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TMS-EEG Biomarkers for Chronic Pain
Sponsor: University of California, San Francisco
Summary
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.
Official title: Deriving Candidate Diagnostic and Prognostic Network Biomarkers for Chronic Pain Using the QuantalX DELPHI TMS-EEG System
Key Details
Gender
All
Age Range
18 Years - 80 Years
Study Type
INTERVENTIONAL
Enrollment
100
Start Date
2024-11-18
Completion Date
2026-06
Last Updated
2026-01-09
Healthy Volunteers
No
Conditions
Interventions
QuantalX DELPHI-MD (TMS-EEG)
Direct Electro-Physiological Imaging medical device (DELPHI-MD), developed by QuantalX Neuroscience, is a neurophysiological assessment system which utilizes a specific TMS-EEG protocol that automatically analyzes specific features of this brain response to reproduce numerical output measures. DELPHI-MD has previously shown to differentiate different healthy age groups, mild dementia and Parkinson's Disease (PD) from age matched healthy control. In addition, DELPHI-MD measures are correlated to white matter microstructural differences in post stroke and TBI patients. This multimodal approach allows for the evaluation of several neurophysiological mechanisms such as cortical reactivity, excitation and inhibition in local and distal regions, effective connectivity, and neural plasticity, characterized as modifications that outlast the stimulation period. The investigators predict that Delphi-MD has the potential to identify features of brain function altered in pain syndromes.
Locations (1)
UCSF
San Francisco, California, United States