Multimodal brain-controlled system for rehabilitation training: Combining asynchronous online brain-computer interface and exoskeleton.

BACKGROUND: Traditional therapist-based rehabilitation training for patients with movement impairment is laborious and expensive. In order to reduce the cost and improve the treatment effect of rehabilitation, many methods based on human-computer interaction (HCI) technology have been proposed, such as robot-assisted therapy and functional electrical stimulation (FES). However, due to the lack of active participation of brain, these methods have limited effects on the promotion of damaged nerve remodeling. NEW METHOD: Based on the neurofeedback training provided by the combination of brain-computer interface (BCI) and exoskeleton, this paper proposes a multimodal brain-controlled active rehabilitation system to help improve limb function. The joint control mode of steady-state visual evoked potential (SSVEP) and motor imagery (MI) is adopted to achieve self-paced control and thus maximize the degree of brain involvement, and a requirement selection function based on SSVEP design is added to facilitate communication with aphasia patients. COMPARISON WITH EXISTING METHODS: In addition, the Transformer is introduced as the MI decoder in the asynchronous online BCI to improve the global perception of electroencephalogram (EEG) signals and maintain the sensitivity and efficiency of the system. RESULTS: In two multi-task online experiments for left hand, right hand, foot and idle states, subject achieves 91.25% and 92.50% best accuracy, respectively. CONCLUSION: Compared with previous studies, this paper aims to establish a high-performance and low-latency brain-controlled rehabilitation system, and provide an independent and autonomous control mode of the brain, so as to improve the effect of neural remodeling. The performance of the proposed method is evaluated through offline and online experiments.

Application of fMRI and Simultaneous fMRI-EEG Neurofeedback in Post-Stroke Motor Rehabilitation.

This article discusses the contribution of fMRI- and fMRI-EEG-neurofeedback into recovery of motor function in two subacute stroke patients during the early post-stroke period. Premotor and supplementary motor zones of the cortex were chosen as the targets of voluntary control. Patient 1 received 6 sessions of motor imagery-based fMRI neurofeedback of secondary motor areas activity and Patient 2 received a similar course with the addition of µ- and ß-EEG activity suppression. Both reduced the motor deficit severity, improved on the quality of life, and increased the C3/C4 coherence to other central leads within EEG µ-band. Patient 1 reliably increased the fMRI signal in target areas and improved on the strength and speed of hand movements. Patient 2 (fMRI-EEG) mastered the EEG activity regulation to a greater degree. The authors conclude that pure fMRI neurofeedback and bi-modal fMRI-EEG neurofeedback produce different clinical effects in motor rehabilitation, which confirms the prospect of the closed-loop stroke treatment.

Efficacy of low-cost wireless neurofeedback to modulate brain activity during motor imagery.

OBJECTIVES: Motor imagery can be used as an adjunct to traditional stroke rehabilitation therapies for individuals who have hand and arm impairment resulting from their stroke. The provision of neurofeedback during motor imagery allows individuals to receive real time information regarding their motor imagery-related brain activity. However, the equipment required to administer this feedback is expensive and largely inaccessible to many of the individuals who could benefit from it. Available EEG-based technology provides an accessible, low-cost, wireless alternative to traditional neurofeedback methods, with the tradeoff of lower gain and channel count resulting in reduced signal quality. This study investigated the efficacy of this wireless technology for the provision of motor imagery-related neurofeedback. APPROACH: Twenty-eight healthy individuals participated in a 2-group, double-blinded study which involved imagining performing a unimanual button pressing task while receiving neurofeedback that is either a direct transform of their motor imagery-related brain activity (i.e., real) or is related to someone else's brain activity (i.e., sham). The change in amplitude of 15-30 Hz (beta) rhythmic brain activity elicited during the task blocks was calculated and analyzed across sessions and groups. MAIN RESULTS: We found that individuals who received real neurofeedback showed a statistically significant positive trajectory in modulating the amplitude of the beta rhythm across sessions, while those who received sham feedback showed a negative trajectory. Our results did not indicate a trend of increased lateralization across sessions, as has been shown in previous studies. SIGNIFICANCE: Our main findings replicated previous results with research-grade equipment indicating that there is potential for introducing this wireless technology for the provision of neurofeedback. Given the marginal longitudinal effect of neurofeedback in our study, further study is required to address the limitations associated with this technology before our protocol can be implemented in a clinical setting.

A novel training-free externally-regulated neurofeedback (ER-NF) system using phase-guided visual stimulation for alpha modulation.

The efficacy of neurofeedback is a point of great controversy, because a certain proportion of users cannot properly regulate their brain activities and thereby fail to benefit from neurofeedback. To address the neurofeedback inefficacy problem, the present study is aimed to design and implement a new neurofeedback system that can more effectively and consistently regulate users' brain activities than the conventional way of training users to voluntarily regulate brain activities. The new neurofeedback system delivers external visual stimuli continuously at a specific alpha phase, which is real-time decoded from ongoing alpha wave, to regulate the alpha wave. Experimental results show that the proposed training-free externally-regulated neurofeedback (ER-NF) system can achieve consistent (effective in almost all sessions for almost all users), flexible (either increasing or decreasing peak alpha frequency and alpha power), and immediate (taking or losing effect immediately after stimulation is on or off) modulation effects on alpha wave. Therefore, the ER-NF system holds great potential to be able to more reliably and flexibly modulate cognition and behavior.

Prospects of Synchronous fMRI-EEG Recording as the Basis for Neurofeedback (Exemplified on Patient with Stroke Sequelae).

Synchronous fMRI-EEG mapping of cerebral activity in stroke patients made it possible to implement neurofeedback, a novel and promising therapeutic technology. This method integrates a real-time monitoring of cerebral activity by EEG and fMRI signals and training of the patients to control this activity simultaneously or alternatively via neurofeedback. The targets of such cerebral stimulation are cortical regions controlling arbitrary movements (Brodmann area 4), whereas its aim is optimization of activity in these regions in order to achieve better rehabilitation of stroke patients. The paper discusses the methodical details, advantages, and promise of bimodal neurofeedback treatment.

Dynamics of fMRI and EEG Parameters in a Stroke Patient Assessed during a Neurofeedback Course Focused on Brodmann Area 4 (M1).

A course of interactive stimulation of primary motor cortex (Brodmann area 4) in the brain of a stroke patient resulted in recovery of locomotion volume in the paretic extremities and in improvement of general health accompanied with diverse changes in cerebral activity. During the training course, the magnitude of response in the visual fields of Brodmann areas 17 and 18 decreased; in parallel, the motor areas were supplemented with other ones such as area 24 (the ventral surface of anterior cingulate gyrus responsible for self-regulation of human brain activity and implicated into synthesis of tactile and special information) in company with Brodmann areas 40, 41, 43, 44, and 45. EEG data showed that neurofeedback sessions persistently increased the θ rhythm power in Brodmann areas 7, 39, 40, and 47, while the corresponding powers progressively decreased during a real motion. Both real motion and its virtual sibling constructed by interactive stimulation via neurofeedback were characterized with decreasing powers of the EEG ß rhythm in Brodmann areas 6 and 8. The neurofeedback course decreased the coherence between the left Brodmann area 6 and some other ones examined in α and θ ranges. In the context of real motions, the coherence assessed in the EEG ß range generally increased. Overall, the EEG and fMRI parameters attest to growing similarity between the moieties of functional communications effected in real and imaginary movements during neurofeedback course. The data open the vista for interactive stimulation to rehabilitate stroke patients; they highlight the important role of Brodmann areas in rearrangement of the brain in such patients; finally, the present results revealed the "common nervous pathway" that can be used to restore the capability for imaginary and real movements by a neurofeedback course after stroke.

Using EEG-based brain computer interface and neurofeedback targeting sensorimotor rhythms to improve motor skills: Theoretical background, applications and prospects.

Many Brain Computer Interface (BCI) and neurofeedback studies have investigated the impact of sensorimotor rhythm (SMR) self-regulation training procedures on motor skills enhancement in healthy subjects and patients with motor disabilities. This critical review aims first to introduce the different definitions of SMR EEG target in BCI/Neurofeedback studies and to summarize the background from neurophysiological and neuroplasticity studies that led to SMR being considered as reliable and valid EEG targets to improve motor skills through BCI/neurofeedback procedures. The second objective of this review is to introduce the main findings regarding SMR BCI/neurofeedback in healthy subjects. Third, the main findings regarding BCI/neurofeedback efficiency in patients with hypokinetic activities (in particular, motor deficit following stroke) as well as in patients with hyperkinetic activities (in particular, Attention Deficit Hyperactivity Disorder, ADHD) will be introduced. Due to a range of limitations, a clear association between SMR BCI/neurofeedback training and enhanced motor skills has yet to be established. However, SMR BCI/neurofeedback appears promising, and highlights many important challenges for clinical neurophysiology with regards to therapeutic approaches using BCI/neurofeedback.

Finding Parameters around the Abdomen for a Vibrotactile System: Healthy and Patients with Parkinson's Disease.

Freezing of Gait (FOG) is one of the most disabling gait disorders in Parkinson's Disease (PD), for which the efficacy of the medication is reduced, highlighting the use of non-pharmacological solutions. In particular, patients present less difficulties in overcoming FOG when using feedback and especially with Biofeedback Systems. In this study it is intended to detect the frequency threshold and the minimum interval of perception of the vibrotactile feedback, through a proposed wearable system, a waistband. Experimental tests were carried out that considered a temporal, spatial and spatiotemporal context, for which 15 healthy and 15 PD patients participated. It was detected as threshold frequency 180 Hz and for minimum interval of vibration perception 250 ms. The identification of this threshold frequency and this interval will allow us to select the frequency and the minimum interval of vibration to be used in a Vibrotactile Biofeedback Device for patients with PD, in order to help them to overcome FOG.

Effects of an Integrated Neurofeedback System with Dry Electrodes: EEG Acquisition and Cognition Assessment.

Electroencephalogram (EEG) neurofeedback improves cognitive capacity and behaviors by regulating brain activity, which can lead to cognitive enhancement in healthy people and better rehabilitation in patients. The increased use of EEG neurofeedback highlights the urgent need to reduce the discomfort and preparation time and increase the stability and simplicity of the system's operation. Based on brain-computer interface technology and a multithreading design, we describe a neurofeedback system with an integrated design that incorporates wearable, multichannel, dry electrode EEG acquisition equipment and cognitive function assessment. Then, we evaluated the effectiveness of the system in a single-blind control experiment in healthy people, who increased the alpha frequency band power in a neurofeedback protocol. We found that upregulation of the alpha power density improved working memory following short-term training (only five training sessions in a week), while the attention network regulation may be related to other frequency band activities, such as theta and beta. Our integrated system will be an effective neurofeedback training and cognitive function assessment system for personal and clinical use.

EFFICIENCY OF BIOFEEDBACK THERAPY IN COMPLEX TREATMENT OF RHEUMATOID ARTHRITIS PATIENTS.

Biofeedback is the process of gaining greater awareness of many physiological functions primarily using instruments that provide information on the activity of those same systems, with a goal of being able to manipulate them at will. In this work, the analysis of efficiency of biofeedback therapy in treatment of patients suffering from rheumatoid arthritis (RA) is carried out. This analysis was fulfilled by studying the dynamics of clinical, laboratory and psychological (level of subjective control) indices and their comparison in patients of main and control groups before and after the treatment. During the course of combined therapy alongside biofeedback therapy, an analgesic and anti-inflammatory effects, and improved functional capabilities were noticed in the patients. Thus, the additional use of biofeedback mechanism in complex treatment of RA patients promote increased efficiency of medical and rehabilitation process and improvement of level of self-control in the patients.

Portable wireless neurofeedback system of EEG alpha rhythm enhances memory.

BACKGROUND: Effect 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. METHODS: The 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. RESULTS: The 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. CONCLUSIONS: Our 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.

Attentional and affective consequences of technology supported mindfulness training: a randomised, active control, efficacy trial.

BACKGROUND: Mindfulness training (MT) programs represent an approach to attention training with well-validated mental health benefits. However, research supporting MT efficacy is based predominantly on weekly-meeting, facilitator-led, group-intervention formats. It is unknown whether participants might benefit from neurofeedback-assisted, technology-supported MT (N-tsMT), in which meditation is delivered individually, without the need for a facilitator, travel to a training site, or the presence of a supportive group environment. Mirroring the validation of group MT interventions, the first step in addressing this question requires identifying whether N-tsMT promotes measurable benefits. Here, we report on an initial investigation of a commercial N-tsMT system. METHODS: In a randomized, active control trial, community-dwelling healthy adult participants carried out 6 weeks of daily practice, receiving either N-tsMT (n = 13), or a control condition of daily online math training (n = 13). Training effects were assessed on target measures of attention and well-being. Participants also completed daily post-training surveys assessing effects on mood, body awareness, calm, effort, and stress. RESULTS: Analysis revealed training effects specific to N-tsMT, with attentional improvements in overall reaction time on a Stroop task, and well-being improvements via reduced somatic symptoms on the Brief Symptom Inventory. Attention and well-being improvements were correlated, and effects were greatest for the most neurotic participants. However, secondary, exploratory measures of attention and well-being did not show training-specific effects. N-tsMT was associated with greater body awareness and calm, and initially greater effort that later converged with effort in the control condition. CONCLUSIONS: Preliminary findings indicate that N-tsMT promotes modest benefits for attention and subjective well-being in a healthy community sample relative to an active control condition. However, the findings would benefit from replication in a larger sample, and more intensive practice or more comprehensive MT instruction might be required to promote the broader benefits typically reported in group format, facilitated MT. TRIAL REGISTRATION: Current Controlled Trials ISRCTN43629398 . Retrospectively registered on June 16, 2016.

Bio/neurofeedback / Bio/neurofeedback

Las técnicas de biofeedback (BF) desarrolladas desde los años 60 por la psicología tienen ya una larga historia, en la que han demostrado su utilidad y eficacia terapéutica en una considerable variedad de trastornos clínicos: neurológicos, neuromusculares, cardiovasculares, gastrointestinales, dolores crónicos, problemas dermatológicos, de sueño, respiratorios, trastornos traumáticos y de estrés, entre muchos otros. Entre las aplicaciones prácticas del BF destaca de modo especial el biofeedback electroencefalográfico (BF-EEG), denominado neurofeedback (NF), cuya importancia y aplicaciones clínicas ha crecido y continua creciendo aceleradamente gracias al importante desarrollo acaecido en los campos de la neurociencia y la informática sobre los que se sustenta el NF. El trabajo presentado describe y analiza de forma práctica el proceso y la técnica del BF y del NF, además de sus fundamentos metodológicos, pero, sobre todo, examina desde un punto de vista crítico las principales aplicaciones clínicas de las mismas junto al nivel de utilidad y eficacia terapéutica alcanzado en la actualidad

Biofeedback (BF) techniques were developed by psychology in the 1960s having then a long history in which they have proved their usefulness and therapeutic efficacy in a considerable variety of clinical disorders: neurologic, neuromuscular, cardiovascular, gastrointestinal, chronic pain, dermatological, sleep, respiratory, trauma and stress, among many other disorders. Practical applications of the BF include in particular Electroencephalographic Biofeedback (BF-EEG), known as Neurofeedback (NF), whose importance and clinical applications have grown and continue to grow rapidly thanks to the significant development in the fields of neuroscience and computer science on which NF rests. This paper describes and analyzes the technique and process of BF and NF, apart from their methodological foundations but, above all, from a critical point of view, the paper examines their main clinical applications together with the level of utility and therapeutic effectiveness currently achieved

A cognitive brain-computer interface for patients with amyotrophic lateral sclerosis.

Brain-computer interfaces (BCIs) are often based on the control of sensorimotor processes, yet sensorimotor processes are impaired in patients suffering from amyotrophic lateral sclerosis (ALS). We devised a new paradigm that targets higher-level cognitive processes to transmit information from the user to the BCI. We instructed five ALS patients and twelve healthy subjects to either activate self-referential memories or to focus on a process without mnemonic content while recording a high-density electroencephalogram (EEG). Both tasks are designed to modulate activity in the default mode network (DMN) without involving sensorimotor pathways. We find that the two tasks can be distinguished after only one experimental session from the average of the combined bandpower modulations in the theta- (4-7Hz) and alpha-range (8-13Hz), with an average accuracy of 62.5% and 60.8% for healthy subjects and ALS patients, respectively. The spatial weights of the decoding algorithm show a preference for the parietal area, consistent with modulation of neural activity in primary nodes of the DMN.

One-Class FMRI-Inspired EEG Model for Self-Regulation Training.

Recent evidence suggests that learned self-regulation of localized brain activity in deep limbic areas such as the amygdala, may alleviate symptoms of affective disturbances. Thus far self-regulation of amygdala activity could be obtained only via fMRI guided neurofeedback, an expensive and immobile procedure. EEG on the other hand is relatively inexpensive and can be easily implemented in any location. However the clinical utility of EEG neurofeedback for affective disturbances remains limited due to low spatial resolution, which hampers the targeting of deep limbic areas such as the amygdala. We introduce an EEG prediction model of amygdala activity from a single electrode. The gold standard used for training is the fMRI-BOLD signal in the amygdala during simultaneous EEG/fMRI recording. The suggested model is based on a time/frequency representation of the EEG data with varying time-delay. Previous work has shown a strong inhomogeneity among subjects as is reflected by the models created to predict the amygdala BOLD response from EEG data. In that work, different models were constructed for different subjects. In this work, we carefully analyzed the inhomogeneity among subjects and were able to construct a single model for the majority of the subjects. We introduce a method for inhomogeneity assessment. This enables us to demonstrate a choice of subjects for which a single model could be derived. We further demonstrate the ability to modulate brain-activity in a neurofeedback setting using feedback generated by the model. We tested the effect of the neurofeedback training by showing that new subjects can learn to down-regulate the signal amplitude compared to a sham group, which received a feedback obtained by a different participant. This EEG based model can overcome substantial limitations of fMRI-NF. It can enable investigation of NF training using multiple sessions and large samples in various locations.

The Sensorium: Psychophysiological Evaluation of Responses to a Multimodal Neurofeedback Environment.

The Sensorium is a multimodal neurofeedback environment that reflects a person's physiological state by presenting physiological signals via orchestral sounds from a speaker and multi-coloured lights projected onto a white surface. The software manages acquisition, real-time processing, storage, and sonification of various physiological signals such as the electroencephalogram (EEG) or electrocardiogram (ECG). Each of the 36 participants completed 6 interventional conditions consisting of three different Sensorium-phases with EEG and ECG feedback, a mindfulness meditation, a guided body scan exercise, and a Pseudo-Sensorium using pre-recorded data that did not reflect the subject's own physiology. During all phases EEG, ECG, skin conductance, and respiration were recorded. A feedback questionnaire assessed the participants' subjective reports of changes in well-being, perception, and life-spirit. The results indicate that the Sensorium sessions were not statistically inferior compared to their corresponding active control conditions with respect to improvements in subjective reports concerning well-being and perception. Additionally, the Sensorium was rated as being a more extraordinary experience, as compared to meditation. During the Sensorium conditions the EEG showed lower levels of theta2 (7-8.5 Hz), alpha (9-12 Hz) and beta (12.5-25 Hz) activity. Since participants reported benefit from the Sensorium experience regardless of any prior experience with meditation, we propose this novel method of meditative and extraordinary self-experience to be utilized as a modern alternative to more traditional forms of meditation.

Open-Loop Audio-Visual Stimulation (AVS): A Useful Tool for Management of Insomnia?

Audio Visual Stimulation (AVS), a form of neurofeedback, is a non-pharmacological intervention that has been used for both performance enhancement and symptom management. We review the history of AVS, its two sub-types (close- and open-loop), and discuss its clinical implications. We also describe a promising new application of AVS to improve sleep, and potentially decrease pain. AVS research can be traced back to the late 1800s. AVS's efficacy has been demonstrated for both performance enhancement and symptom management. Although AVS is commonly used in clinical settings, there is limited literature evaluating clinical outcomes and mechanisms of action. One of the challenges to AVS research is the lack of standardized terms, which makes systematic review and literature consolidation difficult. Future studies using AVS as an intervention should; (1) use operational definitions that are consistent with the existing literature, such as AVS, Audio-visual Entrainment, or Light and Sound Stimulation, (2) provide a clear rationale for the chosen training frequency modality, (3) use a randomized controlled design, and (4) follow the Consolidated Standards of Reporting Trials and/or related guidelines when disseminating results.

Efectividad del electromiografía- biofeedback en la incontinencia fecal y la calidad de vida / Effectiveness of electromyography-biofeedback in improving fecal incontinence and quality of life

Introducción. La incontinencia fecal (IF) supone un problema clínico y social que afecta la calidad de vida (CV). Su tratamiento de elección es conservador, y el biofeedback el más recomendado. Objetivo. Conocer las variables clínicas/epidemiológicas asociadas con la IF y valorar la efectividad de un protocolo de tratamiento de electromiografía-biofeedback (EMG-BFB) con electrodos de superficie en la mejora de la CV. Material y métodos. Estudio prospectivo tipo antes/después en 31 pacientes con IF remitidos al Servicio de Rehabilitación de Salamanca entre 2008 y 2014. El tratamiento consistió en 20 sesiones de EMG-BFB bisemanales supervisadas por fisioterapeuta. Se realizó una valoración clínica y de la CV inicial/final con la escala/cuestionario de Wexner/FIQLS. Resultados. Edad media 53 años, género femenino 90,3% (ratio mujer/hombre 9:1). Los factores de riesgo más frecuentes son: historia obstétrica de embarazo/parto (80,6%), distocia (35,5%) y episiotomía (9,7%, p = 0,000). Lesión de esfínteres (38,7%). Prolapso de órganos pélvicos (35,5%, p = 0,000). Enfermedad del tejido conectivo (19,4%, p = 0,05). Cirugía urológica (12,9%, p = 0,000) y colorrectal (16,1%, p = 0,000). Neoplasia asociadas: cérvix/útero (12,9%, p = 0,000), colon (6,5%, p = 0,026 antes, p = 0,082 después). IF grave (67,75%), doble incontinencia (fecal y urinaria) (61,3%). La EMG-BFB mejora la CV significativamente en la escala Wexner y el Cuestionario FIQLS (p < 0,05). Conclusiones. La IF aumenta con la edad, prevalece en mujeres y se asocia fundamentalmente a historia obstétrica de embarazo/parto. Se asocia significativamente con la episiotomía, enfermedades del tejido conectivo, cirugía urológica/colorrectal, neoplasias de cérvix/útero/colon y prolapso de órganos pélvicos. La EMG-BFB constituye una técnica efectiva de tratamiento en los pacientes con IF, al mejorar la clínica y todos los componentes de CV del cuestionario/escala FIQLS/Wexner (AU)

Introduction. Fecal incontinence (FI) is a clinical and social problem that affects health-related quality of life (QoL). The treatment of choice is conservative, with biofeedback being the most widely recommended. Objective. To determine the clinical/epidemiological variables related to FI and to assess the effectiveness of biofeedback with surface electrodes (EMG-BFB) in improving QoL in FI patients. Material and methods. A quasi-experimental prospective before/after FI study was conducted in 31 patients referred to the Rehabilitation Service of Salamanca between 2008 and 2014. The intervention consisted of 20 sessions of EMG-BFB twice weekly, supervised by a physiotherapist. Clinical and before and after QoL assessment was performed with the Wexner/FIQLS scale/questionnaire. Results. The mean age was 53 years, and 90.3% were women (female/male ratio, 9:1). Risk factors were an obstetric history of pregnancy/delivery (80.6%), dystocia (35.5%) and episiotomy (9.7%, P = .000), sphincter injury (38.7%), pelvic organ prolapse (35.5%, P = .000), connective tissue disease (19.4%, P = .05), colorectal (16.1%, P = .000) and urological (12.9%, P = .000) surgery. Associated neoplasms consisted of tumors of the cervix/uterus (12.9%, P = .000) and colon (6.5%, P = .026/P = .082). Severe FI was found in 67.75%, and double incontinence (fecal and urinary) in 61.3%. EMG-BFB significantly improved QoL in the Wexner/FIQLS Scale/Questionnaire (P < .05). Conclusions. FI increases with age, is prevalent in women, and is associated specially with an obstetric history of pregnancy/delivery. FI is significantly associated with episiotomy, connective tissue disease, urological and colorectal surgery, neoplasms of the colon, uterus and cervix, and pelvic organ prolapse. EMG-BFB is effective in improving clinical symptoms and all components of QoL in patients with FI (AU)

Dynamic feature selection applied to the recognition of grasping movements in the control of bioprosthetic hand.

The paper presents novel method of dynamic feature selection (DFS) and its application in the problem of recognition of patient intent in the bioprosthesis control system. In the proposed approach features are selected dynamically, i.e. separately for each classified object according to the local value of usability measure of primary features. The usability measure is determined in the supervised learning procedure using randomized reference model. The performance of the DFS method was experimentally compared with four other feature selection algorithms. The approach developed achieved the highest classification accuracy demonstrating the potential of the DSF method for the control of bioprosthetic hand.

Neurofeedback Training as a New Method in Treatment of Crystal Methamphetamine Dependent Patients: A Preliminary Study.

This study aimed to compare the effectiveness of neurofeedback (NFB) plus pharmacotherapy with pharmacotherapy alone, on addiction severity, mental health, and quality of life in crystal methamphetamine-dependent (CMD) patients. The study included 100 CMD patients undergoing a medical treatment who volunteered for this randomized controlled trial. After being evaluated by a battery of questionnaires that included addiction severity index questionnaire, Symptoms Check List 90 version, and World Health Organization Quality of Life, the participants were randomly assigned to an experimental or a control group. The experimental group received thirty 50-min sessions of NFB in addition to their usual medication over a 2-month period; meanwhile, the control group received only their usual medication. In accordance with this study's pre-test-post-test design, both study groups were evaluated again after completing their respective treatment regimens. Multivariate analysis of covariance showed the experimental group to have lower severity of addiction, better psychological health, and better quality of life in than the control group. The differences between the two groups were statistically significant. These finding suggest that NFB can be used to improve the effectiveness of treatment results in CMD patients.