03907nas a2200361   4500008004100000022001400041245007800055210006900133260001300202300001400215490000800229520287700237653001203114653001303126653002503139653001003164653002603174653001303200653001303213653000903226653001803235653002403253653000903277653002503286653001603311100001303327700001303340700001303353700002103366700002203387700002403409856011203433       2024                        eng d  a1469-779300aMotor learning changes the axon initial segment of the spinal motoneuron.0 aMotor learning changes the axon initial segment of the spinal mo  c2024 May  a2107-21260 v6023 a<p>We are studying the mechanisms of H-reflex operant conditioning, a simple form of learning. Modelling studies in the literature and our previous data suggested that changes in the axon initial segment (AIS) might contribute. To explore this, we used blinded quantitative histological and immunohistochemical methods to study in adult rats the impact of H-reflex conditioning on the AIS of the spinal motoneuron that produces the reflex. Successful, but not unsuccessful, H-reflex up-conditioning was associated with greater AIS length and distance from soma; greater length correlated with greater H-reflex increase. Modelling studies in the literature suggest that these increases may increase motoneuron excitability, supporting the hypothesis that they may contribute to H-reflex increase. Up-conditioning did not affect AIS ankyrin G (AnkG) immunoreactivity (IR), p-p38 protein kinase IR, or GABAergic terminals. Successful, but not unsuccessful, H-reflex down-conditioning was associated with more GABAergic terminals on the AIS, weaker AnkG-IR, and stronger p-p38-IR. More GABAergic terminals and weaker AnkG-IR correlated with greater H-reflex decrease. These changes might potentially contribute to the positive shift in motoneuron firing threshold underlying H-reflex decrease; they are consistent with modelling suggesting that sodium channel change may be responsible. H-reflex down-conditioning did not affect AIS dimensions. This evidence that AIS plasticity is associated with and might contribute to H-reflex conditioning adds to evidence that motor learning involves both spinal and brain plasticity, and both neuronal and synaptic plasticity. AIS properties of spinal motoneurons are likely to reflect the combined influence of all the motor skills that share these motoneurons. KEY POINTS: Neuronal action potentials normally begin in the axon initial segment (AIS). AIS plasticity affects neuronal excitability in development and disease. Whether it does so in learning is unknown. Operant conditioning of a spinal reflex, a simple learning model, changes the rat spinal motoneuron AIS. Successful, but not unsuccessful, H-reflex up-conditioning is associated with greater AIS length and distance from soma. Successful, but not unsuccessful, down-conditioning is associated with more AIS GABAergic terminals, less ankyrin G, and more p-p38 protein kinase. The associations between AIS plasticity and successful H-reflex conditioning are consistent with those between AIS plasticity and functional changes in development and disease, and with those predicted by modelling studies in the literature. Motor learning changes neurons and synapses in spinal cord and brain. Because spinal motoneurons are the final common pathway for behaviour, their AIS properties probably reflect the combined impact of all the behaviours that use these motoneurons.</p>10aAnimals10aAnkyrins10aAxon Initial Segment10aAxons10aConditioning, Operant10aH-Reflex10aLearning10aMale10aMotor Neurons10aNeuronal Plasticity10aRats10aRats, Sprague-Dawley10aSpinal Cord1 aWang, Yu1 aChen, Yi1 aChen, Lu1 aHerron, Bruce, J1 aChen, Xiang, Yang1 aWolpaw, Jonathan, R  uhttps://neurotechcenter.org/publications/2024/motor-learning-changes-axon-initial-segment-spinal-motoneuron02433nas a2200241   4500008004100000022001400041245007500055210006900130260001200199300001400211490000800225520167700233653003001910653001201940653002701952653001101979653002401990653001302014653001302027100002402040700001802064856010902082       2022                        eng d  a1469-779300aHeksor: the central nervous system substrate of an adaptive behaviour.0 aHeksor the central nervous system substrate of an adaptive behav  c08/2022  a3423-34520 v6003 a<p>Over the past half-century, the largely hardwired central nervous system (CNS) of 1970 has become the ubiquitously plastic CNS of today, in which change is the rule not the exception. This transformation complicates a central question in neuroscience: how are adaptive behaviours - behaviours that serve the needs of the individual - acquired and maintained through life? It poses a more basic question: how do many adaptive behaviours share the ubiquitously plastic CNS? This question compels neuroscience to adopt a new paradigm. The core of this paradigm is a CNS entity with unique properties, here given the name heksor from the Greek hexis. A heksor is a distributed network of neurons and synapses that changes itself as needed to maintain the key features of an adaptive behaviour, the features that make the behaviour satisfactory. Through their concurrent changes, the numerous heksors that share the CNS negotiate the properties of the neurons and synapses that they all use. Heksors keep the CNS in a state of negotiated equilibrium that enables each heksor to maintain the key features of its behaviour. The new paradigm based on heksors and the negotiated equilibrium they create is supported by animal and human studies of interactions among new and old adaptive behaviours, explains otherwise inexplicable results, and underlies promising new approaches to restoring behaviours impaired by injury or disease. Furthermore, the paradigm offers new and potentially important answers to extant questions, such as the generation and function of spontaneous neuronal activity, the aetiology of muscle synergies, and the control of homeostatic plasticity.</p>10aAdaptation, Psychological10aAnimals10acentral nervous system10aHumans10aNeuronal Plasticity10aPlastics10aSynapses1 aWolpaw, Jonathan, R1 aKamesar, Adam  uhttps://neurotechcenter.org/publications/2022/heksor-central-nervous-system-substrate-adaptive-behaviour