iBCI Optimization for Veterans With Paralysis
Enhancement and Optimization of a Mobile iBCI for Veterans With Paralysis
2 other identifiers
interventional
2
1 country
1
Brief Summary
VA research has been advancing a high-performance brain-computer interface (BCI) to improve independence for Veterans and others living with tetraplegia or the inability to speak resulting from amyotrophic lateral sclerosis, spinal cord injury or stoke. In this project, the investigators enhance deep learning neural network decoders and multi-state gesture decoding for increased accuracy and reliability and deploy them on a battery-powered mobile BCI device for independent use of computers and touch-enabled mobile devices at home. The accuracy and usability of the mobile iBCI will be evaluated with participants already enrolled separately in the investigational clinical trial of the BrainGate neural interface.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at below P25 for not_applicable
Started Jun 2026
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
July 18, 2022
CompletedFirst Posted
Study publicly available on registry
July 22, 2022
CompletedStudy Start
First participant enrolled
June 16, 2026
ExpectedPrimary Completion
Last participant's last visit for primary outcome
June 30, 2027
Study Completion
Last participant's last visit for all outcomes
June 30, 2027
February 23, 2026
February 1, 2026
1 year
July 18, 2022
February 19, 2026
Conditions
Outcome Measures
Primary Outcomes (1)
Closed-loop performance in an iBCI cursor task
Rate of successful closed-loop acquisition of on-screen targets using imagined gestures to move a computer cursor or to select icons on a computer screen.
through study completion, average of 1 month
Study Arms (1)
Evaluation of an enhanced iBCI
EXPERIMENTALPerformance of new decoding algorithms and methods will be developed and embedded in a small, mobile neural processor. The utility of these will be assessed separately with participants in the BrainGate pilot clinical trial, IDE.
Interventions
An embedded neural signal processor device will be evaluated for its ability to provide accurate and reliable closed-loop control in a home-based brain-computer interface.
Eligibility Criteria
You may qualify if:
- Informally, participants will be tetraplegic or anarthric with little or no functional use of the arms and legs
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Providence VA Medical Center, Providence, RI
Providence, Rhode Island, 02908-4734, United States
Related Links
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
John D Simeral, PhD
Providence VA Medical Center, Providence, RI
Central Study Contacts
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- NA
- Masking
- NONE
- Purpose
- OTHER
- Intervention Model
- SINGLE GROUP
- Sponsor Type
- FED
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
July 18, 2022
First Posted
July 22, 2022
Study Start (Estimated)
June 16, 2026
Primary Completion (Estimated)
June 30, 2027
Study Completion (Estimated)
June 30, 2027
Last Updated
February 23, 2026
Record last verified: 2026-02
Data Sharing
- IPD Sharing
- Will not share
Certain clinical data collected in this study are subject to institutional policies and local, state, and Federal laws and regulations, including the HIPAA Privacy Rule, which limit the distribution of such data in order to maintain the rights and privacy of research participants. Figuring out how to truly de-identify datasets, particularly given the range of potential neurological and psychiatric insights that one could, in the future, make from these data, is a considerable ethical challenge. Limited data resulting from this study will be released in association with peer-reviewed manuscripts to provide for independent validation of manuscript results and methods by others in the field. Due to the unique nature of this human trial data, it is expected that consultation with the authors will be required for external parties to perform accurate, appropriate, and meaningful secondary analyses.