Deriving Candidate Diagnostic and Prognostic Network Biomarkers for Chronic Pain Using the QuantalX DELPHI TMS-EEG System
In this study the investigators aim to assess the correlates of neurophysiological measures (measurement of brain magnetically evoked response) using DELPHI system. The DELPHI system device is a computerized, electromechanical medical device that produces and delivers non-invasive Transcranial Magnetic Stimulation (TMS) fields to induce electrical currents directed at regions of the cerebral cortex and records the resultant Electroencephalogram (EEG) brain electrophysiological response. DELPHI analyzes the TMS Evoked Potential (TEP) and produces quantitative output measures. Objectives include: * To use TMS-evoked EEG measures of brain function in patients with chronic pain using the QuantalX DELPHI system to predict patient specific pain diagnoses using machine learning classification methods. * To evaluate longitudinal associations between TMS-evoked EEG measures and ratings of chronic pain. * To monitor associations between TMS-evoked EEG biomarkers and therapy success for three different classes of medications.
• Male and female participants aged 18-80 with a diagnosis of chronic pain agreeing to participate in all study procedures. To maximize accrual and phenotypic variability in the sample for planned analyses, we include patients meeting ICD-11 criteria for chronic pain, a duration-based parent code for several common, clinically relevant pain conditions. Patients must have pain lasting more than 6 months.