Neurofeedback Technology Research Articles

CVR-BBI: an open-source VR platform for multi-user collaborative brain to brain interfaces.

As brain imaging and neurofeedback technologies advance, the brain-to-brain interface (BBI) has emerged as an innovative field, enabling in-depth exploration of cross-brain information exchange and enhancing our understanding of collaborative intelligence. However, no open-source virtual reality (VR) platform currently supports the rapid and efficient configuration of multi-user, collaborative BBIs. To address this gap, we introduce the Collaborative Virtual Reality Brain-to-Brain Interface (CVR-BBI), an open-source platform consisting of a client and server. The CVR-BBI client enables users to participate in collaborative experiments, collect electroencephalogram (EEG) data, and manage interactive multisensory stimuli within the VR environment. Meanwhile, the CVR-BBI server manages multi-user collaboration paradigms, and performs real-time analysis of the EEG data. We evaluated the CVR-BBI platform using the SSVEP paradigm and observed that collaborative decoding outperformed individual decoding, validating the platform's effectiveness in collaborative settings. The CVR-BBI offers a pioneering platform that facilitates the development of innovative BBI applications within collaborative VR environments, thereby enhancing the understanding of brain collaboration and cognition. CVR-BBI is released as an open-source platform, with its source code being available at https://github.com/DILIU1/CVR-BBI.

Neurofeedback Technology Reduces Cortisol Levels in Bruxismitle Patients: Assessment of Cerebral Activity and Anxiolytic Effects of Origanum majorana Essential Oil.

Cerebral activities were measured during 21 essions in NeurOptimal (NO)-trained patients with bruxism. Salivary cortisol levels were quantified for each six training sessions (session 1, 6, 12, 18, 21) in 12 patients with bruxism after performing their pre- and post-NeurOptimal sessions. Their cortisol levels were compared with controls (without stress). We evaluated whether NO overtraining could reduce stress in bruxism after 21 repeated sessions with/without Origanum majorana inhalation by using nasal impregned filters with this essential oil (n = 12). This study enrolled 89 participants (590 salivary samples for cortisol assessment by ELISA ng/mL). Salivary samples were collected at several NO learning sessions (session 1, 6, 12, 18, and 21). In the present study, we assessed whether Origanum majorana essential oil exposure during 21 NO training sessions can promote anxiolytic effects by reducing cortisol levels in Bruxismitle patients or modulate their brain activities. The experimental design also included control subjects without NO training (n = 30) and unstressed participants without bruxism, as well as trained NeurOptimal (n = 5) participants during the 21 sessions, also including control subjects without stress. In our study, NeurOptimal post-training decreased cortisol levels in Bruxismitle patients, reducing stress scores on the Hamilton II scale after 21 NO sessions; finally, Origanum majorana essential oil exposure during NO training could enhance anxiolytic effects of repeated NO in Bruxismitle patients. The parameter divergence as an index of cerebral activity evaluates the reached difference between cerebral activity at pre-learning (PRE) minus post-training (POST) values in Bruxismitle participants with/without Origanum majorana odor exposure during each NO training sessions. As a consequence of NO overtraining, these cerebral activities fluctuate reaching a calm state while anxious states are associated with high divergences. The reduction in divergences when they are close to zero by habituation means a final calm state is reached by NO overtraining, while higher divergences mean anxiogenic states. Collectively, Origanum majorana essential oil inhalation during NO training could decrease salivary cortisol levels after 21 NO training sessions in Bruxismitle.

Research Status and Prospects of Using Brain-Computer Interface Neurofeedback Technology to Treat ADHD

Research Status and Prospects of Using Brain-Computer Interface Neurofeedback Technology to Treat ADHD

Cardiovascular Effects of Neurofeedback Course in Various Sports Adaptation Strategies: an Open Controlled Study

INTRODUCTION. Neurofeedback is effectively applied in clinical practice. Cardiovascular effects (CVEs) from different sports adaptation strategies in course-based β-rhythm neurofeedback are under-studied. AIM. To evaluate the CVEs of the neurofeedback course under different sports adaptation strategies. MATERIALS AND METHODS. The study included 1020 men (18–21 years) during the preparatory training period. Following groups were formed: 1 — cyclic sports (n = 387); 2 — speed-strength sports (n = 255); 3 — single combat (n = 31); 4 — team sports (n = 173); 5 — complex coordination sports (n = 174). The CVEs were assessed with the BOSLAB complex (Russia), with eyes open and muscles relaxed. EEG electrodes were applied bipolarly (Cz-Fz). Session types: graphic (10 minutes), game (16 minutes), where the β-rhythm level was increased and maintained. Indices of systemic pressure, cardiac activity; peripheral vessels, functional changes of the cardiovascular system (CVS) were also examined. RESULTS AND DISCUSSION. Along with improved attention, the 10th session revealed positive CVEs in the 1st, 3rd, 4th and 5th groups with CVS economization. 1st group: CVEs are a desirable response option. 2nd group: ambiguous heterochronic CVEs, with improved systemic pressure and reduced cardiac activity, indices of peripheral vessels, cardiovascular regulation index. These effects, mainly in strength sports, are caused by the long-term sports adaptation strategy, associated with hypoxia and incomplete recovery of the spent resources, causing incomplete adaptation. It is associated with mastering the β-rhythm control skill, different in the nature from the activities with the formed adaptation strategy in the long-term training process. 3rd group (10th session): changes in the brain structure (BS) function formed CVEs involving mechanisms maintaining systemic pressure, regarded as optimal. 4th and 5th groups: optimized BS and CVEs activities. CONCLUSION. The positive CVEs demonstrated expediency of the β-rhythm neurofeedback course. Ambiguous CVEs in groups of speed-strength sports are studied for neurofeedback technology modification.

Changes in Clinical and Network Functional Connectivity Parameters in Motor Networks and Cerebellum Based on Resting-State Functional Magnetic Resonance Imaging Data in Patients with Post-Stroke Hemiparesis Receiving Interactive Brain Stimulation Neurotherapy

Introduction. Interactive brain stimulation (IBS) neurotherapy is an advanced neurofeedback technology (NFB) that involves the organization of a feedback “target” based on signals recorded by functional magnetic resonance imaging (fMRI) and electroencephalography (EEG). The NFB allows patients to volitionally self-regulate their current brain activity and may therefore be a useful treatment option for diseases with altered activation and functional connectivity (FC) patterns.
 Our objective was to assess the effects of IBS on the FC changes in motor networks and correlations between clinical and network parameters in patients with post-stroke hand paresis.
 Materials and methods. Patients with a history of stroke 2 months were randomized into a main group (n = 7) and a control group (n = 7). All the patients followed the stroke physical rehabilitation for 3 weeks. The main group received IBS training, where the patients learned to imagine movements of the paretic hand trying to amplify the fMRI signal from the primary motor cortex (M1) and the supplementary motor area (SMA) on the lesion side with simultaneous desynchronizing the μ- and β-2 EEG rhythms in the central leads. Clinical tests and MRI were performed prior to and immediately after the treatment. FC matrices were constructed using CONN software based on resting-state fMRI data.
 Results. By the end of the training, M1–M1 functional connectivity in the control group weakened, while no changes were observed in the main group. The FC strength was positively correlated with the grip strength (ρ = 0.69; p 0.01) and with the results of the Box and Blocks test (BBT score, ρ = 0.72; p 0.01) and the Fugl-Meyer assessment for upper extremity (FM-UE score, ρ = 0.87; p 0.005). Ipsilesional SMA connectivity with contralesional cerebellum weakened (p 0.05 in the main group). Its strength was negatively correlated with the BBT and FM-UE scores (both tests ρ = –0.44; p 0.05).
 Conclusions. Volitional control of M1 and SMA activity in the lesion hemisphere during the post-stroke IBS training alters the architecture of the entire motor network affecting clinically significant FC types. We studied a possible mechanism of this technology and its potential use in treatment programs.

Consumer-Grade Electroencephalogram and Functional Near-Infrared Spectroscopy Neurofeedback Technologies for Mental Health and Wellbeing.

Neurofeedback, utilizing an electroencephalogram (EEG) and/or a functional near-infrared spectroscopy (fNIRS) device, is a real-time measurement of brain activity directed toward controlling and optimizing brain function. This treatment has often been attributed to improvements in disorders such as ADHD, anxiety, depression, and epilepsy, among others. While there is evidence suggesting the efficacy of neurofeedback devices, the research is still inconclusive. The applicability of the measurements and parameters of consumer neurofeedback wearable devices has improved, but the literature on measurement techniques lacks rigorously controlled trials. This paper presents a survey and literary review of consumer neurofeedback devices and the direction toward clinical applications and diagnoses. Relevant devices are highlighted and compared for treatment parameters, structural composition, available software, and clinical appeal. Finally, a conclusion on future applications of these systems is discussed through the comparison of their advantages and drawbacks.

Structure, place, and clinical efficacy of the interactive brain therapy (stimulation) technology in cerebrovascular diseases

Highlights.Interactive brain stimulation is the next step in neurofeedback technology, it implies the possibility of volitional regulation of the hemodynamic response of specific brain region in order to transform entire brain network and obtain the desired clinical and behavioral dynamics in patients (subjects). One of the indications for using the technology is post-stroke movements disorders when the volitional influence is focused on the motor area of the brain.Background.Neurofeedback and closely related concepts of neural interface system and “interactive brain” are considered as the foundation for developing algorithms for controlling neuroplasticity. Interactive brain therapy (stimulation) is a recently developed type of neurofeedback therapy, which implies dependence of feedback on a hemodynamic response signal recorded by functional magnetic resonance imaging (fMRI). The technology focuses on the region of interest with good accuracy and enables teaching the subject to control the activity of both individual cerebral structures and the functional connectivity between them, causing behavioral metamorphoses.Aim.To demonstrate the study design involving interactive stimulation of secondary motor areas of the brain using a bimodal fMRI-electroencephalography platform, and to describe the dynamics of the motor networks during treatment in patients with hemiparesis in the early period of recovery from stroke.Methods.The study involved 11 patients who were trained to regulate the activity of the secondary motor area and premotor cortex of the affected hemisphere, receiving feedback on the fMRI signal and the activity of the mu- (8–13 Hz) and beta2 (18–26 Hz) EEG ranges of the areas of interest. The block-designed training consisted of 6 sessions (imagination of movement – rest) with an interval of 2–3 days. During treatment the dynamics of the hemodynamic response of the areas of interest was analyzed. In test sessions (before treatment, immediately after the end, and six months later) functional connections within the motor network were reconstructed and hand function was assessed (grip strength, Fugle-Meyer Assessment, Box and Blocks test).Results.Upon completion of treatment, an increase in grip strength and dexterity was achieved; there was an increase in the fMRI signal of the premotor cortex of the ipsilateral hemisphere, and a strengthening of the interhemispheric functional connectivity of the secondary motor areas.Conclusion.fMRI and the interactive brain therapy technology built on its basis, on the one hand, provide the technological foundation for the “interactive brain” and the transformation of spontaneous neuroplasticity into a controlled one, and on the other hand, serve as an important tool for monitoring the process of restructuring of cerebral networks after a stroke, providing the ability to record the emergence (or disappearance) of connectivity between brain regions, and to measure its strength in dynamics, that is, to give a numerical description of neuroplasticity.

Neurofeedback technology based on functional near infrared spectroscopy imaging and its applications

Neurofeedback (NF) technology based on electroencephalogram (EEG) data or functional magnetic resonance imaging (fMRI) has been widely studied and applied. In contrast, functional near infrared spectroscopy (fNIRS) has become a new technique in NF research in recent years. fNIRS is a neuroimaging technology based on hemodynamics, which has the advantages of low cost, good portability and high spatial resolution, and is more suitable for use in natural environments. At present, there is a lack of comprehensive review on fNIRS-NF technology (fNIRS-NF) in China. In order to provide a reference for the research of fNIRS-NF technology, this paper first describes the principle, key technologies and applications of fNIRS-NF, and focuses on the application of fNIRS-NF. Finally, the future development trend of fNIRS-NF is prospected and summarized. In conclusion, this paper summarizes fNIRS-NF technology and its application, and concludes that fNIRS-NF technology has potential practicability in neurological diseases and related fields. fNIRS can be used as a good method for NF training. This paper is expected to provide reference information for the development of fNIRS-NF technology.

Efficacy of Neuro-Feedback Training for PTSD Symptoms: A Systematic Review and Meta-Analysis.

If the negative emotions experienced in life become trauma, they affect daily life. Neuro-feedback technology has recently been introduced as a treatment, but many different neuro-feedback protocols and methods exits. This study conducted a meta-analysis of neuro-feedback training for post-traumatic stress disorder (PTSD) symptoms to evaluate the effects of functional magnetic resonance imaging (fMRI) and electroencephalogram (EEG)-based neuro-feedback training. A search of PubMed, the Cochrane Library, Web of Science, Science Direct, and ClinicalTrials.gov was conducted from January 2011 to December 2021. The studies’ quality was assessed using the Cochrane risk of bias tool and publication bias was assessed by Egger’s regression test. Seven studies that met the inclusion criteria were used for the systematic review and meta-analysis. EEG was more effective than fMRI for PTSD symptoms, and the effect on PTSD symptoms was higher than on anxiety and depression. There was no difference in the effectiveness of the training sessions. Our findings showed that EEG-based neuro-feedback training was more helpful for training PTSD symptoms. Additionally, the methods were also shown to be valid for evaluating clinical PTSD diagnoses. Further research is needed to establish a gold standard protocol for the EEG-based neuro-feedback training (EEG-NFT) method for PTSD symptoms.

Neurofeedback for the Education of Children with ADHD and Specific Learning Disorders: A Review.

Neurofeedback (NF) is a type of biofeedback in which an individual’s brain activity is measured and presented to them to support self-regulation of ongoing brain oscillations and achieve specific behavioral and neurophysiological outcomes. NF training induces changes in neurophysiological circuits that are associated with behavioral changes. Recent evidence suggests that the NF technique can be used to train electrical brain activity and facilitate learning among children with learning disorders. Toward this aim, this review first presents a generalized model for NF systems, and then studies involving NF training for children with disorders such as dyslexia, attention-deficit/hyperactivity disorder (ADHD), and other specific learning disorders such as dyscalculia and dysgraphia are reviewed. The discussion elaborates on the potential for translational applications of NF in educational and learning settings with details. This review also addresses some issues concerning the role of NF in education, and it concludes with some solutions and future directions. In order to provide the best learning environment for children with ADHD and other learning disorders, it is critical to better understand the role of NF in educational settings. The review provides the potential challenges of the current systems to aid in highlighting the issues undermining the efficacy of current systems and identifying solutions to address them. The review focuses on the use of NF technology in education for the development of adaptive teaching methods and the best learning environment for children with learning disabilities.

CHANGES IN PSYCHO-PHYSIOLOGICAL INDICATORS AFTER TRAINING WITH THE USE OF NEURO-BIOFEEDBACK IN PEOPLE WHO HAD COVID-19

COVID-19 is an acute respiratory infection caused by SARS-CoV-2 coronavirus. The most common complications of this disease are viral pneumonia, acute respiratory failure and thromboembolism, up to 20% of patients suffer from long–term symptoms. The purpose of this study was to study the possibility of using neuro-biofeedback method in neuro-correction of patients who had suffered from COVID-19 disease with emotional disorders. The study involved 40 people (27 women and 13 men) who had suffered from COVID-19, experiencing emotional disorders and in need of rehabilitation, of whom 24 individuals made up the main group and 16 individuals – the control group. The age of the participants ranged from 25 to 73 years, the mean age was 42.25±2.59 years. Prior to the beginning and at the end of the study, both groups underwent tests: the "Depression Questionnaire", the State-Trait Anxiety Inventory, determination by the PSM-25 stress scale. The equipment "Neuro V" (Zelenograd, Russia) was used for neuro-biofeedback training. The neuro-feedback technology "Neuro V" makes it possible to use electroencephalography parameters for self-regulation. Stimulation of the alpha rhythm in the frequency range 8-14 Hz helped to change the psychoemotional state of the subjects. The changes were confirmed by valid diagnostic tests "Spielberger–Khanin Anxiety Scale", "Depression Questionnaire", indicators on PSM-25 stress scale, as well as a "subjective" decrease in the severity of the asthenic syndrome. The technique that we propose gave the opportunity to increase not only the indices of alpha rhythm power in the electroencephalography, but the subjective assessment of health as well.

Key technologies for intelligent brain-computer interaction based on magnetoencephalography

Brain-computer interaction (BCI) is a transformative human-computer interaction, which aims to bypass the peripheral nerve and muscle system and directly convert the perception, imagery or thinking activities of cranial nerves into actions for further improving the quality of human life. Magnetoencephalogram (MEG) measures the magnetic field generated by the electrical activity of neurons. It has the unique advantages of non-contact measurement, high temporal and spatial resolution, and convenient preparation. It is a new BCI driving signal. MEG-BCI research has important brain science significance and potential application value. So far, few documents have elaborated the key technical issues involved in MEG-BCI. Therefore, this paper focuses on the key technologies of MEG-BCI, and details the signal acquisition technology involved in the practical MEG-BCI system, the design of the MEG-BCI experimental paradigm, the MEG signal analysis and decoding key technology, MEG-BCI neurofeedback technology and its intelligent method. Finally, this paper also discusses the existing problems and future development trends of MEG-BCI. It is hoped that this paper will provide more useful ideas for MEG-BCI innovation research.

Non-Invasive Brain–Computer Interfaces: Development and Rehabilitation for Motor Disability

Around 61 million people in the United States suffer from different forms of disability; of these, 13.7% suffer from a motor disability. Research in brain–computer interfaces (BCIs) has focused on curbing communication disabilities due to motor impairment. Many challenges and future developments lie ahead in the BCI world. The research on paradigms that guide the way to make communication easy for a person with motor impairment is the pillar of the BCI system. The purpose of this paper is to synthesize the developments in non-invasive brain–computer interface and evaluate them. The authors discuss components of the BCI system and how it is formed. Neurofeedback based on different modalities is also analyzed. The results from initial studies have been successful, but paradigms and neurofeedback technologies have immense development potential, which can change the face of BCI systems for rehabilitation of motor disability.

Efficacy of Neurofeedback Interventions for Cognitive Rehabilitation Following Brain Injury: Systematic Review and Recommendations for Future Research.

Interest in neurofeedback therapies (NFTs) has grown exponentially in recent years, encouraged both by escalating public interest and the financial support of health care funding agencies. Given NFTs' growing prevalence and anecdotally reported success in treating common effects of acquired brain injury (ABI), a systematic review of the efficacy of NFTs for the rehabilitation of ABI-related cognitive impairment is warranted. Eligible studies included adult samples (18+ years) with ABI, the use of neurofeedback technology for therapeutic purposes (as opposed to assessment), the inclusion of a meaningful control group/condition, and clear cognitive-neuropsychological outcomes. Initial automated search identified n = 86 candidate articles, however, only n = 4 studies met the stated eligibility criteria. Results were inconsistent across studies and cognitive domains. Methodological and theoretical limitations precluded robust and coherent conclusions with respect to the cognitive rehabilitative properties of NFTs. We take the results of these systematic analyses as a reflection of the state of the literature at this time. These results offer a constructive platform to further discuss a number of methodological, theoretical, and ethical considerations relating to current and future NFT-ABI research and clinical intervention. Given the limited quantity and quality of the available research, there appears to be insufficient evidence to comment on the efficacy of NFTs within an ABI rehabilitation context at this time. It is imperative that future work increase the level of theoretical and methodological rigour if meaningful advancements are to be made understanding and evaluating NFT-ABI applications.

Involvement of the Red Nucleus in the Compensation of Parkinsonism may Explain why Primates can develop Stable Parkinson\u2019s Disease

Neurological compensatory mechanisms help our brain to adjust to neurodegeneration as in Parkinson’s disease. It is suggested that the compensation of the damaged striato-thalamo-cortical circuit is focused on the intact thalamo-rubro-cerebellar pathway as seen during presymptomatic Parkinson, paradoxical movement and sensorimotor rhythm (SMR). Indeed, the size of the red nucleus, connecting the cerebellum with the cerebral cortex, is larger in Parkinson’s disease patients suggesting an increased activation of this brain area. Therefore, the red nucleus was examined in MPTP-induced parkinsonian marmoset monkeys during the presymptomatic stage and after SMR activation by neurofeedback training. We found a reverse significant correlation between the early expression of parkinsonian signs and the size of the parvocellular part of the red nucleus, which is predominantly present in human and non-human primates. In quadrupedal animals it consists mainly of the magnocellular part. Furthermore, SMR activation, that mitigated parkinsonian signs, further increased the size of the red nucleus in the marmoset monkey. This plasticity of the brain helps to compensate for dysfunctional movement control and can be a promising target for compensatory treatment with neurofeedback technology, vibrotactile stimulation or DBS in order to improve the quality of life for Parkinson’s disease patients.

On one approach to health protection: Musicofthebrain.

This review presents the current status of a method for prevention and timely correction of human functional disturbances that was first proposed by Russian neurologist Ya.I. Levin in 1998 and further developed by the authors. The approach is named "Music of the Brain" and is based on musical or music-like stimulation organized in strict accordance with the biopotentials of a patient's brain. Initial studies on the music of the brain approach were analyzed, and its limitations were noted. To enhance the efficiency and usability of the approach, several combinations of music therapy with neurofeedback technique - musical neurofeedback - were developed. Enhanced efficiency of the approach has been shown for correction of functional disturbances during pregnancy and for elimination of stress-induced states in high technology specialists. The use and advantages of musical neurofeedback technology for increasing human cognitive activity, correcting sleep disturbances and treatment of disorders of attention were verified. After further development and testing the approach may be suited for a wide range of therapeutic and rehabilitation procedures in the protection of public health.

Research development of real-time functional magnetic resonance imaging neuro-feedback technology based on brain network connectivity

The emergence of real-time functional magnetic resonance imaging (rt-fMRI) has provided foundations for neurofeedback based on brain hemodynamics and has given the new opportunity and challenge to cognitive neuroscience research. Along with the study of advanced brain neural mechanisms, the regulation goal of rt-fMRI neurofeedback develops from the early specific brain region activity to the brain network connectivity more accordant with the brain functional activities, and the study of the latter may be a trend in the area. Firstly, this paper introduces basic principle and development of rt-fMRI neurofeedback. Then, it specifically discusses the current research status of brain connectivity neurofeedback technology, including research approaches, experimental methods, conclusions, and so on. Finally, it discusses the problems in this field in the future development.

Brain–Computer Interface and Neurofeedback Technologies: Current State, Problems and Clinical Prospects (Review)

Brain–Computer Interface and Neurofeedback Technologies: Current State, Problems and Clinical Prospects (Review)

Working Memory and Neurofeedback

Impairments in working memory are typically associated with impairments in other cognitive faculties such as attentional processes and short-term memory. This paper briefly introduces neurofeedback as a treatment modality in general, and, more specifically, we review several of the current modalities successfully used in neurofeedback (NF) for the treatment of working memory deficits. Two case studies are presented to illustrate how neurofeedback is applied in treatment. The development of Low Resolution Electromagnetic Tomography (LORETA) and its application in neurofeedback now makes it possible to specifically target deep cortical/subcortical brain structures. Developments in neuroscience concerning neural networks, combined with highly specific yet practical NF technologies, makes neurofeedback of particular interest to neuropsychological practice, including the emergence of specific methodologies for treating very difficult working memory (WM) problems.

A Systematic Review of the Safety and Effect of Neurofeedback on Fatigue and Cognition.

Many cancer survivors continue to experience ongoing symptoms, such as fatigue and cognitive impairment, which are poorly managed and have few effective, evidence-based treatment options. Neurofeedback is a noninvasive, drug-free form of brain training that may alleviate long-term symptoms reported by cancer patients. The purpose of this systematic review of the literature was to describe the effectiveness and safety of neurofeedback for managing fatigue and cognitive impairment. A systematic review of the literature was conducted using Joanna Briggs Institute (JBI) methodology. A comprehensive search of 5 databases was conducted: Medline, CINAHL, AMED, PsycInfo, and Embase. Randomized and nonrandomized controlled trials, controlled before and after studies, cohort, case control studies, and descriptive studies were included in this review. Twenty-seven relevant studies were included in the critical appraisals. The quality of most studies was poor to moderate based on the JBI critical appraisal checklists. Seventeen studies were deemed of sufficient quality to be included in the review: 10 experimental studies and 7 descriptive studies. Of these, only 2 were rated as high-quality studies and the remaining were rated as moderate quality. All 17 included studies reported positive results for at least one fatigue or cognitive outcome in a variety of populations, including 1 study with breast cancer survivors. Neurofeedback interventions were well tolerated with only 3 studies reporting any side effects. Despite issues with methodological quality, the overall positive findings and few reported side effects suggest neurofeedback could be helpful in alleviating fatigue and cognitive impairment. Currently, there is insufficient evidence that neurofeedback is an effective therapy for management of these symptoms in cancer survivors, however, these promising results support the need for further research with this patient population. More information about which neurofeedback technologies, approaches, and protocols could be successfully used with cancer survivors and with minimal side effects is needed. This research will have significance to nurses and physicians in oncology and primary care settings who provide follow-up care and counseling to cancer survivors experiencing debilitating symptoms in order to provide information and education related to evidence-based therapy options.