Biofeedback EMG alternative therapy for chronic low back pain: Study protocol of a pilot randomized controlled trial

BACKGROUND

Chronic pain affects about 100 million U.S. adults, with chronic low back pain (CLBP) cited as the most prevalent type. Although there is evidence that non-pharmacological therapies seem to be effective for treating low back pain, there is limited evidence of the effectiveness of EMG biofeedback with non-specific chronic low back pain (NCLBP). The purpose of this study is, therefore, to determine the efficacy of a portable EMG biofeedback device on pain in individuals with CLBP.

METHODS/DESIGN

This study is a prospective, single-center, assessor-blind, two-arm, parallel randomized controlled trial to be conducted at Brigham and Women's Hospital, Boston, MA. Eighty patients with CLBP will be randomized in a 2:1 ratio to receive sEMG-BF (surface EMG biofeedback) or continued care (no intervention). All participants will receive treatment virtually weekly for 8 weeks. The primary outcome will be pain intensity (Brief Pain Inventory). The secondary outcomes will include pain interference (Brief Pain Inventory), disability (The Oswestry Disability Index (ODI)), anxiety and depression (Hospital Anxiety and Depression Scale). All outcomes will be assessed at baseline, immediately post-intervention, and 3 months follow-up.

CONCLUSION

To our knowledge, this study will be the first powered randomized controlled trial to compare the effectiveness of a virtual sEMG-BF protocol specifically designed for CLBP. The outcome of the study may provide evidence for the effectiveness of biofeedback using digital therapeutics to relieve pain in individuals with CLBP.

TRIAL REGISTRATION

Clinical Trials Registry (http://ClinicalTrials.gov Identifier: NCT04607460). Registered on October 29, 2020.

Efficacy of Biofeedback in Chronic back Pain: a Meta-Analysis

PURPOSE

The aims of the present analysis were to investigate the short- and long-term efficacy and treatment moderators of biofeedback as a psychological treatment option for chronic back pain.

METHOD

A literature search using PubMed, PsycINFO, and the Cochrane Library identified 21 eligible studies including 23 treatment conditions and 1062 patients.

RESULTS

Meta-analytic integration resulted in a significant small-to-medium effect size for pain intensity reduction (Hedges' g = 0.60; 95 % confidence interval (CI) 0.44, 0.76) that proved to be stable with a significant small-to-large effect size (Hedges' g = 0.62; 95 % CI 0.40, 0.84) over an average follow-up phase of 8 months. Biofeedback also proved to be effective in reducing depression (Hedges' g = 0.40; 95 % CI 0.27, 0.52), disability (Hedges' g = 0.49; 95 % CI 0.34, 0.74), reduction of muscle tension (EMG; Hedges' g = 0.44; 95 % CI 0.22, 0.65), and improving cognitive coping (Hedges' g = 0.41; 95 % CI 0.26, 0.57). These effects remained comparatively stable at follow-up and for controlled studies only. Moderator analyses revealed longer biofeedback treatments to be more effective for reducing disability and a greater proportion of biofeedback in the treatment to be more effective for reducing depression. Publication bias analyses demonstrated the consistency of these effects.

CONCLUSION

It is concluded that biofeedback treatment can lead to improvements on various pain-related outcomes in the short and long terms, both as a standalone and as an adjunctive intervention.

Efficacy of EMG- and EEG-Biofeedback in Fibromyalgia Syndrome: A Meta-Analysis and a Systematic Review of Randomized Controlled Trials

Objectives. Biofeedback (BFB) is an established intervention in the rehabilitation of headache and other pain disorders. Little is known about this treatment option for fibromyalgia syndrome (FMS). The aim of the present review is to integrate and critically evaluate the evidence regarding the efficacy of biofeedback for FMS. Methods. We conducted a literature search using Pubmed, clinicaltrials.gov (National Institute of Health), Cochrane Central Register of Controlled Trials, PsycINFO, SCOPUS, and manual searches. The effect size estimates were calculated using a random-effects model. Results. The literature search produced 123 unique citations. One hundred sixteen records were excluded. The meta-analysis included seven studies (321 patients) on EEG-Biofeedback and EMG-Biofeedback. In comparison to control groups, biofeedback (BFB) significantly reduced pain intensity with a large effect size (g = 0.79; 95% CI: 0.22–1.36). Subgroup analyses revealed that only EMG-BFB and not EEG-BFB significantly reduced pain intensity in comparison to control groups (g = 0.86; 95% CI: 0.11–1.62). BFB did not reduce sleep problems, depression, fatigue, or health-related quality of life in comparison to a control group. Discussion. The interpretation of the results is limited because of a lack of studies on the long-term effects of EMG-BFB in FMS. Further research should focus on the long-term efficacy of BFB in fibromyalgia and on the identification of predictors of treatment response.

Two psychological interventions are effective in severely disabled, chronic back pain patients: a randomised controlled trial

BACKGROUND

Many pain patients appreciate biofeedback interventions because of the integration of psychological and physiological aspects. Therefore we wanted to investigate in a sample of chronic back pain patients whether biofeedback ingredients lead to improved outcome of psychological interventions.

METHOD

One hundred and twenty-eight chronic back pain patients were randomly assigned to cognitive-behavioural therapy (CBT), cognitive-behavioural therapy including biofeedback tools (CBT-B) or waitlist control (WLC). The sample was recruited from a highly disabled group including many patients with low education status and former back surgeries. Measures on pain, physical functioning, emotional functioning, coping strategies and health care utilisation were taken at pretreatment, posttreatment and 6 months of follow-up.

RESULTS

The results indicated significant improvements on most outcome measures for CBT-B and CBT in comparison to WLC. CBT-B and CBT were equally effective (e.g. ITT effect sizes for pain intensity: CBT-B, 0.66 (95% CI 0.39-0.95); CBT, 0.60 (95% CI 0.33-0.87)).

CONCLUSION

In conclusion, biofeedback ingredients did not lead to improved outcome of a psychological intervention. Cognitive-behavioural treatment as a "package" of respondent, operant and cognitive interventions was effective for ameliorating pain-related symptoms for chronic back pain patients treated in an outpatient setting. The high treatment acceptability associated with biofeedback ingredients can also be achieved with pure psychological interventions.

Muscular reactivity and specificity in chronic back pain patients

OBJECTIVE

To compare the muscular reactivity of patients with chronic back pain (CBP) to different psychological stressors with the reactions of healthy controls. We also investigated the specificity of muscular reaction near the site of pain in comparison to distal sites. The symptom-specificity model of chronic pain postulates that increased muscle tension in CBP patients may be responsible for the development and maintenance of chronic pain.

METHOD

We studied a total of 54 CBP patients with musculoskeletal pain of the lower back, midback, or neck and 62 healthy controls, matched with CPB patients. Muscle tension and skin conductance level (SCL) were assessed. The four experimental conditions included back focusing, a personally relevant stressor, a cognitive stressor, and a social stressor.

RESULTS

CBP patients showed patterns of higher muscular reactivity in the lower back region for chronic low back pain (CLBP) patients during the exposure to a personally relevant stressor, a cognitive stressor, and a social stressor. Additionally, CLBP patients showed specific muscular responses in the lower back.

CONCLUSION

The results support the assumptions made by the symptom-specificity model of CBP, but only for lower back, not for midback and neck. Treatment programs of CLBP should include specific combined relaxation and stress management components.