University of Southern Denmark
Odense, 5230, Denmark
Location status: Recruiting
Location contact
Francois Pouwer, Professor
PRINCIPAL_INVESTIGATOR
Johanne Axelsen, PhD-student
CONTACT
NCT Number: NCT06603792
We will conduct a high-quality, blinded, randomized controlled trial (RCT) to rigorously test the effectiveness of EEG-based NF in patients with diabetes-related neuropathic pain. This study aims to determine the short-term and long-term effects of EEG-based NF on self-reported pain intensity, neuropathic pain symptoms, daily functioning, QoL and neurophysiological activity in individuals with chronic P-DPN. The trial is designed as a superiority trial. The primary aim is to evaluate whether real EEG-NF compared with sham EEG-NF, leads to a greater reduction in self-reported pain intensity from T0 to T1, assessed using mean 7-day pain intensity derived from the electronic pain diary. Secondary aims are to examine whether EEG-NF improves neuropathic pain severity, pain interference, sleep, fatigue, mood and QoL, and promotes normalization of activity within predefined pain-related cortical networks assessed using z-score changes in standardized weighted low-resolution electromagnetic tomography (swLORETA)-derived regions.
Interested in participating?
Request Info18 year–82 year
All sexes
Interventional
Not applicable
Odense, 5230, Denmark
Location status: Recruiting
Francois Pouwer, Professor
PRINCIPAL_INVESTIGATOR
Johanne Axelsen, PhD-student
CONTACT
20%-40% of people with diabetes develop diabetic polyneuropathy (DPN), which often manifests as a painful complication, strongly reducing quality of life. Current standard pharmacological treatments for neuropathic pain are often ineffective and have considerable side effects. Therefore, there is an urgent need for better treatment options. The way in which the brain interprets signals from the periphery can be modified through learning certain techniques, which can enable patients to modify signals related to painful DPN and consequently experience pain alleviation. Neurofeedback (NF) is a promising neuromodulatory therapy in which individuals receive real-time feedback about their brain's neurophysiological signals, thus increasing the volitional control of brain activity, reducing the experience of pain. Neurofeedback uses scalp EEG electrodes attached to a computer screen, which give real-time feedback to the individual. NF may offer symptom alleviation by teaching patients to regulate relevant activity patterns by themselves. By rewarding the person whenever the neural activity changes in a desired direction, the activity can be modulated. NF has not yet been investigated in an RCT in people with painful DPN. This proposed Danish-Brazilian project is the first blinded RCT rigorously testing an EEG-NF intervention for neuropathic pain (NP) in diabetes. The treatment will be conducted over 10 sessions in two randomized groups: a real EEG-NF group and a sham (placebo) EEG-NF group. Brazilian participants will also undergo (functional) magnetic resonance imaging (fMRI) scanning to investigate how the NF-treatment targets and alters neural mechanisms. If found effective, the low-cost EEG-NF can be made available and implemented at large scale for people with diabetes and painful neuropathy, and will be in reach for low- to middle-income countries.
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Traditional neurofeedback uses one or two electrodes to modulate activity within a specific frequency band. Standardized Weighted Low Resolution Electromagnetic Tomography (swLORETA) analyzes the 3D distribution of intracortical brain electrical activity based on surface EEG recordings, enabling real-time brainwave imaging with a spatial resolution under one cubic centimeter. This divides the brain into over 12,000 voxels, offering localization similar to fMRI while maintaining EEG's faster temporal resolution. Source-localized NF can target specific, deeper brain regions, multiple Brodmann areas simultaneously, and provide feedback on connectivity between neural sources, enabling the training of specific neural networks. swLORETA metrics are compared to a normative database of neurotypical brains to produce z-scores for each area and metric. NeuroGuide is used within the FDA 510(k)-cleared NeuroGuide Analysis System (K041263); clearance does not imply treatment validation.
Time frame: Seven consecutive days before baseline EEG assessment (T0; days -7 to -1) and seven consecutive days following the 10th and final neurofeedback session (T1; days +1 to +7).
The primary aim is to evaluate whether real EEG-NF compared with sham EEG-NF, leads to a greater reduction in self-reported pain intensity (NRS from 0-10) from T0 (baseline) to T1 (after 10th and final session), assessed using mean 7-day pain intensity derived from an electronic pain diary.
Time frame: Inclusion visit (pre-intervention), post-treatment assessment (after the 10th and final neurofeedback session), and 4 months after completion of the intervention.
Differences in neuropathic pain symptoms will be assessed using the Neuropathic pain scale (NPS). Changes from baseline will be evaluated following the intervention and at 4-month follow-up, and differences between the real EEG-NF and sham EEG-NF groups will be examined.
Time frame: Inclusion visit (pre-intervention), post-treatment assessment (after the 10th and final neurofeedback session), and 4 months after completion of the intervention.
Pain interference will be assessed using the Brief Pain Inventory (BPI) interference scale. Changes from baseline will be evaluated following the intervention and at 4-month follow-up, and differences between the real EEG-NF and sham EEG-NF groups will be examined.
Time frame: Inclusion visit (pre-intervention), post-treatment assessment (after the 10th and final neurofeedback session), and 4 months after completion of the intervention.
Sleep disturbance will be assessed using the PROMIS sleep measure. Changes over time and between-group differences will be examined.
Time frame: Baseline EEG assessment and post-treatment EEG assessment after completion of the 10th and final neurofeedback session.
Neurophysiological outcomes will be assessed using normative z-scores within the predefined pain-related network. A composite pain-network abnormality burden will be derived across EEG features, with domain-specific measures for current source density (CSD), instantaneous coherence, and lagged coherence also examined. Changes from pre- to post-intervention will be compared between the real EEG-NF and sham EEG-NF groups.
Time frame: After completion of the 10th and final neurofeedback session (T1) and at 4-month follow-up (T2).
Participants' overall perceived change in their condition will be assessed using the Patient Global Impression of Change (PGIC). Ratings following treatment and at follow-up will be summarized and compared between the real EEG-NF and sham EEG-NF groups as a supportive secondary outcome.
Time frame: Inclusion visit (pre-intervention), post-treatment assessment (after the 10th and final neurofeedback session), and 4 months after completion of the intervention.
Pain catastrophizing and coping will be assessed using the Pain Catastrophizing Scale (PCS). Changes from baseline will be evaluated following the intervention and at 4-month follow-up, and differences between the real EEG-NF and sham EEG-NF groups will be examined.
Time frame: Inclusion visit (pre-intervention), post-treatment assessment (after the 10th and final neurofeedback session), and 4 months after completion of the intervention.
Quality of life will be assessed using the World Health Organization Quality of Life-BREF (WHOQOL-BREF). Changes from baseline will be evaluated following the intervention and at 4-month follow-up, and differences between the real EEG-NF and sham EEG-NF groups will be examined.
Time frame: Seven consecutive days before baseline (T0; days -7 to -1) and seven consecutive days following the 10th and final neurofeedback session (T1; days +1 to +7).
Sleep interference will be assessed using daily self-reported ratings collected as part of the electronic diary. Mean ratings will be derived for the predefined baseline and post-intervention assessment periods.
Time frame: Inclusion visit (pre-intervention), post-treatment assessment (after the 10th and final neurofeedback session), and 4 months after completion of the intervention.
Pain severity will be assessed using the pain severity items of the Brief Pain Inventory (BPI). Changes over time and differences between the real EEG-NF and sham EEG-NF groups will be examined, with the 4-month follow-up used to assess durability of treatment effects.
Time frame: Inclusion visit (pre-intervention), post-treatment assessment (after the 10th and final neurofeedback session), and 4 months after completion of the intervention.
Mood will be assessed using the PROMIS mood measure. Changes over time and between-group differences will be examined.
Time frame: Inclusion visit (pre-intervention), post-treatment assessment (after the 10th and final neurofeedback session), and 4 months after completion of the intervention.
Fatigue will be assessed using the PROMIS fatigue measure. Changes over time and between-group differences will be examined.
Contact information is provided by the study sponsor or research team.
Francois Pouwer, Professor
CONTACT
Johanne Axelsen, PhD-student
CONTACT
University of Southern Denmark
Other
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