heksor

  • 文章类型: Journal Article
    我们正在研究H反射操作条件的机制,一种简单的学习形式。文献中的建模研究和我们以前的数据表明,轴突初始段(AIS)的变化可能有所贡献。为了探索这个,我们使用盲法定量组织学和免疫组织化学方法在成年大鼠中研究了H反射调节对产生反射的脊髓运动神经元AIS的影响.成功,但并非不成功,H反射上调与AIS长度和与体细胞的距离更大有关;长度越大,H反射增加越大。文献中的模型研究表明,这些增加可能会增加运动神经元的兴奋性,支持它们可能有助于H反射增加的假设。上调不影响AIS锚蛋白G(AnkG)免疫反应性(IR),p-p38蛋白激酶IR,或GABA能终端。成功,但并非不成功,H反射向下调节与AIS上更多的GABA能终末相关,较弱的AnkG-IR,和更强的p-p38-IR。更多的GABA能终末和较弱的AnkG-IR与更大的H反射降低相关。这些变化可能会导致H反射降低的基础运动神经元放电阈值的正变化;它们与建模一致,表明钠通道变化可能是原因。H反射向下调节不影响AIS尺寸。AIS可塑性与H反射调节相关并可能有助于H反射调节的证据增加了运动学习涉及脊髓和大脑可塑性的证据。以及神经元和突触可塑性。脊髓运动神经元的AIS特性可能反映了共享这些运动神经元的所有运动技能的综合影响。关键点:神经元动作电位通常在轴突起始段(AIS)开始。AIS可塑性影响发育和疾病中的神经元兴奋性。在学习中是否这样做是未知的。脊髓反射的有效调节,一个简单的学习模型,改变大鼠脊髓运动神经元AIS。成功,但并非不成功,H反射上调与AIS长度和与体细胞的距离更大有关。成功,但并非不成功,下调与更多的AISGABA能终端相关,少了一点ankyrinG,和更多的p-p38蛋白激酶。AIS可塑性与成功的H反射调节之间的关联与AIS可塑性与发育和疾病的功能变化之间的关联一致。以及文献中建模研究预测的结果。运动学习改变脊髓和大脑中的神经元和突触。因为脊髓运动神经元是行为的最终共同途径,它们的AIS特性可能反映了使用这些运动神经元的所有行为的综合影响。
    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.
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  • 文章类型: Journal Article
    神经康复现在是神经科学中最令人兴奋的领域之一。认识到中枢神经系统(CNS)在整个生命中保持可塑性,对熟练行为(技能)的新理解,以及用于参与和指导有益可塑性的新颖方法相结合,为恢复因CNS损伤或疾病而受损的技能提供了前所未有的机会。技能的基础是神经元和突触的分布式网络,它们在生活中不断变化,以确保技能表现在获得新技能时保持令人满意,随着增长,老化,和其他生活事件发生。这种底物可以从皮质延伸到脊髓。它最近被命名为“heksor”。\"在这个新的背景下,康复的主要目标是使受损的heksors能够自我修复,以便他们的技能再次得到很好的发挥。特定技能的实践,标准治疗的支柱,通常无法最佳地接合受损CNS中可用的许多部位和种类的可塑性。新的基于非侵入性技术的干预措施可以将有益的可塑性定位到受损HEKSORS的关键部位;这些干预措施可以因此实现更广泛的有益可塑性,从而增强技能恢复。有针对性的可塑性干预措施包括脊髓反射或皮质脊髓运动诱发电位(MEP)的操作性调节,皮质脊髓连接的成对脉冲促进,以及基于脑机接口(BCI)的脑电图(EEG)感觉运动节律训练。脊髓损伤患者的初步研究,中风,或多发性硬化症表明,这些干预措施可以增强技能恢复,而不仅仅是通过特定技能的实践。治疗结束后,修复后的heksors保持了收益。
    Neurorehabilitation is now one of the most exciting areas in neuroscience. Recognition that the central nervous system (CNS) remains plastic through life, new understanding of skilled behaviors (skills), and novel methods for engaging and guiding beneficial plasticity combine to provide unprecedented opportunities for restoring skills impaired by CNS injury or disease. The substrate of a skill is a distributed network of neurons and synapses that changes continually through life to ensure that skill performance remains satisfactory as new skills are acquired, and as growth, aging, and other life events occur. This substrate can extend from cortex to spinal cord. It has recently been given the name \"heksor.\" In this new context, the primary goal of rehabilitation is to enable damaged heksors to repair themselves so that their skills are once again performed well. Skill-specific practice, the mainstay of standard therapy, often fails to optimally engage the many sites and kinds of plasticity available in the damaged CNS. New noninvasive technology-based interventions can target beneficial plasticity to critical sites in damaged heksors; these interventions may thereby enable much wider beneficial plasticity that enhances skill recovery. Targeted-plasticity interventions include operant conditioning of a spinal reflex or corticospinal motor evoked potential (MEP), paired-pulse facilitation of corticospinal connections, and brain-computer interface (BCI)-based training of electroencephalographic (EEG) sensorimotor rhythms. Initial studies in people with spinal cord injury, stroke, or multiple sclerosis show that these interventions can enhance skill recovery beyond that achieved by skill-specific practice alone. After treatment ends, the repaired heksors maintain the benefits.
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