Graphene-Enabled Electrodes for Electrocardiogram Monitoring

The unique parameters of Graphene (GN), notably its considerable electron mobility, high surface area and electrical conductivity are bringing extensive attention into the wearable technologies. This work presents a novel Graphene-based electrode for acquisition of electrocardiogram (ECG). The proposed electrode was fabricated by coating GN on top of metallic layer of Ag/AgCl electrode using chemical vapor deposition (CVD) technique. To investigate the performance of the fabricated GN-based electrode, two types of electrodes were fabricated with different sizes to conduct the signal qualities and the skin-electrode contact impedance measurements. Performances of the GN-enabled electrodes were compared to the conventional Ag/AgCl electrodes in terms of ECG signal quality, skin-electrode contact impedance, signal-to-noise ratio (SNR) and response time. Experimental results showed the proposed GN-based electrodes produced better ECG signals, higher SNR (improved by 8%) and lower contact impedance (improved by 78%) values than conventional ECG electrodes

An exploration of values-based radiography from the perspective of the service user

IntroductionThis article presents the patient outcomes of a CoRIPS funded study which investigated the values of patients in both a diagnostic and therapeutic setting. Little work has been conducted to ascertain patient values and these have previously been presumed.MethodThe study used focus groups, conducted by two experienced researchers, to allow participants the opportunity to discuss their values during imaging examinations and therapeutic treatments. The resultant discussions were audio recorded and transcribed before a thematic analysis was conducted. A sample of the data was reviewed by both researchers to demonstrate credibility and confirmability.ResultsThe main themes identified were related to radiographer professional skills, communication and compassion. Both diagnostic and therapeutic participants shared values despite the difference in their examinations and treatments. They valued being seen as an individual and felt that radiographer communication contributed to this. Patients value being able to access information to help them prepare for their examination or treatment. During the examination they value the skills of the radiographer which they assumed. The patients also value the radiographer taking their time over the examination as they relate this the quality of the examination or treatment. After the imaging or treatment they valued being able to see their images and have their questions answered. Patient responses suggested that their values were not always met in practice.ConclusionThe values of the patients were successfully explored using focus groups. Patient values relate to radiographer professional skills, communication and compassion. Patients do not always have their values met during their examinations and treatments. Radiographers in practice should be mindful that patients value being treated as individuals and be provided with information throughout their imaging and treatment. Recommendations for practice were identified

Neurochemical enhancement of conscious error awareness

How the brain monitors ongoing behavior for performance errors is a central question of cognitive neuroscience. Diminished awareness of performance errors limits the extent to which humans engage in corrective behavior and has been linked to loss of insight in a number of psychiatric syndromes (e.g., attention deficit hyperactivity disorder, drug addiction). These conditions share alterations in monoamine signaling that may influence the neural mechanisms underlying error processing, but our understanding of the neurochemical drivers of these processes is limited.Weconducted a randomized, double-blind, placebo-controlled, cross-over design of the influence of methylphenidate, atomoxetine, and citalopram on error awareness in 27 healthy participants. The error awareness task, a go/no-go response inhibition paradigm, was administered to assess the influence of monoaminergic agents on performance errors during fMRI data acquisition. A single dose of methylphenidate, but not atomoxetine or citalopram, significantly improved the ability of healthy volunteers to consciously detect performance errors. Furthermore, this behavioral effect was associated with a strengthening of activation differences in the dorsal anterior cingulate cortex and inferior parietal lobe during the methylphenidate condition for errors made with versus without awareness. Our results have implications for the understanding of the neurochemical underpinnings of performance monitoring and for the pharmacological treatment of a range of disparate clinical conditions that are marked by poor awareness of errors

Cognitive Function in Children With Type 1 Diabetes: A meta-analysis

OBJECTIVE—To quantify the magnitude and pattern of cognitive difficulties in pediatric type 1 diabetes as well as the effects associated with earlier disease onset and severe hypoglycemia

Network Analysis: Applications for the Developing Brain

Development of the human brain follows a complex trajectory of age-specific anatomical and physiological changes. The application of network analysis provides an illuminating perspective on the dynamic interregional and global properties of this intricate and complex system. Here, we provide a critical synopsis of methods of network analysis with a focus on developing brain networks. After discussing basic concepts and approaches to network analysis, we explore the primary events of anatomical cortical development from gestation through adolescence. Upon this framework, we describe early work revealing the evolution of age-specific functional brain networks in normal neurodevelopment. Finally, we review how these relationships can be altered in disease and perhaps even rectified with treatment. While this method of description and inquiry remains in early form, there is already substantial evidence that the application of network models and analysis to understanding normal and abnormal human neural development holds tremendous promise for future discovery