The overall goal of this PCCTR is to address three major barriers to increase capacity for CAM research at Michigan State University College of Osteopathic Medicine (MSUCOM): 1) the lack of standardized, objective instruments and measures for characterizing and optimizing osteopathic manipulative therapy (OMT) interventions, 2) the lack of visible ongoing OMT research programs and 3) the lack of research training of clinical faculty. The rationale for the three research projects is based on the overall hypothesis that OMT affects some aspects of sensory and/or motor functions of the musculoskeletal system. Thus, improvement in performance of such a system should serve as an objective outcome measure. In project one, a systems science approach will be applied to identify deficits in postural control of individuals with low back pain (LBP) and assess the effects of OMT on postural control. A parallel robot device, programmed to mimic unstable sitting on a half-cylinder, will be used to quantify balance and postural control before and after 4 weeks of OMT in a cross-over experimental design. Project two will investigate whether OMT can mitigate adverse effects from a sudden, unexpected trunk perturbation by resulting in a faster and more accurate response of the postural control system to such an event in patients in LBP. The speed of the control system and its accuracy will be quantified before and after 4 weeks of OMT in a cross-over experimental design. Project three will develop clinical research tools for the assessment of motor control of the head-neck system. Using a cross-over experimental design, these tools will then be applied to measure changes in position and force control of the head-neck system in patients with and without neck pain before and after 4 weeks of OMT.
Low back and neck pain are common neuromusculoskeletal problems that have a large impact on healthcare costs in the US. The three projects address a common need for developing objective clinical outcome measures of osteopathic manipulative therapies (OMT) used in the treatment of such disorders. These measures can be used to evaluate the efficacy of OMT, and to standardize and optimize treatment.
|Ramadan, Ahmed; Boss, Connor; Choi, Jongeun et al. (2018) Selecting Sensitive Parameter Subsets in Dynamical Models With Application to Biomechanical System Identification. J Biomech Eng 140:|
|Ramadan, Ahmed; Cholewicki, Jacek; Radcliffe, Clark J et al. (2017) Reliability of assessing postural control during seated balancing using a physical human-robot interaction. J Biomech 64:198-205|
|Azadinia, Fatemeh; Ebrahimi Takamjani, Esmaeil; Kamyab, Mojtaba et al. (2017) Can lumbosacral orthoses cause trunk muscle weakness? A systematic review of literature. Spine J 17:589-602|
|Priess, M Cody; Conway, Richard; Choi, Jongeun et al. (2015) Solutions to the Inverse LQR Problem with Application to Biological Systems Analysis. IEEE Trans Control Syst Technol 23:770-777|
|Popovich Jr, John M; Reeves, N Peter; Priess, M Cody et al. (2015) Quantitative measures of sagittal plane head-neck control: a test-retest reliability study. J Biomech 48:549-54|
|Reeves, N Peter; Popovich Jr, John M; Priess, M Cody et al. (2014) Reliability of assessing trunk motor control using position and force tracking and stabilization tasks. J Biomech 47:44-9|