USE OF NEUROFEEDBACK AND MINDFULNESS TO ENHANCE RESPONSE TO HYPNOSIS TREATMENT IN INDIVIDUALS WITH MULTIPLE SCLEROSIS: Results From a Pilot Randomized Clinical Trial

The Role of Electroencephalogram-Assessed Bandwidth Power in Response to Hypnotic Analgesia

Research supports the efficacy of therapeutic hypnosis for reducing acute and chronic pain. However, little is known about the mechanisms underlying these effects. This paper provides a review of the evidence regarding the role that electroencephalogram-assessed bandwidth power has in identifying who might benefit the most from hypnotic analgesia and how these effects occur. Findings are discussed in terms of the slow wave hypothesis, which posits that brain activity in slower bandwidths (e.g., theta and alpha) can facilitate hypnosis responsivity. Although the extant research is limited by small sample sizes, the findings from this research are generally consistent with the slow wave hypothesis. More research, including and especially studies with larger sample sizes, is needed to confirm these preliminary positive findings.

Gamma power and beta envelope correlation are potential neural predictors of deep hypnosis

Hypnosis is a psychological intervention that is commonly used to enhance the effectiveness of therapeutic suggestions. Despite extensive fascination and study, the neural mechanisms behind hypnosis remain elusive. In the current study, we undertook a systematic exploration of these neural correlates. We first extracted well-studied neurophysiological features from EEG sensors and source-localized data using spectral analysis and two measures of functional connectivity: weighted phase lag index (wPLI) and power envelope correlation (PEC). Next, we developed classification models that predicted self-rated hypnotic experience based on the extracted feature sets. Our findings reveal that gamma power computed on sensor-level data and beta PEC computed between source-localized brain networks are the top predictors of hypnosis depth. Further, a SHapley Additive exPlanations (SHAP) analysis suggested reduced gamma power in the midline frontal area and increased beta PEC between interhemispheric Dorsal Attention Networks (DAN) contribute to the hypnotic experience. These results broaden our understanding of the neural correlates of deep hypnosis, highlighting potential targets for future research. Moreover, this study demonstrates the potential of using predictive models in understanding the neural underpinnings of self-reported hypnotic depth, offering a template for future investigations.

Behavioral Interventions to Improve Sleep Outcomes in Individuals With Multiple Sclerosis: A Systematic Review

BACKGROUND

Sleep disturbances are common in individuals with multiple sclerosis. The objective of this systematic review was to determine effective behavioral interventions to improve their sleep.

METHODS

Literature searches were performed in December 2021 in Ovid MEDLINE, Elsevier Embase, and Web of Science, along with hand searching for grey literature and cited references. Four reviewers independently reviewed titles and abstracts (2 reviewers for each article; n = 830) and the full-text articles (n = 81). Consensus for inclusion was achieved by a fifth reviewer. Thirty-seven articles were eligible for inclusion. Four reviewers extracted relevant data from each study (2 reviewers for each article) using a standard data extraction table. Consensus was achieved for completeness and accuracy of the data extraction table by a fifth reviewer. The same 4 reviewers conducted a quality appraisal of each article to assess the risk of bias and quality of the articles, and consensus was achieved by a fifth reviewer as needed. Descriptive data were used for types of interventions, sleep outcomes, results, and key components across interventions.

RESULTS

Overall, the cognitive behavioral therapy for insomnia, cognitive behavioral therapy/psychotherapy, and education/self-management support interventions reported positive improvements in sleep outcomes. Quality appraisal scores ranged from low to high, indicating potential for bias.

CONCLUSIONS

Variability in the intervention type, intervention dose, outcomes used, training/expertise of interventionist, specific sample, and study quality made it difficult to compare and synthesize results. Further research is necessary to demonstrate the efficacy of most of the interventions.

Real-time assessment of hypnotic depth, using an EEG-based brain-computer interface: a preliminary study

OBJECTIVE

Hypnosis can be an effective treatment for many conditions, and there have been attempts to develop instrumental approaches to continuously monitor hypnotic state level ("depth"). However, there is no method that addresses the individual variability of electrophysiological hypnotic correlates. We explore the possibility of using an EEG-based passive brain-computer interface (pBCI) for real-time, individualised estimation of the hypnosis deepening process.

RESULTS

The wakefulness and deep hypnosis intervals were manually defined and labelled in 27 electroencephalographic (EEG) recordings obtained from eight outpatients after hypnosis sessions. Spectral analysis showed that EEG correlates of deep hypnosis were relatively stable in each patient throughout the treatment but varied between patients. Data from each first session was used to train classification models to continuously assess deep hypnosis probability in subsequent sessions. Models trained using four frequency bands (1.5-45, 1.5-8, 1.5-14, and 4-15 Hz) showed accuracy mostly exceeding 85% in a 10-fold cross-validation. Real-time classification accuracy was also acceptable, so at least one of the four bands yielded results exceeding 74% in any session. The best results averaged across all sessions were obtained using 1.5-14 and 4-15 Hz, with an accuracy of 82%. The revealed issues are also discussed.

Resting-state EEG and MEG biomarkers of pathological fatigue - A transdiagnostic systematic review

Fatigue is a highly prevalent and disabling symptom of many disorders and syndromes, resulting from different pathomechanisms. However, whether and how different mechanisms converge and result in similar symptomatology is only partially understood, and transdiagnostic biomarkers that could further the diagnosis and treatment of fatigue are lacking. We, therefore, performed a transdiagnostic systematic review (PROSPERO: CRD42022330113) of quantitative resting-state electroencephalography (EEG) and magnetoencephalography (MEG) studies in adult patients suffering from pathological fatigue in different disorders. Studies investigating fatigue in healthy participants were excluded. The risk of bias was assessed using a modified Newcastle-Ottawa Scale. Semi-quantitative data synthesis was conducted using modified albatross plots. After searching MEDLINE, Web of Science Core Collection, and EMBASE, 26 studies were included. Cross-sectional studies revealed increased brain activity at theta frequencies and decreased activity at alpha frequencies as potential diagnostic biomarkers. However, the risk of bias was high in many studies and domains. Together, this transdiagnostic systematic review synthesizes evidence on how resting-state M/EEG might serve as a diagnostic biomarker of pathological fatigue. Beyond, this review might help to guide future M/EEG studies on the development of fatigue biomarkers.

Systematic Review of Hypnotherapy for Sleep and Sleep Disturbance

Sleep disturbance can negatively affect physical and psychological health. Hypnotherapy may be effective for improving sleep with fewer side effects than other treatments. The purpose of this systematic review is to comprehensively identify studies and evidence regarding hypnotherapy for sleep disturbances. Four databases were searched to identify studies examining the use of hypnotherapy for sleep in adult populations. The search yielded 416 articles, of which 44 were included. Qualitative data analysis revealed that 47.7% of the studies showed positive results regarding the impact of hypnotherapy for sleep, 22.7% showed mixed results, and 29.5% showed no impact. A subset of 11 studies that set sleep disturbance as an inclusion criterion and included suggestions for sleep were examined separately and had more favorable results, such that 54.5% showed positive results, 36.4% showed mixed results, and 9.1% showed no impact results. Hypnotherapy appears to be a promising treatment for sleep disturbance. Future studies should report effect sizes, adverse events, and hypnotizability and include sleep-specific suggestions, standardized measures, and descriptions of hypnotherapy intervention procedures.

Effect of neurofeedback therapy on neurological post-COVID-19 complications (A pilot study)

Objective

Anxiety, fatigue and depression are common neurological manifestations after COVID-19. So far, post-COVID complications were treated by rehabilitation, oxygen therapy and immunotherapy. Effects of neurofeedback on post-COVID complications and their potential interrelatedness have not been studied yet. In this pilot study, we investigated the effectiveness of neurofeedback (Othmer method) for treatment of fatigue, anxiety, and depression after COVID-19.

Methods

10 participants met inclusion criteria for having positive anamnesis of at least one of the following complications following COVID-19: fatigue, anxiety, and depression which were measured by questionnaires. ANOVA was used for calculating differences in questionnaire score before and after neurofeedback. Pearson’s correlation coefficient was used to calculate correlations between anxiety, depression and fatigue.

Results

After five neurofeedback sessions, there came to significant reduction of severity of post-COVID anxiety and depression persisting for at least one month. Effect of neurofeedback on fatigue was insignificant. Severity of anxiety, fatigue and depression as well as reductions in depression and fatigue were positively correlated with each other.

Conclusion

These findings showed effectiveness neurofeedback for reducing anxiety and depression after COVID-19 and for studying correlations between neurological complications after COVID-19. However, since our pilot clinical trial was open-label, it is hard to differentiate between neurofeedback-specific and unspecific effects on our participants. Future randomized controlled trials with more robust sample are necessary to investigate feasibility of neurofeedback for post-COVID neurological complications. The study has identification number trial ID ISRCTN49037874 in ISRCTN register of clinical trials (Retrospectively registered).

Effectiveness of non-pharmacological rehabilitation interventions in pain management in patients with multiple sclerosis: Systematic review and meta-analysis

BACKGROUND

Multiple sclerosis (MS) is a progressive inflammatory and autoimmune neurological disease caused by inflammation and demyelination of the central nervous system. Pain is a typical symptom of central nervous system demyelination, affecting 63% of adults with MS. Recently, the role of non-pharmacological pain management in patients is growing because the non-pharmacological interventions are considered safe, affordable, easy, and accessible. However, to date, no systematic reviews or meta-analyses have comprehensively examined the therapeutic effects of the variety of non-pharmacological therapeutic interventions in the management of pain in patients with MS.

OBJECTIVE

The study aimed to conduct a systematic review with meta-analysis to assess the effectiveness of the non-pharmacological rehabilitation interventions in pain management in patients with MS.

METHODS

A comprehensive search using PubMed, Cochrane, and Science Direct databases was performed and included all randomized controlled trials, randomized cross-over trials, and quasi-experimental trials assessing the effect of non-pharmacological interventions for managing pain in patients with MS. This study was conducted according to PRISMA guidelines of a systematic review and pair-wise meta-analysis. Meta-analyses were performed by calculating the standardized mean difference at a 95% confidence interval using Review Manager software.

RESULTS

Twenty-nine papers were included in the systematic review, and only 22 of them were included in the meta-analysis. The pooled analysis showed a significant effect of neuromodulation and transcranial direct current stimulation on pain intensity reduction in patients with MS (SMD -0.51, 95% CI -0.51 to -0.09, P = 0.02), (SMD -0.67, 95% CI -1.18 to -0.16 P = 0.01), respectively. The analysis showed significant improvement in pain intensity in patient with MS after mind-body therapies (SMD -0.45, 95% CI -0.82 to -0.7, P = 0.02), mindfulness (SMD -0.55, 95% CI -0.96 to -0.14, P = 0.009), hypnosis (SMD -0.88, 95% CI -1.30 to -0.46, P = 0.0001), trigger point therapies (SMD -0.83, 95% CI -1.65 to -0.01, P = 0.05) and cognitive behavioral therapy (SMD -0.64, 95% CI -1.18 to -0.11, P = 0.02). However, there is no significant effect of relaxation therapy on pain reduction in patients with MS (SMD -0.82, 95% CI -1.94 to 0.31, P = 0.15).

CONCLUSIONS

The results indicated that the majority of the non-pharmacological rehabilitation interventions showed potential therapeutic effects in reducing pain intensity in patients with MS.

Complementary and alternative therapies in multiple sclerosis: a systematic literature classification and analysis

INTRODUCTION AND AIM

Multiple Sclerosis (MS) is a disease determined by inflammatory demyelination and neurodegeneration in the Central Nervous System (CNS). Despite the extensive utilization of Complementary and Alternative Medicine (CAM) in MS, there is a need to have comprehensive evidence regarding their application in the management of MS symptoms. This manuscript is a Systematic Literature Review and classification (SLR) of CAM therapies for the management of MS symptoms based on the International Classification of Functioning Disability and Health (ICF) model.

METHOD

Studies published between 1990 and 2020 IN PubMed, Science Direct, Scopus, Pro-Quest, and Google Scholar using CAM therapies for the management of MS symptoms were analyzed.

RESULTS

Thirty-one papers on the subject were analyzed and classified. The findings of this review clearly show that mindfulness, yoga, and reflexology were frequently used for managing MS symptoms. Moreover, most of the papers used mindfulness and yoga as a CAM therapy for the management of MS symptoms, which mostly devoted to mental functions such as fatigue, depression, cognition, neuromuscular functions such as gait, muscle strength, and spasticity, and sensory function such as balance, in addition to, reflexology is vastly used to management of mental functions of MS patients.

CONCLUSION

Evidence suggested that CAM therapies in patients with MS have the potential to target and enhancement numerous elements outlined in the ICF model. Although the use of CAM therapies in MS symptom management is promising, there is a need for strict clinical trials. Future research direction should concentrate on methodologically powerful studies to find out the potential efficacy of CAM intervention.

The analgesic effect of electroencephalographic neurofeedback for people with chronic pain: A systematic review and meta-analysis

BACKGROUND

Electroencephalographic (EEG) neurofeedback has been utilized to regulate abnormal brain activity associated with chronic pain.

METHODS

In this systematic review, we synthesized the evidence from randomized controlled trials (RCTs) to evaluate the effect of EEG neurofeedback on chronic pain using random effects meta-analyses. Additionally, we performed a narrative review to explore the results of non-randomized studies. The quality of included studies was assessed using Cochrane risk of bias tools, and the GRADE system was used to rate the certainty of evidence.

RESULTS

Ten RCTs and 13 non-randomized studies were included. The primary meta-analysis on nine eligible RCTs indicated that although there is low confidence, EEG neurofeedback may have a clinically meaningful effect on pain intensity in short-term. Removing the studies with high risk of bias from the primary meta-analysis resulted in moderate confidence that there remained a clinically meaningful effect on pain intensity. We could not draw any conclusion from the findings of non-randomized studies, as they were mostly non-comparative trials or explorative case series. However, the extracted data indicated that the neurofeedback protocols in both RCTs and non-randomized studies mainly involved the conventional EEG neurofeedback approach, which targeted reinforcing either alpha or sensorimotor rhythms and suppressing theta and/or beta bands on one brain region at a time. A posthoc analysis of RCTs utilizing the conventional approach resulted in a clinically meaningful effect estimate for pain intensity.

CONCLUSION

Although there is promising evidence on the analgesic effect of EEG neurofeedback, further studies with larger sample sizes and higher quality of evidence are required.

A Sham-Controlled Study of Neurofeedback for Pain Management

Background

Neurofeedback (NFB) attempts to alter the brain’s electrophysiological activity and has shown potential as a pain management technique. Existing studies, however, often lack appropriate control groups or fail to assess whether electrophysiological activity has been successfully regulated. The current study is a randomized controlled trial comparing changes in brain activity and pain during NFB with those of a sham-control group.

Methods

An experimental pain paradigm in healthy participants was used to provide optimal control of pain sensation. Twenty four healthy participants were blind randomized to receive either 10 × NFB (with real EEG feedback) or 10 × sham (with false EEG feedback) sessions during noxious cold stimulation. Prior to actual NFB training, training protocols were individually determined for each participant based on a comparison of an initial 32-channel qEEG assessment administered at both baseline and during an experimental pain task. Each individual protocol was based on the electrode site and frequency band that showed the greatest change in amplitude during pain, with alpha or theta up-regulation at various electrode sites (especially Pz) the most common protocols chosen. During the NFB sessions themselves, pain was assessed at multiple times during each session on a 0–10 rating scale, and ANOVA was used to examine changes in pain ratings and EEG amplitude both across and during sessions for both NFB and sham groups.

Results

For pain, ANOVA trend analysis found a significant general linear decrease in pain across the 10 sessions (p = 0.015). However, no significant main or interaction effects of group were observed suggesting decreases in pain occurred independently of NFB. For EEG, there was a significant During Session X Group interaction (p = 0.004), which indicated that EEG amplitude at the training site was significantly closer to the target amplitude for the NFB compared to the sham group during painful stimulation, but this was only the case at the beginning of the cold task.

Conclusion

While these results must be interpreted within the context of an experimental pain model, they underline the importance of including an appropriate comparison group to avoid attributing naturally occurring changes to therapeutic effects.

Mindfulness-Based Interventions for the Improvement of Well-Being in People With Multiple Sclerosis: A Systematic Review and Meta-Analysis

OBJECTIVE

The study aims to meta-analytically review studies about the effects of mindfulness-based interventions (MBIs) on well-being of people with multiple sclerosis (MS).

METHODS

Seven electronic databases were searched from June 2018 to September 2018. A systematic review and a meta-analysis were conducted.

RESULTS

Twenty-one studies were included in qualitative synthesis, and 10 studies were included in meta-analysis. MBIs are effective with an overall moderate effect size (Hedges' g = 0.70) in improving well-being in people with MS, with lasting effects at the follow-up (g = 0.55). In particular, MBIs demonstrated to highly reduce stress (g = 1.07) and to improve depression and anxiety symptoms with a moderate to large effect at postintervention (g = 0.77 and g = 0.63, respectively).

CONCLUSIONS

MBIs represent a valid and effective mind-body intervention to improve the well-being of patients with MS. Further studies should investigate which components of MBIs could be more beneficial for patients with progressive MS.

PROSPERO REGISTRATION

CRD42018099704.

Mindfulness- and Acceptance-Based Interventions for Symptom Reduction in Individuals With Multiple Sclerosis: A Systematic Review and Meta-Analysis

OBJECTIVE

To examine the effects of mindfulness- and acceptance-based interventions (MABIs) on reducing symptoms in individuals with multiple sclerosis (MS).

DATA SOURCES

A comprehensive search was conducted within the PubMed, CINAHL, PsycINFO, and SCOPUS databases for articles published from inception to July 3, 2020.

STUDY SELECTION

Randomized controlled trials (RCTs) were included if MABIs were provided to individuals with MS exclusively, with reported pre-and posttest results in symptoms of depression, anxiety, stress, fatigue, or pain.

DATA EXTRACTION

Characteristics of the included RCTs and data for meta-analysis were extracted. The quality of the included RCTs was assessed using the Cochrane Collaboration risk of bias tool.

DATA SYNTHESIS

A random effects model with the inverse variance method was used with effect size reported as standardized mean difference. Heterogeneity was assessed using the I² statistic.

RESULTS

Twenty-three RCTs met the eligibility criteria. Meta-analyses found large effects of MABIs on reducing depressive symptoms, anxiety, stress, and pain, as well as a moderate effect of MABIs on reducing fatigue at the immediate posttest. Large effects of MABIs on reducing depressive symptoms, anxiety, and stress at follow-up were also found, whereas a moderate effect on reducing fatigue was found at follow-up. There was no significant effect of MABIs on reducing pain at follow-up.

CONCLUSIONS

Fewer studies were included in meta-analyses for pain at the immediate posttest and follow-up and stress and fatigue at follow-up. The overall risk of bias was unclear. Future high-quality studies with follow-up evaluations are needed to support effects of MABIs on reducing symptoms in individuals with MS and examine intervention features that increase and maintain effects.

Prioritizing progressive MS rehabilitation research: A call from the International Progressive MS Alliance

Background:

People with multiple sclerosis (MS) experience myriad symptoms that negatively affect their quality of life. Despite significant progress in rehabilitation strategies for people living with relapsing-remitting MS (RRMS), the development of similar strategies for people with progressive MS has received little attention.

Objective:

To highlight key symptoms of importance to people with progressive MS and stimulate the design and implementation of high-quality studies focused on symptom management and rehabilitation.

Methods:

A group of international research experts, representatives from industry, and people affected by progressive MS was convened by the International Progressive MS Alliance to devise research priorities for addressing symptoms in progressive MS.

Results:

Based on information from the MS community, we outline a rationale for highlighting four symptoms of particular interest: fatigue, mobility and upper extremity impairment, pain, and cognitive impairment. Factors such as depression, resilience, comorbidities, and psychosocial support are described, as they affect treatment efficacy.

Conclusions:

This coordinated call to action—to the research community to prioritize investigation of effective symptom management strategies, and to funders to support them—is an important step in addressing gaps in rehabilitation research for people affected by progressive MS.

Effects of mindfulness-and acceptance-based interventions on quality of life, coping, cognition, and mindfulness of people with multiple sclerosis: a systematic review and meta-analysis

This systematic review and meta-analysis of randomized controlled trials (RCTs) examined effects of mindfulness- and acceptance-based interventions (MABIs) on quality of life (QoL), coping, cognition, and mindfulness among people with multiple sclerosis (MS). Four electronic databases were searched to 3 July 2020. Data was combined in a random-effects meta-analysis model. Eighteen RCTs met the eligibility criteria. Meta-analyses at the immediate posttest found: moderate effects of MABIs on QoL, coping, and attention; and a large effect on memory. A large effect of MABIs on QoL was found at follow-up. There was no significant effect of MABIs on mindfulness. Relatively fewer studies in outcomes other than QoL were found, and the overall risk of bias across the included 18 RCTs was unclear. Future high-quality studies with follow-up evaluations are needed to support effects of MABIs on QoL, coping, cognition, and mindfulness in people with MS and examine intervention features that increase and maintain effects.

Clinical perspective on pain in multiple sclerosis

Pain is an important and frequent symptom in multiple sclerosis (MS), which leads to a low quality of life, increased disability level, and lack of employment and mental health. Recently, studies have shown increased interest in pain in MS and there is a growing evidence of its prevalence. However, the literature suffers from lack of experimental studies focusing on pain reduction. This topical review summarizes the current knowledge about pain in MS with its definitions, assessments, treatments and rehabilitation within a holistic perspective.

Neurofeedback for Pain Management: A Systematic Review

Background: Chronic pain is a significant global health issue. For most individuals with chronic pain, biomedical treatments do not provide adequate relief. Given the evidence that neurophysiological abnormalities are associated with pain, it is reasonable to consider treatments that target these factors, such as neurofeedback (NF). The primary objectives of this review were to summarize the current state of knowledge regarding: (1) the different types of NF and NF protocols that have been evaluated for pain management; (2) the evidence supporting each NF type and protocol; (3) if targeted brain activity changes occur with NF training; and (4) if such brain activity change is associated with improvements on treatment outcomes. Methods: Inclusion criteria were intentionally broad to encompass every empirical study using NF in relation to pain. We considered all kinds of NF, including both electroencephalogram- (EEG-) and functional magnetic resonance imagining- (fMRI-) based. We searched the following databases from inception through September 2019: Pubmed, Ovid, Embase, Web of Science, PsycINFO. The search strategy consisted of a combination of key terms referring to all NF types and pain conditions (e.g., neurofeedback, rt-fMRI-NF, BOLD, pain, migraine). Results: A total of 6,552 citations were retrieved; 24 of these that were included in the review. Most of the studies were of moderate quality, included a control condition and but did not include a follow-up. They focused on studying pain intensity (83%), pain frequency, and other variables (fatigue, sleep, depression) in samples of adults (n = 7-71) with headaches, fibromyalgia and other pain conditions. Most studies (79%) used EEG-based NF. A wide variety of NF types and protocols have been used for pain management aiming to either increase, decrease or regulate brain activity in certain areas theoretically associated with pain. Conclusions: Given the generally positive results in the studies reviewed, the findings indicate that NF procedures have the potential for reducing pain and improving other related outcomes in individuals with chronic pain. However, the current evidence does not provide definitive conclusions or allow for reliable recommendations on which protocols or methods of administration may be the most effective. These findings support the need for continued - but higher quality - research in this area.

Potential Effect of Repetitive Hypnotic Inductions on Subjectively Rated Hypnotizability: A Brief Report

This study aimed to describe the potential influence of repetitive hypnotic inductions on hypnotizability, presentation of change dynamics, and comparison of 2 types of assessment. Six subjects underwent 5 subsequent hypnotic procedures. Ratings of response to hypnotic suggestions included self ratings by subjects and ratings by observers. The suggestion effects were evaluated using a 0-to-3 rating scale. Five out of 6 subjects were susceptible to suggestions; 1 was not responsive. Increase or stability, not decrease, were observed within subsequent procedures. The hypnotizability ratings increased significantly in subjects' assessment. However, there was an insignificant change in observers' assessment. Repetitive hypnotic inductions may modulate subjectively rated hypnotizability. Behavioral responses do not precisely reflect subjective experiences in the state of hypnosis.

Mindfulness-based cognitive therapy and cognitive behavioral therapy for chronic pain in multiple sclerosis: a randomized controlled trial protocol

BACKGROUND

Chronic pain is one of the most prevalent and disabling symptoms associated with multiple sclerosis (MS). Individuals with MS are interested in nonpharmacologic pain management approaches. Cognitive-behavioral therapy (CBT) is efficacious in improving MS-related pain outcomes. Mindfulness-based cognitive therapy (MBCT) is a promising, alternative approach. Little is known about moderators of these treatments' outcomes, however. This article describes the study protocol for the first randomized controlled trial comparing MBCT, CBT, and usual care and examining treatment effect moderators in individuals with chronic pain and MS.

METHODS

We will conduct a single-center, randomized, single blind, parallel-group trial comparing MBCT, CBT, and usual care in adults with MS and chronic pain. Both interventions will be delivered via eight group sessions using videoconferencing technology. Primary (average pain intensity) and secondary outcomes (including pain interference, depressive symptoms, fatigue, and sleep) will be assessed pre-treatment, mid-treatment, post-treatment, and at 6-month follow up. Potential treatment moderators will be assessed pre-treatment. We hypothesize that participants randomly assigned to MBCT or CBT will report significantly greater reductions in average pain intensity than participants assigned to usual care at post-treatment (primary study endpoint) and 6-month follow up. We also hypothesize that mindfulness, pain catastrophizing, and behavioral activation pre-treatment will moderate response to both active treatments, but not response to usual care.

DISCUSSION

Findings will provide important new information about the efficacy and moderators of two nonpharmacologic pain management approaches delivered using technology to overcome common barriers to treatment access. The knowledge gained may lead to better patient-treatment matching and, ultimately, better pain treatment outcomes in MS.

TRIAL REGISTRATION

ClinicalTrials.gov, NCT03782246. Registered on 20 December 2018.

Frontal brain activity and cognitive processing speed in multiple sclerosis: An exploration of EEG neurofeedback training

BACKGROUND

Cognitive deficits including impaired information processing speed as assessed by the Symbol Digit Modalities Test (SDMT) are common in multiple sclerosis (MS). Oscillatory markers of processing speed may be extracted from magnetoencephalographic (MEG) and electroencephalographic (EEG) resting-state recordings. In this context, an increased proportion of frontal slow-wave (theta, 4-8 Hz) to fast-wave (beta, 13-30 Hz) EEG activity was indicative of impaired SDMT performance. Such an increased theta/beta ratio may reflect oscillatory slowing associated with deficits in attention control. Therapeutic approaches that consider atypical oscillatory activity in MS remain sparse.

OBJECTIVES

In a cross-sectional design, we examined the relation between SDMT performance, the EEG theta/beta ratio and its components. We also explored longitudinally, whether EEG neurofeedback could be used to induce a putatively adaptive alteration in these EEG parameters, toward a pattern indicative of improved processing speed.

METHODS

N = 58 MS patients (RRMS/SPMS/PPMS N: 18/35/3, 2 cases excluded) participated in a neuropsychological examination and a resting-state EEG recording. Subsequently, N = 10 patients received neurofeedback training for two weeks in a hospitalized setting. The purpose was to reduce the frontal theta/beta ratio through operant conditioning.

RESULTS

In the cross-sectional examination, patients with slow SDMT speed displayed an increased theta/beta ratio, relative to those with normal speed. This involved increased frontal theta power, whereas beta power was equal across groups. The theta/beta ratio remained stable during neurofeedback across sessions of the two-week training period. In an exploratory secondary analysis, within sessions a reduction in the theta/beta ratio during active training blocks relative pre/post session resting-states was observed, driven by reduced theta power.

CONCLUSIONS

These findings provide support for utilizing frontal EEG theta activity as an inverse marker of processing speed in MS. Across sessions, there was no support for successful operant conditioning of the theta/beta ratio during the two-week training period. The observed state-specific shift within sessions, involving a transient reduction in theta activity, nevertheless may provide a rationale for a further investigation of neurofeedback as a treatment approach in MS.