Role of biomechanics and muscle activation strategy in the production of endpoint force patterns in the cat hindlimb.
Role of biomechanics and muscle activation strategy in the production of endpoint force patterns in the cat hindlimb.
复制标题
生物力学和肌肉激活策略在猫后肢产生端点力模式中的作用。
DOI:
10.1016/j.jbiomech.2007.06.021
复制
发表时间:
2007
影响因子:
2.4
通讯作者:
Grill,WarrenM
中科院分区:
文献类型:
--
作者:
Lemay,MichelA;Bhowmik-Stoker,Manoshi;McConnell,GeorgeC;Grill,WarrenM
We used a musculoskeletal model of the cat hindlimb to compare the patterns of endpoint forces generated by all possible combination of 12 hindlimb muscles under three different muscle activation rules: homogeneous activation of muscles based on uniform activation levels, homogeneous activation of muscles based on uniform (normalized) force production, and activation based on the topography of spinal motoneuron pools. Force patterns were compared with the patterns obtained experimentally by microstimulation of the lumbar spinal cord in spinal intact cats. Magnitude and orientation of the force patterns were compared, as well as the proportion of the types found, and the proportions of patterns exhibiting points of zero force (equilibrium points). The force patterns obtained with the homogenous activation and motoneuron topography models were quite similar to those measured experimentally, with the differences being larger for the patterns from the normalized endpoint forces model. Differences in the proportions of types of force patterns between the three models and the experimental results were significant for each model. Both homogeneous activation and normalized endpoint force models produced similar proportions of equilibrium points as found experimentally. The results suggest that muscle biomechanics play an important role in limiting the number of endpoint force pattern types, and that muscle combinations activated at similar levels reproduced best the experimental results obtained with intraspinal microstimulation.
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DOI:
10.1523/jneurosci.22-18-08170.2002
发表时间:
2002
期刊:
The Journal of Neuroscience
影响因子:
--
作者:
A. Levinsson;H. Holmberg;J. Broman;Mengliang Zhang;J. Schouenborg
通讯作者:
J. Schouenborg
DOI:
10.1109/tnsre.2003.823268
发表时间:
2004-03-01
影响因子:
4.9
作者:
Aoyagi, Y;Mushahwar, VK;Prochazka, A
通讯作者:
Prochazka, A
影响因子:
2.5
作者:
Ting, LH;Macpherson, JM
通讯作者:
Macpherson, JM
影响因子:
2.5
作者:
Lemay, MA;Grill, WM
通讯作者:
Grill, WM
DOI:
10.1073/pnas.0500199102
发表时间:
2005-02-22
影响因子:
11.1
作者:
d'Avella, A;Bizzi, E
通讯作者:
Bizzi, E