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RecruitingNCT07236892Updated Dec 24, 2025

Towards Restoring Complex Movement After Paralysis: Algorithm Development With Healthy Participants

An interventional study of Participants will perform experimental tasks while undergoing non-invasive activity recordings, which may include EEG, EMG, IMUs, fNIRS, eye gaze, or pupillometry. in Movement Disorders, Neurorehabilitation and Non-invasive Activity Recording, sponsored by University of California, Los Angeles. Recruiting at 1 site in United States. Open to participants aged 18 Years and older, including healthy volunteers. Per ClinicalTrials.gov, last updated 2025-12-24.

Sponsored by University of California, Los Angeles · Not applicable, Interventional, and Basic science

From the registry’s dates

  • Started Nov 2025; still recruiting 10 months later.
Phase
Not applicable
Study type
Interventional
Enrollment
50
Allocation
Not applicable
Ages
18 Years and older
Sex
All
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Study summary

Participants will perform experiments with non-invasive activity recordings. The study will record from multiple non-invasive signal sources that reflect motor intent that may include: electroencephalography (EEG), electromyography (EMG), functional near infrared spectroscopy (fNIRS), inertial measurement units (IMUs), eye movements, pupil size, and speech. Participants will wear all or a subset of these sensors and be asked to perform, imagine, or attempt movements or speech. The recorded sensor signals will be decoded to help guide an end effector, which may be a computer, robotic arm, wheelchair, or other assistive device.

These experiments present minimal risk and participants may withdraw participation at any time for any reason. Participants may return for additional experiments if desired and to perform additional comparisons. If a participant withdraws during a comparison, another participant will be recruited to complete collection of data for that comparison.

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Conditions studied

  • Movement Disorders
  • Neurorehabilitation
  • Non-invasive Activity Recording

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Keywords

  • Machine Learning
  • Algorithm Development
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In context

Movement Disorders

320 studies on the registry are indexed under Movement Disorders; 98 are open to participants now.

This study's planned enrollment of 50 is close to the median of 46 across 180 interventional studies indexed under Movement Disorders.

Browse Movement Disorders studies →

Lead sponsor

University of California, Los Angeles is the lead sponsor of 1,142 studies on the registry; 192 are open to participants now.

Of its 91 completed or terminated interventional studies of FDA-regulated products, 66 (73%) have results posted.

Counted across the registry records on this site, refreshed daily.

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Who can participate

Ages eligible
18 Years and older
Sexes eligible
All
Accepts healthy volunteers
Yes

Inclusion criteria

  • Fluent in the English language

Exclusion criteria

Exclusion Criteria:

  • Neurological injury or disease that results in functional paralysis
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Study design

Phase
Not applicable
Primary purpose
Basic science
Allocation
Not applicable
Intervention model
Single group
Masking
None (open label)
Enrollment
50 participants (estimated)

Study arms

  • Experimental
    Healthy Participants

    Participants will perform a subset of tasks while non-invasive activity is recorded which may include EEG, EMG, IMUs, fNIRS, eye gaze, or pupillometry.

    Behavioral: Participants will perform experimental tasks while undergoing non-invasive activity recordings, which may include EEG, EMG, IMUs, fNIRS, eye gaze, or pupillometry.

Interventions

  • BehavioralParticipants will perform experimental tasks while undergoing non-invasive activity recordings, which may include EEG, EMG, IMUs, fNIRS, eye gaze, or pupillometry.

    Participants may be prompted to imagine, attempt, or perform actions while a task is being performed on a computer, robotic arm, wheelchair, or exoskeleton. Participants may also autonomously perform actions to control each end effector. Participants may be asked to control a cursor to acquire a target or multiple targets. Participants may be asked to pick and place various objects, interact with articulated objects, or perform other motor tasks using a robotic manipulator. Participants may be asked to navigate a wheelchair.

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What researchers measure

Primary outcomes

  1. Normalized Performance

    The normalized performance of the non-invasive assistive interface on a task. Non-invasive signals, which may include electroencephalography, electromyography, functional near infrared spectroscopy, inertial measurements units, eye movements, pupil size, and speech are input into an algorithm that controls an end effector's movements. The end effector, which may be a computer cursor, robotic manipulator, wheelchair, or other assistive device, is used to perform a motor task. The normalized performance is derived from the the performance of the end effector on the motor task, reflecting the overall performance of the non-invasive assistive interface. The minimum value is zero. There is no maximum value, although the values are usually less than 1. Higher is better.

    Time frame: Usually one visit (Day 1), with possible additional study visits usually within a month.

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Study locations

1 of 1 sites recruiting
  • UCLA Neural Engineering and Computation Lab
    Los Angeles, California 90095, United States
    Recruiting
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References and documents

Individual participant data

Plan to share: Yes — * Identifier data, along with non-invasive activity (e.g., EEG, EMG, fNIRS, IMU, eye gaze) and corresponding behavior (e.g., cursor kinematics, robotic arm joint angles, wheelchair kinematics) will be generated for participants. The species is human, format .bin (binary file), amount per experiment approximately 6 GB. * Non-invasive activity and corresponding behavior will be preserved and shared, corresponding to nonidentifiable data collected during experiments. * Documentation will be provided to facilitate interpretation of the data. * Specialized tools, software, or code are not needed. The data is stored in Python, which is freely available, and can be loaded following documentation. * No consensus standard exists. These will be custom datasets for the particular experimental tasks. All data will be de-identified before sharing.

Supporting information: Study protocol, Sap, Icf

No publications or documents are linked to this record.

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Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Dec 24, 2025, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
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Registry details

Key details

Study ID
NCT07236892
Lead sponsor
University of California, Los Angeles
Collaborators
Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD)
Responsible party
Jonathan Kao (Associate Professor, UCLA ECE & CS, University of California, Los Angeles) — Principal investigator
First posted
Nov 19, 2025
Start date
Nov 26, 2025
Primary completion
Dec 1, 2029 (estimated)
Completion
Dec 1, 2029 (estimated)
Last update
Dec 24, 2025

Study contacts

Restoring Movement Study Coordinator
Contact
restoringmovementstudy@gmail.com
Jonathan Kao, PhD
principal investigator · UCLA Neural Engineering and Computation Lab

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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