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. 2025 Feb 19;65(4):668–694. doi: 10.1111/head.14914

Behavioral interventions for migraine prevention: A systematic review and meta‐analysis

Jonathan R Treadwell 1,, Amy Y Tsou 1, Benjamin Rouse 1, Ilya Ivlev 1,2, Julie Fricke 3, Dawn C Buse 4, Scott W Powers 5,6,7, Mia Minen 8,9, Christina L Szperka 10, Nikhil K Mull 3,11
PMCID: PMC11951403  PMID: 39968795

Abstract

Objectives/Background

This study was undertaken to synthesize evidence on the benefits and harms of behavioral interventions for migraine prevention in children and adults. The efficacy and safety of behavioral interventions for migraine prevention have not been tested in recent systematic reviews.

Methods

An expert panel including clinical psychologists, neurologists, primary care physicians, researchers, funders, individuals with migraine, and their caregivers informed the scope and methods. We searched MEDLINE, Embase, PsycINFO, PubMed, the Cochrane Database of Systematic Reviews, clinicaltrials.gov, and gray literature for English‐language randomized trials (January 1, 1975 to August 24, 2023) of behavioral interventions for preventing migraine attacks. Primary outcomes were migraine/headache frequency, migraine disability, and migraine‐related quality of life. One reviewer extracted data and rated the risk of bias, and a second verified data for completeness and accuracy. Data were synthesized with meta‐analysis when deemed appropriate, and we rated the strength of evidence (SOE) using established methods.

Results

For adults, we included 50 trials (77 publications, N = 6024 adults). Most interventions were multicomponent (e.g., cognitive behavioral therapy [CBT], biofeedback, relaxation training, mindfulness‐based therapies, and/or education). Most trials were at high risk of bias, primarily due to possible measurement bias and incomplete data. For adults, we found that any of three components (CBT, relaxation training, mindfulness‐based therapies) may reduce migraine/headache attack frequency (SOE: low). Education alone that targets behavior may improve migraine‐related disability (SOE: low). For three other interventions (biofeedback, acceptance and commitment therapy, and hypnotherapy), evidence was insufficient to permit conclusions. We also found that mindfulness‐based therapies may reduce migraine disability more than education, and relaxation + education may improve migraine‐related quality of life more than propranolol (SOE: low). For children/adolescents, we included 13 trials (16 publications, N = 1444 children), but the evidence was only sufficient to conclude that CBT + biofeedback + relaxation training may reduce migraine attack frequency and disability more than education alone (SOE: low).

Conclusion

Results suggest that for adults, CBT, relaxation training, and mindfulness‐based therapies may each reduce the frequency of migraine/headache attacks, and education alone may reduce disability. For children/adolescents, CBT + biofeedback + relaxation training may reduce migraine attack frequency and disability more than education alone. Evidence consisted primarily of underpowered trials of multicomponent interventions compared with various types of control groups. Limitations include semantic inconsistencies in the literature since 1975, differential usage of treatment components, expectation effects for subjectively reported outcomes, incomplete data, and unclear dosing effects. Future research should enroll children and adolescents, standardize intervention components when possible to improve reproducibility, consider smart study designs and personalized therapies based on individual characteristics, use comparison groups that control for expectation, which is a known challenge in behavioral trials, enroll and retain larger samples, study emerging digital and telehealth modes of care delivery, improve the completeness of data collection, and establish or update clinical trial conduct and reporting guidelines that are appropriate for the conduct of studies of behavioral therapies.

Keywords: cognitive–behavioral therapy, headache, migraine, mindfulness, relaxation

Plain Language Summary

Behavioral interventions for migraine prevention are an important alternative to medications for both children and adults. To optimize decision‐making by patients and providers, we conducted a comprehensive systematic review and meta‐analysis of 63 randomized trials published since 1978. Due to methodological differences between studies, incomplete data, and unclear dosing effects, the quality of the reviewed evidence was insufficient to permit conclusions; however, some behavioral treatments appear to offer benefits in migraine reduction, and additional research on these interventions in adult and pediatric populations is needed.


Abbreviations

ACT

acceptance and commitment therapy

AHRQ

Agency for Healthcare Research and Quality

CBT

cognitive behavioral therapy

CI

confidence interval

HIT‐6

Headache Impact Test‐6

MBCT

mindfulness‐based cognitive therapy

MBSR

mindfulness‐based stress reduction

MID

minimal important difference

MIDAS

Migraine Disability Assessment

MSQ

Migraine‐Specific Quality of Life Questionnaire v2.1

PCORI

Patient‐Centered Outcomes Research Institute

QoL

quality of life

SMD

standardized mean difference

SOE

strength of evidence

TEP

Technical Expert Panel

INTRODUCTION

One in six Americans has migraine, a chronic disease that globally stands as the second leading cause of disability. Migraine often impacts individuals during crucial periods of their lives, including years of education, career progression, and child‐rearing. 1 Preventative migraine interventions aim to decrease the frequency, severity, and negative life impact of migraine attacks. Behavioral interventions may be used for migraine prevention as standalone therapies or adjunctive treatments to pharmacologic or other nonpharmacologic interventions. Behavioral therapies may be particularly attractive for individuals seeking to avoid pharmacologic therapies due to side effects or personal preference.

The latest adult clinical practice guidelines from 2012 overlook behavioral therapies that have been more recently applied to migraine, such as mindfulness‐based therapies (mindfulness‐based cognitive therapy [MBCT] and mindfulness‐based stress reduction [MBSR]), 2 and the pediatric headache preventive guidelines were limited to studies that included pharmacologic agents. 3 Consensus statements from the American Headache Society and American Academy of Family Physicians on nonpharmacologic migraine prevention were not based on earlier systematic evidence reviews and did not address the specific treatment needs of children and adolescents. 4 , 5 , 6 , 7 Recent literature reviews indicate that existing systematic reviews on behavioral therapies may need to be updated. 8 The most recent reviews, published in 2018 and 2019, examined biofeedback, CBT, and progressive muscle relaxation (a form of relaxation training) for adult migraine prevention, but did not evaluate all preventive behavioral therapy options. 9 , 10 , 11 Two recent reviews focused on pain prevention in children and adolescents broadly, without specific emphasis on migraine. 12 , 13

To address these evidence gaps and support the potential development of an evidence‐based clinical practice guideline, we performed a systematic review. We defined behavioral interventions as nonpharmacologic strategies intended to modify behavior and/or ways of thinking for adults, adolescents, and children with migraine. This systematic review addressed the (1) effectiveness, (2) comparative effectiveness, (3) contribution of specific behavioral components, (4) effectiveness of non‐migraine‐focused interventions, (5) associations with patient factors, and (6) delivery via telehealth. This article only summarizes the first three areas listed above; additional findings are available in the full report (https://effectivehealthcare.ahrq.gov/products/behavioral‐interventions‐migraine‐prevention/research).

METHODS

We followed methods outlined in the Agency for Healthcare Research and Quality (AHRQ) Methods Guide for Effectiveness and Comparative Effectiveness Reviews. 14 We recruited six key informants to refine the topic and provide input on the scope. A seven‐member Technical Expert Panel (TEP) provided input on the protocol. The key informants and TEP included clinical psychologists, adult and pediatric neurologists, primary care physicians, researchers, funders, pediatric and adult patients with migraine, and their caregiver representatives. The protocol was posted online for public comment (www.effectivehealthcare.ahrq.gov) from July 19, 2022, to August 9, 2022, and was registered on PROSPERO (CRD42023397752). The draft systematic review was reviewed by AHRQ, Patient‐Centered Outcomes Research Institute (PCORI), four members of the TEP, and five additional solicited peer reviewers. A revised draft was posted for public comment on the AHRQ Effective Healthcare website (September 5, 2023 to October 20, 2023) that received comments from two people and the American Psychological Association.

Literature search

A research librarian searched MEDLINE and Embase (via Embase.com), PsycINFO (via Ovid), PubMed (in process citations, to capture items not yet indexed in MEDLINE), and the Cochrane Database of Systematic Reviews for randomized controlled trials, systematic reviews, and meta‐analyses published from 1975 to August 24, 2023. A second librarian independently peer‐reviewed the search strategy using the PRESS Checklist. We hand‐searched reference lists of relevant systematic reviews to identify additional trials. File S1 contains the search strategies.

Trial selection

Our eligibility criteria appear in Table 1. The review team was comprised of experienced systematic reviewers and employed dual screening of both abstracts and full‐text articles (in DistillerSR), with discrepancies resolved by discussion between those disagreeing (we did not compute interrater reliability). Trials had to report data on at least one of three primary outcomes (attack frequency, migraine disability, or migraine‐specific quality of life [QoL]). This article describes only these three outcomes; see the full report for other outcomes (https://effectivehealthcare.ahrq.gov/products/behavioral‐interventions‐migraine‐prevention/research). If a trial reported multiple metrics of migraine/headache attack frequency (e.g., both migraine days per month and migraine attacks per month), we selected an outcome using the following order of priority: (1) migraine days per month, (2) headache days per month, (3) migraine attacks per month, (4) headache attacks per month, and (5) percentage of patients experiencing a 50% or more reduction in one of the metrics above. Due to resource constraints, we did not attempt to contact study authors for missing data or methodology information.

TABLE 1.

Trial eligibility criteria.

Aspect Inclusion Exclusion
Patients Children (aged 6–11 years), adolescents (aged 12–17 years), and adults (18 years or older) with migraine headache (episodic or chronic) Trials conducted exclusively:
We did not require trials to include only individuals with an International Classification of Headache Disorders diagnosis of migraine headache
  • Among individuals in institutions (e.g., psychiatric inpatients, long‐term care facilities, incarcerated populations)

≥80% of trial participants had migraine headache, or the trial reports a subgroup analysis composed of at least 80% patients with migraine
  • Parents, for trials with interventions targeting children and adolescents

For trials with participants with other headache types (e.g., medication‐overuse headache, tension‐type headache, cluster headache) in addition to migraine, we included the trial if at least 80% of participants had migraine
  • Individuals with psychotic disorders

Interventions Migraine‐focused behavioral interventions used for prevention, administered either alone or with pharmacotherapy, delivered in‐person, via telehealth, or with e‐ or mHealth Trials focused solely on:
1. CBT
  • Physical therapy

  • CBT

  • Exercise

  • Cognitive therapy

  • Catharsis therapy (e.g., written emotional disclosure)

  • Occupational therapy

  • Behavioral therapy

  • Creative arts therapy (art therapy, music therapy, dance therapy)

  • SMT

  • Massage

  • Coping skills training

  • LCT

  • Parent/caregiver operant training (parent or caregiver reinforces coping behaviors)

  • Problem‐solving training

2. Biofeedback
  • Thermal/temperature biofeedback (hand warming/thermal biofeedback; often feedback of skin temperature from finger)

  • Electromyographic biofeedback (feedback of electrical activity from muscles of scalp, neck, or upper body)

  • Heart rate variability biofeedback

  • Electrocardiographic biofeedback

  • Pulse

  • Blood volume pulse

  • Respiratory

  • Electroencephalography/neurofeedback

3. Relaxation training
  • Diaphragmatic breathing

  • Progressive muscle relaxation (alternatively tensing/relaxing selected muscles)

  • Autogenic feedback (use of calm, self‐soothing statements to promote a state of deep relaxation)

  • Autogenic training

  • Guided imagery/guided visual imagery (children/adolescents)

4. Mindfulness‐based stress reduction
  • Meditation (use of silently repeated word or sound to promote mental calm and relaxation)

  • Transcendental meditation

  • Guided imagery/guided visual imagery (adults)

5. Acceptance and commitment therapy
6. Education
  • Education (skills, lifestyle, exercise, nutrition, hydration, stress management, sleep hygiene)

  • Neuroscience education therapy

  • Healthy lifestyle counseling

  • Sleep counseling

  • Trigger avoidance

  • Weight management (informational)

  • Diary/tracking

7. Hypnotherapy
8. Trauma‐informed therapy
  • EMDR

  • Trauma‐focused therapy

9. DBT
10. Motivational interviewing and stages of change
11. Professionally led support groups/peer support
12. Combination therapies
Non‐headache‐focused behavioral interventions
  • CBT for insomnia or depression/anxiety

  • Sleep hygiene counseling

  • Parent/caregiver operant training (parent or caregiver reinforces adaptive sleep behaviors)

• Healthy lifestyle counseling
Comparisons Effectiveness Comparators not listed as included
  • No intervention (e.g., waitlist, usual care)

  • Minimal intervention (e.g., educational materials without skills training)

  • Most active: attention control, sham, or placebo

Comparative effectiveness
A different eligible behavioral intervention, or a pharmacological intervention in one of the following class:
  • Alpha agonists

  • Angiotensin‐converting enzyme inhibitors/angiotensin receptor blockers

  • Anti‐seizure medications

  • Antihistamines (for children and adolescents only)

  • Beta‐blockers

  • onabotulinumtoxinA

  • Calcitonin gene‐related peptide antagonists

  • Calcium channel blockers

  • Other antidepressants

  • Serotonin norepinephrine reuptake inhibitors

  • Tricyclic antidepressants

Component contribution
  • The trial design permitted the isolation of the contribution of a single behavioral component (e.g., A + B vs. A measures the contribution of B)

Outcomes Trial must have reported one or more of three primary outcomes Some other outcomes were included in the full report, but are not discussed in this article
Migraine/headache attack frequency
  • Migraine/headache count: migraine days per month, migraine attacks per month, headache days per month, or headaches per month

  • Responder rate: 50% or more reduction in one of the above quantities

Functional status/disability
  • MIDAS, PedMIDAS, HIT‐6, HANA, MIBS, FIS, FDI (parent form), FDI (child and adolescent), IMPAC, PDI

QoL
  • Migraine‐specific: MSQ

Trial design criteria
  • Randomized controlled trials reporting outcomes for ≥10 participants per treatment arm

Excluded crossover trials not reporting period 1 data separately
  • Period 1 data from crossover RCTs

Excluded reviews, letters, guidelines, position statements, and commentaries
  • Published in English language

Excluded single arm or nonrandomized controlled trials
  • Published 1975 or after

Unpublished trials/not published as a full‐length article (e.g., conference abstract)
  • Subgroup analyses addressing patient factors must have reported outcomes on at least 10 patients per subgroup

SRs were used only to identify potential RCTs for inclusion
Setting Any noninpatient setting Hospitalized patients
Trials conducted in countries rated as “very high” on the 2022 Human Development Index (as defined by the United Nations Development Program). This was to focus our efforts on treatment settings relatively similar to US settings Trials conducted in other countries
Timing Trials must have reported 1 of our primary outcomes at 4 weeks or longer after treatment initiation Earlier timepoints

Abbreviations: CBT, cognitive behavioral therapy; DBT, dialectical behavioral therapy; EMDR, eye movement desensitization and reprocessing; FDI, Functional Disability Inventory; FIS, Fatigue Impact Scale; HANA, Headache Needs Assessment; HIT‐6, Headache Impact Test‐6; LCT, learning to cope with triggers; MBCT, mindfulness‐based cognitive therapy; MIBS, Migraine Interictal Burden Scale; MIDAS, Migraine Disability Assessment; MSQ, Migraine‐Specific Quality of Life Questionnaire v2.1; PDI, Pain Disability Inventory; PedMIDAS, Pediatric Migraine‐Specific Disability Assessment; QoL, quality of life; RCT, randomized controlled trial; SMT, stress management training; SR, systematic review.

a

MBCT was categorized as a combination of cognitive therapy and MBSR, so it appears under two categories.

Intervention categorization

Preventative behavioral interventions can have one component or multiple components. To categorize interventions, first, we considered trial descriptions of interventions, irrespective of how trial authors named their intervention(s). Second, any intervention mentioned in the trial was considered part of the intervention, regardless of duration, delivery intensity, and setting/modality (i.e., self‐guided or in‐clinic). Thus, a trial providing written relaxation technique materials to participants and a trial conducting in‐person weekly relaxation sessions were both considered as relaxation training. Two analysts and four migraine experts reviewed all categorizations to ensure reliability.

We classified education‐only comparison groups in trials as attention controls if: (1) authors indicated their designation as such, (2) the allocated time and interaction with trial staff were comparable to the intervention arm, and (3) the educational component lacked additional behavioral interventions (e.g., relaxation training, cognitive behavioral therapy [CBT]). Interventions not meeting these criteria but still functioning as a minimal intervention control were labeled as minimal intervention. We classified education as a behavioral intervention when aimed to modify behavior or ways of thinking (as per our definition of behavioral interventions).

For analysis, many trials employed multicomponent treatment packages, with different trials often using different combinations. To assess effectiveness, we grouped trials based on the presence of a common component, disregarding the variety or dosage of additional elements within the treatment regimen. For example, the CBT section discusses data on the three‐component intervention by Klan et al. 15 (CBT + progressive muscle relaxation + education) as well as the six‐component intervention by Lemstra et al. 16 (CBT + relaxation training + education + exercise + massage therapy + physical therapy). This is because both interventions had a CBT component. These same two studies were also analyzed for relaxation training effectiveness, because both included relaxation training.

Data analysis

We conducted random‐effects meta‐analyses using the restricted maximum‐likelihood approach and the inverse‐variance weighting scheme using the meta package (version 6.2‐1) in R version 4.1.3 (R Foundation for Statistical Computing, Vienna, Austria). 17 Wherever possible, we computed effect sizes and 95% confidence intervals (CIs) using standard methods. We measured heterogeneity using τ 2, complemented by I 2. Where necessary, we estimated mean and standard deviation from median and interquartile range, or range using the methods described by Wan et al. 18 Because trials often used different metrics for the same construct, we conducted meta‐analyses of standardized mean differences (SMDs) using the Hedges g approach. If a trial reported multiple metrics of migraine disability or migraine QoL, we chose for meta‐analysis the metric that was more commonly reported among our included trials (although we extracted all such data). To facilitate interpretation, we used typical standard deviations to convert summary SMDs to a more commonly understood metric (e.g., Pediatric Migraine‐Specific Disability Assessment for migraine disability in youth). We did not conduct sensitivity analyses. Data were extracted by a single team member.

We defined time points from the beginning of the intervention. If a trial reported change from baseline data in addition to at follow‐up data, we prioritized the former. Some trials reported multiple follow‐up time points (and we extracted them all), but for meta‐analyses, we chose the one closest to 12 weeks after the start of treatment, as this was the most commonly reported time point. Our meta‐analyses did not account for different studies having different durations of interventions.

We considered a two‐tailed p‐value < 0.050 to represent statistical significance. To assess the clinical importance of findings, we consulted our TEP and the published literature to determine a minimal important difference (MID) for each primary outcome. For migraine/headache attack frequency, the MID was set at 1 migraine day/month. For disability, the MID was 3 points on the Migraine Disability Assessment (MIDAS; which ranges 0–90). We identified no empirical literature on the MID for MIDAS, and we chose 3 points because it represents approximately 3% of the scale range, similar to our MID for attack frequency. For migraine‐specific QoL, the MID was 19 points on the 0–100 Migraine‐Specific Quality of Life v2.1 (based on a trial by Cole et al.). 19

Evidence rating

We evaluated risk of bias in individual trials as well as the strength of evidence (SOE) for each body of evidence related to a specific comparison and outcome. To assess risk of bias, we employed the revised Cochrane risk of bias tool for randomized trials. 20 File S2 contains our study‐by‐study risk of bias ratings.

For assessing SOE, we adhered to the 2013 AHRQ Methods Guide, 21 which considers multiple inputs (trial design, risk of bias, consistency of results across trials, directness of the evidence, effect estimate precision, reporting bias, strong dose–response association, large magnitude of effect, and whether controlling for all plausible confounders would increase the effect). The SOE rating was high, moderate, low, or insufficient. This rating is made separately for each outcome of each comparison. A rating of insufficient is given if the evidence does not permit a conclusion for that outcome (e.g., the CI was wide enough to include both favors A and favors B). Two analysts rated the SOE independently, with discrepancies resolved by consensus.

RESULTS

Evidence base

For the full report, searches identified 1791 potentially relevant references (Figure 1). Among these, 127 full‐text articles were excluded, predominantly due to reasons such as not meeting population criteria, not evaluating a comparison of interest, or not assessing a key outcome of interest. For a list of all articles excluded at full text, see File S3.

FIGURE 1.

FIGURE 1

Trial flow diagram. This figure shows the counts and various stages of our article screening process. Searches identified 1791 potentially relevant references, of which 106 were duplicates. An additional 61 potentially relevant references were identified from the reference lists of relevant systematic reviews. We excluded 1526 citations at the abstract level and ordered the remaining 220 for full‐text consideration. Of these, we excluded 127 studies, with the most common reasons for exclusion being “Does not meet population criteria,” “Does not evaluate a comparison of interest,” and “Does not evaluate a key outcome of interest.” As a result, we included 63 studies in 93 publications.

For adults, we included 50 randomized trials (published from 1978 to 2023) assessing behavioral interventions (see Table 2). 15 , 16 , 22 , 23 , 24 , 25 , 26 , 27 , 28 , 29 , 30 , 31 , 32 , 33 , 34 , 35 , 36 , 37 , 38 , 39 , 40 , 41 , 42 , 43 , 44 , 45 , 46 , 47 , 48 , 49 , 50 , 51 , 52 , 53 , 54 , 55 , 56 , 58 , 59 , 60 , 61 , 62 , 64 , 65 , 66 , 67 , 69 , 70 , 71 , 72 Collectively, these trials enrolled 6024 adults; 36 trials addressed effectiveness, 16 comparative effectiveness, and three addressed the contribution of a specific behavioral component. Some trials addressed multiple areas. Twenty‐four trials were conducted in the United States, five in the Netherlands, four in Germany, three in Canada, three in Italy, two in Sweden, two in the United Kingdom, and one each in six other countries (one trial did not report the country in which patients were enrolled). The median number of patients at baseline was 75 (interquartile range = 37–111), the weighted average patient age was 42 years, and 84% of participants were women. Fourteen US trials reported race or ethnicity, with a median 73% White, 14% Black, 4% Asian/Pacific Islander, 8% Hispanic, and 1% Native American or Alaska Native. The baseline number of days per month that patients experienced migraine or headache attacks per month (reported by 25 trials) ranged from 4 to 25 (median = 10). Few studies reported on comorbid anxiety and depression; 47% of patients had comorbid anxiety (four trials), and 46% had comorbid depression (seven trials). In two thirds of trials (33 trials), behavioral interventions employed multicomponent interventions, whereas 34% (17 trials) assessed single behavioral interventions. The trial duration (time from treatment initiation to last follow‐up) ranged from 1 to 37 months (median = 6 months).

TABLE 2.

Included trials of adults on effectiveness, comparative effectiveness, or component contributions.

Trial Baseline N Episodic, chronic, or mixed Behavioral treatment(s) Control group(s) Effectiveness Comparative effectiveness Components contribution
Aguirrezabal (2019) 22 116 NR
  • Education

TAU or no intervention
Blanchard (1978) 23 37 NR
  • Relaxation training (PMR)

  • Thermal biofeedback + relaxation training (autogenic training)

TAU or no intervention
Bromberg (2012) 24 189 100% chronic
  • CBT + biofeedback + relaxation training + education

TAU or no intervention
Brown (1984) 25 39 NR
  • MBSR via guided imagery, relaxing statements

  • MBSR via guided imagery, scene details

Attention control
Cousins (2015) 26 73 Mixed (% NR)
  • CBT + relaxation training (PMR + deep breathing)

TAU or no intervention
Cuneo (2023) 27 36 100% chronic
  • Biofeedback

TAU or no intervention
D'Souza (2008) 28 90 NR
  • Relaxation training (autogenic training + deep breathing)

Attention control

Written emotional disclosure (not an included treatment)

Day (2014) 29 36 NR
  • MBCT

TAU or no intervention
de Tommaso (2017) 30 33 100% episodic
  • Nociceptive blink reflex biofeedback

  • Nociceptive blink reflex biofeedback + topiramate

Topiramate
Dindo (2020) 31 103 100% episodic
  • ACT therapy + education

  • Relaxation training + education + deep breathing

None
Dittrich (2008) 32 30 NR
  • Relaxation training (PMR) + exercise

TAU or no intervention
Fritsche (2010) 33 40 100% episodic
  • CBT + relaxation training (PMR) + education

  • PMR + education

None
Flynn (2019) 34 150 NR
  • Hypnotherapy

TAU or no intervention
Grazzi (2021) 35 35 100% episodic
  • ACT

TAU or no intervention
Hedborg (2011) 36 76 100% episodic
  • Relaxation training + healthy lifestyle counseling + sleep counseling + stress management

  • Relaxation training + healthy lifestyle counseling + sleep counseling + stress management + massage therapy

Minimal control
Holroyd (1988) 37 37 100% chronic
  • Thermal biofeedback + relaxation training

Attention control
Holroyd (2010) 38 232 NR
  • CBT + relaxation training (PMR) + propranolol

  • CBT + relaxation training (PMR)

Placebo

Propranolol

Janssen (1986) 39 NR NR
  • Relaxation training (PMR)

  • Relaxation training (autogenic training)

None
Kewman (1980) 40 23 100% episodic
  • Thermal biofeedback

Attention control
Klan (2022) 15 106 96% episodic, 4% chronic
  • CBT + relaxation training (PMR) + education

  • Relaxation training

TAU or no intervention
Kleiboer (2014) 41 368 Mixed (% NR)
  • CBT + relaxation training + education

TAU or no intervention
Kohlenberg (1981) 42 117 100% episodic
  • CBT + thermal biofeedback + education + relaxation training + MBSR (meditation)

Attention control
Kropp (1997) 43 38 Mixed (% NR)
  • CBT + relaxation training

  • Biofeedback

None
Lemstra (2002) 16 80 100% chronic
  • CBT + relaxation training + education + exercise + massage therapy + physical therapy

TAU or no intervention
Matchar (2008) 44 614 100% chronic
  • Relaxation training + education

TAU or no intervention
Mathew (1981) 45 715 NR
  • Thermal and EMG biofeedback

  • Thermal and EMG biofeedback + propranolol

  • Thermal and EMG biofeedback + amitriptyline

  • Biofeedback + amitriptyline + propranolol

TAU or no intervention

Propranolol

Amitriptyline

Propranolol + amitriptyline

Mérelle (2008) 46 127 100% episodic
  • Relaxation training (autogenic training) + education

TAU or no intervention
Minen (2020) 47 62 NR
  • Relaxation training (PMR)

TAU or no intervention
Minen (2020) 48 139 NR
  • Relaxation training (PMR)

TAU or no intervention
Minen (2021) 49 52 NR
  • Heart rate variability biofeedback

TAU or no intervention
Odawara (2015) 50 27 100% episodic
  • Thermal biofeedback + EMG biofeedback + PMR

TAU or no intervention
Pickering (2012) 51 42 100% episodic
  • Relaxation training

TAU or no intervention
Rausa (2016) 52 47 100% chronic
  • EMG biofeedback

Attention control
Reich (1989) 53 392 100% chronic
  • Relaxation training

  • Thermal biofeedback

  • Combination of any two interventions from the other groups

Microcurrent electrical therapy (not an included treatment)
Richardson (1989) 54 47 Mixed (% NR)
  • CBT + relaxation training (PMR; in clinic)

  • CBT + relaxation training (PMR; self‐administered)

TAU or no intervention
Rothrock (2006) 55 100 19% episodic, 81% chronic
  • Education (general migraine information)

Minimal control
Sargent (1986) 56 , 57 136 NR
  • Thermal biofeedback + relaxation training

  • EMG biofeedback + relaxation training

  • Relaxation

TAU or no intervention
Seminowicz (2020) 58 98 100% episodic
  • MBSR

  • Stress management training + education

None
Seng (2019) 59 60 48% episodic, 52% chronic
  • MBCT + education

TAU or no intervention
Simshäuser (2022) 60 54 100% Episodic
  • MBCT

TAU or no intervention
Sorbi et al. (1984) 61 21 100% episodic
  • CBT + PMR + thermal biofeedback

  • CBT + PMR

None
Sorbi (1986) 62 , 63 29 NR
  • CBT

  • Relaxation training (autogenic training)

None
Underwood (2023) 64 727 45.5% episodic, 54.5% chronic
  • Education (healthy living, general migraine information)

Minimal control
Varkey (2011) 65 91 99% episodic, 1% chronic
  • Relaxation training

Topiramate
Vasiliou (2021) 66 94 Mixed (% NR)
  • ACT

TAU or no intervention
Wachholtz (2008) 67 , 68 83 NR
  • Spiritual meditation

  • Internally focused secular meditation

  • Externally focused secular meditation

  • Relaxation training (PMR)

None
Wells (2021) 69 89 Mixed (% NR)
  • MBSR

  • Education (general migraine information, stress)

None
Wittchen (1983) 70 20 NR
  • CBT + relaxation training + education

TAU or no intervention

Note: A checkmark (✓) indicates that the trial addressed that aspect of the treatment. See the Methods section for definitions of the different types of comparison groups.

Abbreviations: ACT, acceptance and commitment therapy; CBT, cognitive behavioral therapy; EMG, electromyographic; MBCT, mindfulness‐based cognitive therapy; MBSR, mindfulness‐based stress reduction; NR, not reported; PMR, progressive muscle relaxation; TAU, treatment as usual.

For the 50 adult trials, we rated the overall risk of bias to be low for three trials (6%), some concerns for 10 trials (20%), high for 35 trials (70%), and a mix of some concerns and high (depending on the type of treatment comparison) for two trials (4%). Our concerns mostly involved incomplete data and possible measurement bias. Specifically, incomplete data often occurred due to the number of patients not providing data at follow‐up. Measurement bias was mostly due to differences in attention time from trial staff and differential expectations of benefit in control groups (e.g., waitlist) versus treatment groups. The purpose of an attention control group, which six trials used, is to try to account for these concerns. Specifically, if the control group is seen for approximately the same amount of time by trial staff as the actively treated group, and the control group's treatment could reasonably be believed to improve migraine‐related outcomes, then differential expectations are an unlikely reason for why outcomes may have differed. We recognize that blinding is rarely possible in behavioral trials, but some trials were able to control for differential expectations in other ways (e.g., sham treatment). See the Appendix for the full report on domain‐specific risk of bias ratings.

We included 13 trials of children/adolescents (published from 1984 to 2015) that had enrolled a total of 1414 children/adolescents (Table 3). 73 , 74 , 75 , 76 , 77 , 78 , 79 , 80 , 81 , 82 , 83 , 84 , 85 Eight trials were conducted in the United States, three in Germany, one in Canada, and one in Sweden. Twelve trials employed multiple behavioral components together, and one trial employed only a single behavioral component. The median number at baseline was 36 (interquartile range = 30–42), the weighted average age was 14.5 years, and 61% of participants were girls. Eight US trials reported race or ethnicity, with a median of 90% White and 10% Black. The migraine or headache days per month (reported by four trials) ranged from 8 to 23 (median = 10), and the baseline number of migraine episodes or headaches per month (reported by six trials) ranged from three to 48 (median = 14). Only one trial 85 reported comorbid anxiety (present in 25% [6/24]) and depression (13% [3/24]). The trial duration (time between the start of treatment and the last follow‐up) ranged from 1 to 16 months (median = 7 months).

TABLE 3.

Included trials of children/adolescents on effectiveness, comparative effectiveness, or component contributions.

Trial Baseline N Episodic, chronic, or mixed Behavioral treatment(s) Comparison group(s) Effectiveness Comparative effectiveness Component contribution
Albers (2015) 73 900 100% episodic
  • CBT + relaxation training + education

TAU or no intervention
Allen (1998) 74 27 100% episodic
  • Thermal biofeedback + education

  • Thermal biofeedback

None
Connelly (2006) 75 37 76% episodic, 24% chronic
  • CBT + relaxation training + education

TAU or no intervention
Cottrell (2007) 76 30 100% episodic
  • CBT + thermal biofeedback + relaxation training (PMR) + education + activity pacing

Attention control
Fichtel (2001) 77 37 100% episodic
  • Relaxation training (PMR)

TAU or no intervention
Gerber (2010) 78 34 100% episodic
  • Thermal biofeedback + EMG biofeedback + relaxation training + education

  • CBT+ PMR + education

None
Labbé (1984) 79 28 100% episodic
  • Thermal biofeedback + relaxation training (autogenic training)

TAU or no intervention
Labbé (1995) 80 30 100% episodic
  • Thermal biofeedback + relaxation training (autogenic training)

  • Relaxation training (autogenic training)

TAU or no intervention
Powers (2013) 81 135 100% chronic
  • CBT + thermal biofeedback + EMG biofeedback + relaxation training + amytriptyline

  • Education + amytriptyline

None
Rapoff (2014) 82 35 Mixed (% NR)
  • CBT + relaxation training + pain management education

Minimal control
Richter (1986) 83 42 100% episodic
  • CBT

  • Relaxation training (PMR + deep breathing)

Attention control
Sartory (1998) 84 43 100% episodic
  • CBT+ PMR

  • CBT + blood volume pulse biofeedback

Metoprolol
Scharff (2002) 85 36 100% episodic
  • CBT + thermal biofeedback + relaxation training

Attention control

TAU or no intervention

Note: A checkmark (✓) indicates that the trial addressed that aspect of the treatment. See the Methods section for definitions of the different types of comparison groups.

Abbreviations: CBT, cognitive behavioral therapy; EMG, electromyographic; NR, not reported; PMR, progressive muscle relaxation; TAU, treatment as usual.

For children/adolescents, we rated the overall risk of bias to be low for one trial (8%), some concerns for two trials (15%), high for eight trials (62%), and a mix of some concerns and high (depending on the type of treatment comparison) for two trials (15%). The reasons for our risk of bias ratings were similar in the pediatric literature as compared to the adult literature.

Adults: Effectiveness

Cognitive behavioral therapy

We included 12 trials assessing the effectiveness of CBT for adults. Notably, control arms differed across studies; 10 trials compared CBT to treatment as usual care/waitlist, one trial used an attention control, and one trial used a placebo control. Variability in control groups also occurred with other treatments (e.g., biofeedback, relaxation training; see Table 2).

For migraine/headache attack frequency, our meta‐analysis of 10 trials (Figure 2A, combining data from 839 patients) found a summary SMD of −0.33 (95% CI = −0.55 to −0.11, with a τ 2 of 0.0668), favoring CBT, translating to a difference of −1.1 migraine days per month (95% CI = −1.8 to −0.4) with CBT compared with no treatment or treatment as usual. Neither Bromberg et al. 24 nor Lemstra et al. 16 reported data on this outcome.

FIGURE 2.

FIGURE 2

Meta‐analyses of cognitive behavioral therapy in adults. (A) Migraine or headache frequency. (B) Migraine disability. (C) Migraine‐specific quality of life. B, biofeedback; CBT, cognitive behavioral therapy; Chr, only patients with chronic migraine; CI, confidence interval; E, education; Epi, only patients with episodic migraine; HA, headaches (unreported timeframe); HA d/w, headache days per week; HA d/28 d, headache days per 28‐day period; HA/w, headaches per week; HDI, Headache Disability Inventory; HIT‐6, HIT‐6, Headache Impact Test‐6; MBSR, mindfulness‐based stress reduction; Mi d/w, migraine days per week; Mi d/30 d, migraine days per 30‐day period; Mi/w, migraine attacks per week; MIDAS, Migraine Disability Assessment; Mix, both episodic and chronic patients; MSQoL, Migraine‐Specific Quality of Life; NA, not applicable; NR, not reported; O, other (neither behavioral nor pharmacologic); P, pharmacologic; PDI, Pain Disability Inventory; R, relaxation training; SMD, standardized mean difference; T, tailored treatment; TAU, treatment as usual.

Seven trials used one of the key instruments for measuring migraine disability, and our meta‐analysis (Figure 2B, combining data from 712 patients) found a summary SMD of −0.32 (95% CI = −0.66 to 0.03). This result corresponds to 7 points on the MIDAS (95% CI = −17 to 3). This result is insufficient to permit conclusions, as the CI included both no effect (MIDAS difference of 0) and a clinically important effect (MIDAS difference of −17). The likely reason for the wide CI is differing effect sizes rather than small study sizes, as evidenced by τ 2 = 0.1643. Wittchen 70 (not included in the meta‐analysis due to unreported dispersion) found similar reductions in disability in both the CBT and control groups, with no statistical test reported. Overall, this outcome is insufficient to permit conclusions.

Only two of 11 trials reported migraine‐specific QoL (meta‐analysis in Figure 2C, combining data from 464 patients). Whereas Holroyd et al. 38 found a statistically significant advantage for the groups receiving CBT, Kleiboer et al. 41 found no statistically significant difference between groups. The inconsistency produced a wide confidence interval in the meta‐analysis, precluding a conclusion.

Biofeedback

We included 13 trials on effectiveness that administered biofeedback to adults. For migraine/headache attack frequency, six of the 13 reported data for meta‐analysis (Figure 3A, combining data from 212 patients). The summary SMD was insufficient to permit conclusions (−0.37, 95% CI = −0.87 to 0.12, τ 2 = 0.255); as the CI overlapped with a null effect, it was not narrow enough to indicate the absence of a difference. Of the other seven trials, three reported this outcome. Sorbi and Tellegen 61 found no statistically significant difference between groups in the percentage reduction in frequency. Neither Sargent et al. 56 , 57 nor Blanchard et al. 23 reported a statistical test between biofeedback and no treatment.

FIGURE 3.

FIGURE 3

Meta‐analyses of biofeedback in adults. (A) Migraine or headache frequency. (B) Migraine disability. B, biofeedback; CBT, cognitive behavioral therapy; Chr, only patients with chronic migraine; CI, confidence interval; E, education; Epi, only patients with episodic migraine; HA d/w, headache days per week; MBSR, mindfulness‐based stress reduction; Mi d/w, migraine days per week; Mi/w, migraine attacks per week; MIDAS, Migraine Disability Assessment; NA, not applicable; R, relaxation training; SMD, standardized mean difference; TAU, treatment as usual.

For migraine disability, only two of the 13 trials reported effect size calculable information on included instruments measuring this outcome, and our meta‐analysis was insufficient to permit conclusions (Figure 3B, combining data from 160 patients). Of the other trials, three reported this outcome. Odawara et al. 50 did not report the disability scale they used but did report that the biofeedback group improved statistically significantly more than the control group. The other two trials, 30 , 49 reported that there was no statistically significant difference between groups.

Only Minen et al. 49 reported data on the Migraine‐Specific Quality of Life v2.1, with no statistically significant difference between groups.

Relaxation training

We included 23 trials assessing relaxation training for migraine prevention in adults. For migraine/headache attack frequency, our meta‐analysis of 13 trials (Figure 4A, combined n = 1091) favored relaxation training, with an SMD of −0.31 (95% CI = −0.50 to −0.11), translating to 1 fewer migraine day/month (95% CI = 0.4–1.6 fewer days/month). Four additional trials reported this outcome but had insufficient data for effect size calculation and did not report statistical tests. Three 32 , 56 , 57 had point estimates in the direction favoring relaxation training, and the other 48 was in the direction favoring the control group.

FIGURE 4.

FIGURE 4

Meta‐analyses of relaxation training in adults. (A) Migraine or headache frequency. (B) Migraine disability. (C) Migraine‐specific quality of lifeB, biofeedback; CBT, cognitive behavioral therapy; Chr, only patients with chronic migraine; CI, confidence interval; E, education; Epi, only patients with episodic migraine; HA, headaches (unreported timeframe); HA d/28 d, headache days per 28‐day period; HA d/w, headache days per week; MBSR, mindfulness‐based stress reduction; Mi d/30 d, migraine days per 30 day period; Mi d/w, migraine days per week; Mi/4 w, migraine attacks per 4‐week period; Mi/w, migraine attacks per week; MIDAS, Migraine Disability Assessment; Mix, both episodic and chronic patients; MSQoL, Migraine‐Specific Quality of Life; NR, not reported; O, other (neither behavioral nor pharmacologic); P, pharmacologic; R, relaxation training; SMD, standardized mean difference; T, tailored treatment; TAU, treatment as usual.

Our meta‐analysis of migraine disability included 10 of 23 trials (Figure 4B, combining data from 1409 patients). The summary SMD was −0.19 (95% CI = −0.41 to 0.03, which translates to a MIDAS result [range 0–90] of −5 points [95% CI = −11 to 1]), which is insufficient to permit conclusions. The wide CI was likely due to differing effect sizes (τ 2 = 0.079). Three additional trials reported this outcome but were not included in meta‐analyses. One found a statistically significant advantage for the relaxation training group, 51 another reported no statistically significant between‐group difference, 37 and the third did not report a statistical test, 70 but we conducted it and found no statistical significance.

Three of the 23 trials reported migraine‐specific QoL data, and our meta‐analysis (Figure 4C, combining data from 572 patients) was insufficient to permit conclusions (SMD −0.56, 95% CI = −1.38 to 0.26). The CI overlapped with a null effect and was not narrow enough to indicate the absence of a difference.

Mindfulness‐based treatments

Five trials assessed mindfulness‐based treatments in adults. Brown 25 employed single‐component treatment with MBSR. Seng et al. 59 reported combination treatment with CBT, mindfulness, and education (CBT and mindfulness together are called MBCT); Simshäuser et al. 60 and Day et al. 29 used MBCT; and Kohlenberg and Cahn 42 reported a multicomponent treatment that included CBT, relaxation training, biofeedback, and meditation.

All five reported migraine/headache attack frequency and enough information for effect size calculation (Figure 5A, combining data from 227 patients). The result of this meta‐analysis was statistically in favor of MBSR‐based treatments, with an SMD of −0.30 (95% CI = −0.54 to −0.05), corresponding to 1 fewer migraine day/month (95% CI = 0.2–1.8 fewer days/month). There was little between‐trial heterogeneity (τ 2 = 0.006). For migraine disability, we meta‐analyzed the two trials that reported data in this category (Figure 5B, combining data from 103 patients). A random‐effects meta‐analysis was insufficient to permit conclusions (SMD = −0.48, 95% CI = −1.02 to 0.06, indicating too wide to indicate a difference or a lack of a clinically important difference). None of the five trials reported migraine‐specific QoL.

FIGURE 5.

FIGURE 5

Meta‐analyses of mindfulness‐based therapy in adults. (A) Migraine or headache frequency. (B) Migraine disability. B, biofeedback; CBT, cognitive behavioral therapy; CI, confidence interval; E, education; Epi, only patients with episodic migraine; HA d/w, headache days per week; HA/d, headaches per day; HA/w, headaches per week; HDI, Headache Disability Inventory; MBSR, mindfulness‐based stress reduction; Mi/w, migraine attacks per week; Mix, both episodic and chronic patients; NA, not applicable; NR, not reported; PDI, Pain Disability Inventory; R, relaxation training; SMD, standardized mean difference; TAU, treatment as usual.

Education alone

Three trials specifically examined education's impact in adults. 22 , 54 , 55 , 64 , 71 This section differs from those above on CBT, biofeedback, and relaxation training, because those sections considered any use of a single component regardless of other additional components, whereas this section examines only education when used in isolation as a way to change behavior.

For migraine/headache attack frequency, Underwood et al. 64 found a statistically significant effect against education (the effect corresponded to a difference of 0.8 migraine days/month, 95% CI = 0.2–1.4). In contrast, Rothrock et al. 55 reported only mean reductions and no dispersion, but at follow‐up, the education group had improved by six headaches per month, whereas there was zero change in the control group. Thus, the results conflict with Underwood et al. 64 Aguirrezabal et al. 22 did not report data on this outcome.

For migraine disability, all three trials found a statistically significant advantage of education. Rothrock et al. 55 reported that MIDAS scores improved statistically significantly more in the education group than in the control group (effect size not calculable). Aguirrezabal et al. 22 found that the percentage of patients who experienced at least a 50% improvement in MIDAS score was statistically significantly higher in the education group (70% vs. 35%). Underwood et al. 64 reported a statistically significant advantage of education (corresponding to a Headache Impact Test‐6 [HIT‐6] difference of 1.2 points, 95% CI = 0.1–2.3).

None of the trials reported migraine‐specific QoL.

Acceptance and commitment therapy

Two trials assessed acceptance and commitment therapy (ACT) compared to usual care for migraine prevention in adults. 35 , 66 Only one small trial (n = 35), Grazzi et al., 35 reported on headache frequency, with the authors reporting that ACT reduced migraine/headache attack frequency (−2.3 migraine days per month, 95% CI = −4.5 to −0.03).

For migraine‐related disability, Grazzi et al. 35 found no statistically significant difference for either MIDAS or HIT‐6, whereas Vasiliou et al. 66 reported a statistically significant advantage of ACT (SMD corresponding to a MIDAS difference of 18 in the direction of the ACT group, 95% CI = 4–31). Our meta‐analysis indicated insufficient evidence to permit conclusions due to a wide CI (SMD corresponding to a MIDAS difference of −3, 95% CI = −33 to 27). Neither trial reported data on migraine‐related QoL.

Hypnotherapy

Flynn 34 compared hypnotherapy (the only treatment component) with usual care. For migraine/headache attack frequency, there was no statistically significant difference (SMD corresponding to a difference of 0, 95% CI = −2 to 2). For migraine‐related disability, the trial reported a statistically significant advantage of hypnotherapy (SMD corresponding to a MIDAS difference of 42, 95% CI = 23–61). The trial did not report migraine‐specific QoL.

Adults: Comparative effectiveness

We examined 17 different comparisons in adults, but only four had sufficient evidence for conclusions (listed in four sections below). The other comparisons (listed in Table 4) were each made by a single trial, and we rated the evidence as insufficient, typically due to statistically nonsignificant effects in single small trials at high risk of bias. See the full report for details. In the sections below, we only describe outcomes that permitted conclusions (i.e., an SOE rating of low, moderate, or high).

TABLE 4.

Other comparisons with insufficient evidence.

Population Comparison Trial
Adults CBT vs. relaxation training Sorbi et al. (1986) 62 , 63
Adults Relaxation training vs. biofeedback Reich (1989) 53
Adults Relaxation training vs. MBSR meditation Wachholtz et al. (2008) 67 , 68
Adults MBSR vs. education Wells et al. (2021) 69
Adults Relaxation training vs. ACT Dindo et al. (2020) 31
Adults EMG biofeedback vs. thermal biofeedback Sargent et al. (1986) 56 , 57
Adults Relaxation training using PMR vs. relaxation using autogenic training Janssen and Neutgens (1986) 39
Adults MBSR using guided imagery of scene details vs. relaxation using guided imagery and relaxing statements Brown (1984) 25
Adults MBSR meditation spiritual vs. internally focused secular vs. externally focused secular Wachholtz et al. (2008) 67 , 68
Adults Biofeedback vs. topiramate de Tommaso and Delussi (2017) 30
Adults Relaxation training vs. topiramate Varkey et al. (2011) 65
Adults CBT + relaxation training + education vs. relaxation Klan et al. (2022) 15
Adults MBSR vs. stress management training + education Seminowicz et al. (2020) 58
Adults Adding CBT to relaxation training and education Fritsche et al. (2010) 33
Adults Adding biofeedback to CBT and relaxation training Sorbi and Tellegen (1984) 61
Adults Adding biofeedback to relaxation training Sargent et al. (1986) 56 , 57
Pediatric CBT vs. biofeedback Gerber et al. (2010) 78
Pediatric CBT vs. relaxation training Richter et al. (1986) 83
Pediatric Biofeedback vs. relaxation training vs. metoprolol Sartory et al. (1998) 84
Pediatric Adding biofeedback to relaxation training Labbé et al. (1995) 80
Pediatric Adding education to biofeedback Allen & Shriver (1998) 74

Note: See the full report for details on these comparisons.

Abbreviations: ACT, acceptance and commitment therapy; CBT, cognitive behavioral therapy; EMG, electromyographic; MBSR, mindfulness‐based stress reduction; PMR, progressive muscle relaxation.

MBSR versus education

Wells et al. 69 found that MBSR was associated with a greater improvement in migraine‐related disability, as measured by the MIDAS, compared with education (SMD = 0.70, 95% CI = 0.27–1.13). This difference corresponds to an 18‐point shift on the 0–90 MIDAS scale (95% CI = 7.18–30.06). MBSR also resulted in a greater improvement in HIT‐6 scores at 8‐week follow‐up (SMD = 0.86, 95% CI = 0.42–1.29). This equates to a HIT‐6 difference of 5.8 (95% CI = 2.81–8.64). Because there was only one trial of this outcome/comparison, the evidence was insufficient to permit a conclusion.

CBT + relaxation training versus propranolol

Holroyd et al. 38 compared a combination of CBT and relaxation training with propranolol, which had a starting dosage of 60 mg/day (titrated as tolerated or switched to nadolol). After 10 months of follow‐up, the results indicated a statistically significantly greater reduction in migraine attack frequency with the use of propranolol than with use of the combination of CBT and relaxation training. This equated to an absolute reduction of −1.40 (95% CI = −2.63 to −0.16) migraine days per month. We also note that the trial compared a combination of CBT, relaxation training, and propranolol with propranolol alone. The combination of the behavioral and pharmacologic interventions was superior to the pharmacologic intervention alone, with an SMD of −2.63 (95% CI = −3.11 to −2.14) for attack frequency.

For migraine‐specific QoL, the trial found that the combined behavioral intervention was associated with a greater improvement than with propranolol. The improvement with the behavioral intervention at the 10‐month follow‐up was both clinically important and statistically significant, with an SMD of 0.89 (95% CI = 0.49–1.28). This SMD corresponds to a difference of 12 points on the Migraine‐Specific Quality of Life Questionnaire v2.1 (MSQ; 95% CI = 7–18). The combined behavioral and pharmacologic group had an even greater improvement than pharmacologic treatment alone, with an SMD of 2.78 (95% CI = 2.28–3.28).

MBSR versus stress management training + education

For migraine attack frequency, Seminowicz 58 found a statistically significant difference favoring MBSR over stress management training + education (SMD = −0.64, 95% CI = −1.06 to −0.23, corresponding to a difference in migraine days/month of −2.1, 95% CI = −3.5 to −0.8).

CBT + relaxation training versus biofeedback

For migraine attack frequency, Kropp et al. 43 found a statistically significant difference favoring biofeedback (SMD = −0.69, 95% CI = −1.34 to −0.03), corresponding to a difference in migraine days/month of −2.2 (95% CI = −4.4 to −0.1).

Adults: Component contributions

Both comparisons in this category (the effect of adding CBT, and the effect of adding biofeedback) were insufficient to permit conclusions. See Table 4 and the full report for details.

Pediatric: Effectiveness

Cognitive behavioral therapy

We included six trials that measured the effectiveness of CBT for children/adolescents. Our meta‐analysis of four trials of migraine/headache attack frequency (Figure 6A, combining data from 112 patients) was inconclusive (SMD = −0.29, 95% CI = −0.66 to 0.09), as the meta‐analytic CI showed neither a benefit of doing CBT nor a lack of benefit of doing CBT. The other two trials 73 , 82 were not meta‐analyzable, and both reported statistically nonsignificant effects. Our meta‐analysis of two trials of migraine disability (Figure 6B, combining data from 53 patients) was inconclusive (SMD = −0.24, 95% CI = −1.05 to 0.57). One other trial reported this outcome, 76 and the two groups' pre–post CIs largely overlapped, suggesting no statistically significant difference. Only Cottrell et al. (2007) 76 reported migraine‐specific QoL (MSQ for adolescents), and both groups had improved, with no statistical comparison reported between groups.

FIGURE 6.

FIGURE 6

Meta‐analyses of cognitive behavioral therapy in children/adolescents. (A) Migraine or headache frequency. (B) Migraine disability. B, biofeedback; CBT, cognitive behavioral therapy; CI, confidence interval; E, education; Epi, only patients with episodic migraine; HA d/w, headache days per week; HA/2 w, headaches per 2‐week period; HA/w, headaches per week; Mi/w, migraine attacks per week; Mix, both episodic and chronic patients; PedMIDAS, Pediatric Migraine Disability Assessment; R, relaxation training; SMD, standardized mean difference; TAU, treatment as usual.

Biofeedback

We included four trials that measured the effectiveness of biofeedback for children/adolescents. All four reported migraine/headache attack frequency, but only two had calculable effect sizes, which were meta‐analyzed (Figure 7, combining data from 54 patients). The resulting SMD (−0.01, 95% CI = −0.55 to 0.52, τ 2 = 0) was inconclusive. Neither of the other two trials, Labbé 80 and Labbé and Williamson, 79 reported dispersion, but both found statistically significantly lower frequencies after treatment in the biofeedback group. One other trial reported this outcome, 76 and the two groups' pre–post CIs largely overlapped, suggesting no statistically significant difference. Only Cottrell et al. 76 reported migraine‐specific QoL (MSQ for adolescents), and both groups had improved, with no statistical comparison reported between groups.

FIGURE 7.

FIGURE 7

Meta‐analyses of biofeedback in children/adolescents. (A) Migraine or headache frequency. (B) Migraine disability. B, biofeedback; CBT, cognitive behavioral therapy; CI, confidence interval; E, education; Epi, only patients with episodic migraine; HA/2 w, headaches per 2‐week period; Mi/w, migraine attacks per week; NA, not applicable; R, relaxation training; SMD, standardized mean difference.

Relaxation training

We included nine trials that measured the effectiveness of relaxation training for children/adolescents. For migraine/headache attack frequency, we meta‐analyzed five trials of relaxation in children/adolescents (Figure 8A, combining data from 154 patients). The result was inconclusive (SMD = −0.13, 95% CI = −0.48 to 0.21). Three other trials reported data on this outcome. Two 73 , 79 found a statistically nonsignificant effect. Labbé 80 did not report sufficient information for the calculation of effect sizes but did report that a three‐group test (relaxation training only, biofeedback + relaxation training, waitlist control) was statistically significant. The relaxation‐only group had reduced the average migraine frequency from 3.67 at baseline to 0.38 at 1 month after the end of treatment, whereas the waitlist control group had a baseline mean of 3.18 with a 1‐month follow‐up mean of 2.17.

FIGURE 8.

FIGURE 8

Meta‐analyses of relaxation training in children/adolescents. (A) Migraine or headache frequency. (B) Migraine disability. B, biofeedback; CBT, cognitive behavioral therapy; CI, confidence interval; E, education; Epi, only patients with episodic migraine; HA d/w, headache days per week; HA/2 w, headaches per 2‐week period; HA/w, headaches per week; Mi/w, migraine attacks per week; Mix, both episodic and chronic patients; PedMIDAS, Pediatric Migraine Disability Assessment; R, relaxation training; SMD, standardized mean difference; TAU, treatment as usual.

Two trials reported enough information for calculable effect sizes of migraine disability, which we meta‐analyzed (Figure 8B, combining data from 53 patients). The result was inconclusive (SMD = −0.24, 95% CI = −1.05 to 0.57, τ 2 = 0.18, corresponding to a MIDAS difference of 6 points, 95% CI = −28 to 15). One other trial reported this outcome, 76 and the two groups' pre–post CIs largely overlapped, suggesting no statistically significant difference. Only Cottrell et al. 76 reported migraine‐specific QoL (MSQ for adolescents), and both groups had improved, with no statistical comparison reported between groups.

Pediatric: Comparative effectiveness

CBT + biofeedback + relaxation training versus education

Powers et al. 81 compared a combination of CBT, biofeedback, and relaxation training with education alone (both groups received amitriptyline). For migraine attack frequency, there was a statistically significant difference between groups (corresponding to a difference in migraine days per month of −1.6, 95% CI = −2.7 to −0.4). The same advantage occurred in migraine disability as measured by Pediatric Migraine‐Specific Disability Assessment (difference of −14, 95% CI = −25 to −3). Use of amitriptyline in both groups may have affected the observed difference between treatment groups.

All other effectiveness comparisons for children/adolescents were insufficient to permit conclusions (see Table 4 and the full report).

Pediatric: Component contributions

Both comparisons in this category (the effect of adding biofeedback and the effect of adding education) were insufficient to permit conclusions. See Table 4 and the full report for details.

DISCUSSION

Behavioral therapies can be used as standalone treatments or combined with other types of therapies (e.g., pharmaceutical, neuromodulation) for migraine prevention. Some patients may have contraindications to medication or a preference against them (potentially due to a desire to avoid the risk of adverse effects and/or to general beliefs about pharmaceuticals). Thus, behavioral interventions represent a critical alternative. We included 50 randomized trials with adults and 13 with children and adolescents published since 1978 that provided data on various behavioral interventions for migraine prevention.

The trials varied greatly in the specific behavioral component(s) employed, the nature of control or comparison groups used, and the outcomes assessed. The high variation presented numerous analytic challenges, but in consultation with experts, we chose a consistent strategy to yield a comprehensive portrait of the evidence. Our evidence‐based conclusions appear in Table 5.

TABLE 5.

Summary of conclusions.

Comparison Outcome Amount of evidence Evidence favors Estimated difference SOE
Adults: behavioral intervention that includes CBT vs. control Migraine/headache attack frequency 10 RCTs 15 , 26 , 29 , 38 , 41 , 42 , 54 , 59 , 60 , 70 (all 10 in meta‐analysis) CBT component 1.1 fewer migraine days/month (95% CI = 0.4–1.8) Low
Adults: behavioral intervention that includes relaxation training vs. control Migraine/headache attack frequency 17 RCTs 15 , 23 , 26 , 28 , 32 , 36 , 37 , 38 , 41 , 42 , 46 , 48 , 50 , 51 , 54 , 56 , 70 (13 in meta‐analysis) Relaxation training component 1 fewer migraine day/month (95% CI = 0.4–1.6) Low
Adults: Behavioral intervention that includes MBSR vs. control Migraine/headache attack frequency 5 RCTs 25 , 29 , 42 , 59 , 60 (all 5 in meta‐analysis) MBSR component 1 fewer migraine day/month (95% CI = 0.2–1.8) Low
Adults: education alone vs. control Migraine‐related disability 3 RCTs 22 , 55 , 64 (no meta‐analysis) Education alone NC Low
Adults: MBSR vs. education Migraine‐related disability 1 RCT 69 MBSR 18 points on the MIDAS (95% CI = 7–30) Low
Adults: CBT + relaxation training vs. propranolol Migraine/headache attack frequency 1 RCT 38 Propranolol 1.4 fewer migraine day/month (95% CI = 0.2–2.6) Low
Adults: CBT + relaxation training vs. propranolol Migraine‐specific QoL 1 RCT 38 CBT + relaxation training 12 points on the MSQ scale (95% CI = 7–18) Low
Adults: MBSR vs. stress management training + education Migraine/headache attack frequency 1 RCT 58 MBSR 2 fewer migraine days/month (95% CI = 0.8–3.5) Low
Adults: CBT + relaxation training vs. biofeedback Migraine/headache attack frequency 1 RCT 43 Biofeedback 2.2 fewer migraine days/month (95% CI = 0.1–4.4) Low
Pediatric: CBT + biofeedback + relaxation training vs. education Migraine/headache attack frequency 1 RCT 81 CBT + biofeedback + relaxation training 1.6 fewer migraine days/month (95% CI = 0.4–2.7) Low
Pediatric: CBT + biofeedback + relaxation training vs. education Migraine‐related disability 1 RCT 81 CBT + biofeedback + relaxation training 14 points on the PedMIDAS (95% CI = 3–25) Low

Abbreviations: CBT, cognitive behavioral therapy; CI, confidence interval; MBSR, mindfulness‐based stress reduction; MIDAS, Migraine Disability Assessment; MSQOL, migraine‐specific quality of life; MSQ, Migraine‐Specific Quality of Life Questionnaire v2.1; NC, not calculable; PedMIDAS, Pediatric Migraine Disability Assessment; QoL, quality of life; RCT, randomized controlled trial; SOE, strength of the evidence.

Notably, we found sufficient evidence for the effectiveness of some behavioral interventions for migraine prevention. Specifically, in adults, low SOE suggests that behavioral interventions that include any of three components (CBT, relaxation training, and/or mindfulness‐based therapies) may lower migraine/headache attack frequency to a greater extent than usual care. The estimated reduction was approximately 1 migraine day/month but could be as low as 0.2 days/month or as high as 1.8 days/month. We also found that education alone may improve migraine‐related disability, based on three trials (SOE: low; effect size not estimable due to insufficient reporting). For children/adolescents, the evidence was sufficient to conclude that CBT + biofeedback + relaxation training may reduce migraine attack frequency and disability more than education alone (SOE: low).

A reduction of 1 migraine day/month was the minimum clinically important difference identified a priori by our technical experts. Our point estimates for this outcome, therefore, were on the border of clinical importance. When we examined direct evidence comparing behavioral interventions to medication, we found that two studies 30 , 65 reported inconclusive data comparing biofeedback or relaxation to topiramate, another study 45 reported inconclusive data comparing biofeedback to propranolol, amitriptyline, and their combination, and a fourth study 38 had mixed results. As context, we note that a recent systematic review found that calcitonin gene‐related peptide antagonists, a well‐established class of medications for migraine prevention, reduced migraine days/month by only approximately 2 migraine days/month (estimated advantage beyond placebo). 86

Beyond attack frequency, it is important to determine whether behavioral interventions also reduce disability and/or improve quality of life. Many trials reported disability data, typically using the MIDAS and/or HIT‐6. However, the data were too sparse and/or inconsistent to permit conclusions (see Figures 2B, 3B, 4B, and 5B). Migraine‐specific QoL data were less often reported and were also inconclusive (see Figures 2C and 4C). Thus, future trials are needed to assess the impact of behavioral interventions on these important outcomes. Many behavioral trials have measured additional constructs such as improvements in depressive and anxious symptomology, self‐efficacy, catastrophizing, locus of control, stigma, and other aspects of functioning and well‐being; these were not within scope for this review.

“Low” SOE ratings mean we have limited confidence in the methodology and/or results of trials included in our analyses, primarily due to concerns about study biases (e.g., differential expectations that are challenging to control for in the context of behavioral interventions, loss to follow‐up), reporting, and/or the reliability of findings from small or inconsistent studies. The “low” rating should not be interpreted to mean that there is only a small benefit or no benefit.

Our findings require a few important qualifications. The first concerns our analyses for effectiveness based on “any presence of this component.” This nonspecific but consistent approach allowed us to indirectly estimate the effectiveness of a given component, but other components in the packages may also have influenced outcomes. For example, interventions including CBT were primarily composed of CBT combined with other behavioral components; however, a 2010 trial by Holroyd et al. 38 included two behavioral intervention arms, both of which received CBT and relaxation training, and one of which also received propranolol. Thus, for CBT, these findings not only reflect synthesis across trials with variable types of behavioral components but also reflect the impact of relaxation training and propranolol, a pharmacologic intervention estimated to reduce migraine frequency by 0.8 days/month. 87

Second, few trials compared intervention with attention control. For example, although we included 11 trials that included a CBT component, only one 42 of them had an attention control group, whereas the other 10 compared CBT to waitlist or usual care or no intervention. It is difficult to develop and administer an active behavioral control condition that does not have any therapeutic benefit, but future trials should explore control groups that avoid the influence of expectations. Regarding attention controls, Rains and Penzien 88 discussed potential “psychological placebos” or “pseudotherapies” to use as inactive controls, the difficulty in credibly implementing them, and issues with critical appraisal of behavioral trials focusing on blinding. They criticized the Jadad scale in particular, and that points on this scale are immediately lost due when blinding is not possible. Our risk‐of‐bias approach, by contrast, utilized a more recently developed scale 20 that focused more on the underlying issues blinding is trying to prevent, rather than just to answer whether it was blinded. These issues mostly involve differential expectations of benefit with patient‐provided subjective outcomes in an unblinded study. When the control group was simply on a waitlist, they knew they were not being treated, whereas the experimental group knew they were receiving a potentially beneficial treatment, and the subjectively reported outcomes may have been better in the latter group partially as a result of this differential expectation. By contrast, when the control was receiving a different active treatment in an active comparison study, such differential expectations are less of a concern (and there were many active‐comparison trials for which we did not downgrade risk of bias due to this particular concern). Other risk‐of‐bias concerns (e.g., inadequately described randomization process, lack of concealment of allocation, incomplete data) were still frequent.

Third, we recognize that MBCT is primarily a mindfulness‐based treatment, combined with elements of cognitive therapy, and not a full CBT protocol. Thus, one might argue that it should not have been included in the CBT analyses. However, our effectiveness analyses did not incorporate the time or intensity of each component within a treatment package. Thus, for consistency with how we analyzed other treatment packages, we included MBCT in both the mindfulness analyses and the CBT analyses. Fourth, we only included randomized trials, and there may have been well‐controlled nonrandomized comparisons that would bolster the overall evidence.

Our analysis and intervention classification were further complicated by the varying terminology used by different researchers since 1975. Researchers could have used different terms for the same component, or the same term for different components, and may have included components that they did not list in the publication. We categorized guided imagery as an MBSR intervention for adults on the advice of one expert, and this may have affected outcomes. Another limitation of the date restriction (ours was 1975 and later) is that some earlier trials may have been conducted according to trial standards at the time, and the early trial results convinced most practitioners that no more trials were necessary. This would result in few trials captured by our 1975+ search, thereby reducing the chance of reaching any conclusions about early treatments. This problem may have contributed to our judgments of insufficient evidence on biofeedback. Note, however, that even after 1975, we included 13 biofeedback trials with inactive controls. Eligibility criteria were also limited to countries rated as very high on the Human Development Index, which enhance applicability of findings to those settings but excludes data from potentially relevant countries. Beyond a comprehensive search, we did not contact authors for more information about their publications or for unpublished or additional data.

Intervention intensity (e.g., number of sessions per week, number of hours per session) varied widely across the included trials (see the full report for details), and our analyses did not consider whether effect sizes varied by intensity. If a study had “underdosed” patients (which in this context would mean that not enough behavioral sessions were completed), that could explain the insufficiency of evidence on whether the treatment worked. We categorized educational interventions, when they were intended to influence behavior and/or ways of thinking, as an active intervention (not as an inactive control group), and some may feel that “behavioral interventions” should not encompass any purely educational intervention. However, we defined behavioral interventions as nonpharmacologic strategies intended to modify behavior and/or ways of thinking, which was based on consultation with numerous experts in the field. We note that some trials had used passive education (i.e., not intended to influence behavior or ways of thinking), and we categorized those as inactive control. Finally, race and ethnicity were consistently underreported, and such reporting would enhance efforts to improve representativeness and reduce health disparities.

Conclusions

Our analyses suggest that for adults, CBT, relaxation training, and mindfulness‐based therapies may each reduce the frequency of migraine/headache attacks, and education may reduce disability. For youth, CBT + biofeedback + relaxation training may reduce migraine attack frequency and disability. The literature is comprised mostly of multicomponent trials with smaller sample sizes than most pharmacologic efficacy studies, which were not reported according to current reporting guidelines but may have followed recommendations or norms for studies of behavioral therapies in place at the time. Future research should enroll children/adolescents, standardize intervention components when possible to improve reproducibility, although smart study designs may also be very helpful in personalizing therapies, use noninterventional comparison groups when possible (such as attention control) that control for expectation confounds, enroll and retain larger samples including multisite studies, study digital and telehealth modes of care delivery, consider economic outcomes from patient perspectives, and follow current most rigorous guidelines and standards for data reporting. Future funding should be established to test behavioral therapies with rigorous designs, and methodological and reporting guidelines for the conduct of behavioral clinical trials should be updated to match contemporary expectations while still taking into consideration the unique issues and needs of behavioral trials.

AUTHOR CONTRIBUTIONS

Jonathan R. Treadwell: Data curation; formal analysis; funding acquisition; investigation; methodology; project administration; supervision; validation; visualization; writing – original draft; writing – review and editing. Amy Y. Tsou: Conceptualization; data curation; funding acquisition; investigation; methodology; supervision; validation; visualization; writing – review and editing. Benjamin Rouse: Conceptualization; data curation; formal analysis; investigation; methodology; validation; visualization; writing – original draft; writing – review and editing. Ilya Ivlev: Data curation; formal analysis; investigation; methodology; validation; visualization; writing – original draft; writing – review and editing. Julie Fricke: Data curation; formal analysis; investigation; methodology; validation; visualization; writing – original draft; writing – review and editing. Dawn C. Buse: Conceptualization; supervision; writing – review and editing. Scott W. Powers: Conceptualization; supervision; writing – review and editing. Mia Minen: Conceptualization; supervision; writing – review and editing. Christina L. Szperka: Conceptualization; supervision; writing – review and editing. Nikhil K. Mull: Conceptualization; data curation; funding acquisition; investigation; methodology; project administration; supervision; validation; writing – original draft; writing – review and editing.

FUNDING INFORMATION

This report is based on research conducted by the ECRI‐Penn Evidence‐Based Practice Center under contract to Agency for Healthcare Research and Quality (AHRQ), Rockville, Maryland (contract 75Q80120D00002/Task Order 75Q80122F32006). Patient‐Centered Outcomes Research Institute (PCORI) funded the report (PCORI publication 2023‐SR‐03). Funders were kept informed throughout the review process regarding the scope and the findings. The findings and conclusions are those of the authors, who are responsible for the article's contents; the findings and conclusions do not necessarily represent the views of AHRQ or PCORI. Therefore, no statement in this report should be construed as an official position of PCORI, AHRQ, or the US Department of Health and Human Services.

CONFLICT OF INTEREST STATEMENT

Jonathan R. Treadwell, Amy Y. Tsou, Ilya Ivlev, Julie Fricke, Nikhil K. Mull, and Benjamin Rouse declare no conflicts of interest. Dawn C. Buse has been a consultant to Amgen, AbbVie, Biohaven, Collegium, Lilly, Lundbeck, Theranica, and Teva. She is a part time employee of Vector Psychometric Group. Scott W. Powers provides scientific consultation to Theranica. Mia Minen is a codeveloper of the RELAXaHEAD application, co‐owned by NYU and Irody. Christina L. Szperka or her institution have received compensation for serving as a consultant for Teva, Lundbeck, AbbVie, and Impel. She has received personal compensation for serving on a data safety monitoring board for Eli Lilly and Upsher‐Smith.

Supporting information

File S1.

HEAD-65-668-s002.docx (89.4KB, docx)

File S2.

HEAD-65-668-s001.docx (170.2KB, docx)

File S3.

HEAD-65-668-s003.docx (213.3KB, docx)

ACKNOWLEDGMENTS

We extend our gratitude to our AHRQ project order officers Suchitra Iyer, PhD, and Holly Wethington, PhD, our PCORI program officer Rachael Robinson, MPH, our EPC associate editor Suzanne Hempel, PhD, and clinical experts Elizabeth Seng, PhD, and Emily Law, PhD. Our technical expert panel (Karen Lee, MD, Richard B. Lipton, MD, Serena Orr, MD, Michael Oshinsky, PhD, Tonya Palermo, PhD, Jason Sico, MD, Todd Smitherman, PhD) and peer reviewers (Steven Baskin, PhD, Larry Charleston, MD, Michelle Clementi, PhD, Christopher Gottschalk, MD, Karen Lee, MD, Richard B. Lipton, MD, Tonya Palermo, PhD, Terri Pigott, PhD, and Jason Sico, MD) provided helpful advice (their inclusion in this list does not imply endorsement of any statements in this article). Finally, we appreciate the assistance of ECRI employees Lindsey Miller, (project management), Kristy McShea, MLS (searching), Helen Dunn, MS (database management), and Katherine Donahue (references and document procurement).

Treadwell JR, Tsou AY, Rouse B, et al. Behavioral interventions for migraine prevention: A systematic review and meta‐analysis. Headache. 2025;65:668‐694. doi: 10.1111/head.14914

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