The long-term goal of this research is to understand how the nervous system combines information from multiple senses for the control of multisegment human upright stance. Imbalance is a major cause of fall- related injuries, whose cost to the health-care system is expected to exceed $32B by 2020. Current interventions to improve balance and reduce the risk for falls lack a theoretical framework because the mechanisms by which they affect postural control processes are not well understood. Until the control processes underlying a balance deficit are understood, rehabilitative programs will continue to intervene in costly and time-consuming non-specific ways. This proposal emphasizes an experimental strategy designed to probe the underlying postural control loop in patient populations with far more certainty than present methods. Ten experiments will investigate three specific aims. I. To identify open-loop frequency response functions characterizing multijoint postural control. II. To investigate the dynamics of intermodality reweighting. III. To investigate the adaptability of the multijoint control strategy in bilateral vestibular loss (BVL) patients. We propose to build on the findings from previous grant cycles focusing on the properties of multisensory reweighting by manipulating different combinations of two sensory inputs. In addition, we will expand a system identification technique previously developed for single-joint postural control. Multiple, simultaneous, mechanical and sensory perturbations will identify how muscular activity translates into control of body segment positions (the plant) and how, in turn, body segment positions translate into new muscular activity (feedback). This identification will be achieved within the context of the multi-joint body, whose relative configuration must be incorporated into the estimate of body dynamics. Finally, healthy and bilateral vestibular loss individuals will be compared with these identification techniques to determine how loss of vestibular function disrupts the plant and feedback control loops. With such knowledge, rehabilitative efforts may then emphasize methods that focus on a particular process within the control loop to optimize rehabilitation, leading to more effective, targeted care and reduction of health care costs.
The long-term goal of this research is to understand how the nervous system fuses information from multiple sensory systems for the control of multisegment human upright stance. The significance to society is that the neural/biomechanical systems involved in bipedal balance are subject to injury and dysfunction, leading to poor balance control with limited treatment options. Imbalance is a major cause of falls and in older adults is strongly associated with functional decline and frailty. The cost to society is enormous. Total costs of fall injuries for people 65+ in 1994 were $20.4 B and are expected to exceed $32B by 2020, leading Congress to institute legislation expanding fall-related research and fall-risk reduction programs (House Resolution 3695, 2002).
| Hwang, Sungjae; Agada, Peter; Grill, Stephen et al. (2016) A central processing sensory deficit with Parkinson's disease. Exp Brain Res 234:2369-79 |
| Hwang, Sungjae; Agada, Peter; Kiemel, Tim et al. (2016) Identification of the Unstable Human Postural Control System. Front Syst Neurosci 10:22 |
| Hwang, Sungjae; Agada, Peter; Kiemel, Tim et al. (2014) Dynamic reweighting of three modalities for sensor fusion. PLoS One 9:e88132 |
| Logan, David; Kiemel, Tim; Jeka, John J (2014) Asymmetric sensory reweighting in human upright stance. PLoS One 9:e100418 |
| Polastri, Paula F; Barela, José A; Kiemel, Tim et al. (2012) Dynamics of inter-modality re-weighting during human postural control. Exp Brain Res 223:99-108 |
| Kiemel, Tim; Zhang, Yuanfen; Jeka, John J (2011) Visual flow is interpreted relative to multisegment postural control. J Mot Behav 43:237-46 |
| Kiemel, Tim; Zhang, Yuanfen; Jeka, John J (2011) Identification of neural feedback for upright stance in humans: stabilization rather than sway minimization. J Neurosci 31:15144-53 |
| Jeka, John J; Allison, Leslie K; Kiemel, Tim (2010) The dynamics of visual reweighting in healthy and fall-prone older adults. J Mot Behav 42:197-208 |
| Carver, Sean G; Kiemel, Tim; Cowan, Noah J et al. (2009) Optimal motor control may mask sensory dynamics. Biol Cybern 101:35-42 |
| Jeka, John J; Oie, Kelvin S; Kiemel, Tim (2008) Asymmetric adaptation with functional advantage in human sensorimotor control. Exp Brain Res 191:453-63 |
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