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{{Short description|Type of biofeedback}}
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'''Neurofeedback''', sometimes called '''NFB''', '''neurobiofeedback''' or '''EEG [[biofeedback]]''', is a method which attempts to train [[brainwave]] activity, as measured by electrodes on the [[scalp]], and is presented to an individual as [[feedback]] in the form of a [[video display]], sound or vibration. If [[EEG|brain activity]] changes in the direction desired by the therapist, a positive "reward" feedback is given to the individual, and if it regresses, either a negative feedback or no feedback is given (depending on the protocol). Rewards can be as simple as a change in pitch of a tone or as complex as a certain type of movement of a character in a video game. A number of different brainwave goals have been proposed by different researchers in the field. Generally, these goals are based upon research describing abnormal EEG patterns or on results from a [[QEEG]]. A popular goal is the increase of activity in the 12–18 Hz band (beta1/SMR (sensori-motor rhythm)) and a decrease in the 4–8 Hz and/or 22–28 Hz bands (theta and/or beta2). Results from neurofeedback have consistently found to be inconclusive 13 {{ref|13}}. However, some proponents labor to establish its scientific credibility in the [[disease model]]. Other proponents believe that such applications will become trivial as far more compelling results emerge in all areas of maximizing human capacities, including development of extra sensory perception and psychic powers.
[[File:Neurofeedback Process Diagram.png|thumb|470x470px|Neurofeedback training process diagram]]


'''Neurofeedback''' is a form of [[biofeedback]] that uses electrical potentials in the brain to reinforce desired brain states through [[operant conditioning]]. This process is non-invasive and typically collects brain activity data using [[electroencephalography]] (EEG). Several neurofeedback protocols exist, with potential additional benefit from use of [[quantitative electroencephalography]] (QEEG) or [[functional magnetic resonance imaging]] (fMRI) to localize and personalize treatment.<ref name="Mehler_2018">{{cite journal | vauthors = Mehler DM, Sokunbi MO, Habes I, Barawi K, Subramanian L, Range M, Evans J, Hood K, Lührs M, Keedwell P, Goebel R, Linden DE | display-authors = 6 | title = Targeting the affective brain-a randomized controlled trial of real-time fMRI neurofeedback in patients with depression | journal = Neuropsychopharmacology | volume = 43 | issue = 13 | pages = 2578–2585 | date = December 2018 | pmid = 29967368 | doi = 10.1038/s41386-018-0126-5 | pmc = 6186421 }}</ref><ref>{{cite journal | vauthors = Arns M, Drinkenburg W, Leon Kenemans J | title = The effects of QEEG-informed neurofeedback in ADHD: an open-label pilot study | journal = Applied Psychophysiology and Biofeedback | volume = 37 | issue = 3 | pages = 171–80 | date = September 2012 | pmid = 22446998 | doi = 10.1007/s10484-012-9191-4 | pmc = 3419351 }}</ref> Related technologies include [[Functional near-infrared spectroscopy|functional near-infrared spectroscopy-mediated]] (fNIRS) neurofeedback, [[hemoencephalography]] biofeedback (HEG), and fMRI biofeedback.
Proposed uses for neurofeedback include, but are not limited to, the treatment of patients with epilepsy, [[ADD]]/[[ADHD]], [[learning disabilities]], stroke/ischemia, and even [[traumatic brain injury]], psychic seduction, penis enlargement, and increased self esteem. It is claimed that patients will show a "slowing" pattern in their [[EEG]]&mdash;i.e., an abnormally high level of theta waves (4&ndash;8 Hz). It has been assumed that training these down over many sessions has been shown to increase one's ability to attend and focus.


Placebo-controlled trials have often found the control group to show the same level of improvement as the group receiving actual neurofeedback treatment, which suggests these improvements may be caused by secondary effects instead.<ref name="Lansbergen_2011">{{cite journal | vauthors = Lansbergen MM, van Dongen-Boomsma M, Buitelaar JK, Slaats-Willemse D | title = ADHD and EEG-neurofeedback: a double-blind randomized placebo-controlled feasibility study | journal = Journal of Neural Transmission | volume = 118 | issue = 2 | pages = 275–284 | date = February 2011 | pmid = 21165661 | pmc = 3051071 | doi = 10.1007/s00702-010-0524-2 }}</ref><ref name="Arnold_2021">{{cite journal | vauthors = Arnold LE, Arns M, Barterian J, Bergman R, Black S, Conners CK, Connor S, Dasgupta S, deBeus R, Higgins T, Hirshberg L | display-authors = 6 | title = Double-Blind Placebo-Controlled Randomized Clinical Trial of Neurofeedback for Attention-Deficit/Hyperactivity Disorder With 13-Month Follow-up | journal = Journal of the American Academy of Child and Adolescent Psychiatry | volume = 60 | issue = 7 | pages = 841–855 | date = July 2021 | pmid = 32853703 | pmc = 7904968 | doi = 10.1016/j.jaac.2020.07.906 }}</ref><ref name=":2" /> Neurofeedback has been shown to trigger positive behavioral outcomes, such as relieving symptoms related to psychiatric disorders or improving specific cognitive functions in healthy participants. These positive behavioral outcomes rely on brain plasticity mechanisms and the ability of subjects to learn throughout life.<ref>{{cite journal |last1=Loriette |first1=C |title=Neurofeedback for cognitive enhancement and intervention and brain plasticity |journal=Revue Neurologique |date=2021 |volume=177 |issue=9 |pages=1133–1144 |doi=10.1016/j.neurol.2021.08.004 |pmid=34674879 |url=https://www.sciencedirect.com/science/article/pii/S0035378721006974}}</ref>
Related technologies include [[audio-visual entrainment]] (AVE), [[cranial electrotherapy stimulation]] (CES), and [[hemoencephalography]] biofeedback (HEG).


==History==
==Training the brain==
In 1898, [[Edward Thorndike]] formulated the law of effect. In his work, he theorized that behavior is shaped by satisfying or discomforting consequences. This set the foundation for [[operant conditioning]].{{Citation needed|date=May 2023}}
[[Image:Neurofeedback_and_Remote_Seduction.JPG|thumbnail|Brain Training]]


In 1924, the German psychiatrist [[Hans Berger]] connected several electrodes to a patient's scalp and detected a small current by using a ballistic [[galvanometer]]. In his subsequent studies, Berger analyzed EEGs qualitatively, but in 1932, G. Dietsch applied [[Fourier analysis]] to seven EEG records and later became the first researcher to apply quantitative EEG (QEEG).
There is some debate over whether one can entrain one&#8217;s own brain to achieve a specific brainwave frequency by using various techniques, including visual and auditory stimuli, and [[neurofeedback]], and as yet the evidence suggests that it will not convey any benefits to consumers or patients. Neurofeedback equipment companies commonly make extraordinary claims based on the scientific appeal of electronics and the mysteries of the brain. For example, some brain training products are sold to consumers promising raising the IQ, self esteem, and to reach zen meditative and deep hypnotic states (note 15). Some products claim to be able to train remote seduction, tele-hypnosis, telepathy, mind control, and various other psionic abilities (note 16). The rationale for the efficacy of these products usually involves debunked pseudoscientific notions of balancing the [[cerebral hemispheres]] at a particular frequency, often backed up with associations with eastern mythologies and philosophy. Neurofeedback during clinical trials has attempted to remediate some mental problems, by conducting an assessment and then attempting to train specific changes in order to "normalize" the EEG. This sometimes results in improved function, although any benefit has often been attributed to the placebo effect, and as such the subject of brain training using brainwaves, is strongly associated with [[snakeoil]].


In 1950, [[Neal E. Miller]] of Yale University was able to train mice to regulate their heartbeat frequency. Later on, he continued his work with humans, training them through auditory feedback.<ref>{{Cite journal |last1=Pickering |first1=T. G. |last2=Miller |first2=N. E. |date=1 September 1975 |title=Learned Voluntary Control of Heart Rate and Rhythm in Two Subjects with Premature Ventricular Contractions |url=https://portlandpress.com/clinsci/article/49/3/17P/71950/Learned-Voluntary-Control-of-Heart-Rate-and-Rhythm |journal=Clinical Science |language=en |volume=49 |issue=3 |pages=17P–18P |doi=10.1042/cs049017Pd |issn=0301-0538}}</ref>
One line of research concludes that there is no evidence to indicate that alpha or theta state is beneficial in any way, including for the purposes of thinking, balancing mental activity, relaxation, or creativity. Sala et al{{ref|7}} suggest that brainwave training is based on [[mind myths]] and hype for the sale of expensive brainwave machines. This compilation of published research indicates that entrainment is generally not at all effective, although certain mental and physical activities are associated with certain brainwaves (eg, closing the eyes tends to result in a higher proportion of alpha rhythms). Brain function is highly complex and specific to various locations within the brain, so general entrainment to a single frequency or state will often be unsatisfactory. Indeed, there has been a successful legal action concerning a company who claimed that brain training machines increase IQ, extrasensory abilities, and learning{{ref|9}}.


The first study to demonstrate neurofeedback was reported by Joe Kamiya in 1962.<ref name=":0">{{Citation |last=Kamiya |first=Joe |title=Autoregulation of the EEG Alpha Rhythm: A Program for the Study of Consciousness |date=1979 |url=http://dx.doi.org/10.1007/978-1-4613-2898-8_25 |work=Mind/Body Integration |pages=289–297 |access-date=28 April 2023 |place=Boston, MA |publisher=Springer US |doi=10.1007/978-1-4613-2898-8_25 |isbn=978-1-4613-2900-8}}</ref><ref>{{Cite journal |last=Kamiya |first=Joe |date=22 February 2011 |title=The First Communications About Operant Conditioning of the EEG |url=http://www.isnr-jnt.org/article/view/16584 |journal=Journal of Neurotherapy |volume=15 |issue=1 |pages=65–73 |doi=10.1080/10874208.2011.545764 |issn=1087-4208|doi-access=free }}</ref> Kamiya's experiment had two parts: In the first part, a subject was asked to keep their eyes closed, and when a tone sounded, to say whether they were experiencing [[alpha wave]]s. Initially, the subject would guess correctly about fifty percent of the time, but some subjects would eventually develop the ability to better distinguish between states.<ref>{{Cite journal |last=Frederick |first=Jon A. |date=September 2012 |title=Psychophysics of EEG alpha state discrimination |journal=Consciousness and Cognition |volume=21 |issue=3 |pages=1345–1354 |doi=10.1016/j.concog.2012.06.009 |pmc=3424312 |pmid=22800733}}</ref>
===Rhythmic stimuli===
One method proposed for attempting to entrain EEG rhythms is through sensory prompting. Medical EEG testing commonly includes intense light stimulation at various frequencies (to test for seizures). It has been suggested that indigenous peoples for centuries have used drumming to enter specific states and that these may be beneficial in terms of attaining extraordinary states of mind, or hypnotic trances. Some research indicates that computer programs or hardware that generate various frequencies are able to stimulate the brain and alter the brain's frequency via a much more subtle audio or visual stimulus{{ref|10}}. Other research counters these claims{{ref|11}}. Probably the best summary at this time is that entrainment, or "following" does occur in many but not all individuals, and that the result may have a transitory influence on the dominant subjective state reported by that person. There is some small-group study research to suggest that light-sound stimulation is clinically useful{{ref|12}} to some extent, however, this will not always induce relaxation, and no evidence of paranormal activity has ever been detected in trials.


M. Barry Sterman trained cats to modify their EEG patterns to exhibit more of the so-called [[sensorimotor rhythm]] (SMR). He published this research in 1967. Sterman subsequently discovered that the SMR-trained cats were much more resistant to [[epileptic seizures]] after exposure to the convulsant chemical [[monomethylhydrazine]] than non-trained cats.<ref>{{Cite journal |last=Sterman |first=M. Barry |date=January 2000 |title=Basic Concepts and Clinical Findings in the Treatment of Seizure Disorders with EEG Operant Conditioning |url=http://journals.sagepub.com/doi/10.1177/155005940003100111 |journal=Clinical Electroencephalography |volume=31 |issue=1 |pages=45–55 |doi=10.1177/155005940003100111 |pmid=10638352 |s2cid=43506749 |issn=0009-9155}}</ref> In 1971, he reported similar improvements with an epileptic patient whose seizures could be controlled through SMR training.<ref name=":1">{{Cite journal |last1=Sterman |first1=M.B |last2=Friar |first2=L |date=July 1972 |title=Suppression of seizures in an epileptic following sensorimotor EEG feedback training |url=https://linkinghub.elsevier.com/retrieve/pii/0013469472900284 |journal=Electroencephalography and Clinical Neurophysiology |volume=33 |issue=1 |pages=89–95 |doi=10.1016/0013-4694(72)90028-4|pmid=4113278 }}</ref> Joel Lubar contributed to the research of EEG biofeedback, starting with epilepsy<ref>{{Cite journal |last1=Seifert |first1=A.R. |last2=Lubar |first2=J.F. |date=November 1975 |title=Reduction of epileptic seizures through EEG biofeedback training |url=https://linkinghub.elsevier.com/retrieve/pii/0301051175900332 |journal=Biological Psychology |volume=3 |issue=3 |pages=157–184 |doi=10.1016/0301-0511(75)90033-2|pmid=812560 |s2cid=15698128 }}</ref> and later with hyperactivity and [[Attention deficit hyperactivity disorder|ADHD]].<ref name=":2">{{Cite journal |last1=Lubar |first1=Joel F. |last2=Shouse |first2=Margaret N. |date=September 1976 |title=EEG and behavioral changes in a hyperkinetic child concurrent with training of the sensorimotor rhythm (SMR): A preliminary report |url=http://link.springer.com/10.1007/BF01001170 |journal=Biofeedback and Self-Regulation |volume=1 |issue=3 |pages=293–306 |doi=10.1007/BF01001170 |pmid=990355 |s2cid=17141352 |issn=0363-3586}}</ref> Ming-Yang Cheng was instrumental in advancing research on EEG neurofeedback, specifically targeting enhancements in SMR power among skilled golfers.<ref name="Cheng 626–636">{{Cite journal |last1=Cheng |first1=Ming-Yang |last2=Huang |first2=Chung-Ju |last3=Chang |first3=Yu-Kai |last4=Koester |first4=Dirk |last5=Schack |first5=Thomas |last6=Hung |first6=Tsung-Min |date=1 December 2015 |title=Sensorimotor Rhythm Neurofeedback Enhances Golf Putting Performance |url=https://journals.humankinetics.com/view/journals/jsep/37/6/article-p626.xml |journal=Journal of Sport and Exercise Psychology |volume=37 |issue=6 |pages=626–636 |doi=10.1123/jsep.2015-0166 |pmid=26866770 |issn=1543-2904}}</ref>
Audio, ''[[binaural beats| binaural beat frequencies]]'' has also been suggested as a method by mind machine manufacturers, since supposedly the ears cannot hear sounds low enough to be useful for brain stimulation. They claim that if the left ear is presented with a steady tone of 500 Hz (21 [[cent (music)|cents]] [[sharp]] of B4) and the right ear a steady tone of 510 Hz (44 cents [[flat]] of C5), these two tones will combine in the brain. It is claimed that the difference, 10 Hz, is perceived by the brain and is an effective stimulus for brainwave entrainment, although there is no scientific evidence that suggests balancing the left and right [[cerebral hemispheres]] will induce any benefit whatsoever.


===Controversy===
==Neuroplasticity==
In 2010, a study provided some evidence of [[neuroplastic]] changes occurring after brainwave training. In this study, half an hour of voluntary control of brain rhythms led to a lasting shift in cortical excitability and intracortical function.<ref name="Ros_2010">{{cite journal | vauthors = Ros T, Munneke MA, Ruge D, Gruzelier JH, Rothwell JC | title = Endogenous control of waking brain rhythms induces neuroplasticity in humans | journal = The European Journal of Neuroscience | volume = 31 | issue = 4 | pages = 770–8 | date = February 2010 | pmid = 20384819 | doi = 10.1111/j.1460-9568.2010.07100.x | s2cid = 16969327 }}</ref> The authors observed that the cortical response to [[transcranial magnetic stimulation]] (TMS) was significantly enhanced after neurofeedback, persisted for at least twenty minutes, and was correlated with an EEG time-course indicative of [[activity-dependent plasticity]]<ref name="Ros_2010" />


==Types of neurofeedback==
A particularly controversial method proposed for "training the brain", or training for improved function, is through [[neurofeedback]], a process in which the subject is given real-time [[biofeedback]] of their EEG rhythms. This technique has been proposed for the treatment of [[epilepsy]], [[attention deficit disorder]](ADHD), and other diseases and disorders. Some manufacturers and researchers have proposed that the operant conditioning of EEG ("neurofeedback") may produce lasting positive functional changes. ([http://www.isnr.org/nfbarch/nbiblio.htm Current bibliography].) However, many ADHD researchers, most notably Russell Barkley, state that it is not true. Barkley claims that there is no evidence that neurofeedback works in any way. He, and some in the neurology research community, maintain that the supporting research is sloppy and, to date, has not managed to successfully prove anything.
The term neurofeedback is not legally protected. There are various approaches that give feedback about neuronal activity, and as such are referred to as "neurofeedback" by their respective operators. Distinctions can be made on several levels. The first takes into account which technology is being used (EEG,<ref>{{Cite journal |last1=Lubar |first1=Joel F. |last2=Swartwood |first2=Michie Odle |last3=Swartwood |first3=Jeffery N. |last4=O'Donnell |first4=Phyllis H. |date=1 March 1995 |title=Evaluation of the effectiveness of EEG neurofeedback training for ADHD in a clinical setting as measured by changes in T.O.V.A. scores, behavioral ratings, and WISC-R performance |url=https://doi.org/10.1007/BF01712768 |journal=Biofeedback and Self-Regulation |volume=20 |issue=1 |pages=83–99 |doi=10.1007/BF01712768 |pmid=7786929 |s2cid=19193823 |issn=1573-3270}}</ref><ref>{{Cite journal |last1=Kluetsch |first1=R. C. |last2=Ros |first2=T. |last3=Théberge |first3=J. |last4=Frewen |first4=P. A. |last5=Calhoun |first5=V. D. |last6=Schmahl |first6=C. |last7=Jetly |first7=R. |last8=Lanius |first8=R. A. |date=August 2014 |title=Plastic modulation of PTSD resting-state networks and subjective wellbeing by EEG neurofeedback |journal=Acta Psychiatrica Scandinavica |volume=130 |issue=2 |pages=123–136 |doi=10.1111/acps.12229 |pmc=4442612 |pmid=24266644}}</ref><ref>{{Cite journal |last1=Reiter |first1=Karen |last2=Andersen |first2=Søren Bo |last3=Carlsson |first3=Jessica |date=February 2016 |title=Neurofeedback Treatment and Posttraumatic Stress Disorder: Effectiveness of Neurofeedback on Posttraumatic Stress Disorder and the Optimal Choice of Protocol |url=https://journals.lww.com/00005053-201602000-00001 |journal=Journal of Nervous & Mental Disease |volume=204 |issue=2 |pages=69–77 |doi=10.1097/NMD.0000000000000418 |pmid=26825263 |s2cid=25210316 |issn=0022-3018}}</ref><ref>{{Cite journal |last1=Micoulaud-Franchi |first1=Jean-Arthur |last2=Geoffroy |first2=Pierre Alexis |last3=Fond |first3=Guillaume |last4=Lopez |first4=Régis |last5=Bioulac |first5=Stéphanie |last6=Philip |first6=Pierre |date=2014 |title=EEG neurofeedback treatments in children with ADHD: an updated meta-analysis of randomized controlled trials |journal=Frontiers in Human Neuroscience |volume=8 |page=906 |doi=10.3389/fnhum.2014.00906 |issn=1662-5161 |pmc=4230047 |pmid=25431555 |doi-access=free }}</ref><ref>{{Cite journal |last1=Omejc |first1=Nina |last2=Rojc |first2=Bojan |last3=Battaglini |first3=Piero Paolo |last4=Marusic |first4=Uros |date=20 November 2018 |title=Review of the therapeutic neurofeedback method using electroencephalography: EEG Neurofeedback |url=http://www.bjbms.org/ojs/index.php/bjbms/article/view/3785 |journal=Bosnian Journal of Basic Medical Sciences |volume=19 |issue=3 |pages=213–220 |doi=10.17305/bjbms.2018.3785 |issn=1840-4812 |pmc=6716090 |pmid=30465705}}</ref><ref name="Cheng 626–636"/> fMRI,<ref>{{Cite journal |last1=Zotev |first1=Vadim |last2=Phillips |first2=Raquel |last3=Yuan |first3=Han |last4=Misaki |first4=Masaya |last5=Bodurka |first5=Jerzy |date=15 January 2014 |title=Self-regulation of human brain activity using simultaneous real-time fMRI and EEG neurofeedback |url=https://www.sciencedirect.com/science/article/pii/S1053811913005041 |journal=NeuroImage |series=Neuro-enhancement |volume=85 |pages=985–995 |doi=10.1016/j.neuroimage.2013.04.126 |pmid=23668969 |arxiv=1301.4689 |s2cid=2836232 |issn=1053-8119}}</ref><ref>{{Cite journal |last1=Pindi |first1=Pamela |last2=Houenou |first2=Josselin |last3=Piguet |first3=Camille |last4=Favre |first4=Pauline |date=December 2022 |title=Real-time fMRI neurofeedback as a new treatment for psychiatric disorders: A meta-analysis |journal=Progress in Neuro-Psychopharmacology and Biological Psychiatry |language=en |volume=119 |pages=110605 |doi=10.1016/j.pnpbp.2022.110605|pmid=35843369 |s2cid=250586279 |doi-access=free }}</ref><ref>{{Cite journal |last1=Linhartová |first1=Pavla |last2=Látalová |first2=Adéla |last3=Kóša |first3=Barbora |last4=Kašpárek |first4=Tomáš |last5=Schmahl |first5=Christian |last6=Paret |first6=Christian |date=June 2019 |title=fMRI neurofeedback in emotion regulation: A literature review |url=https://linkinghub.elsevier.com/retrieve/pii/S1053811919301788 |journal=NeuroImage |volume=193 |pages=75–92 |doi=10.1016/j.neuroimage.2019.03.011|pmid=30862532 |s2cid=72333597 }}</ref><ref>{{Cite journal |last1=Nicholson |first1=Andrew A. |last2=Rabellino |first2=Daniela |last3=Densmore |first3=Maria |last4=Frewen |first4=Paul A. |last5=Paret |first5=Christian |last6=Kluetsch |first6=Rosemarie |last7=Schmahl |first7=Christian |last8=Théberge |first8=Jean |last9=Neufeld |first9=Richard W.J. |last10=McKinnon |first10=Margaret C. |last11=Reiss |first11=Jeffrey P. |last12=Jetly |first12=Rakesh |last13=Lanius |first13=Ruth A. |date=January 2017 |title=The neurobiology of emotion regulation in posttraumatic stress disorder: Amygdala downregulation via real-time fMRI neurofeedback |journal=Human Brain Mapping |volume=38 |issue=1 |pages=541–560 |doi=10.1002/hbm.23402 |issn=1065-9471 |pmc=6866912 |pmid=27647695}}</ref> fNIRS,<ref>{{Cite journal |last1=Kohl |first1=Simon H. |last2=Mehler |first2=David M. A. |last3=Lührs |first3=Michael |last4=Thibault |first4=Robert T. |last5=Konrad |first5=Kerstin |last6=Sorger |first6=Bettina |date=21 July 2020 |title=The Potential of Functional Near-Infrared Spectroscopy-Based Neurofeedback—A Systematic Review and Recommendations for Best Practice |journal=Frontiers in Neuroscience |volume=14 |page=594 |doi=10.3389/fnins.2020.00594 |issn=1662-453X |pmc=7396619 |pmid=32848528 |doi-access=free }}</ref> HEG). Nonetheless, further distinctions are crucial even within the realm of EEG neurofeedback, as different methodologies of analysis can be chosen, some of which are backed up by a higher number of peer-reviewed studies, whereas for others, scientific literature is scarce, and explanatory models are entirely missing.


Despite these differences, a common denominator can be found in the requirement of providing feedback. Usually, feedback is provided by auditory or visual input. While original feedback was provided by sounding tones according to neurological activity, many new ways have been found. It is possible to listen to music or podcasts where the volume is controlled as feedback, for example. Often, visual feedback is used in the form of animations on a TV screen. Visual feedback can also be provided in combination with videos and films, or even during reading tasks where the brightness of the screen represents the direct feedback. Simple games can also be used, where the game itself is controlled by the brain activity. Recent developments have tried to incorporate virtual reality (VR), and controllers can already be used for more involved engagement with the feedback.
Brainwave training is both controversial and subject to the whims of marketeers, and the reader must keep in mind that the manufacturers are wed to their various own interests, and their financial futures may be at stake. Some members of the community make sweeping generalization statements but fail to make contributions within the professional medical community.


===EEG neurofeedback===
Measuring the brain's activity is a standard procedure in medicine, and can give interesting indicators of how the brain works. Whether EEGs can be used to balance the [[cerebral hemispheres]], induce relaxation, improve mental funcioning, or change or benefit the brain in any way is still inconclusive and can at best be considered controversial. Although brain training companies are likely to quote some studies that show some benefits, the overall view in neuroscience through meta analyses and thorough reviews of research is that electronic brain training is unreliable. A great deal of further research is needed before any kind of brain training can be regarded as reliable treatments 13 {{ref|13}}. In the meantime, far more reliable methods of treatment have been successful in helping patients.
====Frequency band / amplitude training====
Amplitude training, or frequency band training (used synonymously), is the method with the largest body of scientific literature; it also represents the original method of EEG neurofeedback.<ref name=":0" /><ref name=":1" /><ref name=":2" /> The EEG signal is analyzed with respect to its frequency spectrum, split into the common frequency bands used in EEG [[neuroscience]] (delta, theta, alpha, beta, gamma). The activity involves training the amplitude of a certain frequency band on a defined location on the scalp to higher or lower values.


Depending on the training goal (for example, increasing attention and focus,<ref>{{Cite journal |last1=Arns |first1=Martijn |last2=Clark |first2=C. Richard |last3=Trullinger |first3=Mark |last4=deBeus |first4=Roger |last5=Mack |first5=Martha |last6=Aniftos |first6=Michelle |date=June 2020 |title=Neurofeedback and Attention-Deficit/Hyperactivity-Disorder (ADHD) in Children: Rating the Evidence and Proposed Guidelines |journal=Applied Psychophysiology and Biofeedback |volume=45 |issue=2 |pages=39–48 |doi=10.1007/s10484-020-09455-2 |issn=1090-0586 |pmc=7250955 |pmid=32206963}}</ref><ref>{{Cite journal |last1=Van Doren |first1=Jessica |last2=Arns |first2=Martijn |last3=Heinrich |first3=Hartmut |last4=Vollebregt |first4=Madelon A. |last5=Strehl |first5=Ute |last6=K. Loo |first6=Sandra |date=March 2019 |title=Sustained effects of neurofeedback in ADHD: a systematic review and meta-analysis |journal=European Child & Adolescent Psychiatry |volume=28 |issue=3 |pages=293–305 |doi=10.1007/s00787-018-1121-4 |issn=1018-8827 |pmc=6404655 |pmid=29445867}}</ref> reaching a calm state,<ref>{{Cite journal |last1=Krylova |first1=Marina |last2=Skouras |first2=Stavros |last3=Razi |first3=Adeel |last4=Nicholson |first4=Andrew A. |last5=Karner |first5=Alexander |last6=Steyrl |first6=David |last7=Boukrina |first7=Olga |last8=Rees |first8=Geraint |last9=Scharnowski |first9=Frank |last10=Koush |first10=Yury |date=3 December 2021 |title=Progressive modulation of resting-state brain activity during neurofeedback of positive-social emotion regulation networks |journal=Scientific Reports |volume=11 |issue=1 |page=23363 |doi=10.1038/s41598-021-02079-4 |issn=2045-2322 |pmc=8642545 |pmid=34862407|bibcode=2021NatSR..1123363K }}</ref> reducing epileptic seizures,<ref name=":1" /><ref>{{Cite journal |last1=Sterman |first1=M. Barry |last2=Egner |first2=Tobias |date=March 2006 |title=Foundation and Practice of Neurofeedback for the Treatment of Epilepsy |url=http://link.springer.com/10.1007/s10484-006-9002-x |journal=Applied Psychophysiology and Biofeedback |volume=31 |issue=1 |pages=21–35 |doi=10.1007/s10484-006-9002-x |pmid=16614940 |s2cid=1445660 |issn=1090-0586}}</ref><ref>{{Cite journal |last1=Monderer |first1=Renee S |last2=Harrison |first2=Daniel M |last3=Haut |first3=Sheryl R |date=June 2002 |title=Neurofeedback and epilepsy |url=https://linkinghub.elsevier.com/retrieve/pii/S152550500200001X |journal=Epilepsy & Behavior |volume=3 |issue=3 |pages=214–218 |doi=10.1016/S1525-5050(02)00001-X|pmid=12662600 |s2cid=31198834 }}</ref> etc.), the electrodes have to be placed in different positions. Additionally, the trained frequency bands and the training directions (to higher or lower amplitudes) might vary according to the training goal.


Thus, EEG wave components that are expected to be beneficial to the training goal are rewarded with positive feedback when appearing and/or increasing in amplitude. Frequency band amplitudes that are expected to be hindering are trained downwards by reinforcement through the feedback.
See also: '''[[Psychophysiology]]''', the study of the connections between [[neurobiology]] and [[psychology]].


As an example, considering ADHD, this would result in training low-beta or mid-beta frequencies in the central-to-frontal lobe to increase in amplitude, while simultaneously trying to reduce theta and high-beta amplitudes in the same region of the brain.<ref>{{Cite journal |last1=Van Doren |first1=Jessica |last2=Arns |first2=Martijn |last3=Heinrich |first3=Hartmut |last4=Vollebregt |first4=Madelon A. |last5=Strehl |first5=Ute |last6=K. Loo |first6=Sandra |date=1 March 2019 |title=Sustained effects of neurofeedback in ADHD: a systematic review and meta-analysis |url=https://doi.org/10.1007/s00787-018-1121-4 |journal=European Child & Adolescent Psychiatry |volume=28 |issue=3 |pages=293–305 |doi=10.1007/s00787-018-1121-4 |issn=1435-165X |pmc=6404655 |pmid=29445867}}</ref><ref>{{Cite journal |last1=Enriquez-Geppert |first1=Stefanie |last2=Smit |first2=Diede |last3=Pimenta |first3=Miguel Garcia |last4=Arns |first4=Martijn |date=28 May 2019 |title=Neurofeedback as a Treatment Intervention in ADHD: Current Evidence and Practice |url=https://doi.org/10.1007/s11920-019-1021-4 |journal=Current Psychiatry Reports |volume=21 |issue=6 |pages=46 |doi=10.1007/s11920-019-1021-4 |issn=1535-1645 |pmc=6538574 |pmid=31139966}}</ref><ref>{{Cite journal |last1=Dashbozorgi |first1=Zahra |last2=Ghaffari |first2=Amin |last3=Karamali Esmaili |first3=Samaneh |last4=Ashoori |first4=Jamal |last5=Moradi |first5=Ali |last6=Sarvghadi |first6=Pooria |date=10 September 2021 |title=Effect of Neurofeedback Training on Aggression and Impulsivity in Children with Attention-Deficit/Hyperactivity Disorder: A Double-Blinded Randomized Controlled Trial |url=http://bcn.iums.ac.ir/article-1-1695-en.html |journal=Basic and Clinical Neuroscience |volume=12 |issue=5 |pages=693–702 |doi=10.32598/bcn.2021.2363.1|pmid=35173923 |pmc=8818111 |s2cid=237880490 }}</ref>
⚫
==External links==


In the sports domain, SMR training has garnered attention, with a substantial body of research suggesting that enhancing it could improve performance.<ref>{{Cite journal |last1=Xiang |first1=Ming-Qiang |last2=Hou |first2=Xiao-Hui |last3=Liao |first3=Ba-Gen |last4=Liao |first4=Jing-Wen |last5=Hu |first5=Min |date=1 May 2018 |title=The effect of neurofeedback training for sport performance in athletes: A meta-analysis |url=https://www.sciencedirect.com/science/article/pii/S1469029217304545 |journal=Psychology of Sport and Exercise |volume=36 |pages=114–122 |doi=10.1016/j.psychsport.2018.02.004 |s2cid=148988970 |issn=1469-0292}}</ref> This improvement is particularly evident after multiple training sessions<ref name="Cheng 626–636"/> designed to enhance motor skills critical for precise movements. Such precision is required in various sports activities,<ref>{{Cite journal |last1=Cheng |first1=Ming-Yang |last2=Wang |first2=Kuo-Pin |last3=Hung |first3=Chiao-Ling |last4=Tu |first4=Yu-Long |last5=Huang |first5=Chung-Ju |last6=Koester |first6=Dirk |last7=Schack |first7=Thomas |last8=Hung |first8=Tsung-Min |date=September 2017 |title=Higher power of sensorimotor rhythm is associated with better performance in skilled air-pistol shooters |url=https://linkinghub.elsevier.com/retrieve/pii/S1469029216303193 |journal=Psychology of Sport and Exercise |volume=32 |pages=47–53 |doi=10.1016/j.psychsport.2017.05.007|s2cid=33780406 }}</ref> including [[Golf swing#Stroke types|golf putting]], [[Free kick (association football)|soccer free kicks]], and basketball [[free throw]]s.
*[http://www.geocities.com/adriancmvd/pagefreqs.htm The Principal Frequency Bands&mdash;simplified]
*[http://www.geocities.com/adriancmvd/pageapps.htm Common Applications Page]


====SCP training====
There are four professional organizations involved:
For SCP (slow cortical potentials) training, one trains the DC voltage component of the EEG signal. The application of this type of EEG neurofeedback training was mostly endorsed by research done by Niels Birbaumer and his group. The most common symptom base for SCP training is ADHD, whereas SCPs also find their application in brain-computer interfaces.<ref>{{Citation |last1=Birbaumer |first1=Niels |title=Chapter 8 Neurofeedback and Brain–Computer Interface: Clinical Applications |date=1 January 2009 |url=https://www.sciencedirect.com/science/article/pii/S007477420986008X |journal=International Review of Neurobiology |volume=86 |pages=107–117 |access-date=28 April 2023 |publisher=Academic Press |doi=10.1016/s0074-7742(09)86008-x |last2=Ramos Murguialday |first2=Ander |last3=Weber |first3=Cornelia |last4=Montoya |first4=Pedro|pmid=19607994 }}</ref>
*[http://www.isnr.org.htm The International Society for Neuronal Regulation] hosts annual professional conferences, and publishes a peer-reviewed journal that focus on neurofeedback.

*[http://www.aapb.org.htm The Association for Applied Psychophysiology and Biofeedback] hosts an annual and regional professional conferences on applied psychophysiology including neurofeedback. They have published a peer reviewed journal since about 1975.
====LORETA (low resolution electromagnetic tomography analysis) training====
*[http://www.ecnsweb.com.htm The EEG and Clinical Neuroscience Society] is a medical EEG society that includes the exploration of neurofeedback in its statement of intentions, and publishes relavent articles in its journal ''Clinical EEG''.
Normal EEG signals are restricted to the surface of the scalp. Using a high number of electrodes (19 or more), the source of certain electrical events can be localized. Similar to a tomography that renders a 3D image out of many 2D images, the many EEG channels are used to create LORETA images that represent in 3D the electrical activity distribution within the brain. The LORETA method can be used in combination with MRI to merge structural and functional activities. It is able to provide even better temporal resolution than PET or fMRI. For the application with live neurofeedback, however, 19-channel neurofeedback and LORETA has limited scientific evidence, and until now, shows no benefit over traditional 1- or 2-channel neurofeedback.<ref>{{Cite journal |last1=Coben |first1=Robert |last2=Hammond |first2=D. Corydon |last3=Arns |first3=Martijn |date=1 March 2019 |title=19 Channel Z-Score and LORETA Neurofeedback: Does the Evidence Support the Hype? |url=https://doi.org/10.1007/s10484-018-9420-6 |journal=Applied Psychophysiology and Biofeedback |volume=44 |issue=1 |pages=1–8 |doi=10.1007/s10484-018-9420-6 |issn=1573-3270 |pmc=6373269 |pmid=30255461}}</ref>
*[http://www.bcia.org.htm The Biofeedback Certification Institute of America] is the recognized certification organization for licensed professionals competent in applied psychophysiology, including neurofeedback.

==Discussion and critique==
There is ongoing discussion about the effect size of neurofeedback in the scientific literature. As neurofeedback is explained mostly based on the model of operant conditioning,<ref>{{cite journal |last1=Dessy |first1=Emilie |last2=Mairesse |first2=Olivier |last3=van Puyvelde |first3=Martine |last4=Cortoos |first4=Aisha |last5=Neyt |first5=Xavier |last6=Pattyn |first6=Nathalie |title=Train Your Brain? Can We Really Selectively Train Specific EEG Frequencies with Neurofeedback Training |journal=Frontiers in Human Neuroscience |date=10 March 2020 |volume=14 |page=22 |doi=10.3389/fnhum.2020.00022 |doi-access=free |pmid=32210777 |pmc=7077336 }}</ref> the sensitivity of the feedback (the difficulty to receive a reward) also plays a role. It has been shown that the desired conditioning can be reversed if threshold values are set too low.<ref>{{Cite journal |last1=Bauer |first1=Robert |last2=Vukelić |first2=Mathias |last3=Gharabaghi |first3=Alireza |date=1 September 2016 |title=What is the optimal task difficulty for reinforcement learning of brain self-regulation? |url=https://www.sciencedirect.com/science/article/pii/S1388245716304461 |journal=Clinical Neurophysiology |volume=127 |issue=9 |pages=3033–3041 |doi=10.1016/j.clinph.2016.06.016 |pmid=27472538 |s2cid=3686790 |issn=1388-2457}}</ref> Other publications have not found any effect of neurofeedback, apart from placebo, when using automatic thresholds that update every thirty seconds in order to maintain a constant success rate of 80%.<ref>{{Cite journal |last1=Thibault |first1=Robert T. |last2=Raz |first2=Amir |date=October 2017 |title=The psychology of neurofeedback: Clinical intervention even if applied placebo. |url=http://doi.apa.org/getdoi.cfm?doi=10.1037/amp0000118 |journal=American Psychologist |volume=72 |issue=7 |pages=679–688 |doi=10.1037/amp0000118 |pmid=29016171 |s2cid=4650115 |issn=1935-990X}}</ref><ref>{{Cite journal |last1=Thibault |first1=Robert T. |last2=Lifshitz |first2=Michael |last3=Birbaumer |first3=Niels |last4=Raz |first4=Amir |date=2015 |title=Neurofeedback, Self-Regulation, and Brain Imaging: Clinical Science and Fad in the Service of Mental Disorders |url=https://www.karger.com/Article/FullText/371714 |journal=Psychotherapy and Psychosomatics |volume=84 |issue=4 |pages=193–207 |doi=10.1159/000371714 |pmid=26021883 |s2cid=17750375 |issn=0033-3190}}</ref>

==See also==
* [[Brainwave synchronization]]
* [[Decoded neurofeedback]]
* [[Mind machine]]
* [[Neuromodulation (medicine)|Neuromodulation]]

==References==
{{reflist}}

==Further reading==
{{refbegin}}
* {{cite book |title=Neurofeedback: How it all started |vauthors=Arns M, Sterman MB |publisher=Brainclinics Insights |year=2019 |isbn=978-90-830013-0-2 |location=Nijmegen, The Netherlands}}
* {{cite book |vauthors=Evans JR, Abarbanel A |title=An introduction to quantitative EEG and Neurofeedback. |publisher=Academic Press |location=San Diego |date=1999}}
* {{cite book |title=Joe Kamiya: Thinking Inside the Box |vauthors=Kerson C, Collura T, Kamiya J |publisher=Bmed Press LLC |year=2020 |isbn=978-1-7349618-0-5 |location=Corpus Christi, Tx}}
{{refend}}

⚫
==External links==
* [http://news.bbc.co.uk/2/hi/health/3091595.stm BBC article about neurofeedback improving the performance of musicians]
* {{cite news |title=''Golf gadget cuts scores at a stroke by calming brain'' |url=https://www.thetimes.co.uk/article/golf-gadget-cuts-scores-at-a-stroke-by-calming-brain-f5kc06057|newspaper=The Times|date=9 January 2017}}


{{Authority control}}
The following are businesses associated with the industry:
*[http://www.eegspectrum.com EEG Spectrum International, Inc.] is a corporation whose pledge is to "promote the achievement of full human potential through brain-based self-regulation techniques, and to help evolve human consciousness through the exploration and development of advanced technologies for self-regulation, self-awareness and self-knowledge".[http://www.eegspectrum.com/AboutUs]
*[http://openeeg.sourceforge.net OpenEEG] is an [[open source]] hardware and software project for amateur and professional neurofeedback practitioners alike.
*[http://www.brain-trainer.com The Learning Curve, Inc.] (TLC) is a private company who provides assessment and training services and equipment for individuals interested in adopting neurofeedback into their personal or professional practice.
*[http://www.cyberevolution.com BioExplorer] software works with many hardware platforms and provides a wide range of options for creating and modifying neurofeedback design protocols.


[[Category:Devices to alter consciousness]]
{{med-stub}}
[[Category:Medical tests]]
[[Category:Electroencephalography]]
[[Category:Evoked potentials]]
[[Category:Neurotechnology]]
[[Category:Behaviorism]]
[[Category:Attention deficit hyperactivity disorder management]]
[[Category:Alternative medical systems]]
[[Category:Naturopathy]]
[[Category:Neuropsychology]]

Latest revision as of 00:01, 16 August 2024

Neurofeedback training process diagram

Neurofeedback is a form of biofeedback that uses electrical potentials in the brain to reinforce desired brain states through operant conditioning. This process is non-invasive and typically collects brain activity data using electroencephalography (EEG). Several neurofeedback protocols exist, with potential additional benefit from use of quantitative electroencephalography (QEEG) or functional magnetic resonance imaging (fMRI) to localize and personalize treatment.[1][2] Related technologies include functional near-infrared spectroscopy-mediated (fNIRS) neurofeedback, hemoencephalography biofeedback (HEG), and fMRI biofeedback.

Placebo-controlled trials have often found the control group to show the same level of improvement as the group receiving actual neurofeedback treatment, which suggests these improvements may be caused by secondary effects instead.[3][4][5] Neurofeedback has been shown to trigger positive behavioral outcomes, such as relieving symptoms related to psychiatric disorders or improving specific cognitive functions in healthy participants. These positive behavioral outcomes rely on brain plasticity mechanisms and the ability of subjects to learn throughout life.[6]

History

[edit]

In 1898, Edward Thorndike formulated the law of effect. In his work, he theorized that behavior is shaped by satisfying or discomforting consequences. This set the foundation for operant conditioning.[citation needed]

In 1924, the German psychiatrist Hans Berger connected several electrodes to a patient's scalp and detected a small current by using a ballistic galvanometer. In his subsequent studies, Berger analyzed EEGs qualitatively, but in 1932, G. Dietsch applied Fourier analysis to seven EEG records and later became the first researcher to apply quantitative EEG (QEEG).

In 1950, Neal E. Miller of Yale University was able to train mice to regulate their heartbeat frequency. Later on, he continued his work with humans, training them through auditory feedback.[7]

The first study to demonstrate neurofeedback was reported by Joe Kamiya in 1962.[8][9] Kamiya's experiment had two parts: In the first part, a subject was asked to keep their eyes closed, and when a tone sounded, to say whether they were experiencing alpha waves. Initially, the subject would guess correctly about fifty percent of the time, but some subjects would eventually develop the ability to better distinguish between states.[10]

M. Barry Sterman trained cats to modify their EEG patterns to exhibit more of the so-called sensorimotor rhythm (SMR). He published this research in 1967. Sterman subsequently discovered that the SMR-trained cats were much more resistant to epileptic seizures after exposure to the convulsant chemical monomethylhydrazine than non-trained cats.[11] In 1971, he reported similar improvements with an epileptic patient whose seizures could be controlled through SMR training.[12] Joel Lubar contributed to the research of EEG biofeedback, starting with epilepsy[13] and later with hyperactivity and ADHD.[5] Ming-Yang Cheng was instrumental in advancing research on EEG neurofeedback, specifically targeting enhancements in SMR power among skilled golfers.[14]

Neuroplasticity

[edit]

In 2010, a study provided some evidence of neuroplastic changes occurring after brainwave training. In this study, half an hour of voluntary control of brain rhythms led to a lasting shift in cortical excitability and intracortical function.[15] The authors observed that the cortical response to transcranial magnetic stimulation (TMS) was significantly enhanced after neurofeedback, persisted for at least twenty minutes, and was correlated with an EEG time-course indicative of activity-dependent plasticity[15]

Types of neurofeedback

[edit]

The term neurofeedback is not legally protected. There are various approaches that give feedback about neuronal activity, and as such are referred to as "neurofeedback" by their respective operators. Distinctions can be made on several levels. The first takes into account which technology is being used (EEG,[16][17][18][19][20][14] fMRI,[21][22][23][24] fNIRS,[25] HEG). Nonetheless, further distinctions are crucial even within the realm of EEG neurofeedback, as different methodologies of analysis can be chosen, some of which are backed up by a higher number of peer-reviewed studies, whereas for others, scientific literature is scarce, and explanatory models are entirely missing.

Despite these differences, a common denominator can be found in the requirement of providing feedback. Usually, feedback is provided by auditory or visual input. While original feedback was provided by sounding tones according to neurological activity, many new ways have been found. It is possible to listen to music or podcasts where the volume is controlled as feedback, for example. Often, visual feedback is used in the form of animations on a TV screen. Visual feedback can also be provided in combination with videos and films, or even during reading tasks where the brightness of the screen represents the direct feedback. Simple games can also be used, where the game itself is controlled by the brain activity. Recent developments have tried to incorporate virtual reality (VR), and controllers can already be used for more involved engagement with the feedback.

EEG neurofeedback

[edit]

Frequency band / amplitude training

[edit]

Amplitude training, or frequency band training (used synonymously), is the method with the largest body of scientific literature; it also represents the original method of EEG neurofeedback.[8][12][5] The EEG signal is analyzed with respect to its frequency spectrum, split into the common frequency bands used in EEG neuroscience (delta, theta, alpha, beta, gamma). The activity involves training the amplitude of a certain frequency band on a defined location on the scalp to higher or lower values.

Depending on the training goal (for example, increasing attention and focus,[26][27] reaching a calm state,[28] reducing epileptic seizures,[12][29][30] etc.), the electrodes have to be placed in different positions. Additionally, the trained frequency bands and the training directions (to higher or lower amplitudes) might vary according to the training goal.

Thus, EEG wave components that are expected to be beneficial to the training goal are rewarded with positive feedback when appearing and/or increasing in amplitude. Frequency band amplitudes that are expected to be hindering are trained downwards by reinforcement through the feedback.

As an example, considering ADHD, this would result in training low-beta or mid-beta frequencies in the central-to-frontal lobe to increase in amplitude, while simultaneously trying to reduce theta and high-beta amplitudes in the same region of the brain.[31][32][33]

In the sports domain, SMR training has garnered attention, with a substantial body of research suggesting that enhancing it could improve performance.[34] This improvement is particularly evident after multiple training sessions[14] designed to enhance motor skills critical for precise movements. Such precision is required in various sports activities,[35] including golf putting, soccer free kicks, and basketball free throws.

SCP training

[edit]

For SCP (slow cortical potentials) training, one trains the DC voltage component of the EEG signal. The application of this type of EEG neurofeedback training was mostly endorsed by research done by Niels Birbaumer and his group. The most common symptom base for SCP training is ADHD, whereas SCPs also find their application in brain-computer interfaces.[36]

LORETA (low resolution electromagnetic tomography analysis) training

[edit]

Normal EEG signals are restricted to the surface of the scalp. Using a high number of electrodes (19 or more), the source of certain electrical events can be localized. Similar to a tomography that renders a 3D image out of many 2D images, the many EEG channels are used to create LORETA images that represent in 3D the electrical activity distribution within the brain. The LORETA method can be used in combination with MRI to merge structural and functional activities. It is able to provide even better temporal resolution than PET or fMRI. For the application with live neurofeedback, however, 19-channel neurofeedback and LORETA has limited scientific evidence, and until now, shows no benefit over traditional 1- or 2-channel neurofeedback.[37]

Discussion and critique

[edit]

There is ongoing discussion about the effect size of neurofeedback in the scientific literature. As neurofeedback is explained mostly based on the model of operant conditioning,[38] the sensitivity of the feedback (the difficulty to receive a reward) also plays a role. It has been shown that the desired conditioning can be reversed if threshold values are set too low.[39] Other publications have not found any effect of neurofeedback, apart from placebo, when using automatic thresholds that update every thirty seconds in order to maintain a constant success rate of 80%.[40][41]

See also

[edit]

References

[edit]
  1. ^ Mehler DM, Sokunbi MO, Habes I, Barawi K, Subramanian L, Range M, et al. (December 2018). "Targeting the affective brain-a randomized controlled trial of real-time fMRI neurofeedback in patients with depression". Neuropsychopharmacology. 43 (13): 2578–2585. doi:10.1038/s41386-018-0126-5. PMC 6186421. PMID 29967368.
  2. ^ Arns M, Drinkenburg W, Leon Kenemans J (September 2012). "The effects of QEEG-informed neurofeedback in ADHD: an open-label pilot study". Applied Psychophysiology and Biofeedback. 37 (3): 171–80. doi:10.1007/s10484-012-9191-4. PMC 3419351. PMID 22446998.
  3. ^ Lansbergen MM, van Dongen-Boomsma M, Buitelaar JK, Slaats-Willemse D (February 2011). "ADHD and EEG-neurofeedback: a double-blind randomized placebo-controlled feasibility study". Journal of Neural Transmission. 118 (2): 275–284. doi:10.1007/s00702-010-0524-2. PMC 3051071. PMID 21165661.
  4. ^ Arnold LE, Arns M, Barterian J, Bergman R, Black S, Conners CK, et al. (July 2021). "Double-Blind Placebo-Controlled Randomized Clinical Trial of Neurofeedback for Attention-Deficit/Hyperactivity Disorder With 13-Month Follow-up". Journal of the American Academy of Child and Adolescent Psychiatry. 60 (7): 841–855. doi:10.1016/j.jaac.2020.07.906. PMC 7904968. PMID 32853703.
  5. ^ a b c Lubar JF, Shouse MN (September 1976). "EEG and behavioral changes in a hyperkinetic child concurrent with training of the sensorimotor rhythm (SMR): A preliminary report". Biofeedback and Self-Regulation. 1 (3): 293–306. doi:10.1007/BF01001170. ISSN 0363-3586. PMID 990355. S2CID 17141352.
  6. ^ Loriette C (2021). "Neurofeedback for cognitive enhancement and intervention and brain plasticity". Revue Neurologique. 177 (9): 1133–1144. doi:10.1016/j.neurol.2021.08.004. PMID 34674879.
  7. ^ Pickering TG, Miller NE (1 September 1975). "Learned Voluntary Control of Heart Rate and Rhythm in Two Subjects with Premature Ventricular Contractions". Clinical Science. 49 (3): 17P–18P. doi:10.1042/cs049017Pd. ISSN 0301-0538.
  8. ^ a b Kamiya J (1979), "Autoregulation of the EEG Alpha Rhythm: A Program for the Study of Consciousness", Mind/Body Integration, Boston, MA: Springer US, pp. 289–297, doi:10.1007/978-1-4613-2898-8_25, ISBN 978-1-4613-2900-8, retrieved 28 April 2023
  9. ^ Kamiya J (22 February 2011). "The First Communications About Operant Conditioning of the EEG". Journal of Neurotherapy. 15 (1): 65–73. doi:10.1080/10874208.2011.545764. ISSN 1087-4208.
  10. ^ Frederick JA (September 2012). "Psychophysics of EEG alpha state discrimination". Consciousness and Cognition. 21 (3): 1345–1354. doi:10.1016/j.concog.2012.06.009. PMC 3424312. PMID 22800733.
  11. ^ Sterman MB (January 2000). "Basic Concepts and Clinical Findings in the Treatment of Seizure Disorders with EEG Operant Conditioning". Clinical Electroencephalography. 31 (1): 45–55. doi:10.1177/155005940003100111. ISSN 0009-9155. PMID 10638352. S2CID 43506749.
  12. ^ a b c Sterman M, Friar L (July 1972). "Suppression of seizures in an epileptic following sensorimotor EEG feedback training". Electroencephalography and Clinical Neurophysiology. 33 (1): 89–95. doi:10.1016/0013-4694(72)90028-4. PMID 4113278.
  13. ^ Seifert A, Lubar J (November 1975). "Reduction of epileptic seizures through EEG biofeedback training". Biological Psychology. 3 (3): 157–184. doi:10.1016/0301-0511(75)90033-2. PMID 812560. S2CID 15698128.
  14. ^ a b c Cheng MY, Huang CJ, Chang YK, Koester D, Schack T, Hung TM (1 December 2015). "Sensorimotor Rhythm Neurofeedback Enhances Golf Putting Performance". Journal of Sport and Exercise Psychology. 37 (6): 626–636. doi:10.1123/jsep.2015-0166. ISSN 1543-2904. PMID 26866770.
  15. ^ a b Ros T, Munneke MA, Ruge D, Gruzelier JH, Rothwell JC (February 2010). "Endogenous control of waking brain rhythms induces neuroplasticity in humans". The European Journal of Neuroscience. 31 (4): 770–8. doi:10.1111/j.1460-9568.2010.07100.x. PMID 20384819. S2CID 16969327.
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  17. ^ Kluetsch RC, Ros T, Théberge J, Frewen PA, Calhoun VD, Schmahl C, Jetly R, Lanius RA (August 2014). "Plastic modulation of PTSD resting-state networks and subjective wellbeing by EEG neurofeedback". Acta Psychiatrica Scandinavica. 130 (2): 123–136. doi:10.1111/acps.12229. PMC 4442612. PMID 24266644.
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Further reading

[edit]
  • Arns M, Sterman MB (2019). Neurofeedback: How it all started. Nijmegen, The Netherlands: Brainclinics Insights. ISBN 978-90-830013-0-2.
  • Evans JR, Abarbanel A (1999). An introduction to quantitative EEG and Neurofeedback. San Diego: Academic Press.
  • Kerson C, Collura T, Kamiya J (2020). Joe Kamiya: Thinking Inside the Box. Corpus Christi, Tx: Bmed Press LLC. ISBN 978-1-7349618-0-5.
[edit]
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