Quantitative SSEP and EEG As Objective Pain Biomarker
NCT03495180 · Status: WITHDRAWN · Phase: NA · Type: INTERVENTIONAL
Last updated 2024-12-20
Summary
Over the past few years, significant advances have begun to be made in the development of particular measures as valid biomarkers or surrogate markers for the presence of acute and chronic pain. Many of these advances have been made because of the development of new and improved technologies, for example in the fields of imaging and genetics. Research is now showing brain activity and brain organizational changes associated with the presence of pain. Various factors have been found in the blood that is associated with the presence of pain. Research is also suggesting that pupil responses to a variety of stimuli may predict the presence of pain. And machine learning analysis of videos has found facial movement patterns in both animals and humans that are correlated with the presence of pain.
This is a pilot study to investigate whether components of a person's electrical brain activity do reflect pain sensation.
Conditions
Interventions
- OTHER
-
Standard EEG or SSEP
The gamma frequency range (30 -100 Hz) of standard EEG or somatosensory evoked potential (SSEP) correlate with intensity of an experimental pain stimulus and perceived (self-rating, subjective) pain intensity.
Sponsors & Collaborators
-
University of Alabama at Birmingham
lead OTHER
Principal Investigators
-
Michael Froelich, MD · UAB Department of Anesthesiology, Critical Care Division
Study Design
- Allocation
- NA
- Purpose
- TREATMENT
- Masking
- NONE
- Model
- SINGLE_GROUP
Eligibility
- Min Age
- 19 Years
- Sex
- ALL
- Healthy Volunteers
- Yes
Timeline & Regulatory
- Start
- 2018-05-22
- Primary Completion
- 2019-11-14
- Completion
- 2025-12-01
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