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Neurofeedback is a kind of biofeedback, which teaches self-control of brain functions to subjects by measuring brain waves and providing a feedback signal. Neurofeedback usually provides the audio and or video feedback. Positive or negative feedback is produced for desirable or undesirable brain activities, respectively. In this review, we provided clinical and technical information about the following issues: (1) Various neurofeedback treatment protocols i.e. alpha, beta, alpha/theta, delta, gamma, and theta; (2) Different EEG electrode placements i.e. standard recording channels in the frontal, temporal, central, and occipital lobes; (3) Electrode montages (unipolar, bipolar); (4) Types of neurofeedback i.e. frequency, power, slow cortical potential, functional magnetic resonance imaging, and so on; (5) Clinical applications of neurofeedback i.e. treatment of attention deficit hyperactivity disorder, anxiety, depression, epilepsy, insomnia, drug addiction, schizophrenia, learning disabilities, dyslexia and dyscalculia, autistic spectrum disorders and so on as well as other applications such as pain management, and the improvement of musical and athletic performance; and (6) Neurofeedback softwares. To date, many studies have been conducted on the neurofeedback therapy and its effectiveness on the treatment of many diseases. Neurofeedback, like other treatments, has its own pros and cons. Although it is a non-invasive procedure, its validity has been questioned in terms of conclusive scientific evidence. For example, it is expensive, time-consuming and its benefits are not long-lasting. Also, it might take months to show the desired improvements. Nevertheless, neurofeedback is known as a complementary and alternative treatment of many brain dysfunctions. However, current research does not support conclusive results about its efficacy.
Neurofeedback is not a new concept. It has been the subject of the study of researchers for several decades. Neurofeedback is a method that assists subjects to control their brain waves consciously. In fact, the electroencephalography (EEG) is recorded during the neurofeedback treatment. Then, its various components are extracted and fed to subjects using online feedback loop in the form of audio, video or their combination. Accordingly, electrophysiological components are separately demonstrated. As an illustration, the power of a signal in a frequency band can be shown by a varying bar graph. During this procedure, the subject becomes aware of the changes occurring during training and will be able to assess his/her progress in order to achieve optimum performance. For instance, the subject tries to improve the brain patterns based on the changes that occur in the sound or movie. Neurofeedback treatment protocols mainly focus on the alpha, beta, delta, theta, and gamma treatment or a combination of them such as alpha/theta ratio, beta/theta ratio, etc. (Dempster, 2012; Vernon, 2005). However, the most commonly used protocols are alpha, beta, theta, and alpha/theta ratio. In this review paper, we discussed various technical and clinical details of different neurofeedback treatment protocols.
Activities of cerebral neurons have rich information about neuronal activities. When neurons are activated, they produce electrical pulses. By placing electrodes on the scalp, the electrical activity of the brain, known as EEG, can be recorded. In turn, EEG is generated by a specific type of synchronous activity of neurons which are known as pyramidal neurons and the electrical output is thus reflected in the following areas of the skin where the electrodes are located. Different patterns of electrical activity, known as brain waves, could be recognized by their amplitudes and frequencies. Frequency indicates how fast the waves oscillate which is measured by the number of waves per second (Hz), while amplitude represents the power of these waves measured by microvolt (μV).
Different frequency components are categorized into delta (less than 4 Hz), theta (4–8 Hz), alpha (8–13 Hz), beta (13–30 Hz), and gamma (30–100 Hz) where each represents a particular physiological function. In summary, delta waves are observed in the EEG signal when a person is asleep, theta waves when a person is sleepy, alpha waves when a person is relaxed and his/her muscles are loose but he/she is awake, beta waves when a person is alert and gamma waves are observed when a person is trying to solve a problem (Table 1). However, there are differences in defining the exact range of frequency components in different studies.
These frequency components have subsets. For example, sensorimotor rhythm (SMR) frequency bands (13–15 Hz) are related to the sensorimotor rhythm and entitled as low beta. Some studies claimed that alpha rhythm has two subsets: lower alpha in the range of 8–10 Hz and upper alpha in the range of 10–12 Hz. Whereas some studies indicate that the alpha rhythm has 3 subsets. These definitions indicate that high and low alpha exhibit different behaviors and performances. It is believed that lower alpha is related to remembering action in semantic memory which is not the case for high alpha (Dempster, 2012).
Electrodes (placed on the scalp) can record those cortical activities of the brain regions that are close to them. Electrode System 10–20 is a method for standardizing areas of the skull and comparing data. The term “10–20” refers to the placement of electrodes over 10% or 20% of the total distance between specified skull locations. Studies have shown that these placements correlate with the corresponding cerebral cortical regions. Of 21 electrodes, 19 are used for recording cortical areas and 2 other electrodes as reference electrodes (Figure 1). The skull regions are named using letters and numbers. Letters correspond with the brain regions and numbers to the hemisphere of the brain or the locations of this hemisphere. The letters F, P, T, O, and C are related to frontal, parietal, temporal, occipital, and central areas, respectively. Odd/even numbers are associated with the left/right side of the brain region. The letter z is used as PZ suggests that scalp location falls along the central line running between the nasion and the inion. FP1 and FP2 are respectively related to the left and right poles of the forehead. Also A1 and A2 are the left right regions of vestibular (ear) region that are two common sites for the placement of reference and ground electrodes (Figure 1) (Dempster, 2012; Evans & Abarbanel, 1999).
Traditionally, two types of unipolar and bipolar montage are used in the neurofeedback treatment. In unipolar mode, the active electrode is placed on the skull and the recorded signal by the active electrode is compared to the second electrode entitled as the reference electrode. The activity of the active electrode minus the activity of the reference electrode represents the brain activity at the active electrode.
On the other hand, in the bipolar mode, two active electrodes are used that are separately placed on the skull. The difference between the recorded signals by these 2 electrodes, is the basis of the neurofeedback (Demos, 2005; Dempster, 2012). One of the advantages of the bipolar recording is the common mode rejection that occurs during the recording procedure. It means that any external artifact occurring at both channels and at the same time, its amplitude and phase are subtracted and the spatial selectivity is improved. For example, eye roll and blink artifacts could be reduced in this way (Evans & Abarbanel, 1999).
Neurologists have observed that lesions occurring in specific regions of the brain produce specific symptoms mostly related to these regions. For example, frontal lobes, FP1, FP2, FPZ, FZ, F3, F4, F7 are responsible for immediate and sustained attention, time management, social skills, emotions, empathy, working memory, executive planning, moral fiber or character. Each region represents a specific feeling or task; Thus identification of these areas provides the best and the most accurate neurofeedback treatment. Parietal lobes, PZ, P3 and P4, solve problems conceptualized by the frontal lobes. Complex grammar, naming of the objects, sentence construction, and mathematical processing are identifiable to the left parietal lobe while map orientation, spatial recognition, and knowing the difference between right and left are entirely functions of the right parietal lobe. Temporal lobes, T3, T4, T5 and T6 have various functions. Left hemisphere functions are associated with reading (word recognition), memory, learning and a positive mood, while right hemisphere functions are related to music, anxiety, facial recognition, and sense of direction.
On the other hand, visual memories, accurate reading and traumatic memories accompanying visual flashbacks are usually processed in the occipital lobes, O2, O1 and . The other functions of this lobe include helping to locate objects in the environment, seeing colors and recognizing drawings and correctly identifying objects, reading, writing, and spelling. Sensory and motor (sensorimotor) cortex, CZ, C3 and C4 have functions of conscious control of all skeletal movements such as typing, playing musical instruments, handwriting, operation of complex machinery, speaking, and the ability to recognize where bodily sensations originate.
Neurologists have mentioned that the motor cortex helps the cerebral cortex to encode both physical and cognitive tasks. Therefore, subjects who have trouble seeing the logical sequence of cognitive tasks may benefit from neurofeedback training along the left hemisphere sensorimotor cortex (C3). Training along the right hemisphere sensorimotor cortex (C4) may invoke feelings, emotions, or calmness. Training at the median or may facilitate a mixed response. The subjects who suffer from epilepsy are usually trained along the sensorimotor cortex (C3) to increase SMR. Also, training along the sensorimotor cortex could be applied for the treatment of stroke, epilepsy, paralysis, ADHD, and disorders of sensory/motor integration (Table 2) (Demos, 2005).
Generally, electrodes are placed in a way that a particular EEG channel is located on one brain side (Bauer & Pllana, 2014). For instance, low beta and beta are trained on the right (C4) and left (C3) brain side, respectively. If they were switched to the opposite brain side, undesirable results could be obtained. For example, training low beta wave on the left side will result in a depletion of mental energy instead of improvements in concentration. Thus, the location of the EEG electrodes during the neurofeedback procedure is important (Evans, 2007).
There are 7 types of Neurofeedback for the treatment of various disorders:
The alpha wave of the brain is usually associated with alert relaxation (Evans & Abarbanel, 1999). The alpha mood is described as a calm and pleasant situation. All alpha frequencies describe creative activity of the brain, so that it is used in the process of relaxation (relaxing the muscles), which eventually leads to sleep; Such waves emerge and expand rapidly on the skin. The evidence shows that alpha waves increases during meditation.
Alpha training is usually used for the treatment of various diseases such as pain relief (by 9 Hz simulation), reducing stress and anxiety (by 10 and 30 Hz simulation), memory improvement, improving mental performance, and treatment of brain injuries (by 10.2 Hz simulation). Various studies have been performed on the alpha protocol (Table 3). The most common frequency bandwidth for the alpha treatment is 7–10 Hz frequency range, which is used for meditation, sleep, reducing stress and anxiety. Also frequency of 10 Hz causes deep muscle relaxation, pain reduction, regulating breathing rate, and decreasing heart rate (Dempster, 2012; Vernon, 2005).
Beta activity is a good indicator for mental performance and inappropriate beta activity represents mental and physical disorders like depression, ADHD, and insomnia (Egner & Gruzelier, 2004). Beta brain waves are associated with conscious precision, strong focus, and ability to solve problems. Medications that are used to stimulate alertness and concentration such as Ritalin and Adderall also cause the brain to produce beta brainwaves.
Beta training is used to improve focus and attention (simulation of increased beta 12-14 Hz), improve the reading ability (simulation of 7–9 Hz), and introduce positive changes in school performance. It also improves the computational performance, cognitive processing, reduction of worries, over-thinking, obsessive compulsive disorder (OCD), alcoholism, and insomnia (simulation of 14–22 Hz and 12–15 Hz). Meanwhile, this type of neurofeedback improves sleep cognitive performance as well as reducing fatigue and stress (simulation of light and sound of beta) (Table 4). The beta waves in the range of 12–15 Hz (SMR) reduce anxiety, epilepsy, anger and stress (Egner & Gruzelier, 2004; Vernon, 2005).
Alpha/theta is an indicator between awareness and sleep. Alpha/theta training is one of the most popular neurofeedback trainings for stress reduction (Gruzelier, 2009; Raymond, Varney, Parkinson, & Gruzelier, 2005). Also, this treatment is used for deep levels of depression, addiction, anxiety while it increases creativity, relaxation, musical performance, and promotes healing from trauma reactions. The electrodes are usually located on O1, O2, CZ and PZ. Alpha/theta frequency range is 7–8.5 Hz with the typical value of 7.8 Hz. This treatment is done under eyes-closed condition that increases the ratio of theta to alpha waves using auditory feedback (Demos, 2005; Egner & Gruzelier, 2003; Thompson & Thompson, 2003). The summary of the studies using alpha/theta protocol training are presented in Table 5.
Delta waves are the slowest brain waves, which are associated with stages 3 and 4 of the sleep (Sürmeli & Ertem, 2007). They represent increased comfort, reduced pain, and sleep. Thus, they are used to alleviate headaches, traumatic brain injury, learning disorders, and to treatment hard and sharp contraction of muscles (by simulation of 1–3 Hz delta wave). They also reduce concerns and improve sleep (Vernon, 2005).
Gamma waves have the highest frequency, and they are associated with cognitive processing and memory (Staufenbiel, Brouwer, Keizer, & Van Wouwe, 2014). Thus, when these waves are faster, the speed of recalling memory is faster. Gamma waves are fast rhythms that are responsible for the brain’s neural connections and data transfer to the outside world.
They are mainly observed in the hippocampus (an area of the brain which is responsible for converting short-term to long-term memory). Also, these rapid rhythms are observed in sudden attacks like seizure and spasm. Hence, gamma training is used for promoting cognition, mental sharpness, brain activity, and problem-solving tasks. It not only improves poor calculation, but also organizes the brain, improves the speed of information processing, short-term memory, and reduces the number of migraine attacks (Hughes, Vernon, 2005).
Theta brain waves are related to a number of brain activities such as memory, emotion, creativity, sleep, meditation, and hypnosis. These waves are also associated with the first phase of sleep when the sleep is light and the person easily wakes up. Theta treatment reduces anxiety, depression, day dreaming, distractibility, emotional disorders, and ADHD (Beatty, Greenberg, Deibler, & O’Hanlon, 1974; Vernon, 2005).
Basically, there are two classical directions in neurofeedback training. It is either focusing on low frequencies (alpha or theta) to strengthen relaxation and focus (Gruzelier, 2009) or emphasizing on high frequencies (low beta, beta, and theta) for reinforcing activation, organizing, and inhibiting distractibility (Ros et al., 2009).
A suitable comparison between these two directions could be found at Thomas F. Collura (2000), and Kropotov (2010) studies. For example, in the former strategy eyes are closed while in the later one, eyes are open. Also, children are not involved in the first strategy while children and adult could undergo the second training procedure.
Antisocial behavior of individuals, have an undesirable impact on the society. In recent years, with advances in brain science, the cause of abnormal brain function and mental illness has been attributed to the low activity of the anterior brain lobe that presents itself in different types of psychological damages (Gil, Li, & Lee, 2009). The neuro-feedback training has been widely used in the treatment of many diseases and disorders; some of which are mentioned below.
Evidence suggests that the malfunction of the right frontal lobe, is the cause of attention deficit/hyperactivity disorder (ADHD) (Hynd et al., 1991). The resulting symptoms are inattention, distractibility, hyperactivity, and extreme dispassionateness. Neurofeedback therapy is a rehabilitation approach for its treatment. Its goal is to normalize the behavior without dependence on medications or behavioral therapy. For a long time, such drugs as Ritalin, Concerta, and Dexedrine have been used for treating ADHD. But, recent research showed that these drugs do not have any effect on the clinical treatment of ADHD on some of children. Also, these drugs have the side effects such as anxiety, irritability, abdominal pain, decreased appetite, insomnia, and headache. However, using neurofeedback is associated with their long-term improvement (Yan et al., 2008). Studies showed that people with ADHD disorder have slower brain wave activity (theta) and less beta activity compared to normal people.
In ADHD, the goal is to decrease the brain activity in the theta band and to increase its activity in the beta band (or to decrease theta/beta ratio) at the vertex (electrode) (Heinrich, Gevensleben, & Strehl, 2007). This treatment is effective in reducing hyperactivity; Increasing focus, grades, and parental consent from children’s behavior; and improving indicators of sustained attention (Gnecchi, Herrera Garcia, & de Dios Ortiz Alvarado, 2007; Karimi, Haghshenas, & Rostami, 2011; Wang & Sourina, 2013). The studies on the neurofeedback treatment of ADHD in children are listed in Table 6. According to this Table, theta/beta protocol and the area for locating the EEG electrode are the most commonly used neurofeedback strategy in ADHD treatment.
Schizophrenia is known as the most unbearable mental illness (Surmeli, Ertem, Eralp, & Kos, 2012). People with schizophrenia have the illusion of auditory disorders, restlessness, non-flexible muscles, confusion, delirium, and depression. Based on several papers on the treatment of schizophrenia, Minnesota Multiphasic Personality Inventory (MMPI) and Test of Variables of Attention (TOVA), positive effect of neurofeedback training on the treatment of this disease is expressed in such a way that the person with schizophernia is able to adjust his/her brain activity on specific frequencies (McCarthy-Jones, 2012; Surmeli, Ertem, Eralp, & Kos, 2012; Wenya et al., 2012; Gil, Li, & Lee, 2009).
Insomnia is known as an epidemic disorder. The first change observed in patients, who are treated with neuro-feedback training is the change and improvement in their sleep pattern. Hence, the neurofeedback training is used in the treatment of sleep disorders (Hammer, Colbert, Brown, & Ilioi, 2011). For example, the following process is used to improve sleep. One electrode is placed on and the treatment is done for 30 minutes at a frequency of 15–18 Hz. This method makes the waking state, alert and active and assist people in waking up faster. The calmness treatment is done at frequencies of 12–15 Hz and in location. Using neurofeedback helps the people who normally take about an hour in order to prepare their body and mind for sleep, go to sleep faster.
Neurofeedback has created a big change in the treatment of these disorders. These disorders are more common at school age and patients with dyslexia have trouble in reading and spelling the characters (Breteler, Arns, Peters, Giepmans, & Verhoeven, 2010). People having dyscalculia, are unable to understand and solve math problems. These disorders are treated with increased alpha wave activity using neurofeedback (Wang & Sourina, 2013).
Studies have shown that neurofeedback training is a good way to quit drug addiction whereas long-term use of the drug has a profound effect on the individual’s EEG. Temptation and craving of drugs could be reduced by neurofeedback in patients addicted to cocaine (Horrell et al., 2010). This treatment can also be used to treat alcoholism and addiction to computer games (Moradi et al., 2011).
Studies have shown that professional athletes have different patterns of brain activity compared to those of the beginners. Recognition of the status of the professional’s EEG before and during performance, provides a rationale for the use of neurofeedback training to create or emulate these patterns and to improve the performance of unprofessional individuals (Vernon, 2005). In fact the purpose of neurofeedback on athletes is improving the athlete’s psychomotor and self-regulation ability, their confidence, and subsequent performance in important competitions of the year (Edmonds & Tenenbaum, 2011).
Autistic spectrum disorder (ASD) is a neurodevelopmental disorder with challenges that maintain in adulthood. Children with autism have difficulty in functions such as social interaction, verbal and nonverbal communication, behavior and interests. ASD may be associated with emotional problems, mental retardation, or seizure disorders. These children may also have extreme sensitivity to sounds and smells. Also, children with autism may show idiosyncratic behaviors, obsessive rumination, poor social interrelatedness, and flat affect. Researchers found out that individuals with autism differ from normative samples with regard to impediments in empathy or theory of mind (TOM) tasks, weak central coherence, and executive functioning.
One of the primary symptoms of ASD is a qualitative impairment in social interactions related to mutual interest, understanding others’ intentions, empathy, emotional reciprocity, and the underlying concepts of TOM. Empathizing deficits are consistent with problems in reciprocating communication, difficulty in predicting thoughts and feelings of others, interpreting abstract emotions of others, and an appearance of social insensitivity. Individuals with autism are also often seen to have interest in system details and pursue careers in engineering, construction, clocks, machines, puzzles, or computers, which are often obsessive interests in ASD (Lucido, 2012).
There are several diagnostic tools designed to show abnormalities in brain’s function for autism. They are (1) High-beta activity related to anxiety; (2) The high activity of delta/theta corresponding with the slow cortex, lack of attention, impulsivity and hyperactivity; and (3) Abnormal EEG/seizure activity. High beta type is the most common one seen among children with ASD (approximately 50–60% of individuals with ASD) (Coben, Linden, & Myers, 2010; Kouijzer, van Schie, de Moor, Gerrits, & Buitelaar, 2010). The goal of neurofeedback in children with autism is to inhibit theta-alpha ratio while enhancing beta wave. Efficacy of neurofeedback in children diagnosed with autism has been well researched in qualitative case studies summarized in Table 7.
In about one-third of patients with epilepsy, medical treatment is ineffective. Neurofeedback training was shown to be a good alternative treatment for these patients. Research has been focused on increasing SMR (12–15 Hz) and synchronous or asynchronous reduction of slow rhythms (4–7 Hz) for diagnosing this disorder. Also, observing low-amplitude gamma wave after surgery is a good sign for the improvement of epilepsy. The results of studies on the treatment of epilepsy by neurofeedback indicated that continuous SMR treatment reduces the rate of seizures in severe and uncontrolled epilepsy (Table 8) (Hughes et al., 2009; Walker, 2010).
Depression is associated with hypometabolism in the cingulate and occasionally in the frontal cortex, insula, anterior temporal cortices, amygdala, basal ganglia, and thalamus. Along with the frontal electrophysiology findings in depression, there seems to be an inverse relationship between frontal alpha asymmetry and parietal asymmetries. More specifically, depressed patients who do not have significant anxiety, appear to have decreased right parietal activation (alpha wave at P4). Neurofeedback training is used to increase alpha and theta, while inhibit faster beta frequencies, produces significant improvements in depression (Budzynski, 2009a; Hurt, Arnold, & Lofthouse, 2014).
In clinical medicine, anxiety is often defined, at least in part, as high level of muscle tension. Researchers found out that decreasing frontal electromyogram (EMG) levels by EMG biofeedback could alleviate both generalized and specific anxiety patterns. It was believed that anxiety inhibits alpha waves, so alpha training would relieve the anxiety (Budzynski, 2009a; Demos, 2005; Moore, 2000).
Pain is considered a symptom associated with physical damage, purportedly having an objective element connected with the sensation. Neurofeedback methodology proposes that by teaching self-regulation, a patient can reduce or even eliminate pain sensations. Studies suggested that brain changes its functional organization at the level of the somatosensory cortex in chronic pain patients. Researchers recommend the use of biofeedback/neurofeedback for pain management. Biofeedback protocols are designed to address the peripheral correlation of arousal, such as temperature, heart rate variability, and muscle tension while neurofeedback directly affects the processing of pain perception (Ibric & Dragomirescu, 2009).
Other applications of neurofeedback include the recovery from an injury and stroke problems, improvement of memory by increasing alpha activity (Escolano, Aguilar, & Minguez, 2011; Klimesch, 1999; Vernon, 2005; Wenya et al., 2012), treatment of headache and migraines (Walker, 2011), distraction, confusion, attention problems, withdrawal (Escolano, Aguilar, & Minguez, 2011; Gnecchi, Herrera Garcia, & de Dios Ortiz Alvarado, 2007), health promotion (Escolano, Olivan, Lopez-del-Hoyo, Garcia-Campayo, & Minguez, 2012), treatment of mental illness (Heinrich, Gevensleben, & Strehl, 2007), eating disorders (Bartholdy, Musiat, Campbell, & Schmidt, 2013) Parkinson disease (Rossi-Izquierdo et al., 2013), fibromyalgia, restless legs syndrome (Hurt, Arnold, & Loft-house, 2014), obsessive compulsive disorder (Sürmeli & Ertem, 2011), and obsession (Markovska-Simoska, Pop-Jordanova, & Georgiev, 2008; Surmeli & Ertem, 2011). Meanwhile, artists and surgeons use neurofeedback to improve their music performance (Markovska-Simoska et al., 2008) and microsurgical operations (Ros et al., 2009), respectively.
Brain-computer interface systems (BCI) are widely used in clinical and research applications. BCI can propose a new aim for playing videogames or interacting with 3D virtual environments (VE). Interaction with VE includes tasks such as navigating to modify the selection and manipulation of virtual objects.
There are several examples of VE feedback games used in sports, puzzles, or trainings. Nowadays, many universities and laboratories are trying to provide more interactions with the virtual world through the BCI. Here, we describe some of the BCI VE feedback software.
Researchers at University College Dublin and Media Lab Europe manufactured Mind Balance videogame that uses BCI to interact with the virtual world. The game was designed to move an animated character in a 3D virtual environment. The purpose is to control the balance of an animated character on a thin rope, based on the EEG signals of a player.
In the other computer game, designed jointly by the University College London and Graz University of Technology, a disabled person in a virtual street controls the movements of the simulated wheelchair (GRAZ-BC). These results indicated that a disabled person sitting in a wheelchair can control his/her movement in the VE using asynchronous BCI based on signal EEG.
University of Tokyo performed several tests using a “virtual joystick” to navigate 3-D VE. Researchers provided two virtual buttons on the left and right sides of the VE. The participants were asked to gaze at either side to move the camera to the other side. The detection enabled the system to identify the button at which the user gazed.
Researchers at the University of Tokyo also worked on a system to keep the alertness level of car drivers. In this project, the driver’s state of concentration was illustrated when placed in a virtual driving environment. Accordingly, the BCI hearing system actively monitors the state of alertness of drivers and warns them when loss of consciousness occurs.
In the field of promotion of neurofeedback in VE, INRIA designed several BCI systems. In one of them, called “use-the-force”, subjects were asked to control the launch of a virtual spaceship by using real or imagined foot movements. They studied the response of the subjects in challenging situations (Lecuyer et al., 2008). In another system (Gnecchi, Herrera Garcia, & de Dios Ortiz Alvarado, 2007), neurofeedback was examined in order to diagnose ADHD and hyperactivity disorder. In this system, there are two graphical interfaces.
In the first interface, when the ratio of beta/theta goes higher than a predetermined threshold, dolphins are moving to an area where there are fish. Having maintained the focus, dolphin intercepts a fish. When the number of trapped fish increases, it reflects advances in process of treatment. In the second graphical interface, the speed of a racing car increases when subject’s attention improved. There are various available neurofeedback softwares in the market whose information such as operating systems, developers, and supported devices could be assessed via Wikipedia (“Comparison of neurofeedback software”, April 11, 2015).
In this paper, we reviewed the clinical applications of neurofeedback, various protocols of treatment and some of the systems designs by BCI and VR technology.
In neurofeedback, EEG is usually recorded, and various brain-activity components are extracted and feedbacked to subjects. During this procedure, subjects become aware of the changes that occur during training and are able to assess their progress in order to achieve optimal performance. Electrode placement is performed according to specific brain functions and specific symptoms. Considering information about these skull regions, the entire treatment process is simplified. There are several protocols in neurofeedback training, but alpha, beta, theta, and alpha/theta protocol are the most commonly used ones.
BCI is an EEG-based communication device. VE is a human-computer interface system with which users can virtually move their viewpoint freely in real time. The purpose of using VE is to construct a virtual environment with natural interactivity and to create a real sensation from multimodality. Three-dimensional VR is much more attractive and interesting than most of two-dimensional environments.
To date, many studies have been conducted on the neuro-feedback therapy and its effectiveness on the treatment of many diseases. However, there are some methodological limitations and clinical ambiguities. For example, considering the alpha treatment protocols, there are some issues to deal with such as how many sessions are needed before participants can learn to exert an alert control over their own alpha waves, or how many sessions are needed before such training procedures produce the expected effect on the optimal performance, and how long the desired effects last without feedback (long-term effects). Thus, it is necessary to provide standard protocols to perform neurofeedback.
Similar to other treatments, neurofeedback has its own pros and cons. Although it is a safe and non-invasive procedure that showed improvement in the treatment of many problems and disorders such as ADHD, anxiety, depression, epilepsy, ASD, insomnia, drug addiction, schizophrenia, learning disabilities, dyslexia and dyscalculia, its validity has been questioned in terms of conclusive scientific evidence of its effectiveness. Moreover, it is an expensive procedure which is not covered by many insurance companies. It is also time-consuming and its benefits are not long-lasting. Finally, it might take several months to see the desired improvements (Mauro & Cermak, 2006).
Conflicts of Interest: