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| ID | Type | Description | Link |
|---|---|---|---|
| 1R01AR076153 | U.S. NIH Grant/Contract | View source | |
| 2019-0245 | Other Identifier | CCHMC Institutional Review Board |
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| Name | Class |
|---|---|
| National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS) | NIH |
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The purpose of this study is to determine the neural mechanisms of augmented neuromuscular training (aNMT). Participants will complete a 6-week course of neuromuscular training with either aNMT biofeedback or sham biofeedback. An MRI will be performed before and after the training program.
Anterior cruciate ligament (ACL) injury is a common and debilitating knee injury affecting over 350,000 children or young adults each year, drastically reducing their chances for an active and healthy life. Annual direct costs exceed $13 billion, and the long-term indirect costs far exceed that figure, as ACL injury is also linked to accelerated development of disabling osteoarthritis within a few years after injury. The National Public Health Agenda for Osteoarthritis recommends expanding and refining evidence-based ACL injury prevention to reduce this burden. The investigators have identified modifiable risk factors that predict ACL injury in young female athletes. This neuromuscular training targets those factors and shows statistical efficacy in high-risk athletes, but meaningful transfer of low-risk mechanics to the field of play has been limited, as current approaches are not yet decreasing national ACL injury rates in young female athletes. The key gap is how to target mechanisms that allow transfer of risk-reducing motor control strategies from the intervention to the athletic field. The mechanisms that ultimately make such transfer possible are neural, but thus far injury prevention training focusing on neuromuscular control has not utilized neural outcomes. The investigators published and new preliminary data on neuroplasticity related to injury and neuromuscular training demonstrate the proficiency to capture these neural outcomes and future capability to target these neural mechanisms to improve the rate of motor transfer. The data support this proposal's central hypothesis that increased sensory, visual and motor planning activity to improve motor cortex efficiency is the neural mechanism of adaptation transfer to realistic scenarios. The ability to target the neural mechanisms to increase risk-reducing motor transfer from the clinic to the world could revolutionize ACL injury prevention. The transformative, positive impact of such innovative strategies will enhance the delivery of biofeedback to optimize training and increase the potential for sport transfer. This contribution will be significant for ACL injury prevention and associated long-term sequelae in young females. This unique opportunity to enhance ACL injury prevention by targeting neural mechanisms of neuromuscular adaptation and transfer will reduce the incidence of injuries that cause costly and long-term disabling osteoarthritis.
Participants from the parent study "Real-time Sensorimotor Feedback for Injury Prevention Assessed in Virtual Reality" will be eligible to participate in this study. In the parent study, participants are randomized to receive augmented neuromuscular training (aNMT) or sham biofeedback training that will be evaluated using 3D biomechanical assessments. Enrolled participants into the current ancillary project will complete MRI testing before and after the study training program. The MRI protocol will include high resolution T1-weighted 3D images, motor task-based functional magnetic resonance imaging (fMRI). The fMRI tasks will be focused on motor function, participants will be asked to complete lower extremity movements including knee flexion and extension and a combined hip and knee flexion and extension.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| aNMT Biofeedback | Experimental | Participants randomized to receive a neuromuscular training intervention that incorporates biofeedback training. |
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| Sham Biofeedback | Sham Comparator | Participants randomized to receive a neuromuscular training intervention with sham feedback training. |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| aNMT Biofeedback | Other | aNMT biofeedback is created by calculating kinematic and kinetic data in real-time from the athlete's own movements. These values determine real-time transformations of the stimulus shape the athlete views via augmented-reality (AR) glasses during movement performance. The athlete's task is to move so as to create ("animate") a particular stimulus shape that corresponds to desired values of the biomechanical parameters targeted by the intervention. The aNMT biofeedback occurs during neuromuscular training sessions. The neuromuscular training is a 18 session, pre-season training program occurring over 6 weeks. |
| Measure | Description | Time Frame |
|---|---|---|
| Neural Mechanisms for Injury-resistant Movement Pattern Acquisition | Sensorimotor brain activity was measured in task-based fMRI (% Blood Oxygen Level Dependent (BOLD) Signal change of knee sensorimotor network regions from baseline between rest and move blocks at each respective time point- the standard measure to determine brain activity during a condition is to contrast to rest to remove confounds make the data interpretable across conditions and individuals) and was associated with knee joint biomechanics (knee sagittal and frontal plane angle and moments) captured during landing task during standard laboratory landing assessment pre- and post-intervention. | Baseline (pre-training testing), Week 7 (post-training testing) |
| Knee Joint Biomechanics During Landing Task | Knee joint biomechanics (knee angle) captured during a standard laboratory landing task assessment was reported pre- and post-intervention. The degree of knee angle is the peak knee flexion angle during drop vertical jump landing. | Baseline (pre-training testing), Week 7 (post-training testing) |
| Measure | Description | Time Frame |
|---|---|---|
| Neural Mechanisms for Injury-resistant Movement Pattern Transfer to VR-simulated Sport | Sensorimotor brain activity during task-based fMRI (% Blood Oxygen Level Dependent (BOLD) Signal change of knee sensorimotor network regions from baseline between rest and move blocks at each respective time point- the standard measure to determine brain activity during a condition is to contrast to rest to remove confounds make the data interpretable across conditions and individuals) was assessed and compared to biomechanical movement patterns (knee angle) measured during VR-simulated sport. |
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Inclusion Criteria:
- enrolled in parent study "Real-time Sensorimotor Feedback for Injury Prevention Assessed in Virtual Reality"
Exclusion Criteria:
- contraindications to MRI scan
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| Name | Affiliation | Role |
|---|---|---|
| Gregory D Myer, PhD | Emory University | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Emory Healthcare Sports Performance And Research Center (SPARC) | Flowery Branch | Georgia | 30542 | United States | ||
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| ID | Title | Description |
|---|---|---|
| FG000 | aNMT Biofeedback | Participants randomized to receive a neuromuscular training intervention that incorporates aNMT biofeedback training. aNMT Biofeedback: aNMT biofeedback is created by calculating kinematic and kinetic data in real-time from the athlete's own movements. These values determine real-time transformations of the stimulus shape the athlete views via augmented-reality (AR) glasses during movement performance. The athlete's task is to move so as to create ("animate") a particular stimulus shape that corresponds to desired values of the biomechanical parameters targeted by the intervention. The aNMT biofeedback occurs during neuromuscular training sessions. The neuromuscular training is a 18 session, pre-season training program occurring over 6 weeks. |
| FG001 | Sham Biofeedback | Participants randomized to receive a neuromuscular training intervention with sham feedback training. Sham Biofeedback: Sham biofeedback provides a similar phenomenological experience to aNMT biofeedback for athletes-both groups experience a shape that changes with their movements-but the sham biofeedback will not provide usable information to modify movement parameters during critical movement phases. The sham biofeedback occurs during neuromuscular training sessions. The neuromuscular training is a 18 session, pre-season training program occurring over 6 weeks. |
| Title | Milestones | Reasons Not Completed | |||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Overall Study |
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| ID | Title | Description |
|---|---|---|
| BG000 | aNMT Biofeedback | Female basketball, soccer and volleyball player enrolled in high school or club teams were randomized to receive a neuromuscular training intervention that incorporates biofeedback training. |
| BG001 | Sham Biofeedback |
| Units | Counts |
|---|---|
| Participants |
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| Title | Description | Population Description | Parameter Type | Dispersion Type | Unit of Measure | Calculate Percentage | Denominator Units Selected | Denominators | Classes |
|---|---|---|---|---|---|---|---|---|---|
| Age, Continuous | Mean |
| Type | Title | Description | Population Description | Reporting Status | Anticipated Posting Date | Parameter Type | Dispersion Type | Unit of Measure | Calculate Percentage | Time Frame | Units Analyzed | Denominator Units Selected | Arm/Group Information | Denominators | Classes | Analyses | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Primary | Neural Mechanisms for Injury-resistant Movement Pattern Acquisition | Sensorimotor brain activity was measured in task-based fMRI (% Blood Oxygen Level Dependent (BOLD) Signal change of knee sensorimotor network regions from baseline between rest and move blocks at each respective time point- the standard measure to determine brain activity during a condition is to contrast to rest to remove confounds make the data interpretable across conditions and individuals) and was associated with knee joint biomechanics (knee sagittal and frontal plane angle and moments) captured during landing task during standard laboratory landing assessment pre- and post-intervention. | Number of participants at week 7 post-training includes subjects that were able to attend and complete the visit. | Posted | Mean | Standard Deviation | % BOLD Signal change | Baseline (pre-training testing), Week 7 (post-training testing) |
|
Up to 6 weeks post-intervention
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| ID | Title | Description | Deaths (Affected) | Deaths (At Risk) | Serious Events (Affected) | Serious Events (At Risk) | Other Events (Affected) | Other Events (At Risk) |
|---|---|---|---|---|---|---|---|---|
| EG000 | aNMT Biofeedback | Participants randomized to receive a neuromuscular training intervention that incorporates aNMT biofeedback training. aNMT Biofeedback: aNMT biofeedback is created by calculating kinematic and kinetic data in real-time from the athlete's own movements. These values determine real-time transformations of the stimulus shape the athlete views via augmented-reality (AR) glasses during movement performance. The athlete's task is to move so as to create ("animate") a particular stimulus shape that corresponds to desired values of the biomechanical parameters targeted by the intervention. The aNMT biofeedback occurs during neuromuscular training sessions. The neuromuscular training is a 18 session, pre-season training program occurring over 6 weeks. |
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| Title | Organization | Phone | Extension | |
|---|---|---|---|---|
| Dr. Kim Barber Foss | Emory University | 404-544-1306 | kim.barberfoss@emory.edu |
| Type | Includes Protocol | Includes SAP | Includes ICF | Document Label | Document Date | Document Uploaded Date | Document File Name |
|---|---|---|---|---|---|---|---|
| Prot | Yes | No | No | Study Protocol | Apr 1, 2024 | Apr 10, 2024 | Prot_003.pdf |
| ICF | No | No | Yes | Informed Consent Form | Jun 4, 2021 | Apr 10, 2024 | ICF_004.pdf |
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| ID | Term |
|---|---|
| D000070598 | Anterior Cruciate Ligament Injuries |
| ID | Term |
|---|---|
| D007718 | Knee Injuries |
| D007869 | Leg Injuries |
| D014947 | Wounds and Injuries |
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| Sham Biofeedback | Other | Sham biofeedback provides a similar phenomenological experience to aNMT biofeedback for athletes-both groups experience a shape that changes with their movements-but the sham biofeedback will not provide usable information to modify movement parameters during critical movement phases. The sham biofeedback occurs during neuromuscular training sessions. The neuromuscular training is a 18 session, pre-season training program occurring over 6 weeks. |
|
| Baseline (pre-training testing), Week 7 (post-training testing) |
| Knee Joint Biomechanics During VR-simulated Sport | Biomechanical movement patterns (knee angle) were measured during VR-simulated sport at pre- and post-intervention. The degree of knee angle is the peak knee flexion angle during a sport specific landing task. | Baseline (pre-training testing), Week 7 (post-training testing) |
| Cincinnati Childrens Hospital Medical Center (CCHMC) |
| Cincinnati |
| Ohio |
| 45229 |
| United States |
| Prior Injury |
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| Orthodontia |
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| Cut from team |
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Female basketball, soccer and volleyball players enrolled in high school or club teams were randomized to receive a neuromuscular training intervention that incorporates Sham biofeedback training. |
| BG002 | Total | Total of all reporting groups |
| years |
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| Sex: Female, Male | Count of Participants | Participants |
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| Ethnicity (NIH/OMB) | Count of Participants | Participants |
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| Race (NIH/OMB) | Count of Participants | Participants |
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| Region of Enrollment | Number | participants |
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Participants randomized to receive a neuromuscular training intervention that incorporates aNMT biofeedback training.
aNMT Biofeedback: aNMT biofeedback is created by calculating kinematic and kinetic data in real-time from the athlete's own movements. These values determine real-time transformations of the stimulus shape the athlete views via augmented-reality (AR) glasses during movement performance. The athlete's task is to move so as to create ("animate") a particular stimulus shape that corresponds to desired values of the biomechanical parameters targeted by the intervention. The aNMT biofeedback occurs during neuromuscular training sessions. The neuromuscular training is a 18 session, pre-season training program occurring over 6 weeks.
| OG001 | Sham Biofeedback | Participants randomized to receive a neuromuscular training intervention with sham feedback training. Sham Biofeedback: Sham biofeedback provides a similar phenomenological experience to aNMT biofeedback for athletes-both groups experience a shape that changes with their movements-but the sham biofeedback will not provide usable information to modify movement parameters during critical movement phases. The sham biofeedback occurs during neuromuscular training sessions. The neuromuscular training is a 18 session, pre-season training program occurring over 6 weeks. |
|
|
| Primary | Knee Joint Biomechanics During Landing Task | Knee joint biomechanics (knee angle) captured during a standard laboratory landing task assessment was reported pre- and post-intervention. The degree of knee angle is the peak knee flexion angle during drop vertical jump landing. | Number of participants at week 7 post-training includes subjects that were able to attend and complete the visit. | Posted | Mean | Standard Deviation | Degrees | Baseline (pre-training testing), Week 7 (post-training testing) |
|
|
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| Secondary | Neural Mechanisms for Injury-resistant Movement Pattern Transfer to VR-simulated Sport | Sensorimotor brain activity during task-based fMRI (% Blood Oxygen Level Dependent (BOLD) Signal change of knee sensorimotor network regions from baseline between rest and move blocks at each respective time point- the standard measure to determine brain activity during a condition is to contrast to rest to remove confounds make the data interpretable across conditions and individuals) was assessed and compared to biomechanical movement patterns (knee angle) measured during VR-simulated sport. | Number of participants at week 7 post-training includes subjects that were able to attend and complete the visit. | Posted | Mean | Standard Deviation | % of BOLD signal change | Baseline (pre-training testing), Week 7 (post-training testing) |
|
|
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| Secondary | Knee Joint Biomechanics During VR-simulated Sport | Biomechanical movement patterns (knee angle) were measured during VR-simulated sport at pre- and post-intervention. The degree of knee angle is the peak knee flexion angle during a sport specific landing task. | Number of participants at week 7 post-training includes subjects that were able to attend and complete the visit. | Posted | Mean | Standard Deviation | Degrees | Baseline (pre-training testing), Week 7 (post-training testing) |
|
|
|
| 0 |
| 48 |
| 0 |
| 48 |
| 0 |
| 48 |
| EG001 | Sham Biofeedback | Participants randomized to receive a neuromuscular training intervention with sham feedback training. Sham Biofeedback: Sham biofeedback provides a similar phenomenological experience to aNMT biofeedback for athletes-both groups experience a shape that changes with their movements-but the sham biofeedback will not provide usable information to modify movement parameters during critical movement phases. The sham biofeedback occurs during neuromuscular training sessions. The neuromuscular training is a 18 session, pre-season training program occurring over 6 weeks. | 0 | 45 | 0 | 45 | 0 | 45 |
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| Knee angle at Week 7 (post-training testing) |
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| Week 7 (post-training testing) |
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| Knee angle at Week 7 (post-training testing) |
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