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RECRUITING
NCT06603792
NA

Neurofeedback for the Management of Neuropathic Pain in People With Diabetes

Sponsor: University of Southern Denmark

View on ClinicalTrials.gov

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. 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.

Key Details

Gender

All

Age Range

18 Years - 82 Years

Study Type

INTERVENTIONAL

Enrollment

60

Start Date

2024-09-01

Completion Date

2027-06

Last Updated

2026-09-15

Healthy Volunteers

No

Interventions

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. NeuroGuide is used within the FDA 510(k)-cleared NeuroGuide Analysis System (K041263); clearance does not imply treatment validation.

Locations (1)

University of Southern Denmark

Odense, Denmark