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EEG-characteristics of Neuropsychiatric Symptoms in Chronic Pain

EEG-characteristics of Neuropsychiatric Symptoms in Chronic Pain

Status
UNKNOWN
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT05261243
Enrollment
150
Registered
2022-03-02
Start date
2022-02-28
Completion date
2023-08-31
Last updated
2022-03-02

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Chronic Pain

Keywords

Chronic pain, electroencephalography, neuropsychiatry, working memory

Brief 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 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.

Interventions

DIAGNOSTIC_TESTEEG / 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

Sponsors

German Research Foundation
CollaboratorOTHER
Technical University of Munich
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
OTHER

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

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

Design outcomes

Primary

MeasureTime frameDescription
PROMIS-29 Profile v2.1 (tablet-based)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)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)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 Analysis1 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 Analysis1 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 analysis1 year (1 assessment per participant)Frequency specific connectivity (gamma, beta, alpha, theta)

Countries

Germany

Contacts

Primary ContactPaul T. Zebhauser, Dr.
paul.zebhauser@tum.de+49 89 4140 5938

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026