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.
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.
TMS-EEG Biomarkers for Chronic Pain
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UCSF, San Francisco, California, United States, 94107
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
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18 Years to 80 Years
ALL
No
University of California, San Francisco,
Julian Motzkin, MD, PhD, PRINCIPAL_INVESTIGATOR, University of California, San Francisco
2026-01