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.
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.
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
- Conditions
- Spinal Cord Injury
- 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 group | Role | What they receive |
|---|---|---|
| SCI Static | Experimental | SCI group that practices with a static body-machine map Receives: Device: Customizing the Body-Machine Interface |
| SCI Machine Learning | Experimental | Spinal 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.
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)
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
Change in Strength
This outcome measure measures the changes in upper body strength after training
Measured: Baseline and 8 months
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.
- First posted31 May 2012 (estimated)
- Study startFeb 2013
- Primary completionSep 2022 (estimated)
- Study completionSep 2022 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (2)Papers the sponsor has linked to this study.
- Other trials for Spinal Cord InjuryStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
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)
Sponsor and investigators
- Lead sponsor
- Shirley Ryan AbilityLab
- Sponsor type
- University, hospital or other
- Collaborators
- National Institutes of Health (NIH)
- Responsible party
- Principal investigator, Ferdinando Mussa-Ivaldi, Shirley Ryan AbilityLab
- Investigators
- Ferdinando A Mussa-Ivaldi, PhD, Principal investigator, Northwestern University
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 28413945De 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
Study at a glance
From the registry record, last updated by the sponsor on 15 Nov 2019. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Motor Learning in a Customized Body-Machine Interface for Persons With Paralysis
- ClinicalTrials.gov ID
- NCT01608438
- Acronym / sponsor ID
- BMI / STU00057856
- Conditions
- Spinal Cord Injury
- Keywords
- Body-machine interface, Customization, Upper-body motion, Motor learning, Assistive Devices, Wheelchair, Computer keyboard
- Study type
- Interventional
- Recruitment status
- Unknown status
- Enrolment
- 157 participants (actual)
- Lead sponsor
- Shirley Ryan AbilityLabUniversity, hospital or other
- Collaborators
- National Institutes of Health (NIH)
- Study start
- Feb 2013
- Primary completion
- Sep 2022 (estimated)
- Study completion
- Sep 2022 (estimated)
- First posted
- 31 May 2012 (estimated)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
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.
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
Study design
- Primary purpose
- Supportive care
- Allocation
- Non-randomised
- Intervention model
- Parallel groups
- Masking
- Single blind (participant)
- Number of arms
- 2
| Arm | Type | Receives |
|---|---|---|
| SCI Static | Experimental | Device: Customizing the Body-Machine InterfaceSCI group that practices with a static body-machine map |
| SCI Machine Learning | Experimental | Device: Customizing the Body-Machine InterfaceSpinal Cord Injury patients who practice with a body-machine map that is adapted using machine learning |
Who may qualify
- Ages
- 18 to 65 years
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Adult, Older adult
Key inclusion criteria (4 listed)
- 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
Key exclusion criteria (15 listed)
- 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:
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| Customizing the Body-Machine InterfaceThe 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. | Device | SCI Machine Learning, SCI Static |
Primary outcome
Change in Time to task completion from Baseline at 8 months
Time frame: Baseline and 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.
3 secondary outcomes
Change in Movement Smoothness from Baseline at 8 months
Time frame: Baseline and 8 months
Change in Strength
Time frame: Baseline and 8 months
Change in Mental State
Time frame: Baseline and 8 months
Results and safety
Results are not available in the source record.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 15 Nov 2019.
- Background: PubMed 28413945Abdollahi 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.
- Derived from this study: PubMed 32393288De 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.
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
Ferdinando A Mussa-Ivaldi, PhD principal investigator
Northwestern University
1 site in 1 country: see every site and its status.
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.