Reaching for objects is a natural and common behavior. A great deal of behavioral and physiological effort has been devoted to understanding reaching behavior. This project is the continuation of a unique attempt to understand how humans are able to reach accurately despite the highly variable dynamics of their own movement patterns. Specifically, this project attempts to understand reaches involving simultaneous extension of the arm and torso rotation. The project was originally based on the observation that when we turn and reach for an object, the Coriolis forces generated between the torso and arm are orders of magnitude greater than the interaction forces generated between brachial segments during simple reaches not involving trunk rotation. If dynamic perturbations of this type and magnitude are applied to the arm by a robotic manipulandum, large movement errors result. Subjects can learn to move accurately again through repetition but the adaptation does not generalize far beyond the workspace region in which the mechanical perturbation was experienced. In the first five years of this project, we showed that 1) humans can create vastly different Coriolis forces during different reaches, 2) these force variations have no discernible effect on the accuracy of turn and reach movements, 3) this accuracy is achieved through both feedforward compensation for anticipated Coriolis forces and on-line compensations, 4) adaptive self re-calibration of feedforward mechanisms is possible, and 5) signals about foot-centric torso rotation are implicated in re-calibration. Our new aims include 1) understanding the control of posture and gaze during turn and reach movements and 2) discriminating feed forward and feedback mechanisms in reaching movements made during passive body rotation. The experimental findings and analyses will provide a comprehensive evaluation of the role of feedforward predictive mechanisms in the control of reaching movements involving body rotation.

Public Health Relevance

Coordination of limb and whole body movements is the essence of mastering difficult sports activities. Deficits of turning behaviors are prevalent in clinical groups including vestibular loss patients and Parkinson's disease as well as in aging. Falls that occur during turning are more likely to result in serious injury than falls during standing or straight line walking. Our studies will provide a better understanding of how challenging it is to perform turn and reach movements and gaze shifts and of the mechanisms by which a healthy neuromotor system compensates for the risks involved.

Agency
National Institute of Health (NIH)
Institute
National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS)
Type
Research Project (R01)
Project #
5R01AR048546-07
Application #
7914433
Study Section
Sensorimotor Integration Study Section (SMI)
Program Officer
Panagis, James S
Project Start
2002-04-01
Project End
2012-07-31
Budget Start
2010-08-01
Budget End
2012-07-31
Support Year
7
Fiscal Year
2010
Total Cost
$401,107
Indirect Cost
Name
Brandeis University
Department
Type
Organized Research Units
DUNS #
616845814
City
Waltham
State
MA
Country
United States
Zip Code
02454
Bakshi, Avijit; Ventura, Joel; DiZio, Paul et al. (2014) Adaptation to Coriolis perturbations of voluntary body sway transfers to preprogrammed fall-recovery behavior. J Neurophysiol 111:977-83
Bakshi, Avijit; DiZio, Paul; Lackner, James R (2014) Statistical analysis of quiet stance sway in 2-D. Exp Brain Res 232:1095-108
Pigeon, Pascale; Dizio, Paul; Lackner, James R (2013) Immediate compensation for variations in self-generated Coriolis torques related to body dynamics and carried objects. J Neurophysiol 110:1370-84
Piovesan, Davide; Pierobon, Alberto; DiZio, Paul et al. (2013) Experimental measure of arm stiffness during single reaching movements with a time-frequency analysis. J Neurophysiol 110:2484-96
Piovesan, Davide; Pierobon, Alberto; DiZio, Paul et al. (2012) Measuring multi-joint stiffness during single movements: numerical validation of a novel time-frequency approach. PLoS One 7:e33086
Piovesan, Davide; Pierobon, Alberto; Dizio, Paul et al. (2011) Comparative analysis of methods for estimating arm segment parameters and joint torques from inverse dynamics. J Biomech Eng 133:031003
Lackner, James R; DiZio, Paul (2010) Audiogravic and oculogravic illusions represent a unified spatial remapping. Exp Brain Res 202:513-8
Lackner, James R; DiZio, Paul (2009) Control and calibration of multi-segment reaching movements. Adv Exp Med Biol 629:681-98
Piovesan, Davide; DiZio, Paul; Lackner, James R (2009) A new time-frequency approach to estimate single joint upper limb impedance. Conf Proc IEEE Eng Med Biol Soc 2009:1282-5
Bortolami, Simone B; Pigeon, Pascale; Dizio, Paul et al. (2008) Dynamics model for analyzing reaching movements during active and passive torso rotation. Exp Brain Res 187:525-34

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