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Spinal Cord InjuryBMINCT01608438

Motor Learning in a Customized Body-Machine Interface

A study testing Customizing the Body-Machine Interface in people with Spinal Cord Injury, run by Shirley Ryan AbilityLab at 1 site in United States.

Unknown status

Status not confirmed. The sponsor has not verified this record for over two years, so it may be out of date.

Official record
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Trial summary

People with tetraplegia often retain some level of mobility of the upper body. The proposed study will test the hypothesis that it is possible to develop personalized interfaces, which utilize the residual mobility to enable paralyzed persons to control computers, wheelchairs and other assistive devices. Read more about this study

Who is it for?
Ages 18 to 65 years
Conditions the study is for
Spinal Cord Injury
What is being tested?
Customizing the Body-Machine Interface
Type of treatment
Medical device
Could I receive a placebo?
No, everyone receives an active treatment
How many people
157 participants
Where
1 siteUnited States
Study dates
Feb 2013to Sep 2022
Phase
Interventional
Are there results?
None posted in the registry

Key requirements

Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.

  • Ages 18 to 65 years
  • All sexes
  • No healthy volunteers
  • Adult, Older adult

Who may be able to join

  • Age 18-65
  • Injuries at C3-C6 level, complete (ASIA A) or incomplete (ASIA B and C)
  • Able to follow simple commands
  • Able to speak or respond to questions

Who cannot join

  • Presence of tremors, spasm and other significant involuntary movements
  • Cognitive impairment
  • Deficit of visuo-spatial orientation
  • Concurrent pressure sores or urinary tract infection
  • (Optional) Additional Exclusion Criteria for evaluation of corticospinal excitability using Transcranial Magnetic Stimulation:
  • Any metal in head with the exception of dental work or any ferromagnetic metal elsewhere in the body. This applies to all metallic hardware such as cochlear implants, or an Internal Pulse Generator or medication pumps, implanted brain electrodes, and peacemaker.
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  • Personal history of epilepsy (untreated with one or a few past episodes), or treated patients
  • Vascular, traumatic, tumoral, infectious, or metabolic lesion of the brain, even without history of seizure, and without anticonvulsant medication
  • Administration of drugs that potentially lower seizure threshold [62], without concomitant administration of anticonvulsant drugs which potentially protect against seizures occurrence
  • Change in dosage for neuro-active medications (Baclophen, Lyrica, Celebrex, Cymbalta, Gapapentin, Naposyn, Diclofenac, Diazapam, Tramadol, etc) within 2 weeks of any study visit.
  • Skull fractures, skull deficits or concussion within the last 6 months
  • unexplained recurring headaches
  • Sleep deprivation, alcoholism
  • Claustrophobia precluding MRI
  • Pregnancy

Trial locations and contacts

1 site in 1 country.

United States1 site
  • Shirley Ryan AbilityLab

    Chicago, Illinois, 60611

Other trials in United States

About this study

Official title: Motor Learning in a Customized Body-Machine Interface for Persons With Paralysis

People with tetraplegia often retain some level of mobility of the upper body. The proposed study will test the hypothesis that it is possible to develop personalized interfaces, which utilize the residual mobility to enable paralyzed persons to control computers, wheelchairs and other assistive devices. If successful the project will result into the establishment of a new family of human-machine interfaces based on wearable sensors that adapt their functions to their users' abilities.

Read the detailed description

The goal of these studies is to enable persons paralyzed by spinal cord injury (SCI) to drive powered wheelchairs and interact with computers by acting through an interface that maximizes the effectiveness of their residual motor function. This is called a "body-machine interface" because it maps the motions of the upper-body (arms and shoulders) to the space of device control signals in an optimal way. In this way, paralyzed persons that cannot operate a joystick controller because of lack of hand mobility can effectively use their whole upper body as virtual joystick device. An important characteristic of the proposed approach is that it is based on the possibility to control a computer or a wheelchair by bodily movements through an interactive learning process, in which the interface adapts itself to the subject's mobility and the subject learns to act through the interface. This study aims at developing and testing the customization of this interface to a group of SCI participants with tetraplegia, resulting from high-level cervical injury. The proposed research is organized in three specific aims:

(Aim 1) To develop new functional capabilities in persons with spinal cord injury by customizing a body-machine interface to their individual upper body mobility. After fitting the interface to the residual movements of each subject, participants will practice computer games aimed at training two classes of control actions: operating a virtual joystick and operating a virtual keyboard. This study will test the ability of the subjects to perform skilled maneuvers with a simulated wheelchair.

(Aim 2.) To test the hypothesis that practicing the upper-body control of personalized interfaces results in significant physical and psychological benefits after spinal-cord injury. A study will evaluate and quantify the impact of the practicing functional upper-body motions on the mobility of the shoulder and arms by conventional clinical methods and by measuring the subjects' ability to generate coordinated upper body movements and to apply isometric forces. Other studies under this aim will evaluate the effects of operating the body-machine interface on musculoskeletal pain and on the mood and mental state of the participants.

(Aim 3) To train spinal-cord injury survivors to skillfully operate a powered wheelchair using their enhanced upper body motor skills and customized interface parameters. Finally, the last study will test the hypothesis that the skills learned through practice in the virtual environment are retained for the control of an actual powered wheelchair. After reaching stable performance in the simulated wheelchair, subjects will practice the control of the physical wheelchair in safe a testing environment.

(Aim 4.) To understand how extensive practice with a body machine interface affects the cortical representation of the trained limbs. A study will evaluate and quantify the impact of the practicing functional upper-body motions on corticospinal excitability as a correlate to sensorimotor skill learning. Participants will meet the inclusion criteria for both the main study and satisfy the additional optional criteria. Participant will practice upper-body movements using the body-machine interface. The study will evaluate the evolution of corticospinal excitability in related areas of the motor cortex during the training compared to the baseline and after a follow-up period.

If successful, this study will lead to effective operation of a highly customized interface that adapts to the residual motor capability of its users. Physical and psychological benefits are expected to derive from the sustained and coordinated activity associated with the use of this body-machine interface

Being tested
Customizing the Body-Machine Interface
Keywords
Body-machine interface, Customization, Upper-body motion, Motor learning, Assistive Devices, Wheelchair, Computer keyboard
Medical subject headings
Spinal Cord Injuries

What participants receive

What participants receive. In a randomised study each person is assigned to one group by chance.

  • Customizing the Body-Machine InterfaceDevice

    The intervention compares two ways of customizing the body-machine interface which will be used for subjects for 40 sessions (spread over 8 months). In one case (SCI static), the body-machine interface is static. In the other case (SCI Machine Learning), there is a machine learning algorithm that adapts to the movements made by the subject.

Study groups in NCT01608438
Study groupRoleWhat they receive
SCI StaticExperimentalSCI group that practices with a static body-machine map
Receives: Device: Customizing the Body-Machine Interface
SCI Machine LearningExperimentalSpinal Cord Injury patients who practice with a body-machine map that is adapted using machine learning
Receives: Device: Customizing the Body-Machine Interface

What is being measured

The primary outcome is the main question the study is designed to answer.

  1. Change in Time to task completion from Baseline at 8 months

    The subjects will perform computer games requiring different data entry tasks (characters, cursor control) and navigate either a virtual or a real obstacle course. This primary outcome measure is the time it takes subjects to complete each task.

    Measured: Baseline and 8 months

Secondary outcomes (3)
  1. Change in Movement Smoothness from Baseline at 8 months

    This outcome measure measures the change in movement smoothness when operating the virtual and real wheelchairs

    Measured: Baseline and 8 months

  2. Change in Strength

    This outcome measure measures the changes in upper body strength after training

    Measured: Baseline and 8 months

  3. Change in Mental State

    This outcome measures measures the change in mental state (as quantified by the State-Trait Anxiety Inventory) after training

    Measured: Baseline and 8 months

Timeline

From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.

  1. First posted31 May 2012 (estimated)
  2. Study startFeb 2013
  3. Primary completionSep 2022 (estimated)
  4. Study completionSep 2022 (estimated)

Resources

More details

For doctors and researchers: how the study is designed, who runs it, and its registry IDs.

Study design
Study type
Interventional
Phase
Phase N/A
Primary purpose
Supportive care
Allocation
Non-randomised
Intervention model
Parallel groups
Masking
Single blind
Who is masked
Participant
Enrolment
157 participants (actual)
IDs, dates and publications
ClinicalTrials.gov ID
NCT01608438
Sponsor's protocol ID
STU00057856
Acronym
BMI
Status last verified
Nov 2019
First submitted
16 Apr 2012
Last updated
15 Nov 2019
Results posted
No
Data monitoring committee
No

Publications

  • Abdollahi F, Farshchiansadegh A, Pierella C, Seanez-Gonzalez I, Thorp E, Lee MH, Ranganathan R, Pedersen J, Chen D, Roth E, Casadio M, Mussa-Ivaldi F. Body-Machine Interface Enables People With Cervical Spinal Cord Injury to Control Devices With Available Body Movements: Proof of Concept. Neurorehabil Neural Repair. 2017 May;31(5):487-493. doi: 10.1177/1545968317693111. Epub 2017 Feb 1.

    PubMed 28413945
  • De Santis D, Mussa-Ivaldi FA. Guiding functional reorganization of motor redundancy using a body-machine interface. J Neuroeng Rehabil. 2020 May 11;17(1):61. doi: 10.1186/s12984-020-00681-7.

    PubMed 32393288

Questions about this trial

What is this clinical trial studying?

A study testing Customizing the Body-Machine Interface in people with Spinal Cord Injury, run by Shirley Ryan AbilityLab at 1 site in United States.

The full registered description is in the About this study section and the official record.

Who may be eligible to take part?

The sponsor lists 4 inclusion and 15 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.

Is this clinical trial currently recruiting?

The record says: status not confirmed, as of the sponsor's last update on 15 Nov 2019. Status can change between updates, so confirm with the study contact before making plans.

Where is the study taking place?

The record lists 1 site in United States. Whether a site is taking part right now should be confirmed with that site. See every site.

What are the possible benefits and risks?

They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.

Are results available for this study?

Results are not available in the source record.

How can a doctor refer a patient or contact the research team?

The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.

What does the primary outcome measure?

Change in Time to task completion from Baseline at 8 months (time frame: Baseline and 8 months). It is what the study was designed to measure, not a finding.

Where can I read the original study information?

On the ClinicalTrials.gov record for NCT01608438, which also lists 2 linked publications.

Does a listing mean the treatment is approved or proven to work?

No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.

How often is this information updated?

AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 15 Nov 2019.

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