Neurofeedback - CAM 20128

Description:
Neurofeedback describes techniques for providing feedback about neuronal activity, as measured by electroencephalogram biofeedback, functional magnetic resonance imaging, or near-infrared spectroscopy, to teach patients to self-regulate brain activity. Neurofeedback may use several techniques in an attempt to normalize unusual patterns of brain function in patients with various psychiatric and central nervous system disorders.

For individuals who have attention-deficit/hyperactivity disorder who receive neurofeedback, the evidence includes randomized controlled trials (RCTs) and a meta-analysis. The relevant outcomes are symptoms, functional outcomes, and quality of life. At least 6 moderately sized RCTs (n range, 90-113 patients) have compared neurofeedback with methylphenidate, attention skills training, and/or cognitive therapy. These trials found either small or no benefit of neurofeedback. Studies that used active controls have suggested that, at least part of the effect of neurofeedback may be due to attention skills training, relaxation training, and/or other nonspecific effects. Also, the beneficial effects are more likely to be reported by evaluators unblinded to treatment (parents) than by evaluators blinded (teachers) to treatment, suggesting bias in the nonblinded evaluations. A meta-analysis also found no effect of neurofeedback on objective measures of attention and inhibition. Additional research with blinded evaluation of outcomes is needed to demonstrate an effect of neurofeedback on attention-deficit/hyperactivity disorder. The evidence is insufficient to determine the effects of the technology on health outcomes.

For individuals who have disorders other than attention-deficit/hyperactivity disorder (e.g., epilepsy, substance abuse, pediatric brain tumors) who receive neurofeedback, the evidence includes case reports, case series, comparative cohorts, and small RCTs. The relevant outcomes are symptoms, functional outcomes, and quality of life. For these other disorders, including psychiatric, neurologic, and pain syndromes, the evidence is poor, and several questions concerning clinical efficacy remain unanswered. Larger RCTs that include either a sham or active control are needed to evaluate the effect of neurofeedback for these conditions. The evidence is insufficient to determine the effects of the technology on health outcomes.

Background 
Disorders of the Central Nervous System
Various of disorders involve abnormal brain activity, including autism spectrum disorder, insomnia and sleep disorders, learning disabilities, Tourette syndrome, traumatic brain injury, seizure disorders, premenstrual dysphoric disorder, menopausal hot flashes, depression, stress management, panic and anxiety disorders, posttraumatic stress disorder, substance abuse disorders, eating disorders, migraine headaches, stroke, Parkinson disease, fibromyalgia, tinnitus, and attention-deficit/hyperactivity disorder.

Treatment
Neurofeedback is being investigated for the treatment of a variety of disorders. Neurofeedback may be conceptualized as a type of biofeedback that has traditionally used the electroencephalogram (EEG) as a source of feedback data. Neurofeedback differs from established forms of biofeedback in that the information fed back to the patient (via EEG tracings, functional magnetic resonance imaging, near-infrared spectroscopy) is a direct measure of global neuronal activity, or brain state, compared with feedback of the centrally regulated physiologic processes, such as tension of specific muscle groups or skin temperature. The patient may be trained to increase or decrease the prevalence, amplitude, or frequency of specified EEG waveforms (e.g., alpha, beta, theta waves), depending on the changes in brain function associated with the particular disorder. It has been proposed that training of slow cortical potentials (SCPs) can regulate cortical excitability and that using the EEG as a measure of central nervous system functioning can help train patients to modify or control their abnormal brain activity. Upregulating or downregulating neural activity with real-time feedback of functional magnetic resonance imaging signals is also being explored. 

Two EEG-training protocols (training of SCPs, theta/beta training) are typically used in children with attention-deficit/hyperactivity disorder. For training of SCPs, surface-negative and surface-positive SCPs are generated over the sensorimotor cortex. Negative SCPs reflect increased excitation and occur during states of behavioral or cognitive preparation, while positive SCPs are thought to indicate a reduction of cortical excitation of the underlying neural networks and appear during behavioral inhibition. In theta/beta training, the goal is to decrease activity in the EEG theta band (4-8 Hz) and increase activity in the EEG beta band (13-20 Hz), corresponding to an alert and focused but relaxed state. Alpha-theta neurofeedback is typically used in studies on substance abuse. Neurofeedback protocols for depression focus on alpha interhemispheric asymmetry and theta/beta ratio within the left prefrontal cortex. Neurofeedback for epilepsy has focused on sensorimotor rhythm up-training (increasing 12-15 Hz activity at motor strip) or altering SCPs. It has been proposed that learned alterations in EEG patterns in epilepsy are a result of operant conditioning and are not conscious or voluntary. A variety of protocols have been described for treatment of migraine headaches.

Regulatory Status
A number of EEG-feedback systems (EEG hardware and computer software programs) have been cleared for marketing through the 510(k) process. For example, the BrainMaster™ 2E (BrainMaster Technologies) is “indicated for relaxation training using alpha EEG Biofeedback. In the protocol for relaxation, BrainMaster™ provides a visual and/or auditory signal that corresponds to the patient’s increase in alpha activity as an indicator of achieving a state of relaxation.” Although devices used during neurofeedback may be subject to U.S. Food and Drug Administration (FDA) regulation, the process of neurofeedback itself is a procedure, and, therefore, not subject to FDA approval. FDA product codes: HCC, GWQ. 

Related Policies
20127 Biofeedback as a Treatment of Urinary Incontinence in Adults
20129 Biofeedback as a Treatment of Headache
20130 Biofeedback as a Treatment of Chronic Pain
20153 Biofeedback for Miscellaneous Indications
20164 Biofeedback as a Treatment of Fecal Incontinence or Constipation
30103 Quantitative Electroencephalography as a Diagnostic Aid for Attention-Deficit/Hyperactivity Disorder

Policy:
Neurofeedback is considered investigational and/ or unproven and is therefore considered NOT MEDICALLY NECESSARY  

Benefit Application
BlueCard/National Account Issues
Neurofeedback may be administered either by a psychiatrist or psychologist.

Rationale
This evidence review was created in January 1998 with searches of the PubMed database. The most recent literature update was performed through April 22, 2021.

Evidence reviews assess the clinical evidence to determine whether the use of technology improves the net health outcome. Broadly defined, health outcomes are the length of life, quality of life, and ability to function, including benefits and harms. Every clinical condition has specific outcomes that are important to patients and managing the course of that condition. Validated outcome measures are necessary to ascertain whether a condition improves or worsens; and whether the magnitude of that change is clinically significant. The net health outcome is a balance of benefits and harms.

To assess whether the evidence is sufficient to draw conclusions about the net health outcome of technology, 2 domains are examined: the relevance, and quality and credibility. To be relevant, studies must represent 1 or more intended clinical use of the technology in the intended population and compare an effective and appropriate alternative at a comparable intensity. For some conditions, the alternative will be supportive care or surveillance. The quality and credibility of the evidence depend on study design and conduct, minimizing bias and confounding that can generate incorrect findings. The randomized controlled trial (RCT) is preferred to assess efficacy; however, in some circumstances, nonrandomized studies may be adequate. Randomized controlled trials are rarely large enough or long enough to capture less common adverse events and long-term effects. Other types of studies can be used for these purposes and to assess generalizability to broader clinical populations and settings of clinical practice.

Attention-Deficit/Hyperactivity Disorder
Clinical Context and Therapy Purpose
The purpose of neurofeedback is to provide a treatment option that is an alternative to or an improvement on existing therapies, such as behavioral therapy and pharmacologic therapy, in patients with attention-deficit/hyperactivity disorder (ADHD).

The question addressed in this evidence review is: Does neurofeedback reduce symptoms and improve functional outcomes in patients with ADHD?

The following PICO was used to select literature to inform this review.

Population
The relevant population of interest is individuals with ADHD.

Attention deficit hyperactivity disorder manifests in children as symptoms of hyperactivity, impulsivity, and/or inattention, and affects cognitive, academic, behavioral, emotional, and social function.1 It is one of the most common neurobehavioral disorders of childhood.

Interventions
The therapy being considered is neurofeedback.

Neurofeedback describes techniques for providing feedback about neuronal activity, as measured by electroencephalogram (EEG) biofeedback, functional magnetic resonance imaging, or near-infrared spectroscopy, to teach patients to self-regulate brain activity. Neurofeedback may use several techniques to normalize unusual patterns of brain function in patients with various psychiatric and central nervous system disorders.

Comparators
Guidelines for treatment of ADHD in children and adolescents generally recommend parent training in behavior management, FDA-approved medications (e.g., stimulants), and educational interventions. ADHD also occurs in adults, with a prevalence of approximately 3.4 to 4.4% of US adults. Guidelines for the treatment of ADHD in adults include recommendations for psychoeducation, pharmacotherapy, and cognitive behavioral therapy.2

Comparators of interest include behavioral therapy and pharmacologic therapy. Treatment includes support groups, cognitive behavioral therapy, anger management, counseling psychology, psychoeducation, family therapy, and applied behavior analysis. Medications for treatment include stimulants, cognition-enhancing medication, and antihypertensive drugs. Treatment is actively managed by psychologists, psychiatrists, and primary care providers in an outpatient clinical setting.

Outcomes
The general outcomes of interest are symptoms, functional outcomes, and quality of life.

Table 1. Outcomes of Interest for Individuals with ADHD

Outcomes Details
Symptoms Outcomes as reported by assessors (parents most-often, or teachers, usually unblinded and with a high risk of bias);
Attention Deficit Hyperactivity Disorder-Rating Scale (ADHS-RS, domains of inattention, hyperactivity/impulsiveness, and combined scores); Conners scale; Fremdbeurteilungsbogen für Hyperkinetische Störungen (FBB-HKS)
[Timing: greater than 1 year]

ADHD: attention-deficit/hyperactivity disorder.

Table 2. Health Outcome Measures Relevant to ADHD in Children and Adolescents

Outcome Measure (units) Description Clinically Meaningful Difference (If Known)
Attention-Deficit/Hyperactivity Disorder-Rating Scale (ADHD-RS) Scale from 0 to 54

Higher scores indicate more symptoms

18 items are grouped into 2 subscales: hyperactivity/impulsivity and inattentiveness
Short scale that can be completed by parent, teacher, or investigator based on information provided by teacher or parent Change between 5.2 and 7.7 points or 30% mean total score change between treatment groups3
Conners Parent Rating Scale for ADHD Scale from 0 to 144

Higher scores indicate more symptoms
Used by clinicians and researchers to assess parents' perception of children's behavior in the classroom

Assesses conduct problems, learning problems, psychometric problems, impulsivity and hyperactivity, and anxiety
Not defined3
Conners 3rd Edition-Parent (Conners 3-P) Scale with 9 subscales

Higher scores indicate more symptoms
Used by parents to assess symptoms of ADHD and common comorbid problems Not defined
Fremdbeurteilungsbogen für Hyperkinetische Störungen (FBB-HKS) Scale with 20 items

Higher scores indicate more symptoms
Items can be rated by parents or teacher Not defined

ADHD: attention-deficit/hyperactivity disorder.

In studies of neurofeedback, the duration of intervention was at least 1 month and ranged from 1 to 12 months.4,5,6 Follow-up studies of RCTs that reported longer-term outcomes have reported results at 6 months.7,8

Study Selection Criteria
Methodologically credible studies were selected using the following principles:

  • To assess efficacy outcomes, comparative controlled prospective trials were sought, with a preference for RCTs;
  • In the absence of such trials, comparative observational studies were sought, with a preference for prospective studies.
  • To assess long-term outcomes and adverse events, single-arm studies that capture longer periods of follow-up and/or larger populations were sought.
  • Within each category of study design, studies with larger sample sizes and longer duration were preferred.
  • Studies with duplicative or overlapping populations were excluded.

Review of Evidence
Systematic Reviews with Meta-Analysis
Numerous systematic reviews with meta-analyses have compared neurofeedback versus other treatments for ADHD in children, adolescents, and adults (Tables 3 to 5). 9,5,6,4,10 Comparators included methylphenidate, biofeedback, cognitive behavioral therapy, cognitive training, or physical activity. The results of these analyses generally demonstrated either small to moderate or no benefit of neurofeedback versus other treatments for ADHD symptoms.

Table 3. Trials Included in Systematic Reviews of Neurofeedback versus Other Treatments for ADHD

Trials Systematic Reviews        
  Cortese et al. (2016)9 Van Doren (2019)5 Yan et al. (2019)6 Lambez et al. (2020)4 Riesco-Matias (2021)10
Linden et al. (1996)        
Li et al. (2001)        
Heinrich et al. (2004)    
Klingberg et al. (2005)        
Bauregard et al. (2006)    
Zhang et al. (2006)        
Chen et al. (2007)        
Drechsler et al. (2007)        
Kong et al. (2007)        
Chen et al. (2009)        
Gevensleben et al. (2009)      
Holtmann et al. (2009)        
Ji et al. (2009)        
Zuo et al. (2009)        
Gevensleben et al. (2010)        
Virta et al. (2010)        
Bakhshayesh et al. (2011)    
Chen et al. (2011)        
Prins et al. (2011)        
Steiner et al. (2011)      
Chang et al. (2012)        
Fan et al. (2012)        
Zhou et al. (2012)        
Arnold et al. (2013)      
Li et al. (2013)      
Meisel et al. (2013)      
Miranda et al. (2013)        
Ogrim et al. (2013)        
VanDongen et al. (2013)      
Chang et al. (2014)        
Christiansen et al. (2014)      
Du et al. (2014)        
Maurizio et al. (2014)      
Meisel et al. (2014)        
Steiner et al. (2014)    
Vollebregt et al. (2014)        
Bink et al. (2015)    
Choi et al. (2015)        
Gapin et al. (2015)          
Menezes et al. (2015)        
Miranda et al. (2015)          
Moreno et al. (2015)        
Salomone et al. (2015)        
Pan et al. (2016)          
Yang et al. (2016)        
Duric et al. (2017)    
Gelade et al. (2017)    
Strehl et al. (2017)        
Tang et al. (2017)        
Gelade et al. (2018)        
Minder et al. (2018)        
Sudnawa et al. (2018)      
Moreno-Garcia et al. (2019)        

ADHD: attention-deficit/hyperactivity disorder. 

Table 4. Characteristics of Systematic Reviews and Meta-analyses of Neurofeedback for ADHD

Study Dates Trials Participants N (Range) Design Duration
Cortese et al. (2016)9 To August 30, 2015 13 Children and adolescents with ADHD (any subtype) or hyperkinetic disorder 520 (14-94) 13 RCTs of neurofeedback vs other care Follow-up: 2 to 12 months
Van Doren et al. (2019)5 To November 29, 2017 10 Children and adolescents with a primary diagnosis of ADHD 256 (11-41) 10 RCTs of neurofeedback vs other care Follow-up: 2 to 12 months
Yan et al. (2019)6 To August 22, 2018 18 Children, adolescents, and adults with ADHD 1535 (13-90) 18 RCTs of neurofeedback vs methylphenidate Follow-up: 1 to 6 months
Lambez et al. (2020)4 To December 2017 18 Children, adolescents, and adults with ADHD 618 (20-76) 18 RCTs of neurofeedback vs biofeedback, cognitive behavioral therapy, cognitive training, or physical activity Follow-up: 25 days to 8 months
Riesco-Matias et al. (2021)10 To July 18, 2018 17 Children and adolescents with a primary diagnosis of ADHD NR 16 RCTs of neurofeedback vs active and nonactive controls Follow up: NR

ADHD: attention-deficit/hyperactivity disorder; NR: not reported; RCT: randomized controlled trial.

Table 5. Results of Systematic Reviews and Meta-analyses of Neurofeedback for ADHD

Study ADHD Total Symptoms ADHD Inattention Symptoms ADHD Hyperactivity/Impulsiveness Symptoms Inhibition
Cortese et al. (2016)9        
Total N 13 trials (n=NR) 11 trials (n=NR) 10 trials (n=NR) NR
Pooled Effect (95% CI) Parent-reported:
SMD, 0.35 (0.11 to 0.59)

Teacher-reported:
SMD, 0.15 (-0.08 to 0.38)
Parent-reported:
SMD, 0.36 (0.09 to 0.63)

Teacher-reported:
SMD, 0.06 (-0.24 to 0.36)
Parent-reported:
SMD, 0.26 (0.08 to 0.43)

Teacher-reported:
SMD, 0.17 (-0.05 to 0.39)
NR
I2 (p) 41% (.06) 43% (.07) 0% (.8) NR
Van Doren et al. (2019)5,        
Total N NR 11 trials (n=NR) 11 trials (n=NR) NR
Pooled Effect (95% CI) NR SMD, 0.31 (-0.01 to 0.63) 0.32 (0.15 to 0.49) NR
I2 (p) NR 70% (.06) 0% (.0003) NR
Yan et al. (2019)6        
Total N 4 trials (n=228) 4 trials (n=228) 4 trials (n=228) NR
Pooled Effect (95% CI) SMD, −0.578 (−1.063 to –0.092) SMD, -0.667 (-1.245 to -0.109) SMD, -0.474 (-0.860 to 0.088) NR
I2 (p) 59% (.062) 70% (.019) 38% (.156) NR
Lambez et al. (2020)4        
Total N NR NR NR 6 trials (n=203)
Pooled Effect (95% CI) NR NR NR SMD, 0.61 (-3.77 to 4.82)
I2 (p) NR NR NR 0% (<.05)
Riesco-Matias et al. (2021)10        
Total N NR Unblinded evaluation: 11 trials (n=674)

Blinded evaluation: 9 trials (n=573)
Unblinded evaluation:11 trials (n=674)

Blinded evaluation: 9 trials (n=573)
NR
Pooled Effect (95% CI) NR Unblinded evaluation: SMD, -0.33 (-0.56 to -0.10)

Blinded evaluation: SMD, -0.25 (-0.45 to -0.04)
Unblinded evaluation: SMD, -0.17 (-0.33 to -0.02)

Blinded evaluation: SMD, -0.16 (-0.32 to 0.01)
NR
I2 (p) NR Unblinded: 49% (.005)

Blinded: 30% (.02)
Unblinded: 0% (.03)

Blinded: 0% (.06)
NR

ADHD: attention-deficit/hyperactivity disorder; CI: confidence interval; NR: not reported; SMD: standardized mean difference.

Randomized Controlled Trials Not Included in the Meta-Analyses
Several RCTs not included in the above systematic reviews are described below, which were published after the above meta-analyses.11,7,

Table 6. Characteristics of RCTs of Neurofeedback in ADHD

Study Countries Sites Dates Participants Interventions
Lim et al. (2019)11 Singapore 1 January 2012 to June 2016 Children age 6 to 12 years diagnosed with ADHD BCI-based neurofeedback attention training vs untreated waitlist control for 8 weeks followed by BCI-based neurofeedback attention training for 20 weeks
Aggensteiner et al. (2019)7 Germany NR (multicenter) September 2009 to January 2013 Children age 7 to 9 years diagnosed with ADHD SCP-based neurofeedback vs EMG-based biofeedback
Arnold et al. (2020)12 US 2 NR Children age 7 to 10 years diagnosed with moderate/severe ADHD and theta/beta ratio ≥4.5 Treatment consisted of downtraining theta power and uptraining beta power for 38 active neurofeedback treatments vs 38 control treatments

ADHD: attention-deficit/hyperactivity disorder; BCI: brain-computer interface; EMG: electromyography;NR: not reported; RCT: randomized controlled trial; SCP: slow cortical potential; US: United States.

Table 7. Results of RCTs of Neurofeedback in ADHD

Study ADHD-RS FBB-HKS Conners 3-P
Lim et al. (2019)11      
N 172    
BCI-based neurofeedback 8 weeks of intervention: 3.5 ± 3.87
20 weeks of intervention: 3.3 ± 5.55
4 weeks post-intervention: 4.7 ± 5.94
NR  
Waitlist control 8 weeks of intervention: 1.9 ± 4.42
20 weeks of intervention: 1.4 ± 3.94
4 weeks post-intervention: 2.0 ± 4.26
NR  
Difference [Neurofeedback - Control] (95% CI) 8 weeks of intervention: 1.6 points (0.3 to 0.29)
20 weeks of intervention: 2.4 points (1.6 to 3.2)
4 weeks post-intervention: 3.3 points (2.5 to 4.2)
NR  
Aggensteiner et al. (2019)7      
N 144 144  
SCP-based neurofeedback 1.28 1.33  
EMG-based biofeedback 1.30 1.38  
Difference [Neurofeedback - Control] (95% CI) NR -0.04 (-0.27 to 0.14)  
Arnold et al. (2020)12      
N     144
Neurofeedback     Change from baseline to end of treatment: -0.561

Change from baseline to 13-month follow-up: -0.612
Control (sham neurofeedback)     Change from baseline to end of treatment: -0.557

Change from baseline to 13-month follow-up: -0.524
Between-group difference for change from baseline to end of treatment (95% CI)     0.004 (-0.19 to 0.20)
Between-group difference for change from baseline to 13-month follow-up (95% CI)     0.087 (-0.32 to 0.79)

ADHD-RS: attention deficit-hyperactivity disorder-rating scale; BCI: brain-computer interface; CI: confidence interval; Conners 3-P: Conners 3rd Edition-Parent;EMG: electromyography;FBB-HKS: Fremdbeurteilungsbogen für Hyperkinetische Störungen; NR: not reported; RCT: randomized controlled trial;SCP: slow cortical potential.

Table 8. Study Relevance Limitations of RCTs of Neurofeedback in ADHD

Study Populationa Interventionb Comparatorc Outcomesd Duration of Follow-upe
Lim et al. (2019)11 4. Included patients from a single site in Singapore       1. Follow-up occurred only 4 weeks after intervention
Aggensteiner et al. (2019)7 4. Included patients from Germany        
Arnold et al. (2020)12          

ADHD: attention-deficit/hyperactivity disorder; RCT: randomized controlled trial.
The evidence limitations stated in this table are those notable in the current review; this is not a comprehensive gaps assessment.
a Population key: 1. Intended use population unclear; 2. Clinical context is unclear; 3. Study population is unclear; 4. Study population not representative of intended use.
b Intervention key: 1. Not clearly defined; 2. Version used unclear; 3. Delivery not similar intensity as comparator; 4. Not the intervention of interest.
c Comparator key: 1. Not clearly defined; 2. Not standard or optimal; 3. Delivery not similar intensity as intervention; 4. Not delivered effectively.
d Outcomes key: 1. Key health outcomes not addressed; 2. Physiologic measures, not validated surrogates; 3. No CONSORT reporting of harms; 4. Not establish and validated measurements; 5. Clinical significant difference not prespecified; 6. Clinical significant difference not supported.
e Follow-Up key: 1. Not sufficient duration for benefit; 2. Not sufficient duration for harms.

Table 9. Study Design and Conduct Limitations of RCTs of Neurofeedback in ADHD

Study Allocationa Blindingb Selective Reportingc Data Completenessd Powere Statisticalf
Lim et al. (2019)11 3. 1.Patients, parents, and investigators were unblinded; outcome assessors and teachers were blinded        
Aggensteiner et al. (2019)7 3. 1. Patients were unblinded; blinding of parents and teachers not reported     1.  
Arnold et al. (2020)12            

ADHD: attention-deficit/hyperactivity disorder; RCT: randomized controlled trial.
The evidence limitations stated in this table are those notable in the current review; this is not a comprehensive gaps assessment.
a Allocation key: 1. Participants not randomly allocated; 2. Allocation not concealed; 3. Allocation concealment unclear; 4. Inadequate control for selection bias.
b Blinding key: 1. Not blinded to treatment assignment; 2. Not blinded outcome assessment; 3. Outcome assessed by treating physician.
c Selective Reporting key: 1. Not registered; 2. Evidence of selective reporting; 3. Evidence of selective publication.
d Data Completeness key: 1. High loss to follow-up or missing data; 2. Inadequate handling of missing data; 3. High number of crossovers; 4. Inadequate handling of crossovers; 5. Inappropriate exclusions; 6. Not intent to treat analysis (per protocol for noninferiority trials).
e Power key: 1. Power calculations not reported; 2. Power not calculated for primary outcome; 3. Power not based on clinically important difference. f Statistical key: 1. Analysis is not appropriate for outcome type: (a) continuous; (b) binary; (c) time to event; 2. Analysis is not appropriate for multiple observations per patient; 3. Confidence intervals and/or p values not reported; 4. Comparative treatment effects not calculated.

Section Summary: Attention Deficit-Hyperactivity Disorder
Several meta-analyses and 3 additional moderately sized RCTs (n range, 144-172 patients) have compared neurofeedback with methylphenidate, biofeedback, cognitive behavioral therapy, cognitive training, or physical activity These studies found either small to moderate or no benefit of neurofeedback, and sustained long-term benefit (e.g., at 6 to 13 months) has not been consistently demonstrated. Studies using active controls have suggested that at least part of the effect of neurofeedback might be due to attention skills training, biofeedback, relaxation training, and/or other nonspecific effects. Two of the RCTs indicated that any beneficial effects were more likely to be reported by evaluators unblinded to treatment (parents), than by evaluators blinded (teachers) to treatment, which would suggest bias in the nonblinded evaluations. Moreover, a meta-analysis found no effect of neurofeedback on objective measures of attention and inhibition. Additional research with blinded evaluation of outcomes is needed to demonstrate the effect of neurofeedback on ADHD.

Disorders Other Than Attention Deficit-Hyperactivity Disorder
Clinical Context and Therapy Purpose
The purpose of neurofeedback is to provide a treatment option that is an alternative to or an improvement on existing therapies, such as behavioral therapy and pharmacologic therapy, in patients with disorders other than ADHD.

The question addressed in this evidence review is: Does neurofeedback reduce symptoms and improve functional outcomes in patients with psychiatric, central nervous system, or pain disorders other than ADHD?

The following PICO was used to select literature to inform this review.

Populations
The relevant population of interest is individuals with disorders other than ADHD, including psychiatric, central nervous system, or pain disorders.

Interventions
The therapy being considered is neurofeedback.

Comparators
Comparators of interest include behavioral therapy and pharmacologic therapy.

Outcomes
The general outcomes of interest are symptoms, functional outcomes, and quality of life.

Table 10. Outcomes of Interest for Individuals With Disorders Other Than ADHD

Outcomes Details
Reduction of Symptoms as Observed by Parents and Patients Attention Switching Task; Impact of Pediatric Epilepsy Scale; PTSD symptoms
[Timing: 6 weeks]

ADHD: attention-deficit/hyperactivity disorder; PTSD: post-traumatic stress disorder.

Table 11. Health Outcome Measures Relevant to Disorders Other Than ADHD

Outcome Measure (units) Description Clinically Meaningful Difference (If Known)
Attention Switching Task msec

Longer duration indicates more symptoms
Computerized task measuring ability to adjust behavior in accordance with changing task goals Not defined13
Impact of Pediatric Epilepsy Scale Scale from 0 to 33

Higher scores indicate more symptoms
Questionnaire administered to parent or guardian measuring domains of academic improvement, social adaptation, and self-esteem Not defined13
PTSD symptoms Various questionnaires

Higher scores indicate more symptoms
Various questionnaires administered to patients measuring the frequency and intensity of PTSD symptoms Not defined14
Sleep efficiency Percentage

Lower values indicate more symptoms
Measure of percentage of total time in bed spent asleep Not defined15
Sleep fragmentation Occurrences

Higher values indicate more symptoms
Measure of the number of awakening episodes by polysomnography or patient diary Not defined15
Total sleep time Minutes

Lower values indicate more symptoms
Measure of time spent asleep among total recording time Not defined15

ADHD: attention-deficit/hyperactivity disorder; PTSD: post-traumatic stress disorder.

Study Selection Criteria
Methodologically credible studies were selected using the following principles:

  • To assess efficacy outcomes, comparative controlled prospective trials were sought, with a preference for RCTs;
  • In the absence of such trials, comparative observational studies were sought, with a preference for prospective studies.
  • To assess long-term outcomes and adverse events, single-arm studies that capture longer periods of follow-up and/or larger populations were sought.
  • Within each category of study design, studies with larger sample size and longer duration were preferred.
  • Studies with duplicative or overlapping populations were excluded.

Review of Evidence
Chronic Insomnia
A systematic review by Melo (2019) included 7 RCTs of biofeedback techniques, including neurofeedback, in the treatment of chronic insomnia.16 The authors identified conflicting results in comparisons of neurofeedback with other cognitive behavioral therapy techniques, placebo, and no treatment; a majority of outcomes demonstrated no significant differences between comparison groups. A majority of studies had a high risk of bias related to blinding of participants and personnel and incomplete outcome data. 

Systematic Review with Meta-Analysis

Table 12. Characteristics of a Systematic Review and Meta-analysis of Neurofeedback for Chronic Insomnia

Study Dates Trials Participants N (Range) Design Duration
Melo et al. (2019)16 To 2019 7 Adults with chronic insomnia 224 (18-48) 7 RCTs of biofeedback techniques 10 days to 36 months

RCT: randomized controlled trial.

Table 13. Results of a Systematic Review and Meta-analysis of Neurofeedback for Chronic Insomnia

Study Total Sleep Time Sleep Fragmentation Sleep Efficiency
Melo et al. (2019)16      
Total N 2 trials (n=NR) 2 trials (n=NR) 2 trials (n=NR)
Pooled Effect (95% CI) No significant difference between biofeedback and placebo (effect estimate NR) Mean difference in number of awakenings, -4.5 (-8.33 to -0.67) No significant difference between biofeedback and placebo as measured by either polysomnography or sleep diaries (effect estimates NR)
I2 (p) NR NR NR

CI: confidence interval; NR: not reported.

Epilepsy
An RCT by Morales-Quezada (2019) randomized children with focal epilepsy to sensorimotor rhythm neurofeedback, slow cortical potential (SCP) neurofeedback, or sham neurofeedback for 25 sessions over 5 weeks.13 At the end of the intervention period, only the sensorimotor rhythm neurofeedback group demonstrated significant improvement in the activity switching task and all groups demonstrated significant improvements in quality of life.

Table 14. Characteristics of a Recent RCT of Neurofeedback in Epilepsy

Study Countries Sites Dates Participants Interventions
Morales-Quezada et al. (2019)13 Mexico 1 NR Children and adolescents with focal epilepsy responsive to antiepileptic pharmacotherapy and cognitive difficulties in school SMR neurofeedback, SCP neurofeedback, or sham neurofeedback over 5 weeks

NR: not reported; SCP: slow cortical potential; RCT: randomized controlled trial; SMR: sensorimotor rhythm.

Table 15. Results of a RCT of Neurofeedback in Epilepsy

Study Attention Switching Task Impact of Pediatric Epilepsy Scale
Morales-Quezada et al. (2019)13    
N 44 44
SMR neurofeedback Significant improvement from baseline to postintervention (-757 msec; p=.015) and follow-up (-644; p=.04) 1.5-point change from baseline (p=.002)
SCP neurofeedback Not significant (effect estimate, NR) 1.9-point change from baseline (p=.001)
Sham neurofeedback Not significant (effect estimate, NR) 1.3-point change from baseline (p=.006)
Difference [Neurofeedback - Control] (95% CI) NR NR

CI: confidence interval; NR: not reported; RCT: randomized controlled trial; SCP: slow cortical potential; SMR: sensorimotor rhythm.

Table 16. Study Relevance Limitations of a RCT of Neurofeedback in Epilepsy

Study Populationa Interventionb Comparatorc Outcomesd Duration of Follow-upe
Morales-Quezada et al. (2019)13 4. Included patients from a single site in Mexico        

RCT: randomized controlled trial.
The evidence limitations stated in this table are those notable in the current review; this is not a comprehensive gaps assessment.
a Population key: 1. Intended use population unclear; 2. Clinical context is unclear; 3. Study population is unclear; 4. Study population not representative of intended use.
b Intervention key: 1. Not clearly defined; 2. Version used unclear; 3. Delivery not similar intensity as comparator; 4. Not the intervention of interest.
c Comparator key: 1. Not clearly defined; 2. Not standard or optimal; 3. Delivery not similar intensity as intervention; 4. Not delivered effectively.
d Outcomes key: 1. Key health outcomes not addressed; 2. Physiologic measures, not validated surrogates; 3. No CONSORT reporting of harms; 4. Not establish and validated measurements; 5. Clinical significant difference not prespecified; 6. Clinical significant difference not supported.
e Follow-Up key: 1. Not sufficient duration for benefit; 2. Not sufficient duration for harms.

Table 17. Study Design and Conduct Limitations of a RCT of Neurofeedback

Study Allocationa Blindingb Selective Reportingc Data Completenessd Powere Statisticalf
Morales-Quezada et al. (2019)13 3.       1.  

RCT: randomized controlled trial.
The evidence limitations stated in this table are those notable in the current review; this is not a comprehensive gaps assessment.
a Allocation key: 1. Participants not randomly allocated; 2. Allocation not concealed; 3. Allocation concealment unclear; 4. Inadequate control for selection bias.
b Blinding key: 1. Not blinded to treatment assignment; 2. Not blinded outcome assessment; 3. Outcome assessed by treating physician.
c Selective Reporting key: 1. Not registered; 2. Evidence of selective reporting; 3. Evidence of selective publication.
d Data Completeness key: 1. High loss to follow-up or missing data; 2. Inadequate handling of missing data; 3. High number of crossovers; 4. Inadequate handling of crossovers; 5. Inappropriate exclusions; 6. Not intent to treat analysis (per protocol for noninferiority trials).
e Power key: 1. Power calculations not reported; 2. Power not calculated for primary outcome; 3. Power not based on clinically important difference.
f Statistical key: 1. Analysis is not appropriate for outcome type: (a) continuous; (b) binary; (c) time to event; 2. Analysis is not appropriate for multiple observations per patient; 3. Confidence intervals and/or p values not reported; 4. Comparative treatment effects not calculated.

Substance Abuse
A systematic review by Sokhadze et al. (2008) of neurofeedback as a treatment for substance abuse disorders described difficulties in assessing the efficacy of neurofeedback and other substance abuse treatments.17 Study shortcomings included a lack of clearly established outcome measures, differing effects of the various drugs, the presence of comorbid conditions, the absence of a criterion standard treatment, and use as an add-on to other behavioral treatment regimens. Reviewers concluded that alpha-theta training, when combined with an inpatient rehabilitation program for alcohol dependency or stimulant abuse, would be classified as level 3 or "probably efficacious." This level is based on beneficial effects shown in multiple observational studies, clinical studies, wait-list control studies, or within-subject or between-subject replication studies. Reviewers also noted that few large-scale studies of neurofeedback in addictive disorders have been reported and that the evidence for alpha-theta training has not been shown to be superior to sham treatment.

Pediatric Brain Tumor Survivors
De Ruiter et al. (2016) reported on a multicenter, triple-blinded RCT of neurofeedback in 80 pediatric brain tumor survivors who had cognitive impairments.18 The specific neurofeedback module was based on individual EEG, and participants, parents, trainers, and researchers handling the data were blinded to assignment to the active or sham neurofeedback module. At the end of training and 6-month follow-up, there were no significant differences between the neurofeedback and sham feedback groups on the primary outcome measures for cognitive performance, which included attention, processing speed, memory, executive functioning, visuomotor integration, and intelligence.

Post-Traumatic Stress Disorder
A meta-analysis by Steingrimsson (2020) evaluated 4 RCTs of adults with post-traumatic stress disorder (PTSD) treated with neurofeedback.14 Compared with sham neurofeedback, no treatment or other treatment, neurofeedback was associated with significant improvement in PTSD symptoms. Other primary outcomes were only reported in 1 trial each, and the authors concluded there was uncertainty regarding the ability of neurofeedback to improve PTSD symptoms, self-rated suicidality, executive cognitive functioning, and medication use. All studies were at moderate to high risk for bias, and were assessed as having some indirectness and imprecision.

Table 18. Characteristics of a Systematic Review and Meta-analysis of Neurofeedback for PTSD

Study Dates Trials Participants N (Range) Design Duration
Steingrimsson et al. (2020)14 To 2019 4 Adults with PTSD 123 (12-52) 4 RCTs of EEG-based neurofeedback for PTSD vs sham neurofeedback, other treatment, or no treatment Follow-up: 4 weeks to 30 months

 EEG: electroencephalography; PTSD: post-traumatic stress disorder; RCT: randomized controlled trial.

Table 19. Results of a Systematic Review and Meta-analysis of Neurofeedback for PTSD

Study Self-Harm PTSD Symptoms
Steingrimsson et al. (2020)14    
Total N 1 trial (n=NR) 4 trials (n=123)
Pooled Effect (95% CI) 1.4-point improvement with neurofeedback (p=.002) SMD, 2.3 (-4.37 to -0.24)
I2 (p) 89% (<.0001) NR

CI: confidence interval; NR: not reported; PTSD: post-traumatic stress disorder; SMD: standardized mean difference.

Other Disorders
Literature searches and a systematic review by Schoenberg et al. (2014) assessing biofeedback for psychiatric and neurologic disorders19 have identified small studies (case reports, case series, comparative cohorts, small RCTs) of neurofeedback for the following conditions:

  • Anxiety19
  • Asperger syndrome19
  • Autism spectrum disorder20,21
  • Cigarette cravings22
  • Cognitive impairment23
  • Depression24,25,26
  • Depression, pain, or fatigue in patients with multiple sclerosis27
  • Depression in alcohol addiction19
  • Dissociative identity disorder19
  • Fall risk28
  • Fibromyalgia29
  • Insomnia30
  • Headache31,32
  • Lower back pain33
  • Multiple sclerosis34
  • Overweight and obesity35,36
  • Obsessive-compulsive disorder37,38
  • Parkinson disease39
  • Schizophrenia40,41,19
  • Stroke42,43
  • Tinnitus44
  • Tourette syndrome45,46

Section Summary: Disorders Other Than Attention Deficit-Hyperactivity Disorder
The evidence for neurofeedback in individuals with disorders other than ADHD includes case reports, case series, comparative cohorts, small RCTs, and systematic reviews of these studies. For these disorders, the evidence is poor, and a number of questions regarding clinical efficacy remain unanswered. Larger RCTs that include either a sham or active control are needed to evaluate the effect of neurofeedback for these conditions.

Summary of Evidence
For individuals who have ADHD who receive neurofeedback, the evidence includes RCTs and meta-analyses. Relevant outcomes are symptoms, functional outcomes, and quality of life. Several meta-analyses and at least 3 additional moderately sized RCTs (n range, 144-172 patients) have compared neurofeedback with methylphenidate, biofeedback, cognitive behavioral therapy, cognitive training, physical activity, or sham neurofeedback. Collectively, these studies found either small or no benefit of neurofeedback. A meta-analysis also found no effect of neurofeedback on objective measures of attention and inhibition. Studies that used active controls have suggested that at least part of the effect of neurofeedback may be due to attention skills training, relaxation training, and/or other nonspecific effects. Also, the beneficial effects of neurofeedback are more likely to be reported by evaluators unblinded to treatment (parents) than by evaluators blinded to treatment (teachers), suggesting bias in the nonblinded evaluations. Additional research with blinded evaluation of outcomes is needed to demonstrate the effect of neurofeedback on ADHD. However, the completion dates for some registered trials of neurofeedback in ADHD have passed without publication of results, suggesting the potential for publication bias. The evidence is insufficient to determine that the technology results in an improvement in the net health outcome.

For individuals who have disorders other than ADHD (e.g., chronic insomnia, epilepsy, substance abuse, pediatric brain tumors, andPTSD) who receive neurofeedback, the evidence includes case reports, case series, comparative cohorts, small RCTs, and systematic reviews. Relevant outcomes are symptoms, functional outcomes, and quality of life. For these other disorders, including psychiatric, neurologic, and pain syndromes, the evidence is poor, and several questions concerning clinical efficacy remain unanswered. Larger RCTs that include either a sham or active control are needed to evaluate the effect of neurofeedback for these conditions. However, the completion dates for some registered trials of neurofeedback in disorders other than ADHD have passed without publication of results, suggesting the potential for publication bias. The evidence is insufficient to determine that the technology results in an improvement in the net health outcome.

The purpose of the following information is to provide reference material. Inclusion does not imply endorsement or alignment with the evidence review conclusions.

Practice Guidelines and Position Statements
Guidelines or position statements will be considered for inclusion in ‘Supplemental Information' if they were issued by, or jointly by, a U.S. professional society, an international society with U.S. representation, or National Institute for Health and Care Excellence (NICE). Priority will be given to guidelines that are informed by a systematic review, include strength of evidence ratings, and include a description of management of conflict of interest.

American Academy of Pediatrics
In 2011, the American Academy of Pediatrics (AAP) published clinical practice guidelines on the diagnosis, evaluation, and treatment of attention-deficit/hyperactivity disorder (ADHD) in children and adolescents.47 The AAP stated that although electroencephalogram (EEG) biofeedback is used clinically, it is not approved by the U.S. Food and Drug Administration (FDA) for the treatment of ADHD and requires further research. The AAP (2012) revised its position on biofeedback, designating it as a "Level 1 - Best Support" treatment for children with ADHD.48 The AAP (2014) further supported its position, stating that neurofeedback "can contribute to lasting improvements" for children with ADHD,49 citing the Steiner et al. (2014) article. The AAP (2019) published a guideline update to the 2011 guideline for the treatment of ADHD in children and adolescents.50 The guideline states that EEG biofeedback is one of several nonmedication treatments that have either too little evidence to support their recommendation or have little or no benefit.

The AAP (2018), in a clinical report on mind-body therapies in children and youth, stated that research suggests benefits of peripheral forms of biofeedback, including EEG biofeedback (neurofeedback) in ADHD.51 The report noted no significant contraindications to the use of biofeedback, with the only barriers potentially being financial in nature.

National Institute for Health and Care Excellence
In 2013, the National Institute for Health and Care Excellence issued guidance on management and support of children on the autism spectrum.52 The Institute stated that a number of treatments were considered but are not recommended, including neurofeedback.

International Society for Neurofeedback & Research
In 2011, the International Society for Neurofeedback & Research published a position paper on standards of practice for neurofeedback and neurotherapy.53 Issues discussed mostly addressed professional issues.

American Psychological Association
The American Psychological Association has provided general information on biofeedback (including neurofeedback) on its website, stating that "Biofeedback helps treat some illness, may boost performance, helps people relax and is even used to help children with Attention Deficit-Hyperactivity Disorder."54

American Academy of Child and Adolescent Psychiatry and American Psychiatric Association

No information on neurofeedback was identified from the American Academy of Child and Adolescent Psychiatry or the American Psychiatric Association.

U.S. Preventive Services Task Force Recommendations
Not applicable

Ongoing and Unpublished Clinical Trials
Some currently ongoing and unpublished trials that might influence this review are listed in Table 20. The completion date for various registered trials of neurofeedback have passed without publication of results, suggesting the potential for publication bias.

Table 20. Summary of Key Trials

NCT No. Trial Name Planned Enrollment Completion Date
Ongoing      
NCT04097522 The Effectiveness of Neurofeedback for the Treatment of Chronic Pain 102 Oct 2020
NCT04220112 Comparing Real-time fMRI Neurofeedback Versus Sham for Altering Limbic and Eating Disturbances in Anorexia Nervosa 47 Sep 2022
NCT04408521 Effect of Long-lasting EEG-Neurofeedback on Attention Control and Impulsivity in Adult Attention-Deficit/Hyperactivity Disorder (ADHD) 48 April 2023
NCT04469335 Comparative Clinical Trial With Double-blind Randomized Sham Control and Additive Treatment Toward Efficacy of Mobile Neurofeedback for ADHD Youth : An Exploratory Study. 165 Dec 2021
NCT04654130 An Effectiveness Trial Examining Neurofeedback in Adults With PTSD 65 April 2023
Unpublished      
NCT02991781 Multidisciplinary Tools for Improving the Efficacy of Public Prevention Measures Against Smoking 140 Feb 2020
NCT01841151 Does Neurofeedback and Working Memory Training Improve Core Symptoms of ADHD in Children and Adolescents? A Comparative, Randomized and Controlled Study 220 July 2020

NCT: national clinical trial.
Denotes industry-sponsored or cosponsored trial.

References:

  1. Kessler RC, Adler L, Barkley R, et al. The prevalence and correlates of adult ADHD in the United States: results from the National Comorbidity Survey Replication. Am J Psychiatry. Apr 2006; 163(4): 716-23. PMID 16585449
  2. Kooij JJS, Bijlenga D, Salerno L, et al. Updated European Consensus Statement on diagnosis and treatment of adult ADHD. Eur Psychiatry. Feb 2019; 56: 14-34. PMID 30453134
  3. Canadian Agency for Drugs and Technologies in Health. Guanfacine Hydrochloride Extended Release (Intuniv XR) Tablets: For the Treatment of Attention-Deficit/Hyperactivity Disorder. NCBI Bookshelf. Published July 2015. Accessed May 23, 2020. https://www.ncbi.nlm.nih.gov/books/NBK349436/
  4. Lambez B, Harwood-Gross A, Golumbic EZ, et al. Non-pharmacological interventions for cognitive difficulties in ADHD: A systematic review and meta-analysis. J Psychiatr Res. Jan 2020; 120: 40-55. PMID 31629998
  5. Van Doren J, Arns M, Heinrich H, et al. Sustained effects of neurofeedback in ADHD: a systematic review and meta-analysis. Eur Child Adolesc Psychiatry. Mar 2019; 28(3): 293-305. PMID 29445867
  6. Yan L, Wang S, Yuan Y, et al. Effects of neurofeedback versus methylphenidate for the treatment of ADHD: systematic review and meta-analysis of head-to-head trials. Evid Based Ment Health. Aug 2019; 22(3): 111-117. PMID 31221690
  7. Aggensteiner PM, Brandeis D, Millenet S, et al. Slow cortical potentials neurofeedback in children with ADHD: comorbidity, self-regulation and clinical outcomes 6 months after treatment in a multicenter randomized controlled trial. Eur Child Adolesc Psychiatry. Aug 2019; 28(8): 1087-1095. PMID 30610380
  8. Gevensleben H, Holl B, Albrecht B, et al. Neurofeedback training in children with ADHD: 6-month follow-up of a randomised controlled trial. Eur Child Adolesc Psychiatry. Sep 2010; 19(9): 715-24. PMID 20499120
  9. Cortese S, Ferrin M, Brandeis D, et al. Neurofeedback for Attention-Deficit/Hyperactivity Disorder: Meta-Analysis of Clinical and Neuropsychological Outcomes From Randomized Controlled Trials. J Am Acad Child Adolesc Psychiatry. Jun 2016; 55(6): 444-55. PMID 27238063
  10. Riesco-Matias P, Yela-Bernabe JR, Crego A, et al. What Do Meta-Analyses Have to Say About the Efficacy of Neurofeedback Applied to Children With ADHD? Review of Previous Meta-Analyses and a New Meta-Analysis. J Atten Disord. Feb 2021; 25(4): 473-485. PMID 30646779
  11. Lim CG, Poh XWW, Fung SSD, et al. A randomized controlled trial of a brain-computer interface based attention training program for ADHD. PLoS One. 2019; 14(5): e0216225. PMID 31112554
  12. Arnold LE, Arns M, Barterian J, et al. Double-Blind Placebo-Controlled Randomized Clinical Trial of Neurofeedback for Attention-Deficit/Hyperactivity Disorder With 13-Month Follow-up. J Am Acad Child Adolesc Psychiatry. Aug 25 2020. PMID 32853703
  13. Morales-Quezada L, Martinez D, El-Hagrassy MM, et al. Neurofeedback impacts cognition and quality of life in pediatric focal epilepsy: An exploratory randomized double-blinded sham-controlled trial. Epilepsy Behav. Dec 2019; 101(Pt A): 106570. PMID 31707107
  14. Steingrimsson S, Bilonic G, Ekelund AC, et al. Electroencephalography-based neurofeedback as treatment for post-traumatic stress disorder: A systematic review and meta-analysis. Eur Psychiatry. Jan 31 2020; 63(1): e7. PMID 32093790
  15. Shrivastava D, Jung S, Saadat M, et al. How to interpret the results of a sleep study. J Community Hosp Intern Med Perspect. 2014; 4(5): 24983. PMID 25432643
  16. Melo DLM, Carvalho LBC, Prado LBF, et al. Biofeedback Therapies for Chronic Insomnia: A Systematic Review. Appl Psychophysiol Biofeedback. Dec 2019; 44(4): 259-269. PMID 31123938
  17. Sokhadze TM, Cannon RL, Trudeau DL. EEG biofeedback as a treatment for substance use disorders: review, rating of efficacy, and recommendations for further research. Appl Psychophysiol Biofeedback. Mar 2008; 33(1): 1-28. PMID 18214670
  18. de Ruiter MA, Oosterlaan J, Schouten-van Meeteren AY, et al. Neurofeedback ineffective in paediatric brain tumour survivors: Results of a double-blind randomised placebo-controlled trial. Eur J Cancer. Sep 2016; 64: 62-73. PMID 27343714
  19. Schoenberg PL, David AS. Biofeedback for psychiatric disorders: a systematic review. Appl Psychophysiol Biofeedback. Jun 2014; 39(2): 109-35. PMID 24806535
  20. Jarusiewicz B. Efficacy of neurofeedback for children in the autism spectrum: a pilot study. J Neurother. Sep 8 2002;6(4):39-49. PMID
  21. Sokhadze EM, El-Baz AS, Tasman A, et al. Neuromodulation integrating rTMS and neurofeedback for the treatment of autism spectrum disorder: an exploratory study. Appl Psychophysiol Biofeedback. Dec 2014; 39(3-4): 237-57. PMID 25267414
  22. Kim DY, Yoo SS, Tegethoff M, et al. The inclusion of functional connectivity information into fMRI-based neurofeedback improves its efficacy in the reduction of cigarette cravings. J Cogn Neurosci. Aug 2015; 27(8): 1552-72. PMID 25761006
  23. Lavy Y, Dwolatzky T, Kaplan Z, et al. Neurofeedback Improves Memory and Peak Alpha Frequency in Individuals with Mild Cognitive Impairment. Appl Psychophysiol Biofeedback. Mar 2019; 44(1): 41-49. PMID 30284663
  24. Lee YJ, Lee GW, Seo WS, et al. Neurofeedback Treatment on Depressive Symptoms and Functional Recovery in Treatment-Resistant Patients with Major Depressive Disorder: an Open-Label Pilot Study. J Korean Med Sci. Nov 04 2019; 34(42): e287. PMID 31674161
  25. Linden DE, Habes I, Johnston SJ, et al. Real-time self-regulation of emotion networks in patients with depression. PLoS One. 2012; 7(6): e38115. PMID 22675513
  26. Mehler DMA, Sokunbi MO, Habes I, et al. Targeting the affective brain-a randomized controlled trial of real-time fMRI neurofeedback in patients with depression. Neuropsychopharmacology. Dec 2018; 43(13): 2578-2585. PMID 29967368
  27. Amatya B, Young J, Khan F. Non-pharmacological interventions for chronic pain in multiple sclerosis. Cochrane Database Syst Rev. Dec 19 2018; 12: CD012622. PMID 30567012
  28. Shahrbanian S, Hashemi A, Hemayattalab R. The comparison of the effects of physical activity and neurofeedback training on postural stability and risk of fall in elderly women: A single-blind randomized controlled trial. Physiother Theory Pract. Feb 2021; 37(2): 271-278. PMID 31218913
  29. Kayiran S, Dursun E, Dursun N, et al. Neurofeedback intervention in fibromyalgia syndrome; a randomized, controlled, rater blind clinical trial. Appl Psychophysiol Biofeedback. Dec 2010; 35(4): 293-302. PMID 20614235
  30. Cortoos A, De Valck E, Arns M, et al. An exploratory study on the effects of tele-neurofeedback and tele-biofeedback on objective and subjective sleep in patients with primary insomnia. Appl Psychophysiol Biofeedback. Jun 2010; 35(2): 125-34. PMID 19826944
  31. Walker JE. QEEG-guided neurofeedback for recurrent migraine headaches. Clin EEG Neurosci. Jan 2011; 42(1): 59-61. PMID 21309444
  32. Moshkani Farahani D, Tavallaie SA, Ahmadi K, et al. Comparison of neurofeedback and transcutaneous electrical nerve stimulation efficacy on treatment of primary headaches: a randomized controlled clinical trial. Iran Red Crescent Med J. Aug 2014; 16(8): e17799. PMID 25389484
  33. Mayaud L, Wu H, Barthelemy Q, et al. Alpha-phase synchrony EEG training for multi-resistant chronic low back pain patients: an open-label pilot study. Eur Spine J. Nov 2019; 28(11): 2487-2501. PMID 31254096
  34. Kober SE, Pinter D, Enzinger C, et al. Self-regulation of brain activity and its effect on cognitive function in patients with multiple sclerosis - First insights from an interventional study using neurofeedback. Clin Neurophysiol. Nov 2019; 130(11): 2124-2131. PMID 31546180
  35. Kohl SH, Veit R, Spetter MS, et al. Real-time fMRI neurofeedback training to improve eating behavior by self-regulation of the dorsolateral prefrontal cortex: A randomized controlled trial in overweight and obese subjects. Neuroimage. May 01 2019; 191: 596-609. PMID 30798010
  36. Chirita-Emandi A, Puiu M. Outcomes of neurofeedback training in childhood obesity management: a pilot study. J Altern Complement Med. Nov 2014; 20(11): 831-7. PMID 25188371
  37. Koprivova J, Congedo M, Raszka M, et al. Prediction of treatment response and the effect of independent component neurofeedback in obsessive-compulsive disorder: a randomized, sham-controlled, double-blind study. Neuropsychobiology. 2013; 67(4): 210-23. PMID 23635906
  38. Deng X, Wang G, Zhou L, et al. Randomized controlled trial of adjunctive EEG-biofeedback treatment of obsessive-compulsive disorder. Shanghai Arch Psychiatry. Oct 2014; 26(5): 272-9. PMID 25477720
  39. Subramanian L, Hindle JV, Johnston S, et al. Real-time functional magnetic resonance imaging neurofeedback for treatment of Parkinson's disease. J Neurosci. Nov 09 2011; 31(45): 16309-17. PMID 22072682
  40. Pazooki K, Leibetseder M, Renner W, et al. Neurofeedback Treatment of Negative Symptoms in Schizophrenia: Two Case Reports. Appl Psychophysiol Biofeedback. Mar 2019; 44(1): 31-39. PMID 30267339
  41. Bauer CCC, Okano K, Ghosh SS, et al. Real-time fMRI neurofeedback reduces auditory hallucinations and modulates resting state connectivity of involved brain regions: Part 2: Default mode network -preliminary evidence. Psychiatry Res. Feb 2020; 284: 112770. PMID 32004893
  42. Nan W, Dias APB, Rosa AC. Neurofeedback Training for Cognitive and Motor Function Rehabilitation in Chronic Stroke: Two Case Reports. Front Neurol. 2019; 10: 800. PMID 31396152
  43. Cho HY, Kim K, Lee B, et al. The effect of neurofeedback on a brain wave and visual perception in stroke: a randomized control trial. J Phys Ther Sci. Mar 2015; 27(3): 673-6. PMID 25931705
  44. Guntensperger D, Thuring C, Kleinjung T, et al. Investigating the Efficacy of an Individualized Alpha/Delta Neurofeedback Protocol in the Treatment of Chronic Tinnitus. Neural Plast. 2019; 2019: 3540898. PMID 31049052
  45. Sukhodolsky DG, Walsh C, Koller WN, et al. Randomized, Sham-Controlled Trial of Real-Time Functional Magnetic Resonance Imaging Neurofeedback for Tics in Adolescents With Tourette Syndrome. Biol Psychiatry. Jun 15 2020; 87(12): 1063-1070. PMID 31668476
  46. Zhuo C, Li L. The application and efficacy of combined neurofeedback therapy and imagery training in adolescents with Tourette syndrome. J Child Neurol. Jul 2014; 29(7): 965-8. PMID 23481449
  47. Wolraich M, Brown L, Brown RT, et al. ADHD: clinical practice guideline for the diagnosis, evaluation, and treatment of attention-deficit/hyperactivity disorder in children and adolescents. Pediatrics. Nov 2011; 128(5): 1007-22. PMID 22003063
  48. American Academy of Pediatrics. Evidence-Based Child and Adolescent Psychosocial Interventions. n.d.; http://www.esc1.net/cms/lib/TX21000366/Centricity/Domain/100/Evidenced-Based%20Interventions.pdf. Accessed May 11, 2020.
  49. Healthychildren.org. Computer Feedback Can Help Students with ADHD Train Their Brains. 2014; https://www.healthychildren.org/English/news/Pages/Computer-Feedback-Can-Help-Students-with-ADHD-Train-Their-Brains-.aspx. Accessed May 11, 2020.
  50. Wolraich ML, Hagan JF, Allan C, et al. Clinical Practice Guideline for the Diagnosis, Evaluation, and Treatment of Attention-Deficit/Hyperactivity Disorder in Children and Adolescents. Pediatrics. Oct 2019; 144(4). PMID 31570648
  51. McClafferty H, Sibinga E, Bailey M, et al. Mind-Body Therapies in Children and Youth. Pediatrics. Sep 2016; 138(3). PMID 27550982
  52. National Institute for Health and Care Excellence. Efficacy of neurofeedback for children in the autism spectrum: a pilot study: management and support [CG170]. 2013; https://www.nice.org.uk/guidance/cg170. Accessed May 11, 2020.
  53. Hammond DC, Bodenhamer-Davis G, Gerald Gluck G, et al. Standards of practice for neurofeedback and neurotherapy: a position paper of the International Society for Neurofeedback & Research. J Neurother. 26 Feb 2011;15(1):54-64. PMID
  54. American Psychological Association. Getting in touch with your inner brainwaves through biofeedback. 2003; http://www.apa.org/research/action/biofeedback.aspx. Accessed May 11, 2020.
  55. Centers for Medicare and Medicaid Services. National Coverage Determination (NCD) for Biofeedback Therapy (30.1). Centers for Medicare and Medicaid Services. Accessed May 11, 2020. https://www.cms.gov/medicare-coverage-database/details/ncd-details.aspx?NCDId=41&ncdver=1&bc=AAAAQAAAAAAA&

Coding Section

Codes Number Description
CPT 90875-90876

Individual psychophysiological therapy incorporating biofeedback training by any modality (face-to-face with the patient), with psychotherapy; code range

  90901 Biofeedback training by any modality
ICD-9 Procedure 94.39 Other individual psychotherapy (includes biofeedback)
ICD-9 Diagnosis   Investigational for all diagnoses
HCPCS    
ICD-10-CS (effective 10/01/15)   Investigational for all diagnosis
ICD-10-PCS (effective 10/01/15)   ICD-10-PCS codes arely used for inpatient services
  GZC9ZZZ Mental health biofeedback, other biofeedback
Type of Service Medicine; Psychiatry  
Place of Service Outpatient  

Procedure and diagnosis codes on Medical Policy documents are included only as a general reference tool for each policy. They may not be all-inclusive.

 This medical policy was developed through consideration of peer-reviewed medical literature generally recognized by the relevant medical community, U.S. FDA approval status, nationally accepted standards of medical practice and accepted standards of medical practice in this community, Blue Cross Blue Shield Association technology assessment program (TEC) and other non-affiliated technology evaluation centers, reference to federal regulations, other plan medical policies and accredited national guidelines.

"Current Procedural Terminology © American Medical Association. All Rights Reserved" 

History From 2014 Forward     

02/01/2022 

Annual review, no change to policy intent. Updating rationale and references. 

02/01/2021 

Annual review, no change to policy intent. Updating rationale and references. 

02/03/2020 

Annual review, no change to policy intent. Updating rationale, references and description. 

02/21/2019 

Annual review, no change to policy intent. Updating background, rationale and references. 

01/31/2018 

Annual review, no change to policy intent. 

02/07/2017 

Annual review, no change to policy intent. Updating background, description, rationale and references. 

02/02/2016 

Annual review, no change to policy intent. Updating background, description, rationale and references. Adding regulatory status. 

02/25/2015 

Annual review, no change to policy intent. Updated rationale and references. Added coding.

02/21/2014

Annual review, added related policies, benefit application. Updated background, description, rationale and references. No change to policy intent.

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