NCT07236892

Brief 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.

Trial Health

77
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
50

participants targeted

Target at P25-P50 for not_applicable

Timeline
44mo left

Started Nov 2025

Longer than P75 for not_applicable

Geographic Reach
1 country

1 active site

Status
recruiting

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Progress11%
Nov 2025Dec 2029

First Submitted

Initial submission to the registry

November 14, 2025

Completed
5 days until next milestone

First Posted

Study publicly available on registry

November 19, 2025

Completed
7 days until next milestone

Study Start

First participant enrolled

November 26, 2025

Completed
4 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

December 1, 2029

Expected
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

December 1, 2029

Last Updated

December 24, 2025

Status Verified

December 1, 2025

Enrollment Period

4 years

First QC Date

November 14, 2025

Last Update Submit

December 22, 2025

Conditions

Keywords

Machine LearningAlgorithm Development

Outcome Measures

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.

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

Study Arms (1)

Healthy Participants

EXPERIMENTAL

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

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.

Healthy Participants

Eligibility Criteria

Age18 Years+
Sexall
Healthy VolunteersYes
Age GroupsAdult (18-64), Older Adult (65+)

You may qualify if:

  • Fluent in the English language

You may not qualify if:

  • Neurological injury or disease that results in functional paralysis

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

UCLA Neural Engineering and Computation Lab

Los Angeles, California, 90095, United States

RECRUITING

MeSH Terms

Conditions

Movement Disorders

Interventions

Fixation, Ocular

Condition Hierarchy (Ancestors)

Central Nervous System DiseasesNervous System Diseases

Intervention Hierarchy (Ancestors)

Eye MovementsOcular Physiological Phenomena

Study Officials

  • Jonathan Kao, PhD

    UCLA Neural Engineering and Computation Lab

    PRINCIPAL INVESTIGATOR

Central Study Contacts

Restoring Movement Study Coordinator

CONTACT

Study Design

Study Type
interventional
Phase
not applicable
Allocation
NA
Masking
NONE
Purpose
BASIC SCIENCE
Intervention Model
SINGLE GROUP
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Associate Professor, UCLA ECE & CS

Study Record Dates

First Submitted

November 14, 2025

First Posted

November 19, 2025

Study Start

November 26, 2025

Primary Completion (Estimated)

December 1, 2029

Study Completion (Estimated)

December 1, 2029

Last Updated

December 24, 2025

Record last verified: 2025-12

Data Sharing

IPD Sharing
Will share

* 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.

Shared Documents
STUDY PROTOCOL, SAP, ICF
Time Frame
Data will be available no later than the time of an associated publication or the end of performance period of the extramural award that generated the data, whichever comes first. DASH, which is an NIH-recommended domain-specific repository, has usually long retention cycles and will often host data "in perpetuity." The PI will not take down the data any sooner.
Access Criteria
Scientific data and metadata will be archived on NICHD Data and Specimen Hub (DASH). DASH automatically assigns a digital object identifier (doi) to data files. DASH is an NIH-controlled-access data repository. The NICHD DASH Data Access Committee reviews all requests to access DASH data and biospecimens from identity-verified requesters to determine whether the proposed use is scientifically and ethically appropriate and does not conflict with constraints or research data use limitations identified by the institutions that submitted the research data. The Recipient's institution and the Recipient must sign and agree to the terms and conditions.

Locations