The mechanical stability properties of hindlimb-hindlimb wiping movements of the spinalized frog were examined. One hindlimb, the wiping limb, was implanted with 12 electromyographic (EMG) electrodes and attached to a robot that both recorded its trajectory and applied brief force perturbations. Cutaneous electrical stimulation was applied to the other hindlimb, the target limb, to evoke the hindlimb-hindlimb wiping reflex. Kinematic and EMG data from both unperturbed trials and trials in which a phasic perturbation was applied were collected from each spinalized frog. In the perturbed behaviors, we found that the initially large displacement attributable to the perturbation was compensated such that the final position was statistically indistinguishable from the unperturbed final position in all of the frogs, thus indicating the dynamic stability of these movements. This stability was robust to the range of perturbation amplitudes and nominal kinematic variation observed in this study. In addition, we investigated the extent to which intrinsic viscoelastic properties of the limb and proprioceptive feedback play a role in stabilizing the movements. No significant changes were seen in the EMGs after the perturbation. Furthermore, deafferentation of the wiping limb did not significantly affect the stability of the wiping reflex. Thus, we found that the intrinsic viscoelastic properties of the hindlimb conferred robust stability properties to the hindlimb-hindlimb wiping behavior. This stability mechanism may simplify the control required by the frog spinal motor systems to produce successful movements in an unpredictable and varying environment.
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http://dx.doi.org/10.1523/JNEUROSCI.4945-04.2005 | DOI Listing |
Dev Biol
March 2025
School of Biological and Chemical Sciences, University of Galway, Biomedical Sciences Building, Newcastle Road, Galway, H91 W2TY, Ireland. Electronic address:
Spinal cord injury in humans is a life-changing condition with no effective treatment. However, many non-mammalian vertebrates can fully regenerate their spinal cord after injury. Frogs such as Xenopus can regenerate the spinal cord at larval stages, but lose this capacity at metamorphosis.
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December 2024
School of Biological and Chemical Sciences, University of Galway, Galway, Ireland.
Marcks and Marcksl1 are abundant proteins that shuttle between the cytoplasm and membrane to modulate multiple cellular processes, including cytoskeletal dynamics, proliferation, and secretion. Here, we performed loss- and gain-of-function experiments in to reveal the novel roles of these proteins in spinal cord development and regeneration. We show that Marcks and Marcksl1 have partly redundant functions and are required for normal neurite formation and proliferation of neuro-glial progenitors during embryonic spinal cord development and for its regeneration during tadpole stages.
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October 2024
Precision Medicine Program, College of Graduate Studies, Midwestern University, Downers Grove, IL 60515, USA.
This review explores the regenerative capacity of , focusing on tail regeneration, as a model to uncover cellular, molecular, and developmental mechanisms underlying tissue repair. tadpoles provide unique insights into regenerative biology due to their regeneration-competent and -incompetent stages and ability to regrow complex structures in the tail, including the spinal cord, muscle, and skin, after amputation. The review delves into the roles of key signaling pathways, such as those involving reactive oxygen species (ROS) and signaling molecules like BMPs and FGFs, in orchestrating cellular responses during regeneration.
View Article and Find Full Text PDFeNeuro
November 2024
Neurobiology and Anatomy, and Marion Murray Spinal Cord Research Center, Drexel University College of Medicine, Philadelphia, Pennsylvania 19129
Here we test the stochastic dynamic operator (SDO) as a new framework for describing physiological signal dynamics relative to spiking or stimulus events. The SDO is a natural extension of existing spike-triggered average (STA) or stimulus-triggered average techniques currently used in neural analysis. It extends the classic STA to cover state-dependent and probabilistic responses where STA may fail.
View Article and Find Full Text PDFJ Neurosci
October 2024
Department of Neurosciences, Case Western Reserve University, Cleveland, Ohio 44106
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