Mind-Controlled devices: new study aims to help paralysis patients

NCT ID NCT05183152

Recruiting now Knowledge-focused Sponsor: University of Texas at Austin Source: ClinicalTrials.gov ↗

First seen Jun 27, 2026 · Last updated Jun 27, 2026

Summary

This study explores whether a non-invasive brain-computer interface (BCI) can help people with motor disorders, such as spinal cord injury or stroke, control assistive devices using their thoughts. Researchers will record brain signals with EEG and use machine learning to interpret movement intentions. The goal is to improve the reliability and accuracy of these systems for rehabilitation.

What this could mean

Our plain-language read of the trial. This is informational only — not medical advice or a prediction.

Active substance: brain-computer interface with electrical stimulation
What this could lead to: If successful, this could lead to better assistive devices that help people with paralysis or movement disorders regain some control over their environment.
What could go wrong: This is an early-stage study focused on measuring brain signals, not a treatment. The technology may not work reliably outside the lab or for all participants.

This is an AI summary of the original study and may miss details. Read our disclaimer.

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Conditions

The condition(s) this trial relates to.

Brain Injuries, Traumatic Motor Disorders motor neuron disorder movement disorder multiple sclerosis muscle tissue disorder Neurologic Manifestations spinal cord injury stroke disorder traumatic brain injury

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

HEALTHY MOTOR DISORDERS MOTOR NEURON DISEASE MOVEMENT DISORDERS MULTIPLE SCLEROSIS MUSCULAR DISEASES SPINAL CORD INJURIES STROKE TRAUMATIC BRAIN INJURY

Contacts and locations

Locations

The University of Texas at Austin
RECRUITING

Austin, Texas, 78712, United States

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