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In building internal models of limb dynamics, does the brain use a representation that is optimal for control of inertial objects, or a representation that is closely tied to how peripheral sensors measure limb state?
Interestingly, in mammalian models of limb amputation, the massive recruitment of anti-inflammatory Mϕ and early tuning of the immune microenvironment has been also shown to be responsible for the formation of a transient stage, represented as the interface between two distinct events, the adult wound healing response and developmental processes9,27.
Thus, the inertia would be integrated into internal models of limb biomechanics and therefore accurately predicted during arm movements [7], [8].
In experimental models of limb lengthening, conflicting results have been reported on the effect of the procedure on peripheral nerves.
Kinaesthetic feedback plays an important role in motor control by allowing for error-correction and by contributing in the formation of accurate internal models of limb dynamics [Wolpert et al., 1995; Wolpert and Miall, 1996].
The contributions of passive joint forces, and in particular the consequences of this decoupling from muscle moment arms, have been overlooked in most models of limb joint function, with the exception of [ 36].
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The following mouse models of limb-girdle muscular dystrophies were included in this study: KO-Calpain 3 (models for LGMD2A) (31), KO-Dysferlin (models for LGMD2B) (32), KO-Sgcg (models for LGMD2C) (33) and KO-Sgca (models for LGMD2D) (34).
In a syngeneic murine model of limb ischemia, ESCs or ESC-ECs were delivered by intramuscular (IM), intrafemoral artery (IA), or intrafemoral vein injections (n=5 in each group).
An assessment of limb asymmetry was also performed revealing a non-dominant arm matching advantage but only for children and only in the task requiring interhemispheric transfer of a memory-based model of limb position.
Using a mouse model of limb girdle muscular dystrophy engineered with a null allele of γ-sarcoglycan, we bred the identical γ-sarcoglycan mutation into four different genetic backgrounds.
Figure 2 Modeling of limb neuro-mechanics.
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