BackgroundEffect of neurofeedback training (NFT) on enhancement of cognitive function or amelioration of clinical symptoms is inconclusive. The trainability of brain rhythm using a neurofeedback system is uncertainty because various experimental designs are used in previous studies. The current study aimed to develop a portable wireless NFT system for alpha rhythm and to validate effect of the NFT system on memory with a sham-controlled group.MethodsThe proposed system contained an EEG signal analysis device and a smartphone with wireless Bluetooth low-energy technology. Instantaneous 1-s EEG power and contiguous 5-min EEG power throughout the training were developed as feedback information. The training performance and its progression were kept to boost usability of our device. Participants were blinded and randomly assigned into either the control group receiving random 4-Hz power or Alpha group receiving 8–12-Hz power. Working memory and episodic memory were assessed by the backward digital span task and word-pair task, respectively.ResultsThe portable neurofeedback system had advantages of a tiny size and long-term recording and demonstrated trainability of alpha rhythm in terms of significant increase of power and duration of 8–12 Hz. Moreover, accuracies of the backward digital span task and word-pair task showed significant enhancement in the Alpha group after training compared to the control group.ConclusionsOur tiny portable device demonstrated success trainability of alpha rhythm and enhanced two kinds of memories. The present study suggest that the portable neurofeedback system provides an alternative intervention for memory enhancement.

Background Sleep problem or disturbance often exists in pain or neurological/psychiatric diseases. However, sleep scoring is a time-consuming tedious labor. Very few studies discuss the 5-stage (wake/NREM1/NREM2/transition sleep/REM) automatic fine analysis of wake–sleep stages in rodent models. The present study aimed to develop and validate an automatic rule-based classification of 5-stage wake–sleep pattern in acid-induced widespread hyperalgesia model of the rat. Results The overall agreement between two experts’ consensus and automatic scoring in the 5-stage and 3-stage analyses were 92.32% ( κ = 0.88) and 94.97% ( κ = 0.91), respectively. Standard deviation of the accuracy among all rats was only 2.93%. Both frontal–occipital EEG and parietal EEG data showed comparable accuracies. The results demonstrated the performance of the proposed method with high accuracy and reliability. Subtle changes exhibited in the 5-stage wake–sleep analysis but not in the 3-stage analysis during hyperalgesia development of the acid-induced pain model. Compared with existing methods, our method can automatically classify vigilance states into 5-stage or 3-stage wake–sleep pattern with a promising high agreement with sleep experts. Conclusions In this study, we have performed and validated a reliable automated sleep scoring system in rats. The classification algorithm is less computation power, a high robustness, and consistency of results. The algorithm can be implanted into a versatile wireless portable monitoring system for real-time analysis in the future.

In this paper numerous alternative treatments in addition to pharmacological therapy are proposed for their use in epileptic patients. Epileptic animal models can play a crucial role in the performance evaluation of new therapeutic techniques. The objective of this research is to first develop various epileptic rat models; second, develop a portable wireless closed-loop seizure controller including on-line seizure detection and real-time electrical stimulation for seizure elimination; and third, apply the developed seizure controller to the animal models to perform on-line seizure elimination. The closed-loop seizure controller was applied to three Long-Evans rats with spontaneous spike-wave discharges (non-convulsive) and three Long-Evans rats with epileptiform activities induced by pentylenetetrazol (PTZ) injection (convulsive) for evaluation. The seizure detection accuracy is greater than 92% (up to 99%), and averaged seizure detection latency is less than 0.6 s for both spontaneous non-convulsive and PTZ-induced convulsive seizures. The average false stimulation rate is 3.1%. Near 30% of PTZ-induced convulsive seizures need more than two times of 0.5 s electrical stimulation for suppression and 90% of the non-convulsive seizures can be suppressed by only one 0.5 s electrical stimulation.

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An international innovative teaching group from different Spain) and biomedical scientists registered by the Health and Care Professions Council (HCPC, UK) are developing a complete e-learning package in medical parasitology for undergraduate and postgraduate students that study Health Sciences. This package, named DMU e-Parasitology, is accessible through the DMU website (http://parasitology.dmu.ac.uk) and will present different modules including a virtual laboratory module for the study of traditional and novel biomedical laboratory techniques and equipment for detecting, identifying and studying human pathogens, specifically parasites. These techniques could also be potentially used to study other pathogens such as bacteria or viruses. The virtual biomedical laboratory is under development, but is available in the DMU website here: http://parasitology.dmu.ac.uk/learn/laboratory.htm. To develop this new module of the DMU e-Parasitology, we are using Storyline 360 software and the scaffolding and methods used to build the theoretical module (Peña-Fernández et al., 2017) [1]. To facilitate the navigation, study and comprehension of the final user, we have divided the virtual laboratory into a series of sub-sections that include different units; the sub-sections so far are: microscopes (with units such as the electron microscope); molecular biology (e.g. polymerase chain reaction and gel electrophoresis); biological safety cabinets and cell/parasite culture; biochemical and immunological techniques (e.g. magnetic immunoseparation); histology (e.g. microtome) and staining techniques (e.g. Kinyoun staining). The virtual laboratory units are highly interactive and present short videos of academics and/or technicians working in real conditions with the different laboratory equipment such as a thermocycler, a microtome, or a biological safety cabinet, as well as performing a specific technique such as a staining to determine pathogens. Therefore, the user of this virtual environment will receive a complete and "real" experience of the work in a biomedical laboratory. The DMU e-Parasitology package, and specifically its virtual laboratory environment, could help technicians and students across the world to learn how to work in a biomedical laboratory as well as to perform techniques to identify and diagnose human pathogens such as microsporidia or Plasmodium spp. Thus, the virtual resource is supported by a virtual library that includes a real collection of clinical slides that will provide the user with the functionality of a light and/or an immunofluorescence microscope. In conclusion, the virtual laboratory may serve as a high quality and reliable on-line environment for the learning of techniques and equipment. These resources can be used to improve the learning of undergraduate and postgraduate students of human health sciences as well as to develop CPD training. Moreover, the virtual laboratory module may impact in the teaching of laboratory techniques and skills in developing countries due to their limited resou...