Last updated on October 2018

Alpha as a Predictive Biomarker

Brief description of study

The investigators will use non-invasive recordings of brain activity to measure pain as a proxy to self-report. Participants will undergo testing for about 3 hours on two separate days. The testing will involve experiencing painful heat.

Detailed Study Description

Neurophysiological investigations of pain have suggested that electroencephalograph (EEG) measures of peak alpha frequency might provide a means of pain assessment. In healthy subjects, increased peak alpha frequency is strongly correlated with pain self-reports after exposure to acute noxious heat. Conversely, chronic pain patients compared to healthy control display decreased peak alpha frequencies higher in alpha power. Measures of peak alpha frequency also show a negative relationship with disease duration, suggesting that peak alpha frequency may not only index ongoing pain but also disease progression. The overall aim is to determine the predictive accuracy, reliability, and specificity of EEG alpha activity in acute pain and a model of neuropathic pain in healthy subjects.

Clinical Study Identifier: NCT02796625

Contact Investigators or Research Sites near you

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Mariya Prokhorenko

University of Maryland School of Dentistry
Baltimore, MD United States

Recruitment Status: Closed

Brief Description Eligibility Contact Research Team

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