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      Spinal microcircuits comprising dI3 interneurons are necessary for motor functional recovery following spinal cord transection

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          Abstract

          The spinal cord has the capacity to coordinate motor activities such as locomotion. Following spinal transection, functional activity can be regained, to a degree, following motor training. To identify microcircuits involved in this recovery, we studied a population of mouse spinal interneurons known to receive direct afferent inputs and project to intermediate and ventral regions of the spinal cord. We demonstrate that while dI3 interneurons are not necessary for normal locomotor activity, locomotor circuits rhythmically inhibit them and dI3 interneurons can activate these circuits. Removing dI3 interneurons from spinal microcircuits by eliminating their synaptic transmission left locomotion more or less unchanged, but abolished functional recovery, indicating that dI3 interneurons are a necessary cellular substrate for motor system plasticity following transection. We suggest that dI3 interneurons compare inputs from locomotor circuits with sensory afferent inputs to compute sensory prediction errors that then modify locomotor circuits to effect motor recovery.

          DOI: http://dx.doi.org/10.7554/eLife.21715.001

          eLife digest

          Circuits of nerve cells, or neurons, in the spinal cord control movement. After an injury to the spinal cord, the connections between the brain and spinal neurons may be severed, meaning that the spinal circuits can no longer work properly. This loss of communication between the brain and the spinal cord often leads to paralysis below the level of the injury.

          There are currently no effective treatments for individuals who have lost the ability to walk following spinal cord injury. However, the spinal cord retains circuits that are sufficient to restore walking and these circuits can be activated with training. That is, rehabilitative training can lead to improvements in movement by promoting spinal cord plasticity – the ability of other neurons in the spinal cord to take over the roles of the severed neurons. By understanding how rehabilitation leads to these improvements following injury, new strategies could be developed to optimize the recovery process.

          Previous research showed that spinal neurons called dI3 interneurons are involved in short term adjustments of movement. Could these interneurons also be involved in longer term adaptations?

          Bui, Stifani et al. compared normal mice with genetically engineered mice that had dI3 interneurons “removed” from their circuits. This revealed that although dI3 interneurons in mice are integrated with spinal circuits that are involved in walking, they are not necessary for normal walking. Following the severing of the spinal cord, the experimental mice, unlike the normal mice, did not recover the ability to step. Thus, circuits comprising dI3 interneurons are necessary for recovering the ability to move after an injury.

          Now that Bui, Stifani et al. have identified this essential circuit, the next step is to investigate how dI3 interneurons promote spinal cord plasticity. Understanding these mechanisms could help to develop therapies that enhance rehabilitation-assisted improvement of movement following spinal cord injury.

          DOI: http://dx.doi.org/10.7554/eLife.21715.002

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          Most cited references56

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          NIH Image to ImageJ: 25 years of image analysis.

          For the past 25 years NIH Image and ImageJ software have been pioneers as open tools for the analysis of scientific images. We discuss the origins, challenges and solutions of these two programs, and how their history can serve to advise and inform other software projects.
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            Principles of sensorimotor learning.

            The exploits of Martina Navratilova and Roger Federer represent the pinnacle of motor learning. However, when considering the range and complexity of the processes that are involved in motor learning, even the mere mortals among us exhibit abilities that are impressive. We exercise these abilities when taking up new activities - whether it is snowboarding or ballroom dancing - but also engage in substantial motor learning on a daily basis as we adapt to changes in our environment, manipulate new objects and refine existing skills. Here we review recent research in human motor learning with an emphasis on the computational mechanisms that are involved.
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              Decoding the organization of spinal circuits that control locomotion.

              Ole Kiehn (2016)
              Unravelling the functional operation of neuronal networks and linking cellular activity to specific behavioural outcomes are among the biggest challenges in neuroscience. In this broad field of research, substantial progress has been made in studies of the spinal networks that control locomotion. Through united efforts using electrophysiological and molecular genetic network approaches and behavioural studies in phylogenetically diverse experimental models, the organization of locomotor networks has begun to be decoded. The emergent themes from this research are that the locomotor networks have a modular organization with distinct transmitter and molecular codes and that their organization is reconfigured with changes to the speed of locomotion or changes in gait.
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                Author and article information

                Contributors
                Role: Reviewing editor
                Journal
                eLife
                Elife
                eLife
                eLife
                eLife
                eLife Sciences Publications, Ltd
                2050-084X
                15 December 2016
                2016
                : 5
                : e21715
                Affiliations
                [1 ]deptDepartment of Biology , Brain and Mind Research Institute, University of Ottawa , Ottawa, Canada
                [2 ]deptDepartment of Medical Neuroscience , Dalhousie University , Halifax, Canada
                [3 ]deptDivision of Neurosurgery, Department of Surgery , Dalhousie University , Halifax, Canada
                [4 ]deptSobell Department of Motor Neuroscience and Movement Disorders, Institute of Neurology , University College London , London, United Kingdom
                [5]Karolinska Institutet , Sweden
                [6]Karolinska Institutet , Sweden
                Author notes
                [†]

                These authors contributed equally to this work.

                Author information
                http://orcid.org/0000-0003-0024-1544
                http://orcid.org/0000-0001-8584-9561
                http://orcid.org/0000-0001-5135-2725
                Article
                21715
                10.7554/eLife.21715
                5218533
                27977000
                378033c0-536e-4082-aa5a-bc11f08bf431
                © 2016, Bui et al

                This article is distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use and redistribution provided that the original author and source are credited.

                History
                : 21 September 2016
                : 12 December 2016
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100000024, Canadian Institutes of Health Research;
                Award ID: Operating grant, FRN 79413
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100000194, Nova Scotia Health Research Foundation;
                Award ID: Post-doctoral fellowship
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100000038, Natural Sciences and Engineering Research Council of Canada;
                Award ID: Discovery grant, RGPIN-2015-06403
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100001804, Canada Research Chairs;
                Award ID: Research Chair
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100000024, Canadian Institutes of Health Research;
                Award ID: Fellowship
                Award Recipient :
                The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.
                Categories
                Research Article
                Neuroscience
                Custom metadata
                2.5
                A genetically-defined population of spinal interneurons is reciprocally connected with spinal locomotor circuits and mediates recovery of locomotor function following spinal cord transection.

                Life sciences
                sensory prediction error,motor learning,comparator neurons,spinal cord injury,treadmill training,mouse

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