Microelectrode Brain-Machine Interface for Individuals With Tetraplegia

NCT ID: NCT01364480

Last Updated: 2024-01-09

Study Results

Results available

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Basic Information

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Recruitment Status

TERMINATED

Clinical Phase

NA

Total Enrollment

1 participants

Study Classification

INTERVENTIONAL

Study Start Date

2011-05-01

Study Completion Date

2022-11-26

Brief Summary

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The purpose of this research study is to demonstrate the safety and efficacy of using two NeuroPort Arrays (electrodes) for long-term recording of brain activity.

Detailed Description

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Individuals with tetraplegia (paralysis caused by illness or injury that results in partial or total loss of use of the arms and legs) have intact brain function but are unable to move due to injury or disease affecting the spinal cord, nerves or muscles. Brain-machine interface (BMI) technology is based on the finding that with intact brain function, neural signals are generated even though they are not sent to the arms, hands and legs. By implanting electrodes in the brain, individuals can be trained to send neural signals which are interpreted by a computer and translated to movement which can then be used to control a variety of devices or computer displays.

Conditions

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Tetraplegia Spinal Cord Injury

Study Design

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Allocation Method

NA

Intervention Model

SINGLE_GROUP

Primary Study Purpose

OTHER

Blinding Strategy

NONE

Study Groups

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Brain-Machine Interface Users

All participants enrolled in the study will undergo Implantation of NeuroPort Arrays in the motor cortex. There is no control group.

Group Type EXPERIMENTAL

Implantation of NeuroPort Arrays in the motor cortex

Intervention Type DEVICE

Two Blackrock Microsystems NeuroPort Arrays will be implanted in the motor cortex of study participants.

Interventions

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Implantation of NeuroPort Arrays in the motor cortex

Two Blackrock Microsystems NeuroPort Arrays will be implanted in the motor cortex of study participants.

Intervention Type DEVICE

Other Intervention Names

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neuroprosthetic brain-machine interface brain-computer interface

Eligibility Criteria

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Inclusion Criteria

* Limited or no ability to use both hands due to cervical spinal cord injury or brainstem or spinal stroke
* At least 1 year post-injury
* Live within 1 hour of the University of Pittsburgh and be willing to travel to the University of Pittsburgh once per week for BMI training

Exclusion Criteria

* Certain implanted devices
* Presence of other serious disease or disorder that could affect ability to participate in this study
* Individuals who are immunosuppressed or who have conditions that typically result in immunocompromise
Minimum Eligible Age

18 Years

Maximum Eligible Age

70 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Michael Boninger

OTHER

Sponsor Role lead

Responsible Party

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Michael Boninger

Vice Chair of Research

Responsibility Role SPONSOR_INVESTIGATOR

Principal Investigators

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Michael L Boninger, MD

Role: PRINCIPAL_INVESTIGATOR

University of Pittsburgh

Locations

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University of Pittsburgh

Pittsburgh, Pennsylvania, United States

Site Status

Countries

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United States

References

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Sponheim C, Papadourakis V, Collinger JL, Downey J, Weiss J, Pentousi L, Elliott K, Hatsopoulos NG. Longevity and reliability of chronic unit recordings using the Utah, intracortical multi-electrode arrays. J Neural Eng. 2021 Dec 28;18(6):10.1088/1741-2552/ac3eaf. doi: 10.1088/1741-2552/ac3eaf.

Reference Type DERIVED
PMID: 34847547 (View on PubMed)

Downey JE, Quick KM, Schwed N, Weiss JM, Wittenberg GF, Boninger ML, Collinger JL. The Motor Cortex Has Independent Representations for Ipsilateral and Contralateral Arm Movements But Correlated Representations for Grasping. Cereb Cortex. 2020 Sep 3;30(10):5400-5409. doi: 10.1093/cercor/bhaa120.

Reference Type DERIVED
PMID: 32494819 (View on PubMed)

Downey JE, Schwed N, Chase SM, Schwartz AB, Collinger JL. Intracortical recording stability in human brain-computer interface users. J Neural Eng. 2018 Aug;15(4):046016. doi: 10.1088/1741-2552/aab7a0. Epub 2018 Mar 19.

Reference Type DERIVED
PMID: 29553484 (View on PubMed)

Downey JE, Brane L, Gaunt RA, Tyler-Kabara EC, Boninger ML, Collinger JL. Motor cortical activity changes during neuroprosthetic-controlled object interaction. Sci Rep. 2017 Dec 5;7(1):16947. doi: 10.1038/s41598-017-17222-3.

Reference Type DERIVED
PMID: 29209023 (View on PubMed)

Downey JE, Weiss JM, Muelling K, Venkatraman A, Valois JS, Hebert M, Bagnell JA, Schwartz AB, Collinger JL. Blending of brain-machine interface and vision-guided autonomous robotics improves neuroprosthetic arm performance during grasping. J Neuroeng Rehabil. 2016 Mar 18;13:28. doi: 10.1186/s12984-016-0134-9.

Reference Type DERIVED
PMID: 26987662 (View on PubMed)

Wodlinger B, Downey JE, Tyler-Kabara EC, Schwartz AB, Boninger ML, Collinger JL. Ten-dimensional anthropomorphic arm control in a human brain-machine interface: difficulties, solutions, and limitations. J Neural Eng. 2015 Feb;12(1):016011. doi: 10.1088/1741-2560/12/1/016011. Epub 2014 Dec 16.

Reference Type DERIVED
PMID: 25514320 (View on PubMed)

Collinger JL, Wodlinger B, Downey JE, Wang W, Tyler-Kabara EC, Weber DJ, McMorland AJ, Velliste M, Boninger ML, Schwartz AB. High-performance neuroprosthetic control by an individual with tetraplegia. Lancet. 2013 Feb 16;381(9866):557-64. doi: 10.1016/S0140-6736(12)61816-9. Epub 2012 Dec 17.

Reference Type DERIVED
PMID: 23253623 (View on PubMed)

Provided Documents

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Document Type: Study Protocol and Statistical Analysis Plan

View Document

Document Type: Informed Consent Form

View Document

Other Identifiers

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STUDY19030235

Identifier Type: -

Identifier Source: org_study_id

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