Non-invasive BCI-controlled Assistive Devices
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ClinicalTrials.gov Identifier: NCT05183152 |
Recruitment Status :
Recruiting
First Posted : January 10, 2022
Last Update Posted : December 5, 2022
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Condition or disease | Intervention/treatment | Phase |
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Motor Disorders Healthy Spinal Cord Injuries Muscular Diseases Motor Neuron Disease Stroke Traumatic Brain Injury Movement Disorders | Device: NMES-BCI Device: Visual-BCI | Not Applicable |
Study Type : | Interventional (Clinical Trial) |
Estimated Enrollment : | 40 participants |
Allocation: | Randomized |
Intervention Model: | Crossover Assignment |
Masking: | None (Open Label) |
Primary Purpose: | Treatment |
Official Title: | Non-invasive Brain-computer Interfaces for Control of Assistive Devices |
Actual Study Start Date : | June 16, 2021 |
Estimated Primary Completion Date : | December 30, 2023 |
Estimated Study Completion Date : | December 30, 2023 |

Arm | Intervention/treatment |
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Experimental: NMES-BCI
Sensory-threshold electrical stimulation is delivered to the flexors/extensors of the forearm contingent to the voluntary activation of the motor cortex by motor imagery of hand flexion/extension as detected by a closed-loop BCI.
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Device: NMES-BCI
Electroenceauphalography (EEG) signals will be recorded from subjects as they perform cued tasks for flexing/extending their non-dominant hand. The signals will be processed and classified in real-time using machine learning algorithms to trigger electrical stimulation on the flexors/extensors of the targeted arm contingent to the detection of a subject-specific flexion/extension EEG patterns. |
Active Comparator: Visual-BCI
Bar-based visual feedback is provided on a screen contingent to the voluntary activation of the motor cortex by motor imagery of hand flexion/extension as detected by a closed-loop BCI.
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Device: Visual-BCI
Electroenceauphalography (EEG) signals will be recorded from subjects as they perform cued tasks for flexing/extending their non-dominant hand. The signals will be processed and classified in real-time using machine learning algorithms to control the right/left movement of a bar on a computer screen. The bar feedback is contingent to the detection of a subject-specific flexion/extension EEG patterns. |
- Change in the BCI command delivery accuracy [ Time Frame: Difference between the week before versus after each intervention ]The command delivery accuracy reflects the level of control of the subject when using the BCI. It measures the percentage of trials in which the subject-specific classifier that is used to differentiate the different imagined movements could accumulate enough evidence to support the presence of EEG patterns specifically associated with the imagined movement in those trials. The score is 0-100, and the higher the value, the better the outcome.
- Change in fMRI activation for different imagined movements [ Time Frame: Difference between the week before versus after each intervention ]
- The clusters of significant activation during MI of different movements would be more separable
- The activation associated with different MI tasks would be more discriminable
- Stability and separability of Motor Imagery features [ Time Frame: Difference between the week before versus after each intervention ]The features corresponding to different motor imagery tasks become more separable and are more stable at the end of the intervention.
- Changes in motor-evoked potential amplitude [ Time Frame: Difference between the week before versus after each intervention ]Continuous measure, the higher the better
- Changes in electroencephalography functional connectivity [ Time Frame: Difference between the week before versus after each intervention ]Continuous measure, the more significant changes the better

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Ages Eligible for Study: | 18 Years to 80 Years (Adult, Older Adult) |
Sexes Eligible for Study: | All |
Accepts Healthy Volunteers: | Yes |
Inclusion Criteria:
- Able-bodied participants:
- good general health
- normal or corrected vision
- no history of neurological/psychiatric disease
- ability to read and understand English (Research Personnel do not speak Spanish)
- Subjects with motor disabilities
- motor deficits due to: unilateral and bilateral stroke / spinal cord injury / motor neuron diseases (i.e. amyotrophic lateral sclerosis, spino-cerebellar ataxia, multiple sclerosis) / muscular diseases (i.e. myopathy) / traumatic or neurological pain / movement disorders (i.e. cerebral palsy) / orthopedic / traumatic brain injury / brain tumors
- normal or corrected vision
- ability to read and understand English (Research Personnel do not speak Spanish)
- ability to provide informed consent
Exclusion Criteria:
- Subjects with motor disabilities
- short attentional spans or cognitive deficits that prevent to remain concentrated during the whole experimental session
- heavy medication affecting the central nervous system (including vigilance)
- concomitant serious illness (e.g., metabolic disorders)
- All participants
- factors hindering EEG/EMG acquisition and FES/tdCS/tACS delivery (e.g., skin infection, wounds, dermatitis, metal implants under electrodes)
- criteria identified in safety guidelines for MRI and TMS, in particular metallic implants

To learn more about this study, you or your doctor may contact the study research staff using the contact information provided by the sponsor.
Please refer to this study by its ClinicalTrials.gov identifier (NCT number): NCT05183152
Contact: Jose del R. Millan, PhD | 512-232-8111 | jose.millan@austin.utexas.edu | |
Contact: Hussein Alawieh | 512-373-0535 | hussein@utexas.edu |
United States, Texas | |
The University of Texas at Austin | Recruiting |
Austin, Texas, United States, 78712 | |
Contact: Jose del R. Millan, PhD 512-232-8111 jose.millan@austin.utexas.edu | |
Contact: Hussein Alawieh 5123730535 hussein@utexas.edu |
Principal Investigator: | Jose del R. Millan, PhD | The University of Texas at Austin |
Responsible Party: | University of Texas at Austin |
ClinicalTrials.gov Identifier: | NCT05183152 |
Other Study ID Numbers: |
2020030073 |
First Posted: | January 10, 2022 Key Record Dates |
Last Update Posted: | December 5, 2022 |
Last Verified: | December 2022 |
Individual Participant Data (IPD) Sharing Statement: | |
Plan to Share IPD: | Yes |
Supporting Materials: |
Study Protocol |
Time Frame: | All data will be made available by the online publication date |
Access Criteria: | Data will be placed in public servers for any interested researcher to access it |
Studies a U.S. FDA-regulated Drug Product: | No |
Studies a U.S. FDA-regulated Device Product: | Yes |
motor deficits able-bodied, healthy unilateral and bilateral stroke spinal cord injury |
motor neuron diseases muscular diseases (i.e. myopathy) traumatic or neurological pain movement disorders |
Muscular Diseases Brain Injuries Spinal Cord Injuries Brain Injuries, Traumatic Movement Disorders Motor Neuron Disease Amyotrophic Lateral Sclerosis Disease Wounds and Injuries Motor Disorders Pathologic Processes Brain Diseases |
Central Nervous System Diseases Nervous System Diseases Craniocerebral Trauma Trauma, Nervous System Spinal Cord Diseases Neurodegenerative Diseases Neuromuscular Diseases TDP-43 Proteinopathies Proteostasis Deficiencies Metabolic Diseases Mental Disorders Musculoskeletal Diseases |