Electrodermal Activity Biofeedback Alters Evolving Functional Brain Networks in People With Epilepsy, but in a Non-specific Manner

The impact of biofeedback in enhancing chronic pain rehabilitation: A systematic review of mechanisms and outcomes

Background and objectives

Chronic pain (CP), affecting approximately 20 % of adults globally, imposes a profound burden on individuals and healthcare systems. This condition, characterized by persistent pain, muscle stiffness, and emotional distress, often results in a complex interplay of physical and psychological factors that exacerbate symptoms and hinder recovery. Biofeedback (BFB), a non-invasive intervention, offers a promising rehabilitation strategy by enabling individuals to monitor and self-regulate physiological responses, such as muscle tension, heart rate, and skin temperature. Through this process, BFB disrupts the vicious cycle of pain and stress, fostering relaxation, reducing muscle strain, and alleviating emotional distress. This systematic review aimed to examine the mechanisms underlying BFB's therapeutic effects in CP rehabilitation, specifically its ability to enhance self-regulation and promote relaxation to improve pain control. Furthermore, it aimed to evaluate the impact of BFB on key outcomes, including pain severity, functional capabilities, and quality of life, with the goal of guiding its integration into contemporary rehabilitation practices.

Materials and Methods

Following PRISMA guidelines, a systematic search was conducted in PubMed, Web of Science, and Embase (2014-2024) to identify studies on BFB for CP. Inclusion criteria included original research involving BFB as a primary or secondary intervention for CP, with outcomes related to pain management and rehabilitation. This review is registered on Open OSF (X5HPB).

Results

BFB has shown consistent efficacy as a complementary therapy in CP management, offering significant reductions in pain intensity and enhancements in quality of life across diverse CP conditions. Mechanistically, BFB facilitates improved self-regulation by training patients to modulate physiological responses, such as muscle tension and heart rate variability, leading to better pain control and stress reduction.

Conclusions

BFB shows significant promise as a supplementary treatment for different CP disorders. The evidence that was examined shows that it is effective in improving how pain is perceived, increasing functional results, and boosting overall quality of life among a variety of patient groups.

Spatiotemporal responses to emotional conflict and its psychiatric correlates in adolescents with epilepsy using magnetoencephalography

People with epilepsy often suffer from comorbid psychiatric disorders, which negatively affects their quality of life. Emotion regulation is an important cognitive process that is impaired in individuals with psychiatric disorders, such as depression. Adults with epilepsy also show difficulties in emotion regulation, particularly during later-stage, higher-order cognitive processing. Yet, the spatiotemporal and frequency correlates of these functional brain deficits in epilepsy remain unknown, as do the nature of these deficits in adolescent epilepsy. Here, we aim to elucidate the spatiotemporal profile of emotional conflict processing in adolescents with epilepsy, relative to controls, using magnetoencephalography (MEG) and relate these findings to anxiety and depression symptom severity assessed with self-report scales. We hypothesized to see blunted brain activity during emotional conflict in adolescents with epilepsy, relative to controls, in the posterior parietal, prefrontal and cingulate cortices due to their role in explicit and implicit regulation around participant response (500-1000 ms). We analyzed MEG recordings from 53 adolescents (28 epilepsy [14focal,14generalized], 25 controls) during an emotional conflict task. We showed that while controls exhibited behavioral interference to emotional conflict, adolescents with epilepsy failed to exhibit this normative response time pattern. Adolescents with epilepsy showed blunted brain responses to emotional conflict in brain regions related to error evaluation and learning around the average response time (500-700 ms), and in regions involved in decision making during post-response monitoring (800-1000 ms). Interestingly, behavioral patterns and psychiatric symptom severity varied between epilepsy subgroups, wherein those with focal epilepsy showed preserved response time interference. Thus, brain responses were regressed with depression and anxiety levels for each epilepsy subgroup separately. Analyses revealed that under activation in error evaluation regions (500-600 ms) predicted anxiety and depression in focal epilepsy, while regions related to learning (600-700 ms) predicted anxiety in generalized epilepsy, suggesting differential mechanisms of dysfunction in these subgroups. Despite similar rates of anxiety and depression across the groups, adolescents with epilepsy still exhibited deficits in emotional conflict processing in brain and behavioral responses. This suggests that these deficits may exist independently from psychopathology and may stem from underlying dysfunctions that predispose these individuals to develop both disorders. Findings such as these may provide potential targets for future research and therapies.

Normalization and cross-sectional validation of an extended Adverse Event Profile (E AEP) in a large cohort of patients with epilepsy

PURPOSE

The Liverpool Adverse Event Profile (L AEP) is commonly used in clinical practice and pharmacological trials for the monitoring of side effects of anti-seizure medication (ASM). However potentially unrelated, additional symptoms and normative data should be considered to put patients´ complaints into perspective.

METHODS

An extended 32-item AEP (E AEP) was given to 537 healthy subjects and 1,605 patients with epilepsy as part of the Bonn ASM side effect registry. The tool was factor-analyzed, corrected for age, gender, and repeated application, and related to drug load and individual substances (with N> 100) on item and scale level (total E AEP and its subscales cognition, dizziness, energy, mood, bodily symptoms, aggression, and sexuality).

RESULTS

Compared to non-normalized results, at item level, between one and two-thirds of responses suggesting impairment were found to be unlikely to be related to ASM treatment after normalization. Binary regression analyses revealed differential effects of medication choice, but also of antidepressants and neuroleptics on complaint domains. The explained variance was better for physical than psychological domains. The results reflect both known drug side effects and indications. Patients´ explicit attribution of problems to their medications barely improved the correlation of the E AEP and treatment parameters.

CONCLUSION

Application of a norm-referenced AEP is highly recommended to avoid overestimation of treatment related problems in patients with epilepsy. It allows evaluation on item and scale level for individuals as well as groups in drug trials. Plausible relations to individual drugs and to drug load can be demonstrated. The explanatory power was better for physical than psychological domains. Drug-related complaint patterns reflect known drug side effects (e.g. perampanel and brivaracetam with aggression) as well as drug indications (e.g. lamotrigine for depression). This is likely to be particularly relevant when side effects may have affected treatment decisions. Longitudinal evaluation with repeated application of the E AEP with changes of drug treatment is in progress.

Assessing epilepsy-related autonomic manifestations: Beyond cardiac and respiratory investigations

The Autonomic Nervous System (ANS) regulates many critical physiological functions. Its control relies on cortical input, especially limbic areas, which are often involved in epilepsy. Peri-ictal autonomic dysfunction is now well documented, but inter-ictal dysregulation is less studied. In this review, we discuss the available data on epilepsy-related autonomic dysfunction and the objective tests available. Epilepsy is associated with sympathetic-parasympathetic imbalance and a shift towards sympathetic dominance. Objective tests report alterations in heart rate, baroreflex function, cerebral autoregulation, sweat glands activity, thermoregulation, gastrointestinal and urinary function. However, some tests have found contradictory results and many tests suffer from a lack of sensitivity and reproducibility. Further study on interictal ANS function is required to further understand autonomic dysregulation and the potential association with clinically-relevant complications, including risk of Sudden Unexpected Death In Epilepsy (SUDEP).

Epileptic-network-based prediction and control of seizures in humans

Epilepsy is now conceptualized as a network disease. The epileptic brain network comprises structurally and functionally connected cortical and subcortical brain regions - spanning lobes and hemispheres -, whose connections and dynamics evolve in time. With this concept, focal and generalized seizures as well as other related pathophysiological phenomena are thought to emerge from, spread via, and be terminated by network vertices and edges that also generate and sustain normal, physiological brain dynamics. Research over the last years has advanced concepts and techniques to identify and characterize the evolving epileptic brain network and its constituents on various spatial and temporal scales. Network-based approaches further our understanding of how seizures emerge from the evolving epileptic brain network, and they provide both novel insights into pre-seizure dynamics and important clues for success or failure of measures for network-based seizure control and prevention. In this review, we summarize the current state of knowledge and address several important challenges that would need to be addressed to move network-based prediction and control of seizures closer to clinical translation.

Stimulation-related modifications of evolving functional brain networks in unresponsive wakefulness

Recent advances in neurophysiological brain network analysis have demonstrated novel potential for diagnosis and prognosis of disorders of consciousness. While most progress has been achieved on the population-sample level, time-economic and easy-to-apply personalized solutions are missing. This prospective controlled study combined EEG recordings, basal stimulation, and daily behavioral assessment as applied routinely during complex early rehabilitation treatment. We investigated global characteristics of EEG-derived evolving functional brain networks during the repeated (3–6 weeks apart) evaluation of brain dynamics at rest as well as during and after multisensory stimulation in ten patients who were diagnosed with an unresponsive wakefulness syndrome (UWS). The age-corrected average clustering coefficient C* allowed to discriminate between individual patients at first (three patients) and second assessment (all patients). Clinically, only two patients changed from UWS to minimally conscious state. Of note, most patients presented with significant changes of C* due to stimulations, along with treatment, and with an increasing temporal distance to injury. These changes tended towards the levels of nine healthy controls. Our approach allowed to monitor both, short-term effects of individual therapy sessions and possibly long-term recovery. Future studies will need to assess its full potential for disease monitoring and control of individualized treatment decisions.

Perspectives on Understanding Aberrant Brain Networks in Epilepsy

Epilepsy is a neurological disorder affecting approximately 70 million people worldwide. It is characterized by seizures that are complex aberrant dynamical events typically treated with drugs and surgery. Unfortunately, not all patients become seizure-free, and there is an opportunity for novel approaches to treat epilepsy using a network view of the brain. The traditional seizure focus theory presumed that seizures originated within a discrete cortical area with subsequent recruitment of adjacent cortices with seizure progression. However, a more recent view challenges this concept, suggesting that epilepsy is a network disease, and both focal and generalized seizures arise from aberrant activity in a distributed network. Changes in the anatomical configuration or widespread neural activities spanning lobes and hemispheres could make the brain more susceptible to seizures. In this perspective paper, we summarize the current state of knowledge, address several important challenges that could further improve our understanding of the human brain in epilepsy, and invite novel studies addressing these challenges.