Neurofeedback for the Management of Neuropathic Pain in People with Diabetes
NCT ID: NCT06603792
Last Updated: 2024-09-19
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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RECRUITING
EARLY_PHASE1
54 participants
INTERVENTIONAL
2024-09-01
2026-06-30
Brief Summary
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Detailed Description
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Conditions
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Study Design
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RANDOMIZED
PARALLEL
TREATMENT
DOUBLE
Study Groups
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Real EEG-neurofeedback
the NF intervention group will receive feedback based on the genuine real-time EEG activity
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.
Sham EEG-neurofeedback
The sham-group will receive another participant's EEG-training protocol as a prerecorded signal. The feedback signal will consist of 15-25 rewards per minute. Meanwhile, the threshold for the sham group remains fixed, ensuring a consistent 70% positive feedback rate.
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.
Interventions
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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.
Eligibility Criteria
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Inclusion Criteria
* Diagnosed with 1) type 1 diabetes (for at least 5 years) or 2) type 2 diabetes
* The Toronto consensus criteria will be used for a case definition of DPN where patients have to have at least probable DPN (31). Diagnosis of DPN is confirmed with abnormal DPN Check. Painful DPN will be defined using the grading system for neuropathic pain (50) and will be in line with IASP's definition of neuropathic pain, i.e., "pain caused by a lesion or disease of the somatosensory system" (The Toronto consensus criteria).
* TCNS score \> 5
* Eligible patients with painful DPN must have a pain intensity of at least 4 on an 11-point numerical rating scale (NRS, 0-10) for at least 3 months on at least semi-daily basis and no severe pain other than pain due to neuropathy (the pain intensity will be based on the pain the patients experience while on current pain treatment, if any).
Exclusion Criteria
* Neuropathy or neuropathic pain due to other causes than diabetes (vitamin B12 deficiency, prior treatment with neurotoxic chemotherapy, chronic alcohol abuse, spinal stenosis, etc.)
* Change in current pain treatment during treatment (paracetamol is allowed as rescue medicine)
* Prior or current excessive alcohol use (\>14 or \>21 units/week for women and men, respectively) or illegal substance abuse
* Positive urine hCG test result indicating pregnancy
* Morphine use \>20mg/day
* Blindness or severely impaired vision
* The investigator finds the patient unfit for the study (e.g. due to use of alcohol or drugs, mental incapacity, unwillingness, or language barrier precluding adequate understanding or cooperation or presence of any condition that in the investigators' opinion may lead to poor adherence to study protocol).
18 Years
82 Years
ALL
No
Sponsors
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European Foundation for the Study of Diabetes
OTHER
Region of Southern Denmark
OTHER
Vissing fonden
UNKNOWN
Steno Diabetes Center Odense
OTHER
Aarhus University Hospital
OTHER
University of Southern Denmark
OTHER
Responsible Party
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Francois Pouwer
Professor
Locations
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University of Southern Denmark
Odense, , Denmark
Countries
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Central Contacts
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Facility Contacts
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Francois Pouwer, Professor
Role: backup
Other Identifiers
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11.719
Identifier Type: -
Identifier Source: org_study_id
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