Computational model of precision grip in Parkinson's disease: a utility based approach

Frontiers in Computational Neuroscience
Ankur GuptaV Srinivasa Chakravarthy

Abstract

We propose a computational model of Precision Grip (PG) performance in normal subjects and Parkinson's Disease (PD) patients. Prior studies on grip force generation in PD patients show an increase in grip force during ON medication and an increase in the variability of the grip force during OFF medication (Ingvarsson et al., 1997; Fellows et al., 1998). Changes in grip force generation in dopamine-deficient PD conditions strongly suggest contribution of the Basal Ganglia, a deep brain system having a crucial role in translating dopamine signals to decision making. The present approach is to treat the problem of modeling grip force generation as a problem of action selection, which is one of the key functions of the Basal Ganglia. The model consists of two components: (1) the sensory-motor loop component, and (2) the Basal Ganglia component. The sensory-motor loop component converts a reference position and a reference grip force, into lift force and grip force profiles, respectively. These two forces cooperate in grip-lifting a load. The sensory-motor loop component also includes a plant model that represents the interaction between two fingers involved in PG, and the object to be lifted. The Basal Ganglia component is modeled ...Continue Reading

Citations

Jun 16, 2015·Frontiers in Neuroscience·Alekhya MandaliAhmed A Moustafa
Apr 9, 2015·Frontiers in Computational Neuroscience·Ahmed A Moustafa
Sep 6, 2014·Frontiers in Systems Neuroscience·Ahmed A MoustafaHagai Bergman
Jan 26, 2017·Frontiers in Human Neuroscience·Vignesh MuralidharanAhmed A Moustafa

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