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Validation of Presence-IP1.0 for Detection of Consciousness Using Reduced-Montage TMS-EEG
Sponsor: University of Wisconsin, Madison
Summary
This study aims to validate a novel real-time algorithm (Presence-IP1.0) designed to detect consciousness from TMS-evoked EEG responses using a reduced electrode montage. Thirty healthy adult participants will undergo TMS-EEG recordings during wakefulness and sleep. The algorithm's ability to differentiate conscious from unconscious states will be evaluated against behavioral and physiological state classification. The goal is to determine whether Presence-IP1.0 achieves clinically useful accuracy for detecting consciousness using a portable, reduced-channel system.
Official title: Prospective Validation of a Reduced-Montage TMS-EEG Complexity Algorithm (Presence-IP1.0) to Differentiate Conscious and Unconscious States Across Wakefulness and Sleep
Key Details
Gender
All
Age Range
18 Years - 85 Years
Study Type
INTERVENTIONAL
Enrollment
30
Start Date
2026-03-18
Completion Date
2027-05
Last Updated
2026-04-13
Healthy Volunteers
Yes
Conditions
Interventions
TMS combined with EEG
Structural MRI is used to help determine coil placement, before TMS-EEG visit.
Presence-IP1.0
novel algorithm
Locations (1)
UW School of Medicine and Public Health
Madison, Wisconsin, United States