NCT06603792

Neurofeedback for the Management of Neuropathic Pain in People with Diabetes

• Status: Recruiting
• Phase: EARLY_Phase 1
• Study type: Interventional
• Enrollment: 54 (estimated)
• Sponsor: University of Southern Denmark · Academic / Other
• Sex: All
• Age: 18 Years – 82 Years
• Healthy volunteers: Not accepted

Summary

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 in: 1) reducing pain intensity and pain affect, and 2) improving daily functioning and QoL.

Detailed description

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 triple blind 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.

Conditions

• Neuropathy, Painful Diabetic

Interventions

Type	Name	Description
BEHAVIORAL	EEG-neurofeedback	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. We will use the NeuroGuide normative database, FDA-approved and validated in peer-reviewed studies, widely used in clinical NF.

Timeline

• Start date: 2024-09-01
• Primary completion: 2026-01-01
• Completion: 2026-06-01
• First posted: 2024-09-19
• Last updated: 2024-09-19

Locations

1 site across 1 country: Denmark