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J Neurophysiol (August 27, 2008). doi:10.1152/jn.90561.2008
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Submitted on May 15, 2008
Revised on August 18, 2008
Accepted on August 21, 2008

Effects of gait variations on grip force coordination during object transport

Priska Gysin1, Terry R. Kaminski1, Chris J. Hass2, Cécile E. Grobet3, and Andrew M. Gordon4*

1 Teachers College, Columbia University
2 University of Florida
3 Institute of Human Movement Sciences and Sport, ETH Zurich
4 Columbia Univiversity

* To whom correspondence should be addressed. E-mail: ag275{at}columbia.edu.

In object transport during unimpeded locomotion, grip force is precisely timed and scaled to the regularly paced sinusoidal inertial force fluctuations. However, it is unknown whether this coupling is due to moment-to-moment predictions of upcoming inertial forces or a longer, generalized time estimate of regularly paced inertial forces generated during the normal gait cycle. Eight subjects transported a grip instrument during five walking conditions, four of which altered the gait cycle. The variations included changes in step length (taking a longer or shorter step) or stepping on and over a stable (predictable) or unstable (unpredictable support surface) obstacle within a series of baseline steps, which resulted in altered frequencies and magnitudes of the inertial forces exerted on the transported object. Except when stepping on the unstable obstacle, a tight temporal coupling between the grip and inertial forces was maintained across gait variations. Precision of this timing varied slightly within the time window for anticipatory grip force control, possibly due to increased attention demands related to some of the step alterations. Furthermore, subjects anticipated variations in inertial force when the gait cycle was altered, with increases or decreases in grip force, relative to the level of the inertial force peaks. Overall, the maintenance of force coupling and scaling across predictable walking conditions suggests that the central nervous system is able to anticipate changes in inertial forces generated by gait variations and to efficiently predict the grip force needed to maintain object stability on a moment-to-moment basis.




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