- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT05261243
EEG-characteristics of Neuropsychiatric Symptoms in Chronic Pain
Chronic pain is a challenge for patients, physicians and society due to its high prevalence and its substantial individual and socio-economic burden.
In recent years, innovative EEG-techniques have been used to study rhythmic brain activities in a variety of neuropsychiatric populations and in chronic pain and various abnormalities in neuronal oscillation patterns and connectivity between brain regions have been observed. However, it remains unclear whether these alterations of brain activity in chronic pain patients reflect pain characteristics like intensity, duration or type (e.g. neuropathic pain), or whether they reflect other symptoms associated with chronic pain.
Neuropsychiatric comorbidities and cognitive deficits of chronic pain are being increasingly recognized, as they frequently cause substantial problems in social life and hinder patients from being able to work. However, it has not been studied yet whether neuronal oscillations and connectivity patterns in the brains of chronic pain patients covary with neuropsychiatric comorbidities (e.g. depression, anxiety, fatigue) and cognitive functioning.
To this end, the investigators will obtain resting state EEG data in large cohort of patients with chronic pain and assess clinical characteristics of chronic pain including a variety of neuropsychiatric symptoms as well as working memory capacity as a proxy for cognitive functioning.
Results from this study will offer valuable insights into and a better understanding of brain dysfunction of patients suffering from chronic pain. This can be helpful for diagnostic and therapeutic advances (e.g. brain stimulation and neurofeedback methods) in the near future.
Study Overview
Status
Conditions
Intervention / Treatment
Study Type
Enrollment (Anticipated)
Contacts and Locations
Study Contact
- Name: Paul T. Zebhauser, Dr.
- Phone Number: +49 89 4140 5938
- Email: paul.zebhauser@tum.de
Study Locations
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Bavaria
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München, Bavaria, Germany, 81675
- Department of Neurology, Center for Interdisciplinary Pain Medicine
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Contact:
- Paul T. Zebhauser, Dr.
- Phone Number: +49 89 4140 5938
- Email: paul.zebhauser@tum.de
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
Description
Inclusion Criteria:
- Chronic pain condition
- Willing and able to sign informed consent for study participation
Exclusion Criteria:
- Severe concomitant neurological or psychiatric disease
- Primary headache condition
Study Plan
How is the study designed?
Design Details
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
PROMIS-29 Profile v2.1 (tablet-based)
Time Frame: 1 year (1 assessment per participant)
|
29 questions about neuropsychiatric symptoms and quality of life to be rated on a scale from 1-5; higher scores indicate more severe symptoms.
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1 year (1 assessment per participant)
|
|
PROMIS-Adult v2.0 - Cognitive Function 4a (tablet-based)
Time Frame: 1 year (1 assessment per participant)
|
4 questions about subjective cognitive symptoms to be rated on a scale from 1-5; higher scores indicate more severe symptoms
|
1 year (1 assessment per participant)
|
|
Working memory task (tablet-based)
Time Frame: 1 year (1 assessment per participant)
|
Digitalized self-developed block-tapping task; summarized number of correctly answered levels results in final score (minium 0, maximum 14 points; higher scores indicating higher working memory capacity)
|
1 year (1 assessment per participant)
|
|
Quantitative resting-state Electroencephalography (5 minute EEG via 29 scalp electrodes): Power Analysis
Time Frame: 1 year (1 assessment per participant)
|
Absolute and relative amplitudes/power (gamma, beta, alpha, theta)
|
1 year (1 assessment per participant)
|
|
Quantitative resting-state Electroencephalography (5 minute EEG via 29 scalp electrodes): Peak Frequency Analysis
Time Frame: 1 year (1 assessment per participant)
|
Maximum power value in the EEG frequency spectrum
|
1 year (1 assessment per participant)
|
|
Quantitative resting-state Electroencephalography (5 minute EEG via 29 scalp electrodes): Connectivity analysis
Time Frame: 1 year (1 assessment per participant)
|
Frequency specific connectivity (gamma, beta, alpha, theta)
|
1 year (1 assessment per participant)
|
Collaborators and Investigators
Sponsor
Collaborators
Investigators
- Principal Investigator: Markus Ploner, Prof. Dr., Department of Neurology, Klinikum rechts der Isar, Technical University of Munich
Publications and helpful links
General Publications
- Ploner M, Sorg C, Gross J. Brain Rhythms of Pain. Trends Cogn Sci. 2017 Feb;21(2):100-110. doi: 10.1016/j.tics.2016.12.001. Epub 2016 Dec 23.
- Higgins DM, Martin AM, Baker DG, Vasterling JJ, Risbrough V. The Relationship Between Chronic Pain and Neurocognitive Function: A Systematic Review. Clin J Pain. 2018 Mar;34(3):262-275. doi: 10.1097/AJP.0000000000000536.
- Dersh J, Polatin PB, Gatchel RJ. Chronic pain and psychopathology: research findings and theoretical considerations. Psychosom Med. 2002 Sep-Oct;64(5):773-86. doi: 10.1097/01.psy.0000024232.11538.54.
Study record dates
Study Major Dates
Study Start (Anticipated)
Primary Completion (Anticipated)
Study Completion (Anticipated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- 6/22 S-KH
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
IPD Sharing Time Frame
IPD Sharing Supporting Information Type
- ANALYTIC_CODE
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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