Chronic PainNCT05261243
EEG-characteristics of Neuropsychiatric Symptoms in Chronic Pain
An observational study of Chronic Pain, run by Technical University of Munich at 1 site in Germany.
Trial summary
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… Read more about this study
- Who is it for?
- Ages 18 years and older
- Conditions the study is for
- Chronic Pain
- What is being tested?
- EEG / questionnaires / working memory task
- How many people
- 150 participants
- Where
- 1 siteGermany
- Study dates
- Feb 2022to Aug 2023
- Phase
- Observational
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 18 years and older
- All sexes
- No healthy volunteers
- Adult, Older adult
Study population: All chronic pain patients eligible according to the inclusion and exclusion criteria described above treated at the Center for Interdisciplinary Pain Medicine at the Technical University of Munich are invited to voluntarily participate in the study.
Who may be able to join
- Chronic pain condition
- Willing and able to sign informed consent for study participation
Who cannot join
- Severe concomitant neurological or psychiatric disease
- Primary headache condition
Trial locations and contacts
1 site in 1 country.
Germany1 site
Department of Neurology, Center for Interdisciplinary Pain Medicine
München, Bavaria, 81675
Paul T. Zebhauser, Dr., +49 89 4140 5938, paul.zebhauser@tum.de
About this study
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.
Read more
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.
- Conditions
- Chronic Pain
- Being tested
- EEG / questionnaires / working memory task
- Keywords
- Chronic pain, electroencephalography, neuropsychiatry, working memory
- Medical subject headings
- Chronic Pain
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
EEG / questionnaires / working memory taskDiagnostic test
EEG resting state measurements and analysis of frequency bands (gamma, beta, alpha, theta), peak frequencies and connectivity measures / questionnaires for depression, anxiety, social activities, cognition, pain, sleep, fatigue / digitalized block-tapping task
What is being measured
The primary outcome is the main question the study is designed to answer.
PROMIS-29 Profile v2.1 (tablet-based)
29 questions about neuropsychiatric symptoms and quality of life to be rated on a scale from 1-5; higher scores indicate more severe symptoms.
Measured: 1 year (1 assessment per participant)
PROMIS-Adult v2.0 - Cognitive Function 4a (tablet-based)
4 questions about subjective cognitive symptoms to be rated on a scale from 1-5; higher scores indicate more severe symptoms
Measured: 1 year (1 assessment per participant)
Working memory task (tablet-based)
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)
Measured: 1 year (1 assessment per participant)
Quantitative resting-state Electroencephalography (5 minute EEG via 29 scalp electrodes): Power Analysis
Absolute and relative amplitudes/power (gamma, beta, alpha, theta)
Measured: 1 year (1 assessment per participant)
Quantitative resting-state Electroencephalography (5 minute EEG via 29 scalp electrodes): Peak Frequency Analysis
Maximum power value in the EEG frequency spectrum
Measured: 1 year (1 assessment per participant)
Quantitative resting-state Electroencephalography (5 minute EEG via 29 scalp electrodes): Connectivity analysis
Frequency specific connectivity (gamma, beta, alpha, theta)
Measured: 1 year (1 assessment per participant)
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted2 Mar 2022
- Study startFeb 2022 (estimated)
- Primary completionFeb 2023 (estimated)
- Study completionAug 2023 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (3)Papers the sponsor has linked to this study.
- Other trials for Chronic PainStudies of the same condition, open and under way.
- More trials run by Technical University of MunichThe sponsor's other registered studies.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Observational
- Observational model
- Cohort
- Time perspective
- Other
- Enrolment
- 150 participants (estimated)
Sponsor and investigators
- Lead sponsor
- Technical University of Munich
- Sponsor type
- University, hospital or other
- Collaborators
- German Research Foundation
- Responsible party
- Sponsor
- Investigators
- Markus Ploner, Prof. Dr., Principal investigator, Department of Neurology, Klinikum rechts der Isar, Technical University of Munich
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT05261243
- Sponsor's protocol ID
- 6/22 S-KH
- Status last verified
- Feb 2022
- First submitted
- 8 Feb 2022
- Last updated
- 2 Mar 2022
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- Yes: We will make anonymized data publicly available on data sharing platforms like the Open Science Framework (https://osf.io/)
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.
PubMed 28025007Higgins 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.
PubMed 28719507Dersh 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.
PubMed 12271108
Study at a glance
From the registry record, last updated by the sponsor on 2 Mar 2022. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- EEG-characteristics of Neuropsychiatric Symptoms in Chronic Pain
- ClinicalTrials.gov ID
- NCT05261243
- Acronym / sponsor ID
- 6/22 S-KH
- Conditions
- Chronic Pain
- Keywords
- Chronic pain, electroencephalography, neuropsychiatry, working memory
- Study type
- Observational
- Recruitment status
- Unknown status
- Enrolment
- 150 participants (estimated)
- Lead sponsor
- Technical University of MunichUniversity, hospital or other
- Collaborators
- German Research Foundation
- Study start
- Feb 2022 (estimated)
- Primary completion
- Feb 2023 (estimated)
- Study completion
- Aug 2023 (estimated)
- First posted
- 2 Mar 2022 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
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 design
- Observational model
- Cohort
- Time perspective
- Other
Who may qualify
- Ages
- 18 years and older
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Adult, Older adult
- Study population
- All chronic pain patients eligible according to the inclusion and exclusion criteria described above treated at the Center for Interdisciplinary Pain Medicine at the Technical University of Munich are invited to voluntarily participate in the study.
Key inclusion criteria (2 listed)
- Chronic pain condition
- Willing and able to sign informed consent for study participation
Key exclusion criteria (2 listed)
- Severe concomitant neurological or psychiatric disease
- Primary headache condition
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| EEG / questionnaires / working memory taskEEG resting state measurements and analysis of frequency bands (gamma, beta, alpha, theta), peak frequencies and connectivity measures / questionnaires for depression, anxiety, social activities, cognition, pain, sleep, fatigue / digitalized block-tapping task | Diagnostic test | – |
Primary outcome
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.
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
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)
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)
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
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)
Results and safety
Results are not available in the source record.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 2 Mar 2022.
- Background: PubMed 28025007Ploner 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.
- Background: PubMed 28719507Higgins 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.
- Background: PubMed 12271108Dersh 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.
- Individual participant dataSharing planned: Yes. We will make anonymized data publicly available on data sharing platforms like the Open Science Framework (https://osf.io/)
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
Markus Ploner, Prof. Dr. principal investigator
Department of Neurology, Klinikum rechts der Isar, Technical University of Munich
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
An observational study of Chronic Pain, run by Technical University of Munich at 1 site in Germany.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 2 inclusion and 2 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: status not confirmed, as of the sponsor's last update on 2 Mar 2022. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in Germany. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
Results are not available in the source record.
How can a doctor refer a patient or contact the research team?
Contact Paul T. Zebhauser, Dr. (+49 89 4140 5938, paul.zebhauser@tum.de), or a site near the patient. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
PROMIS-29 Profile v2.1 (tablet-based) (time frame: 1 year (1 assessment per participant)). The study lists 6 primary outcomes in all. It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT05261243, which also lists 3 linked publications.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 2 Mar 2022.