal quadrant RNFL thickness compared to controls. Verbal-IQ/ performance-IQ discrepancy correlated with RNFL thickness. Our data suggest that RNFL evaluation could help in the development of biological markers of autism pathophysiology. Keywords Autism spectrum disorders * Retinal nerve fiber layer thickness * Optical coherence tomography (OCT) * White matter, Introduction Autism is a neurodevelopmental disorder characterized by communication deficits, social interaction impairments, stereotyped behaviors, and narrowed interests (American Psychiatric Association 2000). Throughout the last decade, the search of the [...]

In the near future, we will be surrounded in our daily lives by a multitude of small and relatively inexpensive computing devices that are equipped with wireless communication and sensing featuring the concept of “pervasive intelligence,” a basis from which we can envision our future world as an Internet of Things/Internet of Everything (IoT/IoE) in terms of both a consumer IoT/IoE and the Industrial IoT. One of the key desired characteristics of an IoT wireless sensor node is its ability to operate autonomously by means of energy harvesting (EH) rather than relying on bulky batteries, which have a limited lifetime. Furthermore, for many of the aforementioned scenarios, wearable solutions are foreseen to further increase the pervasive diffusion of the IoT paradigm, enabling a multitude of devices and individuals to be connected to each other. [ABSTRACT FROM AUTHOR]

This work proposes the design and implementation of a wearable rectifying filtenna (filtering antenna) which is activated and powered wirelessly, to detect the presence of ethanol solutions. The system is implemented on a Rogers RT/Duroid 5880 substrate ($\varepsilon _{r} =2.2$ and thickness: 0.508 mm), whose flexibility facilitates the system wearability. The fluid detection is performed by a resonant stub embedding a microfluidic channel on its end, which resonates as an open circuit at 2.45 GHz when the channel is filled with the ethanol solution and undergoes a dramatic shift on its input impedance behavior when the channel is filled with water or when it is empty. The system is powered wirelessly by means of a 2.45-GHz narrowband antenna, and the frequency selection is performed by a second-order open-end coupled-line filter whose one end is loaded with the resonant stub. The filtenna RF signal is transduced by a full-wave rectifier exploiting low-threshold voltage diodes, and fluid detection is read out through different values of dc-output voltages, allowing an immediate response. The system is designed and optimized by means of full-wave/nonlinear co-simulations and the realized prototype is measured to confirm a safe detection of the tested solution. [ABSTRACT FROM AUTHOR]

In the comment on our paper 'Long-term Cognitive and Behavioral Therapies, Combined with Augmentative Communication, are Related to Uncinate Fasciculus Integrity in Autism' (Pardini et al. 2011), the author of [...]

Background/Aims: Apathy is the most common initial symptom of frontotemporal dementia (FTD) and has been linked to frontal-subcortical dopaminergic system dysfunction. No pharmacological therapy has been approved for the treatment of apathy, but, on the basis of its physiopathological mechanism, we suspected that increasing prefrontal dopaminergic innervation could improve this disabling symptom. Methods: We evaluated a group of 24 nondepressed patients with a diagnosis of the behavioral variant of FTD, in order to determine the effectiveness on apathy of agomelatine, an antidepressant with MT1 and MT2 receptor agonism and 5-HT2C receptor antagonism; the latter leads to an increase in prefrontal dopaminergic and noradrenergic tone. To try to tease out the effects of 5-HT2C antagonism on apathy, patients were randomized, using a cross-over design, to receive either agomelatine 50 mg/day or sustained release melatonin 10 mg/day for 10 weeks in a double-blind procedure. At the end of the follow-up period, subjects receiving melatonin switched to agomelatine for the following 10 weeks. Results: Agomelatine, but not melatonin, was associated with a significant reduction of apathy in FTD subjects and of caregiver distress due to patients' apathy. The switch from melatonin to agomelatine was associated with a reduction in apathetic behavior. Agomelatine was well-tolerated by all enrolled subjects. Conclusions: Our data, albeit preliminary, suggest that agomelatine could represent a novel useful approach to the treatment of apathy in FTD patients. [ABSTRACT FROM AUTHOR]

Background: The clinical and pathogenetic heterogeneity of Autism Spectrum Disorders (ASD) limits our ability to predict its short- and long-term evolution. Aim of this naturalistic study was to observe the clinical evolution of very young children with ASD for 12 months after first diagnosis, in order to identify those children who might develop a more positive trajectory and understand how a wide range of biological, clinical and familial factors can influence prognosis. Methods: Ninety-two children were characterized in terms of family history, prenatal and perinatal variables, and clinical conditions. The sample was divided into four subgroups based on the association of 22 biological, clinical and family history variables. Developmental Quotient (DQ), determined using the Psychoeducational Profile Revised (PEP-R), and symptoms severity, measured by means of the Autism Diagnostic Observation Schedule (ADOS), were evaluated at baseline (T0) and after one year (T1), while receiving treatment as usual. Changes in DQ and ADOS between baseline and follow-up and differences in the short-term evolution of the four subgroups were analyzed. Results: AtT1, 55.4 % of the children demonstrated some gains either of autistic symptomatology or of developmental skills. Mean ADOS score was 13.63 ±3.67 at T0 and 10.85 ± 4.10 at T1 and mean DQ was 0.64 ±0.14 at T0 and 0.66 ±0. 15 at T1. At follow-up, 33.7 % of the children showed an improvement in DQ and 37 % presented a less severe symptomatology, measured by means of ADOS. Overall, 15.2 % of the sample displayed major improvements both on developmental quotient and ADOS severity score; these children presented less EEG abnormalities and familial psychiatric disorders. The four subgroups, based on biological, clinical and familial variables, showed differing trends in terms of evolution. Conclusions: Categorizing very young children with ASD in terms of biological, clinical and familial variables can be instrumental in predicting short-term evolution. This exploratory study highlights the importance of a precise characterization and thorough analysis of interactions among biological and clinical variables, in order to predict the developmental evolution in children with ASD. [ABSTRACT FROM AUTHOR]

Objective: Little is known about outcomes of Autism Spectrum Disorders (ASDs) interventions in real-life settings. The main aim of this naturalistic study was to collect real-life data on the actual ASDs treatment practices in Italy. Methods: A cohort of 48 children undergoing community-based interventions was observed in terms of personal and environmental characteristics, treatment typology and outcomes. Results: An earlier start of treatment was associated with an improvement of autistic symptoms, independently from symptoms severity (p < 0.05), but not with improvements in terms of intelligence quotient (p = 0.8). Children belonging to lower socioeconomic status families began treatment later (48.0 months) than those belonging to middle (39.8 months) or upper (39.2 months) classes (p < 0.05), and received less hours of treatment. Conclusion: The study showed that ASDs interventions should be observed not only in experimental settings, but also in naturalistic environments, so to appraise the actual effectiveness of integrating different treatment methods in community settings. [ABSTRACT FROM AUTHOR]

Purpose: The aim of our study was to non-invasively investigate central nervous system axonal integrity in patients with tuberous sclerosis complex (TSC). Diffuse microstructural white matter abnormalities reflecting axonal disorganization, reduced/altered myelination, or gliosis have been described in individuals with TSC. Optical coherence tomography (OCT) is a fast, easy-to-perform, non-invasive, and cost-efficient method to assess retinal morphology in vivo and to measure the thickness of the retinal nerve fiber layer (RNFL). Methods: In order to assess central nervous system axonal integrity, eight subjects with TSC have been investigated by OCT to evaluate RNFL and they have been compared with matched healthy controls. Results: When comparing mean overall RNFL thicknesses of the TSC group with those of the control group, the TSC group presented with significantly lower RNFL values, compared to the control group, in the temporal quadrant (62.5 ± 6.9 vs. 76.9 ± 5.4; t = 14.438; p < 0.0001). Conclusions: Since a reduced RNFL thickness might be seen as an indicator of chronic axonal degeneration or lack of appropriate neuronal development, our results support the presence of axonal alterations in TSC and also that white matter disorganization could be much more diffuse than originally thought. Since axonal alterations directly derive from mammalian target of rapamycin (mTOR) overactivation, which occurs early during fetus development, the RNFL thinning we observed could represent one of the facets of such early neurodevelopmental abnormalities. [ABSTRACT FROM AUTHOR]

This work describes the design, implementation, and validation of a wireless sensor network for predictive maintenance and remote monitoring in metal-rich, electromagnetically harsh environments. Energy is provided wirelessly at 2.45 GHz employing a system of three co-located active antennas designed with a conformal shape such that it can power, on-demand, sensor nodes located in non-line-of-sight (NLOS) and difficult-to-reach positions. This allows for eliminating the periodic battery replacement of the customized sensor nodes, which are designed to be compact, low-power, and robust. A measurement campaign has been conducted in a real scenario, i.e., the engine compartment of a car, assuming the exploitation of the system in the automotive field. Our work demonstrates that a one radio-frequency (RF) source (illuminator) with a maximum effective isotropic radiated power (EIRP) of 27 dBm is capable of transferring the energy of 4.8 mJ required to fully charge the sensor node in less than 170 s, in the worst case of 112-cm distance between illuminator and node (NLOS). We also show how, in the worst case, the transferred power allows the node to operate every 60 s, where operation includes sampling accelerometer data for 1 s, extracting statistical information, transmitting a 20-byte payload, and receiving a 3-byte acknowledgment using the extremely robust Long Range (LoRa) communication technology. The energy requirement for an active cycle is between 1.45 and 1.65 mJ, while sleep mode current consumption is less than 150 nA, allowing for achieving the targeted battery-free operation with duty cycles as high as 1.7%. [ABSTRACT FROM AUTHOR]

In this work, a flexible and extensive digital platform for Smart Homes is presented, exploiting the most advanced technologies of the Internet of Things, such as Radio Frequency Identification, wearable electronics, Wireless Sensor Networks, and Artificial Intelligence. Thus, the main novelty of the paper is the system-level description of the platform flexibility allowing the interoperability of different smart devices. This research was developed within the framework of the operative project HABITAT (Home Assistance Based on the Internet of Things for the Autonomy of Everybody), aiming at developing smart devices to support elderly people both in their own houses and in retirement homes, and embedding them in everyday life objects, thus reducing the expenses for healthcare due to the lower need for personal assistance, and providing a better life quality to the elderly users. [ABSTRACT FROM AUTHOR]