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Horizon BCBSNJ
Uniform Medical Policy ManualSection:Treatment
Policy Number:121
Effective Date: 08/03/2010
Original Policy Date:04/27/2010
Last Review Date:07/14/2020
Date Published to Web: 07/02/2010
Subject:
Neurofeedback

Description:
_______________________________________________________________________________________

IMPORTANT NOTE:

The purpose of this policy is to provide general information applicable to the administration of health benefits that Horizon Blue Cross Blue Shield of New Jersey and Horizon Healthcare of New Jersey, Inc. (collectively “Horizon BCBSNJ”) insures or administers. If the member’s contract benefits differ from the medical policy, the contract prevails. Although a service, supply or procedure may be medically necessary, it may be subject to limitations and/or exclusions under a member’s benefit plan. If a service, supply or procedure is not covered and the member proceeds to obtain the service, supply or procedure, the member may be responsible for the cost. Decisions regarding treatment and treatment plans are the responsibility of the physician. This policy is not intended to direct the course of clinical care a physician provides to a member, and it does not replace a physician’s independent professional clinical judgment or duty to exercise special knowledge and skill in the treatment of Horizon BCBSNJ members. Horizon BCBSNJ is not responsible for, does not provide, and does not hold itself out as a provider of medical care. The physician remains responsible for the quality and type of health care services provided to a Horizon BCBSNJ member.

Horizon BCBSNJ medical policies do not constitute medical advice, authorization, certification, approval, explanation of benefits, offer of coverage, contract or guarantee of payment.

__________________________________________________________________________________________________________________________

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.

PopulationsInterventionsComparatorsOutcomes
Individuals:
  • With attention-deficit/hyperactivity disorder
Interventions of interest are:
  • Neurofeedback
Comparators of interest are:
  • Behavioral therapy
  • Pharmacologic therapy
Relevant outcomes include:
  • Symptoms
  • Functional outcomes
  • Quality of life
Individuals:
  • With disorders other than attention-deficit/hyperactivity disorder
Interventions of interest are:
  • Neurofeedback
Comparators of interest are:
  • Behavioral therapy
  • Pharmacologic therapy
Relevant outcomes include:
  • Symptoms
  • Functional outcomes
  • Quality of life

Background

Disorders of the Central Nervous System

Various 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 (eg, 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 by the U.S. Food and Drug Administration (FDA) 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 FDA regulation, the process of neurofeedback itself is a procedure, and, therefore, not subject to FDA approval. FDA product codes: HCC, GWQ.

Related Policies

  • Biofeedback (Policy #060 in the Treatment Section)
  • Quantitative Electroencephalography as a Diagnostic Aid for Attention-Deficit/Hyperactivity Disorder (Policy #077 in the Medicine Section)

Policy:
(NOTE: For Medicare Advantage, Medicaid and FIDE-SNP, please refer to the Coverage Sections below for coverage guidance.)

Neurofeedback is considered investigational.


Medicare Coverage:
Per National Coverage Determination (NCD) for Biofeedback Therapy (30.1), Biofeedback therapy is covered under Medicare only when it is reasonable and necessary for the individual patient for muscle re-education of specific muscle groups or for treating pathological muscle abnormalities of spasticity, incapacitating muscle spasm, or weakness, and more conventional treatments (heat, cold, massage, exercise, support) have not been successful. There is no National Coverage Determination (NCD) for neurofeedback. Novitas Solutions, Inc, the Local Medicare Carrier for jurisdiction JL, has not issued a determination for neurofeedback. Therefore, Medicare Advantage Products will follow the Horizon BCBSNJ Medical Policy for neurofeedback.

Medicaid Coverage:
For members enrolled in Medicaid and NJ FamilyCare plans, Horizon BCBSNJ applies the above medical policy.

FIDE-SNP Coverage:

For members enrolled in a Fully Integrated Dual Eligible Special Needs Plan (FIDE-SNP): (1) to the extent the service is covered under the Medicare portion of the member’s benefit package, the above Medicare Coverage statement applies; and (2) to the extent the service is not covered under the Medicare portion of the member’s benefit package, the above Medicaid Coverage statement applies.


[RATIONALE: This policy was created in 2010 and has been updated regularly with searches of the PubMed database. The most recent literature update was performed through May 11, 2020.

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 one 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. RCTs 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.

This review was informed by a TEC Assessment (1997).1, Literature published since that 1997 TEC Assessment consists of studies that have evaluated neurofeedback for a variety of clinical indications, with the greatest amount of scientific literature published on the treatment of attention-deficit/hyperactivity disorder (ADHD).

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 ADHD.

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

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

Patients

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.2, 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.

Patients with ADHD are actively managed by psychologists, psychiatrists, and primary care providers in an outpatient clinical setting.

Comparators

Guidelines for treatment of ADHD in children and adolescents generally recommend parent training in behavior management, FDA-approved medications (eg, stimulants), and educational interventions. Attention deficit hyperactivity disorder also occurs in adults, with a prevalence of approximately 3.4 to 4.4% of US adults. Guidelines for treatment of ADHD in adults include recommendations for psychoeducation, pharmacotherapy, and cognitive behavioral therapy.3,

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 attention-deficit/ hyperactivity disorder

OutcomesDetails
SymptomsOutcomes as reported by assessors (parents most-often, or teachers, usually unblinded and with 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]

Table 2. Health Outcome Measures Relevant to ADHD in Children and Adolescents
OutcomeMeasure (units)DescriptionClinically 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 parentChange between 5.2 and 7.7 points or 30% mean total score change between treatment groups4,
Conners Parent Rating Scale for ADHDScale from 0 to 144

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

Assesses conduct problems, learning problems, psychometric problems, impulsivity and hyperactivity, and anxiety
Not defined4,
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 problemsNot defined
Fremdbeurteilungsbogen für Hyperkinetische Störungen (FBB-HKS)Scale with 20 items

Higher scores indicate more symptoms
Items can be rated by parents or teacherNot defined

ADHD: attention-deficit/hyperactivity disorder.

Follow-up duration

In studies of neurofeedback, duration of intervention was at least 1 month and ranged from 1 to 12 months.5,6,7, Follow-up studies of RCTs that reported longer-term outcomes have reported results at 6 months.8,9,

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

Table 3. Trials Included in Systematic Reviews of Neurofeedback versus Other Treatments for ADHD
TrialsSystematic Reviews
Cortese et al (2016)10,Van Doren (2019)6,Yan et al (2019)7,Lambez et al (2020)5,
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)
VanDongen et al (2013)
Chang et al (2014)
Christiansen et al (2014)
Du et al (2014)
Maurizio 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)
Tang et al (2017)
Sudnawa et al (2018)
ADHD: attention-deficit/hyperactivity disorder.

Table 4. Characteristics of Systematic Reviews and Meta-analyses of Neurofeedback for ADHD
StudyDatesTrialsParticipantsN (Range)DesignDuration
Cortese et al (2016)10,To August 30, 201513Children and adolescents with ADHD (any subtype) or hyperkinetic disorder520 (14-94)13 RCTs of neurofeedback vs other careFollow-up: 2 to 12 months
Van Doren et al (2019)6,To November 29, 201710Children and adolescents with primary diagnosis of ADHD256 (11-41)10 RCTs of neurofeedback vs other careFollow-up: 2 to 12 months
Yan et al (2019)7,To August 22, 201818Children, adolescents, and adults with ADHD1535 (13-90)18 RCTs of neurofeedback vs methylphenidateFollow-up: 1 to 6 months
Lambez et al (2020)5,To December 201718Children, adolescents, and adults with ADHD618 (20-76)18 RCTs of neurofeedback vs biofeedback, cognitive behavioral therapy, cognitive training, or physical activityFollow-up: 25 days to 8 months

ADHD: attention-deficit/hyperactivity disorder.

Table 5. Results of Systematic Reviews and Meta-analyses of Neurofeedback for ADHD
StudyADHD Total SymptomsADHD Inattention SymptomsADHD Hyperactivity/Impulsiveness SymptomsInhibition
Cortese et al (2016)10,
Total N13 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% (0.06)43% (0.07)0% (0.8)NR
Van Doren et al (2019)6,
Total NNR11 trials (n=NR)11 trials (n=NR)NR
Pooled Effect (95% CI)NRSMD, 0.31 (-0.01 to 0.63)0.32 (0.15 to 0.49)NR
I2 (p)NR70% (0.06)0% (0.0003)NR
Yan et al (2019)7,
Total N4 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% (0.062)70% (0.019)38% (0.156)NR
Lambez et al (2020)5,
Total NNRNRNR6 trials (n=203)
Pooled Effect (95% CI)NRNRNRSMD, 0.61 (-3.77 to 4.82)
I2 (p)NRNRNR0% (<0.05)

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.11,8,

Table 7. Characteristics of RCTs of Neurofeedback in ADHD
StudyCountriesSitesDatesParticipantsInterventions
Lim et al (2019)11,Singapore1January 20123 to June 2016Children age 6 to 12 years diagnosed with ADHDBCI-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)8,GermanyNR (multicenter)September 2009 to January 2013Children age 7 to 9 years diagnosed with ADHDSCP-based neurofeedback vs EMG-based biofeedback

ADHD: attention-deficit/hyperactivity disorder; BCI:brain-computer interface; NR: not reported; SCP: slow cortical potential.

Table 8. Results of RCTs of Neurofeedback in ADHD
StudyADHD-RSFBB-HKS
Lim et al (2019)11,
N172
BCI-based neurofeedback8 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 control8 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)8,
N144144
SCP-based neurofeedback1.281.33
EMG-based biofeedback1.301.38
Difference [Neurofeedback - Control] (95% CI)NR-0.04 (-0.27 to 0.14)

ADHD-RS: attention deficit-hyperactivity disorder-rating scale; CI: confidence interval; FBB-HKS: Fremdbeurteilungsbogen für Hyperkinetische Störungen; NR: nor reported

Table 9. Study Relevance Limitations of RCTs of Neurofeedback in ADHD
StudyPopulationaInterventionbComparatorcOutcomesdDuration of Follow-upe
Lim et al (2019)11,4. Included patients from a single site in Singapore1. Follow-up occurred only 4 weeks after intervention
Aggensteiner et al (2019)8,4. Included patients from Germany
ADHD: attention-deficit/hyperactivity disorder.
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 10. Study Design and Conduct Limitations of RCTs of Neurofeedback in ADHD
StudyAllocationaBlindingbSelective ReportingcData CompletenessdPowereStatisticalf
Lim et al (2019)11,3.1.Patients, parents, and investigators were unblinded; outcome assessors and teachers were blinded
Aggensteiner et al (2019)8,3.1. Patients were unblinded; blinding of parents and teachers not reported1.
ADHD: attention-deficit/hyperactivity disorder.
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 at least 6 moderately sized RCTs (n range, 90-113 patients) have compared neurofeedback with methylphenidate, attention skills training, and/or cognitive therapy. These studies found either small to moderate or no benefit of neurofeedback, and sustained long-term benefit (eg, at 6 to 12 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. One RCT investigated neurofeedback in the right inferior prefrontal cortex. Another RCT assessed the utility of neurofeedback used to target the dorsal anterior cingulate cortex. All 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 an 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 policy 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 policy.

Patients

The relevant population of interest is individuals with disorders other than ADHD.

Interventions

The therapy being considered is neurofeedback.

Comparators

Comparators of interest include behavioral therapy and pharmacologic therapy. 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 11. Outcomes of Interest for Individuals with Disorders Other than ADHD
OutcomesDetails
Reduction of Symptoms as Observed by Parents and PatientsAttention Switching Task; Impact of Pediatric Epilepsy Scale; PTSD symptoms
[Timing: 6 weeks]

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

Table 12. Health Outcome Measures Relevant to Disorders other than ADHD
OutcomeMeasure (units)DescriptionClinically Meaningful Difference (If Known)
Attention Switching Taskmsec

Longer duration indicates more symptoms
Computerized task measuring ability to adjust behavior in accordance with changing task goalsNot defined12,
Impact of Pediatric Epilepsy ScaleScale from 0 to 33

Higher scores indicate more symptoms
Questionnaire administered to parent or guardian measuring domains of academic improvement, social adaptation, and self-esteemNot defined12,
PTSD symptomsVarious questionnaires

Higher scores indicate more symptoms
Various questionnaires administered to patients measuring frequency and intensity of PTSD symptomsNot defined13,
Sleep efficiencyPercentage

Lower values indicate more symptoms
Measure of percentage of total time in bed spent asleepNot defined14,
Sleep fragmentationOccurrences

Higher values indicate more symptoms
Measure of number of awakening episodes by polysomnography or patient diaryNot defined14,
Total sleep timeMinutes

Lower values indicate more symptoms
Measure of time spent asleep among total recording timeNot defined14,


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) reviewed 7 RCTs of biofeedback techniques, including neurofeedback, in the treatment of chronic insomnia.15, 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 were at high risk of bias related to blinding of participants and personnel and incomplete outcome data.

Systematic Reviews with Meta-Analysis
Table 13. Characteristics of Systematic Reviews and Meta-analyses of Neurofeedback for Chronic Insomnia
StudyDatesTrialsParticipantsN (Range)DesignDuration
Melo et al (2019)15,To 20197Adults with chronic insomnia224 (18-48)7 RCTs of biofeedback techniques10 days to 36 months

RCT: randomized controlled trial

Table 14. Results of Systematic Reviews and Meta-analyses of Neurofeedback for Chronic Insomnia
StudyTotal Sleep TimeSleep FragmentationSleep Efficiency
Melo et al (2019)15,
Total N2 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)NRNRNR

CI: confidence interval; NR: not reported; SMD: standardized mean difference
Epilepsy

An RCT by Morales-Quezada (2019) randomized children with focal epilepsy to sensorimotor rhythm neurofeedback, SCP neurofeedback, or sham neurofeedback for 25 sessions over 5 weeks.12, 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 15. Characteristics of Recent RCTs of Neurofeedback in Epilepsy
StudyCountriesSitesDatesParticipantsInterventions
Morales-Quezada et al (2019)12,Mexico1NRChildren and adolescents with focal epilepsy responsive to antiepileptic pharmacotherapy and cognitive difficulties in schoolSensorimotor rhythm neurofeedback, SCP neurofeedback, or sham neurofeedback over 5 weeks

NR: not reported; SCP: slow cortical potential; SMR: sensorimotor rhythm

Table 16. Results of RCTs of Neurofeedback in Epilepsy
StudyAttention Switching TaskImpact of Pediatric Epilepsy Scale
Morales-Quezada et al (2019)12,
N4444
SMR neurofeedbackSignificant improvement from baseline to postintervention (-757 msec; p=0.015) and follow-up (-644; p=0.04)1.5-point change from baseline (p=0.002)
SCP neurofeedbackNot significant (effect estimate, NR)1.9-point change from baseline (p=0.001)
Sham neurofeedbackNot significant (effect estimate, NR)1.3-point change from baseline (p=0.006)
Difference [Neurofeedback - Control] (95% CI)NRNR

NR: not reported; SCP: slow cortical potential; SMR: sensorimotor rhythm

Table 17. Study Relevance Limitations of RCTs of Neurofeedback
StudyPopulationaInterventionbComparatorcOutcomesdDuration of Follow-upe
Morales-Quezada et al (2019)12,4. Included patients from a single site in Mexico

The evidence limitations stated in this table are those notable in the current review; this is not a comprehensive gaps assessment.

    aPopulation 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 18. Study Design and Conduct Limitations of RCTs of Neurofeedback
StudyAllocationaBlindingbSelective ReportingcData CompletenessdPowereStatisticalf
Morales-Quezada et al (2019)12,3.1.
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 this and other substance abuse treatments.16, 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.17, 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.13, 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 one 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 19. Characteristics of Systematic Reviews and Meta-analyses of Neurofeedback for ADHD
StudyDatesTrialsParticipantsN (Range)DesignDuration
Steingrimsson et al (2020)13,To 20194Adults with PTSD123 (12-52)4 RCTs of EEG-based neurofeedback for PTSD vs sham neurofeedback, other treatment, or no treatmentFollow-up: 4 weeks to 30 months

ADHD: attention-deficit/hyperactivity disorder; EEG: electroencephalography; PTSD: post-traumatic stress disorder
Table 20. Results of Systematic Reviews and Meta-analyses of Neurofeedback for ADHD
StudySelf-HarmPTSD Symptoms
Steingrimsson et al (2020)13,
Total N1 Trial (n=NR)4 Trials (n=123)
Pooled Effect (95% CI)1.4-point improvement with neurofeedback (p=0.002)SMD, 2.3 (-4.37 to -0.24)
I2 (p)89% (<0.0001)NR

ADHD: attention-deficit/hyperactivity disorder; 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 disorders18, have identified small studies (case reports, case series, comparative cohorts, small RCTs) of neurofeedback for the following conditions:

    • Anxiety18,
    • Asperger syndrome18,
    • Autism spectrum disorder19,20,
    • Cigarette cravings21,
    • Cognitive impairment22,
    • Depression23,24,25,
    • Depression, pain, or fatigue in patients with multiple sclerosis26,
    • Depression in alcohol addiction18,
    • Dissociative identity disorder18,
    • Fall risk27,
    • Fibromyalgia28,
    • Insomnia29,
    • Headache30,31,
    • Lower back pain32,
    • Multiple sclerosis33,
    • Overweight and obesity34,35,
    • Obsessive-compulsive disorder36,37,
    • Parkinson disease38,
    • Posttraumatic stress disorder39,18,40,
    • Schizophrenia41,42,18,
    • Stroke43,44,
    • Tinnitus45,
    • Tourette syndrome46,47,
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 attention-deficit/hyperactivity disorder who receive neurofeedback, the evidence includes randomized controlled trials (RCTs) and a meta-analysis. Relevant outcomes are symptoms, functional outcomes, and quality of life. At least 6 moderately sized RCTs (n range, 90- 172 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 completion dates for some registered trials of neurofeedback in attention-deficit/hyperactivity disorder have passed without publication of results, suggesting the potential for publication bias. 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 (eg, epilepsy, substance abuse, pediatric brain tumors) who receive neurofeedback, the evidence includes case reports, case series, comparative cohorts, and small RCTs. 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 completion dates for some registered trials of neurofeedback in disorders other than attention-deficit/hyperactivity disorder have passed without publication of results, suggesting the potential for publication bias. The evidence is insufficient to determine the effects of the technology on health outcomes.

SUPPLEMENTAL INFORMATION
Practice Guidelines and Position Statements
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.36The AAP stated that although electroencephalogram 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)5 article.The AAP (2019) published a guideline update to the 2011 guideline for 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 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 e 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 policy are listed in Table 21. The completion date for various registered trials of neurofeedback have passed without publication of results, suggesting the potential for publication bias.

Table 21. Summary of Key Trials
NCT No.Trial NamePlanned EnrollmentCompletion Date
Ongoing
NCT04097522The Effectiveness of Neurofeedback for the Treatment of Chronic Pain102Oct 2020
NCT04220112Comparing Real-time fMRI Neurofeedback Versus Sham for Altering Limbic and Eating Disturbances in Anorexia Nervosa47Sep 2022
NCT02251743Double-Blind 2-Site Randomized Clinical Trial of Neurofeedback for ADHD142Apr 2020
Unpublished
NCT02146495Pain and Sleep Quality Measures Before and After a Course of EEG Neurofeedback in Fibromyalgia Patients200Oct 2016
(unknown)
NCT02397161Improving Mental Attention, Timing of Muscle Activation and Reactive Balance Control in Children With Developmental Coordination Disorder: A Randomized Controlled Trial172Jul 2017 (unknown)
NCT02778360aEffectiveness of a Personalized Neurofeedback Training Device (ADHD@Home) as Compared With Methylphenidate in the Treatment of Children and Adolescents With Attention-Deficit/ Hyperactivity Disorder: A Multicentre Randomized Clinical Study179Sep 2017 (unknown)
NCT02991781Multidisciplinary Tools for Improving the Efficacy of Public Prevention Measures Against Smoking140Jun 2019
NCT01841151Does Neurofeedback and Working Memory Training Improve Core Symptoms of ADHD in Children and Adolescents? A Comparative, Randomized and Controlled Study220Dec 2018
NCT01879644Neurofeedback Study ADHD120Dec 2018

NCT: national clinical trial.
a
Denotes industry-sponsored or cosponsored trial.nsored trial.]
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Horizon BCBSNJ Medical Policy Development Process:

This Horizon BCBSNJ Medical Policy (the “Medical Policy”) has been developed by Horizon BCBSNJ’s Medical Policy Committee (the “Committee”) consistent with generally accepted standards of medical practice, and reflects Horizon BCBSNJ’s view of the subject health care services, supplies or procedures, and in what circumstances they are deemed to be medically necessary or experimental/ investigational in nature. This Medical Policy also considers whether and to what degree the subject health care services, supplies or procedures are clinically appropriate, in terms of type, frequency, extent, site and duration and if they are considered effective for the illnesses, injuries or diseases discussed. Where relevant, this Medical Policy considers whether the subject health care services, supplies or procedures are being requested primarily for the convenience of the covered person or the health care provider. It may also consider whether the services, supplies or procedures are more costly than an alternative service or sequence of services, supplies or procedures that are at least as likely to produce equivalent therapeutic or diagnostic results as to the diagnosis or treatment of the relevant illness, injury or disease. In reaching its conclusion regarding what it considers to be the generally accepted standards of medical practice, the Committee reviews and considers the following: all credible scientific evidence published in peer-reviewed medical literature generally recognized by the relevant medical community, physician and health care provider specialty society recommendations, the views of physicians and health care providers practicing in relevant clinical areas (including, but not limited to, the prevailing opinion within the appropriate specialty) and any other relevant factor as determined by applicable State and Federal laws and regulations.

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Index:
Neurofeedback
Biofeedback, EEG
EEG Biofeedback

References:
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2. 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

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13. 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

14. 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

15. 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

16. 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

17. 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

18. Schoenberg PL, David AS. Biofeedback for psychiatric disorders: a systematic review. Appl Psychophysiol Biofeedback. Jun 2014; 39(2): 109-35. PMID 24806535

19. Jarusiewicz B. Efficacy of neurofeedback for children in the autism spectrum: a pilot study. J Neurother. Sep 8 2002;6(4):39-49. PMID

20. 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

21. 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

22. 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

23. 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

24. 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

25. 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

26. 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

27. 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. Jun 20 2019: 1-8. PMID 31218913

28. 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

29. 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

30. Walker JE. QEEG-guided neurofeedback for recurrent migraine headaches. Clin EEG Neurosci. Jan 2011; 42(1): 59-61. PMID 21309444

31. 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

32. 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

33. 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

34. 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

35. 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

36. 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

37. 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

38. 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

39. Elbogen EB, Alsobrooks A, Battles S, et al. Mobile Neurofeedback for Pain Management in Veterans with TBI and PTSD. Pain Med. Nov 07 2019. PMID 31697371

40. van der Kolk BA, Hodgdon H, Gapen M, et al. A Randomized Controlled Study of Neurofeedback for Chronic PTSD. PLoS ONE. 2016; 11(12): e0166752. PMID 27992435

41. 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

42. Bauer CCC, Okano K, Gosh 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

43. 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

44. 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

45. 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

46. 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

47. 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

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&


Codes:
(The list of codes is not intended to be all-inclusive and is included below for informational purposes only. Inclusion or exclusion of a procedure, diagnosis, drug or device code(s) does not constitute or imply authorization, certification, approval, offer of coverage or guarantee of payment.)

CPT*
    90901
HCPCS

* CPT only copyright 2020 American Medical Association. All rights reserved. CPT is a registered trademark of the American Medical Association.
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Medical policies can be highly technical and are designed for use by the Horizon BCBSNJ professional staff in making coverage determinations. Members referring to this policy should discuss it with their treating physician, and should refer to their specific benefit plan for the terms, conditions, limitations and exclusions of their coverage.

The Horizon BCBSNJ Medical Policy Manual is proprietary. It is to be used only as authorized by Horizon BCBSNJ and its affiliates. The contents of this Medical Policy are not to be copied, reproduced or circulated to other parties without the express written consent of Horizon BCBSNJ. The contents of this Medical Policy may be updated or changed without notice, unless otherwise required by law and/or regulation. However, benefit determinations are made in the context of medical policies existing at the time of the decision and are not subject to later revision as the result of a change in medical policy

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