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Novel Multimodal Neural, Physiological, and Behavioral Sensing and Machine Learning for Mental States

Novel Multimodal Neural, Physiological, and Behavioral Sensing and Machine Learning for Mental States

Status
Recruiting
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT07110688
Enrollment
90
Registered
2025-08-07
Start date
2024-08-01
Completion date
2028-11-30
Last updated
2025-10-01

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

No Condition, Study Mental State in Healthy Populations and Drug-resistant Epilepsy Patients With Existing iEEG

Keywords

neurotechnology, neuropsychiatric disorders, brain-machine interface

Brief summary

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.

Interventions

BEHAVIORALVirtual human social interaction

The participants will perform a social interaction with the virtual human agent platform to assess mental states.

BEHAVIORALCold pressor test

Healthy participants will immerse one hand in cold water for less than 3 minutes, while physiological data will be collected by the new wearable sensor from the other hand.

Sponsors

National Institute of Mental Health (NIMH)
CollaboratorNIH
University of Southern California
Lead SponsorOTHER

Study design

Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
BASIC_SCIENCE
Masking
NONE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
Yes

Inclusion criteria

For the healthy population, all subjects over the age of 18 who are able and willing to give informed consent will be eligible. For the epilepsy population, inclusion criteria are: * Patients who suffer from drug-resistant epilepsy and already have intracranial EEG (iEEG) electrodes implanted based on clinical criteria for their standard seizure localization (unrelated to our study) will be eligible. Most patients are healthy adults outside of their epilepsy. * Subjects \>= 18 are only included in this study. * All patients with the above conditions and with already-implanted electrodes who are willing to participate and able to cooperate and follow research instructions will be recruited.

Design outcomes

Primary

MeasureTime frameDescription
Fear of Negative Evaluation Brief7-10 daysMomentary self-reports of Fear of Negative Evaluation Brief will be administered in a tablet-based application. These self-reports return scores indicative of momentary mental state. Self-reports are obtained intermittently from the participants.
Visual Analog Scale (VAS)7-10 daysMomentary self-reports of the Visual Analog Scale (VAS) of depression, anxiety, and energy will be administered in a tablet-based application. These are fast self-reports to indicate the affect level along a line from none to prominent. These self-reports return scores indicative of momentary mental state. Self-reports are obtained intermittently from the participants.
Hamilton Depression Rating Scales (HAMD-6)7-10 daysMomentary self-reports of Hamilton Depression Rating Scales (HAMD-6) will be administered in a tablet-based application, which is widely used to measure the severity of the depressive state. These self-reports return scores indicative of momentary mental state. Self-reports are obtained intermittently from the participants.
Hamilton Anxiety Rating Scales (HAM-A)7-10 daysMomentary self-reports of Hamilton Anxiety Rating scales (HAM-A) will be administered in a tablet-based application, which is widely used to measure the severity of the anxiety state. These self-reports return scores indicative of momentary mental state. Self-reports are obtained intermittently from the participants.
Immediate Mood Scalar (IMS)7-10 daysMomentary self-reports of the Immediate Mood Scalar (IMS) will be administered in a tablet-based application, which measures depression and anxiety severity. These self-reports return scores indicative of momentary mental state. Self-reports are obtained intermittently from the participants.
Positive and Negative Affect Schedule (PANAS)7-10 daysMomentary self-reports of the Positive and Negative Affect Schedule (PANAS) will be administered in a tablet-based application, which measures momentary positive and negative affect. These self-reports return scores indicative of momentary mental state. Self-reports are obtained intermittently from the participants.

Secondary

MeasureTime frameDescription
Physiological measurements - skin conductance (SC)7-10 daysSkin conductance will be collected from each participant by using either commercial systems or the new wearable sensor.
Physiological measurements - cortisol level7-10 daysCortisol level will be collected from each participant by using either commercial systems or the new wearable sensor.
Neural measurements7-10 daysIn epilepsy patients who already have intracranial EEG recordings for their standard clinical monitoring (unrelated to this study), we will also obtain iEEG activity measurements. EEG power will be the main focus of the analysis, but the raw signal will also be analyzed.
Physiological measurements - heart rate variability (HRV)7-10 daysHeart rate variability will be collected from each participant by using either commercial systems or the new wearable sensor.

Countries

United States

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026