Prediction of Anxiety and Memory State
CAMERA
Developing the Context-Aware Multimodal Ecological Research and Assessment (CAMERA) Platform for Continuous Measurement and Prediction of Anxiety and Memory State
2 other identifiers
interventional
40
1 country
1
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
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at below P25 for not_applicable anxiety
Started Jul 2024
Longer than P75 for not_applicable anxiety
1 active site
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 Start
First participant enrolled
July 23, 2024
CompletedFirst Submitted
Initial submission to the registry
August 11, 2024
CompletedFirst Posted
Study publicly available on registry
August 13, 2024
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 1, 2026
ExpectedStudy Completion
Last participant's last visit for all outcomes
December 1, 2026
January 28, 2026
January 1, 2026
2.4 years
August 11, 2024
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
OTHERAdult 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.
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).
Eligibility Criteria
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
- Columbia Universitylead
- Rutgers Universitycollaborator
- National Institute of Mental Health (NIMH)collaborator
- University of Minnesotacollaborator
Study Sites (1)
Columbia University Irving Medical Center
New York, New York, 10032, United States
MeSH Terms
Conditions
Interventions
Condition Hierarchy (Ancestors)
Intervention Hierarchy (Ancestors)
Study Officials
- STUDY DIRECTOR
Joshua Jacobs, PhD
University of Chicago
- PRINCIPAL INVESTIGATOR
Brett E Youngerman, MD
Columbia University
Central Study Contacts
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