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NCT07561372 · ClinicalTrials.gov registry record · NA

Adaptive Recruitment Curve Analysis Using Bayesian Modeling

A NA study, sponsored by Columbia University.

Not yet
Registry status
NA
Development phase
10
Enrollment target

NCT07561372 is a NA study that has not yet begun recruiting, run by Columbia University. The registered enrollment target is 10 participants.

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The verdict

NCT07561372, a NA study, has not yet begun recruiting, sponsored by Columbia University.

NOT YET RECRUITING
Registry status
NA
Development phase
10 participants
Enrollment target

Study Summary

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.

Interventions

  • OTHER Algorithm: Uniform Sampling
  • OTHER Algorithm: hbMEP-adaptive algorithm (version 1)
  • OTHER Algorithm: hbMEP-adaptive algorithm (version 2)
  • OTHER ML-PEST
  • DEVICE MagPro X100 Transcranial Magnetic Stimulation

Trial Details

FieldValue
Enrollment Target 10 participants
Start Date 2026-08-01
Est. Completion 2027-03-31
Phase NA

Sponsor

Columbia University

958 total trials

What the Registry Record Tells You About NCT07561372

The ClinicalTrials.gov registry entry for NCT07561372 describes a study currently listed as not yet recruiting, categorized as NA. The registered enrollment target is 10 participants, a figure that helps gauge the scale of data the investigators plan to collect. The listed sponsor is Columbia University, which has 958 total studies on file at ClinicalTrials.gov.

The record links to 0 conditions, and to 5 interventions - of which Algorithm: Uniform Sampling is the first listed.

NCT07561372 reports 0 study locations.

Frequently Asked Questions

What is clinical trial NCT07561372 about?

NCT07561372 is a clinical study titled "Adaptive Recruitment Curve Analysis Using Bayesian Modeling". 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 cri...

What is the current status of trial NCT07561372?

This trial is currently not yet recruiting. It is a NA study. The enrollment target is 10 participants. The study started on 2026-08-01. Estimated completion is 2027-03-31.

What interventions are being tested in trial NCT07561372?

The interventions under investigation include: Algorithm: Uniform Sampling (OTHER), Algorithm: hbMEP-adaptive algorithm (version 1) (OTHER), Algorithm: hbMEP-adaptive algorithm (version 2) (OTHER), ML-PEST (OTHER), MagPro X100 Transcranial Magnetic Stimulation (DEVICE).

Who is sponsoring clinical trial NCT07561372?

This trial is sponsored by Columbia University, which has 958 total clinical trials registered on ClinicalTrials.gov.

Data sourced from official public datasets. See our methodology for details. Retrieved and formatted by PlainTrial

Every figure on PlainTrial is rendered directly from the ClinicalTrials.gov registry, no number is typed in by an editor. This page mirrors this trial's own ClinicalTrials.gov registry record, live from the dataset. See our editorial standards & corrections policy, the methodology behind these numbers, or report a data error.