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Summary: Virtual reality test could help reduce falls and related injuries in people with multiple sclerosis.
Source: UNC Health Care
People with multiple sclerosis (MS) often have a greatly increased risk of falling and injuring themselves even when they feel they’re able to walk normally. Now a team led by scientists from the UNC School of Medicine has demonstrated what could be a relatively easy method for the early detection of such problems.
The researchers, in a study published in PLoS One, used a virtual reality (VR) system to trick subjects into thinking they were falling as they walked on a treadmill. The scientists found clear differences in reactions between people with MS and people of the same age without MS. These differences were not evident between the groups when they walked in a normal way without the “falling” illusion.
The researchers believe that a VR-based test like this, after further study and development, could be made portable and used widely in neurology clinics to alert MS patients earlier to their balance impairments, allowing them to adopt measures to reduce their risk of falling.
“Our promising results suggest that one can use VR to detect balance problems that usually go undetected until the individual starts experiencing real falls at home or work,” said study principal investigator Jason Franz, PhD, assistant professor in the UNC/NC State Joint Department of Biomedical Engineering.
MS is a brain disease that affects about 400,000 people in the United States and more than 2 million worldwide. It’s widely thought to be caused by inappropriate immune cell activity in the brain and features the loss of the insulating layer of myelin protein around nerve fibers – a loss that degrades the fibers’ abilities to conduct nerve signals. Signs and symptoms of MS include fatigue, numbness and tingling, cognitive impairments, mood instability, and balance and gait problems.
The latter can manifest unexpectedly. People who have MS and show little or no disability may already be at twice the risk of falling, on average, compared to people who don’t have MS. Studies also have found that people who have an MS diagnosis fall at least once per year on average. Many of these falls occur during activities such as walking.
Franz and his colleagues sought to develop a test that would reveal balance and gait impairments even in people with MS who may not be aware of these problems or display them during normal walking. “When we walk around, our brains use a variety of sensory feedback channels, including force sensors in our feet, to guide our movements and make corrections from one step to the next,” Franz said. “But in people with MS, those force sensors can become less reliable, so people need to rely more on other channels, especially vision.”
Franz and colleagues employed a VR device that allows the experimental manipulation of visual perception. Their laboratory device is a like a semi-circular theatre screen that subjects watch while walking on a treadmill. The VR scene depicted a hallway down which the subject seemed to be walking, at the same speed that the subject walked on the treadmill. Sometimes side-to-side wobbles in the scene created the illusion for each subject that he or she was becoming unstable, triggering a corrective reaction that could be measured as a change in gait and foot placement. Franz’s hypothesis was that the MS subjects with balance impairments would differ clearly from normal subjects in these corrective reactions.
The scientists tested 14 people with MS and 14 age-matched non-MS participants. They found that there was indeed a clear difference between the groups in their reactions, but this only became clear when using the VR balance challenge.
“During normal walking without VR – even with our sophisticated lab equipment including a battery of 3D motion capture cameras – we could not effectively distinguish people with MS from the healthy, age-matched individuals,” Franz said. “So this perturbed-walking approach could have a lot of important clinical and translational applications.”
He and his colleagues now are adapting their system for use with consumer-grade VR headsets as a routine diagnostic tool to be used in neurologists’ clinics to detect balance impairments that would otherwise go unrecognized.
They also hope to develop the VR system as a tool of physical therapy to help MS patients improve their balance and thus reduce the risk of falls.
The work was a collaboration between the UNC/NC State Joint Department of Biomedical Engineering, the UNC School of Medicine’s Center for Rehabilitation Care, and the University of Illinois.
Funding: The research was supported by a grant from the National MS Society.
The co-authors of the study besides Jason Franz were Brian Selgrade, PhD, and Diane Meyer of UNC, and Jacob Sosnoff, PhD, of the University of Illinois at Urbana-Champaign.
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Source: UNC Health Care Media Contacts: Press Office – UNC Health Care Image Source: The image is credited to UNC Health Care.
Original Research: Open access “Can optical flow perturbations detect walking balance impairment in people with multiple sclerosis?”. Brian P. Selgrade, Diane Meyer, Jacob J. Sosnoff, Jason R. Franz. PLOS ONE doi:10.1371/journal.pone.0230202.
Can optical flow perturbations detect walking balance impairment in people with multiple sclerosis?
People with multiple sclerosis (PwMS) who exhibit minimal to no disability are still over twice as likely to fall as the general population and many of these falls occur during walking. There is a need for more effective ways to detect preclinical walking balance deficits in PwMS. Therefore, the purpose of this study was to investigate the effects of optical flow perturbations applied using virtual reality on walking balance in PwMS compared to age-matched controls. We hypothesized that susceptibility to perturbations–especially those in the mediolateral direction–would be larger in PwMS compared to controls. Fourteen PwMS and fourteen age-matched controls walked on a treadmill while viewing a virtual hallway with and without optical flow perturbations in the mediolateral or anterior-posterior directions. We quantified foot placement kinematics, gait variability, lateral margin of stability and, in a separate session, performance on the standing sensory organization test (SOT). We found only modest differences between groups during normal, unperturbed walking. These differences were larger and more pervasive in the presence of mediolateral perturbations, evidenced by higher variability in step width, sacrum position, and margin of stability at heel-strike in PwMS than controls. PwMS also performed worse than controls on the SOT, and there was a modest correlation between step width variability during perturbed gait and SOT visual score. In conclusion, mediolateral optical flow perturbations revealed differences in walking balance in PwMS that went undetected during normal, unperturbed walking. Targeting this difference may be a promising approach to more effectively detect preclinical walking balance deficits in PwMS.
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