Neural Correlates of Real World Spatial Navigation in Humans
Overview
- Phase
- Not Applicable
- Intervention
- Not specified
- Conditions
- Memory, Delayed
- Sponsor
- University of California, Los Angeles
- Enrollment
- 70
- Locations
- 1
- Primary Endpoint
- Oscillatory activity change
- Status
- Recruiting
- Last Updated
- 9 months ago
Overview
Brief Summary
The purpose of this study is to understand the neural mechanisms that support real world spatial navigation in humans using deep brain recordings and stimulation during virtual reality (VR), augmented reality, and real world memory tasks. We will determine the cognitive (i.e., memory) and behavioral (i.e., body, head, eye position and movement) factors that modulate deep brain activity and the consequent effects of memory-enhancing deep brain stimulation.
Investigators
Nanthia Suthana
Assistant Professor
University of California, Los Angeles
Eligibility Criteria
Inclusion Criteria
- •12 years of age or older and has undergone RNS system placement
- •Willing to provide informed consent and participate the study
- •Ability to read and write English fluently
Exclusion Criteria
- •Unwilling to provide informed consent
Outcomes
Primary Outcomes
Oscillatory activity change
Time Frame: Throughout study completion, an average of 2-4 days per year
Changes in theta, gamma, and theta-gamma coupling will be measured both in relation to changes in memory performance on trials with and without deep brain stimulation as well as in relation to body, head, and eye position in a virtual, augmented, or real-world environment.
Spatial memory
Time Frame: Throughout study completion, an average of 2-4 days per year
Spatial memory will be measured using virtual, augmented and real-world spatial navigation tasks where participants will be asked to navigate a previously learned rout as well as if they recognize objects (i.e. landmarks) that appeared along the route (photos of seen landmarks vs unseen landmarks).
Memory performance change
Time Frame: Throughout study completion, an average of 2-4 days per year
Memory performance will be measured using excess path length, latency, and accuracy rate.