Apr 06, 2014
Researchers have developed a new way to explore the human brain in virtual reality. The system, called Glass Brain, which is developed by Philip Rosedale, creator of the famous game Second Life, and Adam Gazzaley, a neuroscientist at the University of California San Francisco, combines brain scanning, brain recording and virtual reality to allow a user to journey through a person’s brain in real-time.
Read the full story on Neurogadget
Mar 02, 2014
In this demo video, artist Alex McLeod shows an environment he designed for Interaxon to use at CES in 2011 interaxon.ca/CES#.
The glasses display the scene in 3D and attaches sensors read users brain-states which control elements of the scene.
Jan 23, 2014
Mobile biofeedback of heart rate variability in patients with diabetic polyneuropathy: a preliminary study
Mobile biofeedback of heart rate variability in patients with diabetic polyneuropathy: a preliminary study.
Clin Physiol Funct Imaging. 2014 Jan 20;
Authors: Druschky K, Druschky A
Abstract. Biofeedback of heart rate variability (HRV) was applied to patients with diabetic polyneuropathy using a new mobile device allowing regularly scheduled self-measurements without the need of visits to a special autonomic laboratory. Prolonged generation of data over an eight-week period facilitated more precise investigation of cardiac autonomic function and assessment of positive and negative trends of HRV parameters over time. Statistical regression analyses revealed significant trends in 11 of 17 patients, while no significant differences were observed when comparing autonomic screening by short-term HRV and respiratory sinus arrhythmia at baseline and after the 8 weeks training period. Four patients showed positive trends of HRV parameters despite the expected progression of cardiac autonomic dysfunction over time. Patient compliance was above 50% in all but two patients. The results of this preliminary study indicate a good practicality of the handheld device and suggest a potential positive effect on cardiac autonomic neuropathy in patients with type 2 diabetes.
Dec 24, 2013
Evaluation of neurofeedback in ADHD: The long and winding road.
Biol Psychol. 2013 Dec 6;
Authors: Arns M, Heinrich H, Strehl U
Among the clinical applications of neurofeedback, most research has been conducted in ADHD. As an introduction a short overview of the general history of neurofeedback will be given, while the main part of the paper deals with a review of the current state of neurofeedback in ADHD. A meta-analysis on neurofeedback from 2009 found large effect sizes for inattention and impulsivity and medium effects sizes for hyperactivity. Since 2009 several new studies, including 4 placebo-controlled studies, have been published. These latest studies are reviewed and discussed in more detail. The review focuses on studies employing 1) semi-active, 2) active, and 3) placebo-control groups. The assessment of specificity of neurofeedback treatment in ADHD is discussed and it is concluded that standard protocols such as theta/beta, SMR and slow cortical potentials neurofeedback are well investigated and have demonstrated specificity. The paper ends with an outlook on future questions and tasks. It is concluded that future controlled clinical trials should, in a next step, focus on such known protocols, and be designed along the lines of learning theory.
Dec 08, 2013
Real-Time fMRI Pattern Decoding and Neurofeedback Using FRIEND: An FSL-Integrated BCI Toolbox.
PLoS One. 2013;8(12):e81658
Authors: Sato JR, Basilio R, Paiva FF, Garrido GJ, Bramati IE, Bado P, Tovar-Moll F, Zahn R, Moll J
Abstract. The demonstration that humans can learn to modulate their own brain activity based on feedback of neurophysiological signals opened up exciting opportunities for fundamental and applied neuroscience. Although EEG-based neurofeedback has been long employed both in experimental and clinical investigation, functional MRI (fMRI)-based neurofeedback emerged as a promising method, given its superior spatial resolution and ability to gauge deep cortical and subcortical brain regions. In combination with improved computational approaches, such as pattern recognition analysis (e.g., Support Vector Machines, SVM), fMRI neurofeedback and brain decoding represent key innovations in the field of neuromodulation and functional plasticity. Expansion in this field and its applications critically depend on the existence of freely available, integrated and user-friendly tools for the neuroimaging research community. Here, we introduce FRIEND, a graphic-oriented user-friendly interface package for fMRI neurofeedback and real-time multivoxel pattern decoding. The package integrates routines for image preprocessing in real-time, ROI-based feedback (single-ROI BOLD level and functional connectivity) and brain decoding-based feedback using SVM. FRIEND delivers an intuitive graphic interface with flexible processing pipelines involving optimized procedures embedding widely validated packages, such as FSL and libSVM. In addition, a user-defined visual neurofeedback module allows users to easily design and run fMRI neurofeedback experiments using ROI-based or multivariate classification approaches. FRIEND is open-source and free for non-commercial use. Processing tutorials and extensive documentation are available.
Nov 16, 2013
Neurofeedback training aimed to improve focused attention and alertness in children with ADHD: a study of relative power of EEG rhythms using custom-made software application.
Clin EEG Neurosci. 2013 Jul;44(3):193-202
Authors: Hillard B, El-Baz AS, Sears L, Tasman A, Sokhadze EM
Abstract. Neurofeedback is a nonpharmacological treatment for attention-deficit hyperactivity disorder (ADHD). We propose that operant conditioning of electroencephalogram (EEG) in neurofeedback training aimed to mitigate inattention and low arousal in ADHD, will be accompanied by changes in EEG bands' relative power. Patients were 18 children diagnosed with ADHD. The neurofeedback protocol ("Focus/Alertness" by Peak Achievement Trainer) has a focused attention and alertness training mode. The neurofeedback protocol provides one for Focus and one for Alertness. This does not allow for collecting information regarding changes in specific EEG bands (delta, theta, alpha, low and high beta, and gamma) power within the 2 to 45 Hz range. Quantitative EEG analysis was completed on each of twelve 25-minute-long sessions using a custom-made MatLab application to determine the relative power of each of the aforementioned EEG bands throughout each session, and from the first session to the last session. Additional statistical analysis determined significant changes in relative power within sessions (from minute 1 to minute 25) and between sessions (from session 1 to session 12). Analysis was of relative power of theta, alpha, low and high beta, theta/alpha, theta/beta, and theta/low beta and theta/high beta ratios. Additional secondary measures of patients' post-neurofeedback outcomes were assessed, using an audiovisual selective attention test (IVA + Plus) and behavioral evaluation scores from the Aberrant Behavior Checklist. Analysis of data computed in the MatLab application, determined that theta/low beta and theta/alpha ratios decreased significantly from session 1 to session 12, and from minute 1 to minute 25 within sessions. The findings regarding EEG changes resulting from brain wave self-regulation training, along with behavioral evaluations, will help elucidate neural mechanisms of neurofeedback aimed to improve focused attention and alertness in ADHD.
Aug 07, 2013
What Color is My Arm? Changes in Skin Color of an Embodied Virtual Arm Modulates Pain Threshold.
Front Hum Neurosci. 2013;7:438
Authors: Martini M, Perez-Marcos D, Sanchez-Vives MV
It has been demonstrated that visual inputs can modulate pain. However, the influence of skin color on pain perception is unknown. Red skin is associated to inflamed, hot and more sensitive skin, while blue is associated to cyanotic, cold skin. We aimed to test whether the color of the skin would alter the heat pain threshold. To this end, we used an immersive virtual environment where we induced embodiment of a virtual arm that was co-located with the real one and seen from a first-person perspective. Virtual reality allowed us to dynamically modify the color of the skin of the virtual arm. In order to test pain threshold, increasing ramps of heat stimulation applied on the participants' arm were delivered concomitantly with the gradual intensification of different colors on the embodied avatar's arm. We found that a reddened arm significantly decreased the pain threshold compared with normal and bluish skin. This effect was specific when red was seen on the arm, while seeing red in a spot outside the arm did not decrease pain threshold. These results demonstrate an influence of skin color on pain perception. This top-down modulation of pain through visual input suggests a potential use of embodied virtual bodies for pain therapy.
7-9 January 2014, Lisbon, Portugal
Physiological data in its different dimensions, either bioelectrical, biomechanical, biochemical or biophysical, and collected through specialized biomedical devices, video and image capture or other sources, is opening new boundaries in the field of human-computer interaction into what can be defined as Physiological Computing. PhyCS is the annual meeting of the physiological interaction and computing community, and serves as the main international forum for engineers, computer scientists and health professionals, interested in outstanding research and development that bridges the gap between physiological data handling and human-computer interaction.
Regular Paper Submission Extension: September 15, 2013
Regular Paper Authors Notification: October 23, 2013
Regular Paper Camera Ready and Registration: November 5, 2013
Jul 23, 2013
NeuroMetrix of out of Waltham, MA received FDA clearance for its SENSUS Pain Management System to be used by patients during sleep. This is the first transcutaneous electrical nerve stimulation system to receive a sleep indication from the FDA for pain control.
The device is designed for use by diabetics and others with chronic pain in the legs and feet. It’s worn around one or both legs and delivers an electrical current to disrupt pain signals being sent up to the brain.
May 26, 2013
Cross-Brain Neurofeedback: Scientific Concept and Experimental Platform.
PLoS One. 2013;8(5):e64590
Authors: Duan L, Liu WJ, Dai RN, Li R, Lu CM, Huang YX, Zhu CZ
Abstract. The present study described a new type of multi-person neurofeedback with the neural synchronization between two participants as the direct regulating target, termed as "cross-brain neurofeedback." As a first step to implement this concept, an experimental platform was built on the basis of functional near-infrared spectroscopy, and was validated with a two-person neurofeedback experiment. This novel concept as well as the experimental platform established a framework for investigation of the relationship between multiple participants' cross-brain neural synchronization and their social behaviors, which could provide new insight into the neural substrate of human social interactions.
Using Music as a Signal for Biofeedback.
Int J Psychophysiol. 2013 Apr 23;
Authors: Bergstrom I, Seinfeld S, Arroyo-Palacios J, Slater M, Sanchez-Vives MV
Abstract. Studies on the potential benefits of conveying biofeedback stimulus using a musical signal have appeared in recent years with the intent of harnessing the strong effects that music listening may have on subjects. While results are encouraging, the fundamental question has yet to be addressed, of how combined music and biofeedback compares to the already established use of either of these elements separately. This experiment, involving young adults (N=24), compared the effectiveness at modulating participants' states of physiological arousal of each of the following conditions: A) listening to pre-recorded music, B) sonification biofeedback of the heart rate, and C) an algorithmically modulated musical feedback signal conveying the subject's heart rate. Our hypothesis was that each of the conditions (A), (B) and (C) would differ from the other two in the extent to which it enables participants to increase and decrease their state of physiological arousal, with (C) being more effective than (B), and both more than (A). Several physiological measures and qualitative responses were recorded and analyzed. Results show that using musical biofeedback allowed participants to modulate their state of physiological arousal at least equally well as sonification biofeedback, and much better than just listening to music, as reflected in their heart rate measurements, controlling for respiration-rate. Our findings indicate that the known effects of music in modulating arousal can therefore be beneficially harnessed when designing a biofeedback protocol.
Application of alpha/theta neurofeedback and heart rate variability training to young contemporary dancers: State anxiety and creativity.
Application of alpha/theta neurofeedback and heart rate variability training to young contemporary dancers: State anxiety and creativity.
Int J Psychophysiol. 2013 May 15;
Authors: Gruzelier JH, Thompson T, Redding E, Brandt R, Steffert T
Abstract. As one in a series on the impact of EEG-neurofeedback in the performing arts, we set out to replicate a previous dance study in which alpha/theta (A/T) neurofeedback and heart rate variability (HRV) biofeedback enhanced performance in competitive ballroom dancers compared with controls. First year contemporary dance conservatoire students were randomised to the same two psychophysiological interventions or a choreology instruction comparison group or a no-training control group. While there was demonstrable neurofeedback learning, there was no impact of the three interventions on dance performance as assessed by four experts. However, HRV training reduced anxiety and the reduction correlated with improved technique and artistry in performance; the anxiety scale items focussed on autonomic functions, especially cardiovascular activity. In line with the putative impact of hypnogogic training on creativity A/T training increased cognitive creativity with the test of unusual uses, but not insight problems. Methodological and theoretical implications are considered.
Apr 20, 2012
Neurofeedback using real-time near-infrared spectroscopy enhances motor imagery related cortical activation
Neurofeedback using real-time near-infrared spectroscopy enhances motor imagery related cortical activation.
PLoS One. 2012;7(3):e32234
Authors: Mihara M, Miyai I, Hattori N, Hatakenaka M, Yagura H, Kawano T, Okibayashi M, Danjo N, Ishikawa A, Inoue Y, Kubota K
Abstract. Accumulating evidence indicates that motor imagery and motor execution share common neural networks. Accordingly, mental practices in the form of motor imagery have been implemented in rehabilitation regimes of stroke patients with favorable results. Because direct monitoring of motor imagery is difficult, feedback of cortical activities related to motor imagery (neurofeedback) could help to enhance efficacy of mental practice with motor imagery. To determine the feasibility and efficacy of a real-time neurofeedback system mediated by near-infrared spectroscopy (NIRS), two separate experiments were performed. Experiment 1 was used in five subjects to evaluate whether real-time cortical oxygenated hemoglobin signal feedback during a motor execution task correlated with reference hemoglobin signals computed off-line. Results demonstrated that the NIRS-mediated neurofeedback system reliably detected oxygenated hemoglobin signal changes in real-time. In Experiment 2, 21 subjects performed motor imagery of finger movements with feedback from relevant cortical signals and irrelevant sham signals. Real neurofeedback induced significantly greater activation of the contralateral premotor cortex and greater self-assessment scores for kinesthetic motor imagery compared with sham feedback. These findings suggested the feasibility and potential effectiveness of a NIRS-mediated real-time neurofeedback system on performance of kinesthetic motor imagery. However, these results warrant further clinical trials to determine whether this system could enhance the effects of mental practice in stroke patients.
Mar 31, 2012
Neurofeedback for insomnia: a pilot study of Z-score SMR and individualized protocols.
Appl Psychophysiol Biofeedback. 2011 Dec;36(4):251-64
Authors: Hammer BU, Colbert AP, Brown KA, Ilioi EC
Abstract. Insomnia is an epidemic in the US. Neurofeedback (NFB) is a little used, psychophysiological treatment with demonstrated usefulness for treating insomnia. Our objective was to assess whether two distinct Z-Score NFB protocols, a modified sensorimotor (SMR) protocol and a sequential, quantitative EEG (sQEEG)-guided, individually designed (IND) protocol, would alleviate sleep and associated daytime dysfunctions of participants with insomnia. Both protocols used instantaneous Z scores to determine reward condition administered when awake. Twelve adults with insomnia, free of other mental and uncontrolled physical illnesses, were randomly assigned to the SMR or IND group. Eight completed this randomized, parallel group, single-blind study. Both groups received fifteen 20-min sessions of Z-Score NFB. Pre-post assessments included sQEEG, mental health, quality of life, and insomnia status. ANOVA yielded significant post-treatment improvement for the combined group on all primary insomnia scores: Insomnia Severity Index (ISI p<.005), Pittsburgh Sleep Quality Inventory (PSQI p<.0001), PSQI Sleep Efficiency (p<.007), and Quality of Life Inventory (p<.02). Binomial tests of baseline EEGs indicated a significant proportion of excessively high levels of Delta and Beta power (p<.001) which were lowered post-treatment (paired z-tests p<.001). Baseline EEGs showed excessive sleepiness and hyperarousal, which improved post-treatment. Both Z-Score NFB groups improved in sleep and daytime functioning. Post-treatment, all participants were normal sleepers. Because there were no significant differences in the findings between the two groups, our future large scale studies will utilize the less burdensome to administer Z-Score SMR protocol.
Stress, uncertainty and decision confidence.
Appl Psychophysiol Biofeedback. 2011 Dec;36(4):273-9
Authors: Heereman J, Walla P
Abstract. We successfully manipulated decision confidence in a probabilistic prediction task by means of stress as induced by excessive cognitive demands. In particular, our results indicate that decisions (based on high and low, but not intermediate levels of uncertainty) made under stress (confirmed by skin conductance measures) are associated with increased confidence when outcome probabilities are incompletely known (20% residual uncertainty). A different pattern was found when outcome probabilities were completely known (0% residual uncertainty). Here, stress led to decreased decision confidence when decisions were associated with intermediate levels of uncertainty but had no effect in case of high and low levels of uncertainty. In addition we provide evidence for ambiguity--(understood as implicit-risk) assessment being impaired under stress conditions.
Aug 26, 2010
The Heart Chamber Orchestra consists of classical musicians who use their heartbeats to control a computer composition and visualization environment. To my best knowledge, this is the first example of "group biofeedback".
The musicians are equipped with ECG (electrocardiogram) sensors. A computer monitors and analyzes the state of these 12 hearts in real time. The acquired information is used to compose a musical score with the aid of computer software. It is a living score dependent on the state of the hearts.
While the musicians are playing, their heartbeats influence and change the composition and vice versa. The musicians and the electronic composition are linked via the hearts in a circular motion, a feedback structure. The emerging music evolves entirely during the performance.
The resulting music is the expression of this process and of an organism forming itself from the circular interplay of the individual musicians and the machine.
The sensor network consists of 12 individual sensors; each one is fitted onto the body of a musician. A computer receives the heartbeat data. Software analyzes the data and generates via different algorithms the real-time musical score for the musicians, the electronic sounds and the computer graphic visualization
Below is a video documentation from the Heart Chamber Orchestra performance on the 28th of March 2010 at Kiasma Theatre at Pixelache Festival in Helsinki, Finland.
Dec 20, 2009
From Scientific American
“The process is a wink to a rather futuristic design process,” the couch creators wrote in a press release, “for which a designer merely has to close his or her eyes, or merely rest, to have the brain do all the work, and create the data needed to have the CNC machine cut the shape of the sofa.”
The x-axis of the couch represents Maassen’s brain waves in hertz, while the y-axis shows the amount of alpha activity as a percentage, and the z-axis is the time in milliseconds. Once the foam core of the sofa was completed, the designers covered it by hand in soft gray felt and decorated the valleys of the brain waves with buttons.
The Brainwave Sofa was presented at the Bits ‘n Pieces Exhibition in New York.
Dec 02, 2009
Neurofeedback Outcomes in Clients with Asperger's Syndrome.
Appl Psychophysiol Biofeedback. 2009 Nov 12;
Authors: Thompson L, Thompson M, Reid A
This paper summarizes data from a review of neurofeedback (NFB) training with 150 clients with Asperger's Syndrome (AS) and 9 clients with Autistic Spectrum Disorder (ASD) seen over a 15 year period (1993-2008) in a clinical setting. The main objective was to investigate whether electroncephalographic (EEG) biofeedback, also called neurofeedback (NFB), made a significant difference in clients diagnosed with AS. An earlier paper (Thompson et al. 2009) reviews the symptoms of AS, highlights research findings and theories concerning this disorder, discusses QEEG patterns in AS (both single and 19-channel), and details a hypothesis, based on functional neuroanatomy, concerning how NFB, often paired with biofeedback (BFB), might produce a change in symptoms. A further aim of the current report is to provide practitioners with a detailed description of the method used to address some of the key symptoms of AS in order to encourage further research and clinical work to refine the use of NFB plus BFB in the treatment of AS. All charts were included for review where there was a diagnosis of AS or ASD and pre- and post-training testing results were available for one or more of the standardized tests used. Clients received 40-60 sessions of NFB, which was combined with training in metacognitive strategies and, for most older adolescent and adult clients, with BFB of respiration, electrodermal response, and, more recently, heart rate variability. For the majority of clients, feedback was contingent on decreasing slow wave activity (usually 3-7 Hz), decreasing beta spindling if it was present (usually between 23 and 35 Hz), and increasing fast wave activity termed sensorimotor rhythm (SMR) (12-15 or 13-15 Hz depending on assessment findings). The most common initial montage was referential placement at the vertex (CZ) for children and at FCz (midway between FZ and CZ) for adults, referenced to the right ear. Metacognitive strategies relevant to social understanding, spatial reasoning, reading comprehension, and math were taught when the feedback indicated that the client was relaxed, calm, and focused. Significant improvements were found on measures of attention (T.O.V.A. and IVA), core symptoms (Australian Scale for Asperger's Syndrome, Conners' Global Index, SNAP version of the DSM-IV criteria for ADHD, and the ADD-Q), achievement (Wide Range Achievement Test), and intelligence (Wechsler Intelligence Scales). The average gain for the Full Scale IQ score was 9 points. A decrease in relevant EEG ratios was also observed. The ratios measured were (4-8 Hz)(2)/(13-21 Hz)(2), (4-8 Hz)/(16-20 Hz), and (3-7 Hz)/(12-15 Hz). The positive outcomes of decreased symptoms of Asperger's and ADHD (including a decrease in difficulties with attention, anxiety, aprosodias, and social functioning) plus improved academic and intellectual functioning, provide preliminary support for the use of neurofeedback as a helpful component of effective intervention in people with AS.
Sep 21, 2009
The use of biofeedback in clinical virtual reality: the intrepid project.
Stud Health Technol Inform. 2009;144:128-32
Authors: Repetto C, Gorini A, Algeri D, Vigna C, Gaggioli A, Riva G
In our protocol for the treatment of Generalized Anxiety Disorders we use Virtual reality (VR) to facilitate emotional regulation and the relaxation process. Using a biofeedback biomonitoring system (GSR, HR, Thermal) the patient is made aware of his or her reactions through the modification of some features of the VR environment in real time. Using mental exercises the patient learns to control these physiological parameters and using the feedback provided by the virtual environment is able to gauge his or her success. To test this concept, we planned a randomized controlled trial (NCT00602212), including three groups of 15 patients each (for a total of 45 patients): (1) the VR group, (2) the non-VR group, and (3) the waiting list (WL) group.
Neurofeedback-based motor imagery training for brain-computer interface (BCI).
J Neurosci Methods. 2009 Apr 30;179(1):150-6
Authors: Hwang HJ, Kwon K, Im CH
In the present study, we propose a neurofeedback-based motor imagery training system for EEG-based brain-computer interface (BCI). The proposed system can help individuals get the feel of motor imagery by presenting them with real-time brain activation maps on their cortex. Ten healthy participants took part in our experiment, half of whom were trained by the suggested training system and the others did not use any training. All participants in the trained group succeeded in performing motor imagery after a series of trials to activate their motor cortex without any physical movements of their limbs. To confirm the effect of the suggested system, we recorded EEG signals for the trained group around sensorimotor cortex while they were imagining either left or right hand movements according to our experimental design, before and after the motor imagery training. For the control group, we also recorded EEG signals twice without any training sessions. The participants' intentions were then classified using a time-frequency analysis technique, and the results of the trained group showed significant differences in the sensorimotor rhythms between the signals recorded before and after training. Classification accuracy was also enhanced considerably in all participants after motor imagery training, compared to the accuracy before training. On the other hand, the analysis results for the control EEG data set did not show consistent increment in both the number of meaningful time-frequency combinations and the classification accuracy, demonstrating that the suggested system can be used as a tool for training motor imagery tasks in BCI applications. Further, we expect that the motor imagery training system will be useful not only for BCI applications, but for functional brain mapping studies that utilize motor imagery tasks as well.