Activity-dependent synaptic plasticity and the patterning of hemisegmental spinal cord network activity (original) (raw)
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Activity-dependent synaptic plasticity has been proposed as a contributory factor in the patterning of rhythmic network activity. However, its role has not been examined in detail. Here, paired or triple intracellular recordings have been made from identi®ed neurons in the lamprey locomotor network to examine the potential relevance of activity-dependent synaptic plasticity in segmental and intersegmental spinal networks. Segmental inputs from glutamatergic excitatory interneurons (EIN) to ipsilateral glycinergic crossed caudal (CC) interneurons were facilitated or depressed during spike trains at 5±20 Hz. Connections between EINs were depressed. Glycinergic inputs from small ipsilateral inhibitory interneurons were depressed in motor neurons, but were facilitated in CC interneurons. Excitatory inputs from small crossing interneurons to motor neurons were depressed, whereas inhibitory inputs were unaffected. With the exception of connections between EINs, signi®cant effects occurred with stimulation that mimicked interneuron spiking during network activity. Intersegmental EIN synaptic properties were also investigated. EIN inputs did not differ signi®cantly when examined from zero to four segments rostral to motor neurons or CC interneurons. However, caudally located EINs evoked greater activity-dependent facilitation than did rostral EINs. Whilst the amplitude or plasticity of EIN inputs in the rostral or mid-trunk regions of the spinal cord did not differ, EINs in the caudal trunk region evoked greater facilitation. Synaptic transmission between locomotor network neurons thus exhibits activity-dependent plasticity in response to physiologically relevant stimulation. Activity-dependent plasticity could thus contribute to the patterning of the rhythmic network output.
Short-Term Synaptic Plasticity at Interneuronal Synapses Could Sculpt Rhythmic Motor Patterns
The output of a neuronal network depends on the organization and functional properties of its component cells and synapses. While the characterization of synaptic properties has lagged cellular analyses, a potentially important aspect in rhythmically active networks is how network synapses affect, and are in turn affected by, network activity. This could lead to a potential circular interaction where short-term activity-dependent synaptic plasticity is both influenced by and influences the network output. The analysis of synaptic plasticity in the lamprey locomotor network was extended here to characterize the short-term plasticity of connections between network interneurons and to try and address its potential network role. Paired recordings from identified interneurons in quiescent networks showed synapse-specific synaptic properties and plasticity that supported the presence of two hemisegmental groups that could influence bursting: depression in an excitatory interneuron group, and facilitation in an inhibitory feedback circuit. The influence of activity-dependent synaptic plasticity on network activity was investigated experimentally by changing Ringer Ca 2+ levels, and in a simple computer model. A potential caveat of the experimental analyses was that changes in Ringer Ca 2+ (and compensatory adjustments in Mg 2+ in some cases) could alter several other cellular and synaptic properties. Several of these properties were tested, and while there was some variability, these were not usually significantly affected by the Ringer changes. The experimental analyses suggested that depression of excitatory inputs had the strongest influence on the patterning of network activity. The simulation supported a role for this effect, and also suggested that the inhibitory facilitating group could modulate the influence of the excitatory synaptic depression. Short-term activity-dependent synaptic plasticity has not generally been considered in spinal cord models. These results provide further evidence for short-term plasticity between locomotor network interneurons. As this plasticity could influence the patterning of the network output it should be considered as a potential functional component of spinal cord networks.
Paired intracellular recordings have been used to examine the activity-dependent plasticity and neuromodulator-induced metaplasticity of synaptic inputs from identified inhibitory and excitatory interneurons in the lamprey spinal cord. Trains of spikes at 5–20 Hz were used to mimic the frequency of spiking that occurs in network interneurons during NMDA or brainstem-evoked locomotor activity. Inputs from inhibitory and excitatory interneurons exhibited similar activity-dependent changes, with synaptic depression developing during the spike train. The level of depression reached was greater with lower stimulation frequencies. Significant activity-dependent depression of inputs from excitatory interneurons and inhibitory crossed caudal in-terneurons, which are central elements in the patterning of network activity, usually developed between the fifth and tenth spikes in the train. Because these interneurons typically fire bursts of up to five spikes during locomotor activity, this activity-dependent plasticity will presumably not contribute to the patterning of network activity. However, in the presence of the neuromodulators substance P and 5-HT, significant activity-dependent metaplasticity of these inputs developed over the first five spikes in the train. Substance P induced significant activity-dependent depression of inhibitory but potentiation of excitatory interneuron inputs, whereas 5-HT induced significant activity-dependent potentiation of both inhibitory and excita-tory interneuron inputs. Because these metaplastic effects are consistent with the substance P and 5-HT-induced modulation of the network output, activity-dependent metaplasticity could be a potential mechanism underlying the coordination and modulation of rhythmic network activity.
Journal of computational …, 2001
Consequences of synaptic plasticity in the lamprey spinal CPG are analyzed by means of simulations. This is motivated by the effects substance P (a tachykinin) and serotonin (5-hydroxytryptamin; 5-HT) have on synaptic transmission in the locomotor network. Activity-dependent synaptic depression and potentiation have recently been shown experimentally using paired intracellular recordings. Although normally activity-dependent plasticity presumably does not contribute to the patterning of network activity, this changes in the presence of the neuromodulators substance P and 5-HT, which evoke significant plasticity. Substance P can induce a faster and larger depression of inhibitory connections but potentiation of excitatory inputs, whereas 5-HT induces facilitation of both inhibitory and excitatory inputs. Changes in the amplitude of the first postsynaptic potential are also seen. These changes could thus be a potential mechanism underlying the modulatory role these substances have on the rhythmic network activity. The aim of the present study has been to implement the activity dependent synaptic depression and facilitation induced by substance P and 5-HT into two alternative models of the lamprey spinal locomotor network, one relying on reciprocal inhibition for bursting and one in which each hemicord is capable of oscillations. The consequences of the plasticity of inhibitory and excitatory connections are then explored on the network level. In the intact spinal cord, tachykinins and 5-HT, which can be endogenously released, increase and decrease the frequency of the alternating left-right burst pattern, respectively. The frequency decreasing effect of 5-HT has previously been explained based on its conductance decreasing effect on K(Ca) underlying the postspike afterhyperpolarization (AHP). The present simulations show that short-term synaptic plasticity may have strong effects on frequency regulation in the lamprey spinal CPG. In the network model relying on reciprocal inhibition, the observed effects substance P and 5-HT have on network behavior (i.e., a frequency increase and decrease respectively) can to a substantial part be explained by their effects on the total extent and time dynamics of synaptic depression and facilitation. The cellular effects of these substances will in the 5-HT case further contribute to its network effect.
Modelling self-sustained rhythmic activity in lamprey hemisegmental networks
Neurocomputing, 2006
Recent studies of the lamprey spinal cord have shown that hemisegmental preparations can display rhythmic activity in response to a constant input drive. This activity is believed to be generated by a network of recurrently connected excitatory interneurons. A recent study found and characterized self-sustaining rhythmic activity-locomotor bouts-after brief electrical stimulation of hemisegmental preparations. The mechanisms behind the bouts are still unclear. We have developed a computational model of the hemisegmental network. The model addresses the possible involvement of NMDA, AMPA, acetylcholine, and metabotropic glutamate receptors as well as axonal delays in locomotor bouts.
Biological Cybernetics, 1998
The neuronal network underlying lamprey swimming has stimulated extensive modelling on different levels of abstraction. The lamprey swims with a burst frequency ranging from 0.3 to 8-10 Hz with a rostrocaudal lag between bursts in each segment along the spinal cord. The swimming motor pattern is characterized by a burst proportion that is independent of burst frequency and lasts around 30%-40% of the cycle duration. This also applies in preparations in which the reciprocal inhibition in the spinal cord between the left and right side is blocked. A network of coupled excitatory neurons producing hemisegmental oscillations may form the basis of the lamprey central pattern generator (CPG). Here we explored how such networks, in principle, could produce a large frequency range with a constant burst proportion. The computer simulations of the lamprey CPG use simplified, graded output units that could represent populations of neurons and that exhibit adaptation. We investigated the effect of an active modulation of the degree of adaptation of the CPG units to accomplish a constant burst proportion over the whole frequency range when, in addition, each hemisegment is assumed to be self-oscillatory. The degree of adaptation is increased with the degree of stimulation of the network. This will make the bursts terminate earlier at higher burst rates, allowing for a constant burst proportion. Without modulated adaptation the network operates in a limited range of swimming frequencies due to a progressive increase of burst duration with increasing background stimulation. By introducing a modulation of the adaptation, a broad burst frequency range can be produced. The reciprocal inhibition is thus not the primary burst terminating factor, as in many CPG models, and it is mainly responsible for producing alternation between the left and right sides. The results are compared with the Morris-Lecar oscillator model with parameters set to produce a type A and type B oscillator, in which the burst durations stay constant or increase, respectively, when the background stimulation is increased. Here as well, burst duration can be controlled by modulation of the slow variable in a similar way as above. When oscillatory hemisegmental networks are coupled together in a chain a phase lag is produced. The production of a phase lag in chains of such oscillators is compared with chains of Morris-Lecar relaxation oscillators. Models relating to the intact versus isolated spinal cord preparation are discussed, as well as the role of descending inhibition.
Neuronal networks process sensory inputs, perform cognitive functions, and pattern motor outputs. Information on these networks is thus essential to our understanding of nervous system function, and for the rational design of therapies to treat nervous system injury or disease. Insight into neuronal networks could also facilitate the design of artificial devices that are based on or interact with the nervous system. Analyses of neuronal network function have focused on understanding the mechanisms that generate oscillatory network activity. These studies have traditionally been performed in invertebrate or lower vertebrate systems in relation to rhythmic network activity underlying relatively simple functions (respiration, locomotion).These analyses are now being applied to oscillatory networks underlying cognitive functions (memory, perception, consciousness). Understanding any neuronal network will ultimately require the characterisation of the individual components that make up the network and how they interact to generate reliable network outputs. This article will focus on two aspects that have received relatively little attention in traditional network analyses: the role of activity-dependent synaptic plasticity in patterning rhythmic network activity; and the variability of functional synaptic properties and how this could influence network function and plasticity.
Modulation of Cellular and Synaptic Variability in the Lamprey Spinal Cord
Variability is increasingly recognized as a characteristic feature of cellular, synaptic, and network properties. While studies have traditionally focused on mean values, significant effects can result from changes in variance. This study has examined cellular and synaptic variability in the lamprey spinal cord and its modulation by the neuropeptide substance P. Cellular and synaptic variability differed in different types of cell and synapse. Substance P reduced the variability of subthreshold locomotor-related depolarizations and spiking in motor neurons during network activity. These effects were associated with a reduction in the variability of spiking in glutamatergic excitatory network interneurons and with a reduction in the variance of excitatory interneuronevoked excitatory postsynaptic potentials (EPSPs). Substance P also reduced the variance of postsynpatic potentials (PSPs) from crossing inhibitory and excitatory interneurons, but it increased the variance of inhibitory postsynpatic potentials (IPSPs) from ipsilateral inhibitory interneurons. The effects on the variance of different PSPs could occur with or without changes in the PSP amplitude. The reduction in the variance of excitatory interneuron-evoked EPSPs was protein kinase A, calcium, and N-methyl-D-aspartate (NMDA) dependent. The NMDA dependence suggested that substance P was acting postsynaptically. This was supported by the reduced variability of postsynaptic responses to glutamate by substance P. However, ultrastructural analyses suggested that there may also be a presynaptic component to the modulation, because substance P reduced the variability of synaptic vesicle diameters in putative glutamatergic terminals. These results suggest that cellular and synaptic variability can be targeted for modulation, making it an additional source of spinal cord plasticity.
The Journal of Neuroscience, 2005
The spinal network coordinating locomotion in the lamprey serves as a model system, in which it has been possible to elucidate connectivity and cellular mechanisms using the isolated spinal cord. Locomotor burst activity alternates between the left and right side of a segment through reciprocal inhibition. We have recently shown that the burst generation itself in a hemisegment does not require inhibitory mechanisms. The focus of this study is the intrinsic operation of this hemisegmental burst-generating component of the locomotor network.Brief electrical stimulation (0.3 s) of the hemicord evokes long-lasting bouts (>2 min) of bursts (2-15 Hz) in the mid to high-frequency range of locomotion. Bout release is an all-or-none phenomenon requiring a threshold intensity of stimulation and glutamatergic transmission within a population of excitatory interneurons, with axons extending over several segments. The progressive activity-dependent decrease in burst frequency that takes plac...