Novel Multimodal Neural, Physiological, and Behavioral Sensing and Machine Learning for Mental States
Recruiting now · Not applicable
Conditions studied: No Condition, Study Mental State in Healthy Populations and Drug-resistant Epilepsy Patients With Existing iEEG
In brief
In this program, the investigators will develop novel multimodal neural-behavioral-physiological monitoring tools (software and hardware), and machine learning models for mental states within social processes and beyond. The tools consist of a multimodal skin-like wearable sensor for physiological and biochemical sensing; a conversational virtual human platform to evoke naturalistic social processes; audiovisual affect recognition software; synchronization tools; and machine learning methods to model the multimodal data. The investigators will demonstrate the tools in healthy subjects without neural recordings and in patients with drug-resistant epilepsy who already have intracranial EEG (iEEG) electrodes implanted based on clinical criteria for standard monitoring to localize seizures, which is unrelated to our study.
Key facts
- Study ID
- NCT07110688
- Run by
- University of Southern California
- People needed
- 90
- Starts
- 2024-08-01
- Expected to finish
- 2028-11-30
- Last updated by the study team
- 2025-10-01
Who can join
Age: 18 and older. Sex: any. Healthy volunteers: accepted.
Where it is running
- Rancho Los Amigos National Rehabilitation Center — Downey, California, United States (enrolling)
- University of Southern California — Los Angeles, California, United States (enrolling)
Full record on ClinicalTrials.gov
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