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Study on Anxiety and Memory Prediction in Epilepsy Patients

This study aims to understand how brain signals, body responses, and behaviors are connected to anxiety and memory. Researchers are developing a system called CAMERA (Context-Aware Multimodal Ecological Research and Assessment) to predict your anxiety and memory state. CAMERA uses information from various sensors to learn about these states. To join, you must be between 18 and 55 years old, speak English or Spanish, and have known or suspected Temporal Lobe Epilepsy. You also need to be undergoing inpatient monitoring with special brain electrodes (stereoelectroencephalography or sEEG) that include electrodes in specific parts of your hippocampus. The study will measure how well CAMERA predicts your anxiety and memory over 1 to 30 days.

Study design
This interventional study plans to enroll 40 participants. It is designed to develop and test the CAMERA platform for predicting anxiety and memory states.
What's involved
Participants will undergo inpatient monitoring with intracranial electrodes. The CAMERA system will record brain, body, behavior, and environmental signals, along with ecological momentary assessments (EMAs).
Compensation
Not stated in the trial record.
Follow-up
The primary endpoints are measured over 1 to 30 days.

AI-generated from the public study record. Only the study team can confirm whether you're eligible — confirm details with them before making decisions.

NCT06551090

Prediction of Anxiety and Memory State

Recruiting
NAAges 18–55InterventionalScreening
Columbia University
~40 participants
Updated 2026-01-28 on ClinicalTrials.gov
What's tested:CAMERA (Context-Aware Multimodal Ecological Research and Assessment)

At a glance

Recruiting sites
1 of 1 listed site is recruiting right now
RecruitingSuspended, closed, or not yet open
What they're measuring
Mean absolute error between predicted and actual ecological momentary assessment (EMA) scores
Measured over 1-30 days
+1 more outcome measured

Conditions

Anxiety
Memory
Epilepsy

Explore related trials

Temporal Lobe Epilepsy

Where it's being run

1 sites across 1 states
New York1

Study leadership

  • Joshua Jacobs, PhD · STUDY_DIRECTOR · University of Chicago
  • Brett E Youngerman, MD · PRINCIPAL_INVESTIGATOR · Columbia University

Who to contact

Brett E Youngerman, MD
[email protected]
516-946-2145
Email the study team

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Eligibility criteria

Inclusion

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.
7th grade reading level (minimum level considered literate for adults)

Exclusion

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

What this trial measures

  • Mean absolute error between predicted and actual ecological momentary assessment (EMA) scores1-30 days

    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.

  • Percent of subjects demonstrating improvement in the EMANet prediction over time.1-30 days

    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.