The goal of the National Center for Simulation in Rehabilitation Research (NCSRR) is to equip the rehabilitation research community with state-of-the-art simulation tools, enabling investigators to complement experimental studies of human performance with advanced simulation software and biomechanical models. Users of this technology will focus on critical areas of medical rehabilitation, including stroke, spinal cord injury, cerebral palsy, rehabilitation robotics, prosthetics, osteoarthritis, and other areas. We propose the following specific aims: 1. Develop and disseminate the world's most advanced technology for simulation of musculoskeletal dynamics and accelerate its appropriate use in rehabilitation research. 2. Provide technical support to OpenSim users engaged in medical rehabilitation research. 3. Train 500 rehabilitation scientists in the use of simulations via intensive multiday workshops and introduce over 1000 movement scientists, rehabilitation specialists, physicians and surgeons to the strengths and limitations of musculoskeletal simulation. 4. Award grants to innovative and meritorious projects to accelerate the use of simulations in rehabilitation research and advance medical rehabilitation. 5. Build an international community of simulation experts to support the NCSRR mission. The development and dissemination of open software for the movement science and rehabilitation communities addresses a critical barrier to progress in the field. The software is designed in close partnershi with rehabilitation scientists and physicians to address critical, clinically motivated questions across the spectrum of medical rehabilitation. Over its first five years, the NCSRR has fostered a rapidly growing community of rehabilitation scientists who are actively engaged in this process. We have delivered our software to 18,000 users, trained over 900 researchers, and granted over 60 awards that have seeded larger independent grants and numerous publications. We will build on this momentum over the next five years, focusing our technology development, training efforts, and collaborative programs to meet the evolving needs of the rehabilitation research community.

Public Health Relevance

This project will create state-of-the-art simulation software and highly accurate simulations of human movement and use these simulations to improve treatments for individuals with physical disabilities. Hundreds of researchers will contribute thei specialized expertise in muscle biology, neuroscience, bioengineering, computer science, and rehabilitation to identify the mechanisms by which physical impairments limit participation and provide a scientific basis for improving function.

Agency
National Institute of Health (NIH)
Institute
Eunice Kennedy Shriver National Institute of Child Health & Human Development (NICHD)
Type
Resource-Related Research Multi-Component Projects and Centers (P2C)
Project #
2P2CHD065690-06
Application #
9040273
Study Section
Special Emphasis Panel (ZHD1-DSR-T (40))
Program Officer
Nitkin, Ralph M
Project Start
2015-09-17
Project End
2020-06-30
Budget Start
2015-09-17
Budget End
2016-06-30
Support Year
6
Fiscal Year
2015
Total Cost
$1,117,450
Indirect Cost
$414,650
Name
Stanford University
Department
Biomedical Engineering
Type
Schools of Engineering
DUNS #
009214214
City
Stanford
State
CA
Country
United States
Zip Code
94304
Seth, Ajay; Hicks, Jennifer L; Uchida, Thomas K et al. (2018) OpenSim: Simulating musculoskeletal dynamics and neuromuscular control to study human and animal movement. PLoS Comput Biol 14:e1006223
Yong, Jennifer R; Silder, Amy; Montgomery, Kate L et al. (2018) Acute changes in foot strike pattern and cadence affect running parameters associated with tibial stress fractures. J Biomech 76:1-7
Franz, Jason R; Khanchandani, Ashish; McKenny, Hannah et al. (2018) Ankle Rotation and Muscle Loading Effects on the Calcaneal Tendon Moment Arm: An In Vivo Imaging and Modeling Study. Ann Biomed Eng :
Rajagopal, Apoorva; Kidzi?ski, ?ukasz; McGlaughlin, Alec S et al. (2018) Estimating the effect size of surgery to improve walking in children with cerebral palsy from retrospective observational clinical data. Sci Rep 8:16344
Mulugeta, Lealem; Drach, Andrew; Erdemir, Ahmet et al. (2018) Credibility, Replicability, and Reproducibility in Simulation for Biomedicine and Clinical Applications in Neuroscience. Front Neuroinform 12:18
Erdemir, Ahmet; Hunter, Peter J; Holzapfel, Gerhard A et al. (2018) Perspectives on Sharing Models and Related Resources in Computational Biomechanics Research. J Biomech Eng 140:
DeMers, Matthew S; Hicks, Jennifer L; Delp, Scott L (2017) Preparatory co-activation of the ankle muscles may prevent ankle inversion injuries. J Biomech 52:17-23
Thompson, Julie A; Tran, Andrew A; Gatewood, Corey T et al. (2017) Biomechanical Effects of an Injury Prevention Program in Preadolescent Female Soccer Athletes. Am J Sports Med 45:294-301
Althoff, Tim; Sosi?, Rok; Hicks, Jennifer L et al. (2017) Large-scale physical activity data reveal worldwide activity inequality. Nature 547:336-339
Dembia, Christopher L; Silder, Amy; Uchida, Thomas K et al. (2017) Simulating ideal assistive devices to reduce the metabolic cost of walking with heavy loads. PLoS One 12:e0180320

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