Jump to content

Neurofeedback: Difference between revisions

From Wikipedia, the free encyclopedia
Browse history interactively
← Previous edit
Content deleted Content added
VisualWikitext
revert promo, COI editor
Reverted 1 edit by Michelaparisi5 (talk): Spam
Tags: Twinkle Undo Mobile edit Mobile web edit Advanced mobile edit
 
(47 intermediate revisions by 25 users not shown)
Line 1: Line 1:
{{Short description|Type of biofeedback}}
{{Short description|Type of biofeedback}}
{{cs1 config|name-list-style=vanc}}
{{More citations needed|date=May 2023}}
{{Use dmy dates|date=May 2023}}
{{Use dmy dates|date=February 2024}}
[[File:Neurofeedback Process Diagram.png|thumb|470x470px|Neurofeedback training process diagram]]
[[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.
'''Neurofeedback''' is a type of [[biofeedback]] that focuses on the neuronal activity of the brain. The training method is based on reward learning ([[operant conditioning]]) where a real-time feedback provided to the trainee is supposed to reinforce desired brain activity or inhibit unfavorable activity patterns.


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>
Different mental states (for example, concentration, relaxation, creativity, distractibility, rumination, etc.) are associated with different brain activities or brain states.

Similarly, symptoms of mental or brain-related health issues are associated with neuronal overarousal, underarousal, disinhibition, or instability. Thus, neurofeedback tries to yield symptom relief through an improved regulation of neuronal activity. &nbsp;

Apart from being a therapeutic approach, neurofeedback is increasingly used for healthy people as well, aiming at improved cognitive regulation skills according to individual goals and needs.

There are various methods of providing feedback of neurological activity. The most common application uses the measurement of electroencephalography ([[Electroencephalography|EEG]]), where the electrical activity of the brain is recorded by electrodes placed on the scalp. Other, less usual methods, rely on functional magnetic resonance ([[Functional magnetic resonance imaging|fMRI]]), functional near-infrared spectroscopy ([[Functional near-infrared spectroscopy|fNIRS]]), or hemoencephalography biofeedback ([[Hemoencephalography|HEG]]).


==History==
==History==
Line 19: Line 13:
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 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 trough auditory feedback.<ref>{{Cite journal |last=Pickering |first=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>
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>


The first study to demonstrate neurofeedback was reported by Joe Kamiya in 1962.<ref>{{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 |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}}</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 |url=https://linkinghub.elsevier.com/retrieve/pii/S1053810012001511 |journal=Consciousness and Cognition |volume=21 |issue=3 |pages=1345–1354 |doi=10.1016/j.concog.2012.06.009 |pmc=3424312 |pmid=22800733}}</ref>
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>


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 where 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 |issn=0009-9155}}</ref> In 1971, he reported similar improvements with an epileptic patient whose seizures could be controlled through SMR training.<ref>{{Cite journal |last=Sterman |first=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}}</ref> Joel Lubar contributed to the research of EEG biofeedback, starting with epilepsy<ref>{{Cite journal |last=Seifert |first=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}}</ref> and later with hyperactivity and [[Attention deficit hyperactivity disorder|ADHD]].<ref>{{Cite journal |last=Lubar |first=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 |issn=0363-3586}}</ref>
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>


==Neuroplasticity==
==Neuroplasticity==
In 2010, a study provided some evidence of [[neuroplastic]] changes occurring after brainwave training. Half an hour of voluntary control of brain rhythms led in this study 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 20-minutes, and was correlated with an EEG time-course indicative of [[activity-dependent plasticity]]<ref name="Ros_2010" />
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==
==Types of neurofeedback==
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.
The term neurofeedback is not legally protected. There are various approaches that give a 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 level takes into account which technology is being used (EEG, fMRI, fNIRS, HEG). Nonetheless, further distinctions are crucial even with 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 or explanatory models are even still entirely missing.


Despite the many crucial 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 the neurological activity many new ways have been found. It is possible to listen to music or podcasts where the volume is controlled as a feedback, for example. Often visual feedback is used in form of animations on a TV screens. 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. Also simple games can be used where the game itself is controlled by the brain activity. Recent development tries to incorporate virtual reality (VR) and controllers can already be used for more involved engagement with the feedback.
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===
===EEG neurofeedback===
⚫
====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.
⚫
====Frequency band training / 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. The EEG signal is analyzed with respect to its frequency spectrum spit into the common frequency bands used in EEG [[neuroscience]] (Delta, Theta, Alpha, Beta, Gamma). The training 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, reaching a calm state, reducing epileptic seizures, etc…) different positions of the active electrodes have to be selected. 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.
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 ADD/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 HighBeta amplitudes in the same region of the brain.<ref>{{Cite journal |last=Van Doren |first=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 |language=en |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 |last=Enriquez-Geppert |first=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 |language=en |volume=21 |issue=6 |pages=46 |doi=10.1007/s11920-019-1021-4 |issn=1535-1645 |pmc=6538574 |pmid=31139966}}</ref><ref>{{Cite journal |last=Dashbozorgi |first=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 |language=en |volume=12 |issue=5 |pages=693–702 |doi=10.32598/bcn.2021.2363.1}}</ref>
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>


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.
====SCP-training====
⚫
For SCP training (Slow Cortical Potentials, SCP) one trains the dc voltage component of the EEG signal. The application of this type of EEG neurofeedback training was mostly endorsed by the research of the group around Niels Birbaumer. The most common symptom base for SCP training is ADD/ADHD whereas SCPs also find their application in Brain-Computer-Interfaces.<ref>{{Citation |last=Birbaumer |first=Niels |title=Chapter 8 Neurofeedback and Brain–Computer Interface: Clinical Applications |date=1 January 2009 |url=https://www.sciencedirect.com/science/article/pii/S007477420986008X |work=International Review of Neurobiology |volume=86 |pages=107–117 |access-date=28 April 2023 |publisher=Academic Press |language=en |doi=10.1016/s0074-7742(09)86008-x |last2=Ramos Murguialday |first2=Ander |last3=Weber |first3=Cornelia |last4=Montoya |first4=Pedro}}</ref>


====Other methods====
====SCP training====
⚫
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>
Several other methods are known in the neurofeedback community which find their application in therapy but exhibit significantly less scientific support.


=====Z-Score training=====
====LORETA (low resolution electromagnetic tomography analysis) training====
⚫
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>
Live-Z.Score training describes training that is based on live comparison of EEG variables (power, asymmetries, coherence, phase-lag) to a normative database. The existing normative databases are a large step towards understanding general brain activity patterns. However, for the use of live-Z-Score training several major issues are prevalent.

Currently, available databases are not open to public to review the quality of the recordings.

Compared to other normative databases used in medical application (for example blood levels) the sample size for EEG databases used for neurofeedback is extremely small due to the high effort required to obtain data sets. Despite the non-negligible difficulties of obtaining large sample sizes the question about whether a generalization is possible remains unanswered. Especially, as the used databases are based solely on the American population which limits the generalization to other populations even further.

The databases provide norms to eyes open or eyes closed states. However, during live-neurofeedback people often do a mental task to control the feedback which is a state that can differ significantly from normative or "idle" states.

Training to a "norm" may be beneficial to low functioning people but can certainly not be used for peak performers who try to exceed the "norm".

=====Coherency training=====
For this method the training targets the coherency of two (or more) signals from a selected frequency band stemming from two (or more) different electrode locations. The coherence is a measure of synchronized activity of different or larger brain areas.

=====ILF (infra-low-frequency) training=====
ILF Training targets infra slow fluctuations with frequencies below 0.1&nbsp;Hz where either the amplitude or the phase of the signal are trained. According to the users there is an individual „optimal reward frequency“ (ORF) that has to be found by the therapist throughout the sessions and trained. Until now, ILF training lacks a scientific explanatory model. The meaning and the effect of a personal ORF are not clear from a point of EEG neuroscience.

=====LORETA (low resolution electromagnetic tomography analysis) training=====
⚫
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 which represent a 3D electrical activity distribution of the brain. The LORETA method can 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 |last=Coben |first=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 |language=en |volume=44 |issue=1 |pages=1–8 |doi=10.1007/s10484-018-9420-6 |issn=1573-3270 |pmc=6373269 |pmid=30255461}}</ref>

===fMRI neurofeedback===
Neurofeedback can also be realized using functional magnetic resonance imaging (fMRI). This method is not in use by usual therapists or trainers due to the high cost and effort intrinsic to MRI measurements. Nonetheless, this approach finds its use in clinical research to visualize effects and changes in the brain due to neurofeedback with MRI methods. Other than EEG neurofeedback which relies on electrical signals, fMRI relies on measuring blood oxygen level dependent (BOLD) signals. Due to the MRI tube that subjects have to be in for the measurement the feedback is mostly provided via acoustic signals.

===HEG neurofeedback===
Similar to fMRI, hemoencephalography (HEG) relies on signals based on changes of the hemoglobin species (oxyhemoglobin and deoxyhemoglobin). Using the species dependent optical absorption the oxygen consumption on different areas of the brain close to the scalp can be visualized. While this method is more robust against measurement artifact through movement compared to EEG recordings, it is limited to bald regions of the scalp due to interference with hair.


==Discussion and critique==
==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>
Despite its growing application in the medical and performance field, there is still discussion about its effect size in the scientific literature. One major challenge is the non-standardized setting of Neurofeedback training. A large factor might be the non-standardized feedback in research. Based on operant conditioning the neurofeedback training has to provide positive feedback for favorable behavior (or in lesser cases negative feedback for unwanted activity). However, if the training person is fully indifferent about the feedback the effect might vanish. Motivation and interest are intrinsically impacting the brain’s activity which requires a feedback which effectively is evaluated as something positive for the individual such that the brain adapts the rewarded behavior.

Another challenge might be that rewarded frequency ranges can slightly vary from study to study and it is seen that specific characteristics, as for example, the alpha peak varies in position and intensity for different individuals. It’s implications on the exact frequency range that is expected to be favorable to train is not fully understood.

⚫
As neurofeedback is explained mostly based on the model of operant conditioning 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 it the threshold values are set too easy.<ref>{{Cite journal |last=Bauer |first=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 |language=en |volume=127 |issue=9 |pages=3033–3041 |doi=10.1016/j.clinph.2016.06.016 |issn=1388-2457}}</ref> Other publications did not find any effect of neurofeedback apart from placebo when using automatic thresholds that update every 30 seconds in order to maintain a constant success rate of 80%.<ref>{{Cite journal |last=Thibault |first=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 |language=en |volume=72 |issue=7 |pages=679–688 |doi=10.1037/amp0000118 |issn=1935-990X}}</ref><ref>{{Cite journal |last=Thibault |first=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 |language=en |volume=84 |issue=4 |pages=193–207 |doi=10.1159/000371714 |issn=0033-3190}}</ref> In this scenario the mechanism of operant condition can be erased. Despite these results, some neurofeedback providers still rely on fast automatic thresholds, or on too easy settings of the threshold.

Apart from the subconscious level of operant conditioning that has been proven to work even with animals neurofeedback and biofeedback can exploit beneficial effects on the conscious level. Trying different mental strategies, concentration tasks, or other similar trainings do benefit from a live feedback that explicitly show if, for example, you lost your concentration and, thus, reminds you of getting back to the task. In this scenario, neurofeedback works similar to a mirror while practicing dancing. By watching yourself in realtime you can consciously adapt your movement according to the „feedback“ of the mirror.

While there is a plethora of small studies cautiously indicating the efficacy of neurofeedback large scale, standardized studies are missing. Various details are expected to play a role, such as the type of neurofeedback, the training protocol (position and frequency bands), the feedback presented to the trainee, frequency and consistency of the training, the interaction between trainer and trainee, employed mental strategies, and many more. In the end, it is also expected that some people fall under the category of non-responders which do not yield benefits from the training. All these variables indicate that a standardized control will be similarly challenging as scientifically proving the effect of speech therapy.


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


==References==
==References==
Line 98: Line 59:
==Further reading==
==Further reading==
{{refbegin}}
{{refbegin}}
*{{cite book |title=Neurofeedback: How it all started |vauthors=Arns M, Sterman MB |publisher=Brainclinics Insights |year=2019 |isbn=9789083001302 |location=Nijmegen, The Netherlands}}
* {{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 |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}}
{{refend}}


==External links==
==External links==
* [http://news.bbc.co.uk/2/hi/health/3091595.stm BBC article about neurofeedback improving the performance of musicians]
* [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}}
* {{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}}
{{Authority control}}

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.
  16. ^ Lubar JF, Swartwood MO, Swartwood JN, O'Donnell PH (1 March 1995). "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". Biofeedback and Self-Regulation. 20 (1): 83–99. doi:10.1007/BF01712768. ISSN 1573-3270. PMID 7786929. S2CID 19193823.
  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.
  18. ^ Reiter K, Andersen SB, Carlsson J (February 2016). "Neurofeedback Treatment and Posttraumatic Stress Disorder: Effectiveness of Neurofeedback on Posttraumatic Stress Disorder and the Optimal Choice of Protocol". Journal of Nervous & Mental Disease. 204 (2): 69–77. doi:10.1097/NMD.0000000000000418. ISSN 0022-3018. PMID 26825263. S2CID 25210316.
  19. ^ Micoulaud-Franchi JA, Geoffroy PA, Fond G, Lopez R, Bioulac S, Philip P (2014). "EEG neurofeedback treatments in children with ADHD: an updated meta-analysis of randomized controlled trials". Frontiers in Human Neuroscience. 8: 906. doi:10.3389/fnhum.2014.00906. ISSN 1662-5161. PMC 4230047. PMID 25431555.
  20. ^ Omejc N, Rojc B, Battaglini PP, Marusic U (20 November 2018). "Review of the therapeutic neurofeedback method using electroencephalography: EEG Neurofeedback". Bosnian Journal of Basic Medical Sciences. 19 (3): 213–220. doi:10.17305/bjbms.2018.3785. ISSN 1840-4812. PMC 6716090. PMID 30465705.
  21. ^ Zotev V, Phillips R, Yuan H, Misaki M, Bodurka J (15 January 2014). "Self-regulation of human brain activity using simultaneous real-time fMRI and EEG neurofeedback". NeuroImage. Neuro-enhancement. 85: 985–995. arXiv:1301.4689. doi:10.1016/j.neuroimage.2013.04.126. ISSN 1053-8119. PMID 23668969. S2CID 2836232.
  22. ^ Pindi P, Houenou J, Piguet C, Favre P (December 2022). "Real-time fMRI neurofeedback as a new treatment for psychiatric disorders: A meta-analysis". Progress in Neuro-Psychopharmacology and Biological Psychiatry. 119: 110605. doi:10.1016/j.pnpbp.2022.110605. PMID 35843369. S2CID 250586279.
  23. ^ Linhartová P, Látalová A, Kóša B, Kašpárek T, Schmahl C, Paret C (June 2019). "fMRI neurofeedback in emotion regulation: A literature review". NeuroImage. 193: 75–92. doi:10.1016/j.neuroimage.2019.03.011. PMID 30862532. S2CID 72333597.
  24. ^ Nicholson AA, Rabellino D, Densmore M, Frewen PA, Paret C, Kluetsch R, Schmahl C, Théberge J, Neufeld RW, McKinnon MC, Reiss JP, Jetly R, Lanius RA (January 2017). "The neurobiology of emotion regulation in posttraumatic stress disorder: Amygdala downregulation via real-time fMRI neurofeedback". Human Brain Mapping. 38 (1): 541–560. doi:10.1002/hbm.23402. ISSN 1065-9471. PMC 6866912. PMID 27647695.
  25. ^ Kohl SH, Mehler DM, Lührs M, Thibault RT, Konrad K, Sorger B (21 July 2020). "The Potential of Functional Near-Infrared Spectroscopy-Based Neurofeedback—A Systematic Review and Recommendations for Best Practice". Frontiers in Neuroscience. 14: 594. doi:10.3389/fnins.2020.00594. ISSN 1662-453X. PMC 7396619. PMID 32848528.
  26. ^ Arns M, Clark CR, Trullinger M, deBeus R, Mack M, Aniftos M (June 2020). "Neurofeedback and Attention-Deficit/Hyperactivity-Disorder (ADHD) in Children: Rating the Evidence and Proposed Guidelines". Applied Psychophysiology and Biofeedback. 45 (2): 39–48. doi:10.1007/s10484-020-09455-2. ISSN 1090-0586. PMC 7250955. PMID 32206963.
  27. ^ Van Doren J, Arns M, Heinrich H, Vollebregt MA, Strehl U, K Loo S (March 2019). "Sustained effects of neurofeedback in ADHD: a systematic review and meta-analysis". European Child & Adolescent Psychiatry. 28 (3): 293–305. doi:10.1007/s00787-018-1121-4. ISSN 1018-8827. PMC 6404655. PMID 29445867.
  28. ^ Krylova M, Skouras S, Razi A, Nicholson AA, Karner A, Steyrl D, Boukrina O, Rees G, Scharnowski F, Koush Y (3 December 2021). "Progressive modulation of resting-state brain activity during neurofeedback of positive-social emotion regulation networks". Scientific Reports. 11 (1): 23363. Bibcode:2021NatSR..1123363K. doi:10.1038/s41598-021-02079-4. ISSN 2045-2322. PMC 8642545. PMID 34862407.
  29. ^ Sterman MB, Egner T (March 2006). "Foundation and Practice of Neurofeedback for the Treatment of Epilepsy". Applied Psychophysiology and Biofeedback. 31 (1): 21–35. doi:10.1007/s10484-006-9002-x. ISSN 1090-0586. PMID 16614940. S2CID 1445660.
  30. ^ Monderer RS, Harrison DM, Haut SR (June 2002). "Neurofeedback and epilepsy". Epilepsy & Behavior. 3 (3): 214–218. doi:10.1016/S1525-5050(02)00001-X. PMID 12662600. S2CID 31198834.
  31. ^ Van Doren J, Arns M, Heinrich H, Vollebregt MA, Strehl U, K Loo S (1 March 2019). "Sustained effects of neurofeedback in ADHD: a systematic review and meta-analysis". European Child & Adolescent Psychiatry. 28 (3): 293–305. doi:10.1007/s00787-018-1121-4. ISSN 1435-165X. PMC 6404655. PMID 29445867.
  32. ^ Enriquez-Geppert S, Smit D, Pimenta MG, Arns M (28 May 2019). "Neurofeedback as a Treatment Intervention in ADHD: Current Evidence and Practice". Current Psychiatry Reports. 21 (6): 46. doi:10.1007/s11920-019-1021-4. ISSN 1535-1645. PMC 6538574. PMID 31139966.
  33. ^ Dashbozorgi Z, Ghaffari A, Karamali Esmaili S, Ashoori J, Moradi A, Sarvghadi P (10 September 2021). "Effect of Neurofeedback Training on Aggression and Impulsivity in Children with Attention-Deficit/Hyperactivity Disorder: A Double-Blinded Randomized Controlled Trial". Basic and Clinical Neuroscience. 12 (5): 693–702. doi:10.32598/bcn.2021.2363.1. PMC 8818111. PMID 35173923. S2CID 237880490.
  34. ^ Xiang MQ, Hou XH, Liao BG, Liao JW, Hu M (1 May 2018). "The effect of neurofeedback training for sport performance in athletes: A meta-analysis". Psychology of Sport and Exercise. 36: 114–122. doi:10.1016/j.psychsport.2018.02.004. ISSN 1469-0292. S2CID 148988970.
  35. ^ Cheng MY, Wang KP, Hung CL, Tu YL, Huang CJ, Koester D, Schack T, Hung TM (September 2017). "Higher power of sensorimotor rhythm is associated with better performance in skilled air-pistol shooters". Psychology of Sport and Exercise. 32: 47–53. doi:10.1016/j.psychsport.2017.05.007. S2CID 33780406.
  36. ^ Birbaumer N, Ramos Murguialday A, Weber C, Montoya P (1 January 2009), "Chapter 8 Neurofeedback and Brain–Computer Interface: Clinical Applications", International Review of Neurobiology, 86, Academic Press: 107–117, doi:10.1016/s0074-7742(09)86008-x, PMID 19607994, retrieved 28 April 2023
  37. ^ Coben R, Hammond DC, Arns M (1 March 2019). "19 Channel Z-Score and LORETA Neurofeedback: Does the Evidence Support the Hype?". Applied Psychophysiology and Biofeedback. 44 (1): 1–8. doi:10.1007/s10484-018-9420-6. ISSN 1573-3270. PMC 6373269. PMID 30255461.
  38. ^ Dessy E, Mairesse O, van Puyvelde M, Cortoos A, Neyt X, Pattyn N (10 March 2020). "Train Your Brain? Can We Really Selectively Train Specific EEG Frequencies with Neurofeedback Training". Frontiers in Human Neuroscience. 14: 22. doi:10.3389/fnhum.2020.00022. PMC 7077336. PMID 32210777.
  39. ^ Bauer R, Vukelić M, Gharabaghi A (1 September 2016). "What is the optimal task difficulty for reinforcement learning of brain self-regulation?". Clinical Neurophysiology. 127 (9): 3033–3041. doi:10.1016/j.clinph.2016.06.016. ISSN 1388-2457. PMID 27472538. S2CID 3686790.
  40. ^ Thibault RT, Raz A (October 2017). "The psychology of neurofeedback: Clinical intervention even if applied placebo". American Psychologist. 72 (7): 679–688. doi:10.1037/amp0000118. ISSN 1935-990X. PMID 29016171. S2CID 4650115.
  41. ^ Thibault RT, Lifshitz M, Birbaumer N, Raz A (2015). "Neurofeedback, Self-Regulation, and Brain Imaging: Clinical Science and Fad in the Service of Mental Disorders". Psychotherapy and Psychosomatics. 84 (4): 193–207. doi:10.1159/000371714. ISSN 0033-3190. PMID 26021883. S2CID 17750375.

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]
Retrieved from "https://en.wikipedia.org/enwiki/w/index.php?title=Neurofeedback&oldid=1240549908"