EEG-characteristics of Neuropsychiatric Symptoms in Chronic Pain
NCT ID: NCT05261243
Last Updated: 2022-03-02
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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UNKNOWN
150 participants
OBSERVATIONAL
2022-02-28
2023-08-31
Brief Summary
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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.
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Detailed Description
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Conditions
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Study Design
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COHORT
OTHER
Interventions
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EEG / questionnaires / working memory task
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
Eligibility Criteria
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Inclusion Criteria
* Willing and able to sign informed consent for study participation
Exclusion Criteria
* Primary headache condition
18 Years
ALL
No
Sponsors
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German Research Foundation
OTHER
Technical University of Munich
OTHER
Responsible Party
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Principal Investigators
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Markus Ploner, Prof. Dr.
Role: PRINCIPAL_INVESTIGATOR
Department of Neurology, Klinikum rechts der Isar, Technical University of Munich
Locations
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Department of Neurology, Center for Interdisciplinary Pain Medicine
München, Bavaria, Germany
Countries
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Central Contacts
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Facility Contacts
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References
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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.
Other Identifiers
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6/22 S-KH
Identifier Type: -
Identifier Source: org_study_id
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