NCT06551090

Brief Summary

The purpose of this study is to look at how signals in the brain, body, and behavior relate to anxiety and memory function. This project seeks to develop the CAMERA (Context-Aware Multimodal Ecological Research and Assessment) platform, a state-of-the-art open multimodal hardware/software system for measuring human brain-behavior relationships. The R61 portion of the project is designed to develop the CAMERA platform, which will use multimodal, passive sensor data to predict anxiety-memory state in patients undergoing inpatient monitoring with intracranial electrodes for clinical epilepsy, as well as to build CAMERA's passive data framework and active data framework.

Trial Health

77
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
40

participants targeted

Target at below P25 for not_applicable anxiety

Timeline
4mo left

Started Jul 2024

Longer than P75 for not_applicable anxiety

Geographic Reach
1 country

1 active site

Status
recruiting

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Progress87%
Jul 2024Dec 2026

Study Start

First participant enrolled

July 23, 2024

Completed
19 days until next milestone

First Submitted

Initial submission to the registry

August 11, 2024

Completed
2 days until next milestone

First Posted

Study publicly available on registry

August 13, 2024

Completed
2.3 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

December 1, 2026

Expected
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

December 1, 2026

Last Updated

January 28, 2026

Status Verified

January 1, 2026

Enrollment Period

2.4 years

First QC Date

August 11, 2024

Last Update Submit

January 26, 2026

Conditions

Outcome Measures

Primary Outcomes (2)

  • Mean absolute error between predicted and actual ecological momentary assessment (EMA) scores

    Use a multimodal machine learning model (EMANet ) to predict ≥1 EMA anxiety-memory state outcome (target) in held-out data at the population level. Mean absolute error will be the mean difference in absolute value of predicted EMA and actual EMA scores. A higher mean error represents a less accurate prediction. Prediction must use ≥2 different passive modalities, showing significantly better prediction accuracy than either of the modalities alone.

    1-30 days

  • Percent of subjects demonstrating improvement in the EMANet prediction over time.

    Use EMANet to predict ≥1 ecological momentary assessment (EMA) anxiety-memory state outcome (target) demonstrating improvement over time as measured with a linear regression applied to the mean absolute error between predicted and actual EMA values measured over days. Prediction must use ≥2 different passive modalities, showing significantly better prediction accuracy than either of the modalities alone.

    1-30 days

Secondary Outcomes (1)

  • Mean absolute error between predicted and actual absolute error on a daily basis

    1-30 days

Other Outcomes (7)

  • Jitter of neural data (milliseconds)

    1-30 days

  • Latency of audiovisual data (seconds)

    1-30 days

  • Latency of wrist sensor data (minutes)

    1-30 days

  • +4 more other outcomes

Study Arms (1)

CAMERA

OTHER

Adult subjects with epilepsy will undergo noninvasive video Electroencephalography (EEG) and intracranial electrodes sampling the amygdala and hippocampus (unilateral or bilateral). A subset of subjects (n=10) will use the Context-Aware Multimodal Ecological Research and Assessment (CAMERA) platform for 2 weeks after discharge with a subset of modalities: physiologic wristband, smartphone phenotyping, ecological momentary assessment (EMA) surveys, and memory task. At unpredictable intervals, CAMERA will interrupt subjects with: (a) an audible alarm to elicit an acoustic startle response; (b) a self-reported anxiety state scale; and (c) a visuospatial memory task with threat interference. For example, participants will fill out a brief survey and play a video game several times each day and wear a wristband with sensors.

Other: CAMERA (Context-Aware Multimodal Ecological Research and Assessment)

Interventions

The CAMERA platform is a multimodal, hardware-software framework for measuring brain-behavior interactions in an unstructured environment and predict ecological states. CAMERA will use multimodal, passive sensor data to predict anxiety-memory state in patients undergoing inpatient monitoring with intracranial electrodes for clinical epilepsy. CAMERA consists of: Wristband sensors of autonomic physiologic signals, emphasizing heart rate metrics and electrodermal activity; Smartphone usage, emphasizing natural language processing of text input for linguistic features; Subject-tracking audiovisual array, emphasizing subject vocal activity; Intracranial neural recordings, emphasizing hippocampal theta power and high-frequency activity (\~70-200 Hz).

CAMERA

Eligibility Criteria

Age18 Years - 55 Years
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64)

You may qualify if:

  • Patients must have known or suspected Temporal Lobe Epilepsy.
  • Native or proficient in speaking English or Spanish.
  • Stereoelectroencephalography (sEEG) cases: The implant plan must include hippocampal head, body, and tail electrodes either unilaterally or bilaterally.
  • th grade reading level (minimum level considered literate for adults)

You may not qualify if:

  • Hearing impaired (i.e., not corrected with a hearing aid)
  • Unable to read the newspaper at arm's length with corrective lenses.
  • Objective intellectual impairment (estimated IQ \< 70)
  • Any history of Electroconvulsive Therapy or psychosis (except postictal psychosis for patients)
  • Psychotic disorder (lifetime)
  • Current Anxiety disorder, Major Depressive Disorder, or Bipolar Disorder
  • Neurodegenerative diseases, presence of widespread brain lesions, language problems (other than naming difficulty)
  • Medical conditions that could potentially affect cognitive performance (e.g., human immunodeficiency virus (HIV) infection, cancer with metastatic potential).
  • Acute renal failure or end-stage renal disease

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Columbia University Irving Medical Center

New York, New York, 10032, United States

RECRUITING

MeSH Terms

Conditions

Anxiety DisordersEpilepsy

Interventions

Restraint, Physical

Condition Hierarchy (Ancestors)

Mental DisordersBrain DiseasesCentral Nervous System DiseasesNervous System Diseases

Intervention Hierarchy (Ancestors)

Behavior ControlTherapeuticsImmobilizationInvestigative Techniques

Study Officials

  • Joshua Jacobs, PhD

    University of Chicago

    STUDY DIRECTOR
  • Brett E Youngerman, MD

    Columbia University

    PRINCIPAL INVESTIGATOR

Central Study Contacts

Brett E Youngerman, MD

CONTACT

Study Design

Study Type
interventional
Phase
not applicable
Allocation
NA
Masking
NONE
Purpose
SCREENING
Intervention Model
SINGLE GROUP
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Assistant Professor of Neurological Surgery

Study Record Dates

First Submitted

August 11, 2024

First Posted

August 13, 2024

Study Start

July 23, 2024

Primary Completion (Estimated)

December 1, 2026

Study Completion (Estimated)

December 1, 2026

Last Updated

January 28, 2026

Record last verified: 2026-01

Locations