Optimizing Stimulation Techniques for Nervous System Monitoring
What You Need to Know Before You Apply
What is the purpose of this trial?
The purpose of this study is to better understand how electrical or magnetic stimulation affect the nervous system by optimizing the way researchers measure muscle responses. The relationship between stimulation intensity and muscle response is described by "neural recruitment curves," which are critical for monitoring the state of the nervous system during therapies like transcranial magnetic stimulation (TMS) and spinal cord stimulation (SCS).
This study tests a new, real-time computational approach based on our previously developed methods (Hierarchical Bayesian models) to estimate these recruitment curves more efficiently. The primary goal is to use this model to dynamically guide the experiment, automatically selecting the optimal stimulation intensities to test.
The investigators hypothesize that this optimized approach will accurately estimate the entire recruitment curve, or specific targets components of it like the motor threshold, using significantly fewer samples than standard methods. By reducing the number of measurements required, this approach aims to decrease experimental time and minimize participant burden, making future TMS and SCS therapies and experiments more feasible and efficient.
Who Is on the Research Team?
James R McIntosh, PhD
Principal Investigator
Columbia University
Are You a Good Fit for This Trial?
Inclusion Criteria
Exclusion Criteria
Timeline for a Trial Participant
Screening
Participants are screened for eligibility to participate in the trial
Experimental Session
Participants undergo distinct experiments within a single session to compare different neurostimulation sampling algorithms.
Follow-up
Participants are monitored for safety and effectiveness after the experimental session
What Are the Treatments Tested in This Trial?
Interventions
- Adaptive Recruitment Curve Analysis
How Is the Trial Designed?
1
Treatment groups
Experimental Treatment
Participants undergo distinct experiments within a single session to compare different neurostimulation sampling algorithms. Each experiment involves recruitment curve sampling with different methods (e.g., Uniform, Expected Information Gain) to evaluate the accuracy and efficiency of motor threshold.
Find a Clinic Near You
Who Is Running the Clinical Trial?
Columbia University
Lead Sponsor
National Institute of Neurological Disorders and Stroke (NINDS)
Collaborator
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