Search citation statements
Paper Sections
Citation Types
Year Published
Publication Types
Relationship
Authors
Journals
When activity levels are altered over days, a network of cells is capable of recognizing this perturbation and triggering several distinct compensatory changes that should help to recover and maintain the original activity levels homeostatically. One feature commonly observed after activity blockade has been a compensatory increase in excitatory quantal amplitude. The sensing machinery that detects altered activity levels is a central focus of the field currently, but thus far it has been elusive. The vast majority of studies that reduce network activity also reduce neurotransmission. We address the possibility that reduced neurotransmission can trigger increases in quantal amplitude. In this work, we blocked glutamatergic or GABAA transmission in ovo for 2 days while maintaining relatively normal network activity. We found that reducing GABAA transmission triggered compensatory increases in both GABA and AMPA quantal amplitude in embryonic spinal motoneurons. Glutamatergic blockade had no effect on quantal amplitude. Therefore, GABA binding to the GABAA receptor appears to be a critical step in the sensing machinery for homeostatic synaptic plasticity. The findings suggest that homeostatic increases in quantal amplitude may normally be triggered by reduced levels of activity, which are sensed in the developing spinal cord by GABA, via the GABA A receptor. Therefore, GABA appears to be serving as a proxy for activity levels.activity ͉ neurotransmitter receptor ͉ postsynaptic ͉ synaptic scaling ͉ synaptic plasticity S pontaneous network activity (SNA) is a prominent feature of developing neural networks that consists of episodic bursts of activity separated by periods of quiescence (1-3). SNA is produced by hyperexcitable, recurrently connected circuits in which glutamate and GABA are both excitatory early in development. In the spinal cord, SNA drives embryonic limb movements and is known to be important for various aspects of limb (4) and motoneuron development (5, 6). Reducing spontaneous network activity in the embryonic chick in vivo leads to compensatory increases in the strength of excitatory GABAergic and AMPAergic synapses (7). These compensatory increases in synaptic strength have been described in several systems where they appear to act in a manner to recover and maintain network activity levels homeostatically (homeostatic synaptic plasticity) (8, 9). Activity perturbations lead to several different forms of homeostatic synaptic plasticity, including changes in quantal amplitude, probability of release, and frequency of miniature postsynaptic currents (mPSCs). In the present work, we focus on compensatory changes in quantal (mPSC) amplitude. Changes in mPSC amplitude have been studied intensely in cultured networks where prolonged activity reduction results in an increase in the amplitude of excitatory mPSCs and a decrease in the amplitude of inhibitory mPSCs (10-12). Changes in mPSC amplitude are achieved through alterations in the number of postsynaptic receptors and/or the amount of transmitter re...
When activity levels are altered over days, a network of cells is capable of recognizing this perturbation and triggering several distinct compensatory changes that should help to recover and maintain the original activity levels homeostatically. One feature commonly observed after activity blockade has been a compensatory increase in excitatory quantal amplitude. The sensing machinery that detects altered activity levels is a central focus of the field currently, but thus far it has been elusive. The vast majority of studies that reduce network activity also reduce neurotransmission. We address the possibility that reduced neurotransmission can trigger increases in quantal amplitude. In this work, we blocked glutamatergic or GABAA transmission in ovo for 2 days while maintaining relatively normal network activity. We found that reducing GABAA transmission triggered compensatory increases in both GABA and AMPA quantal amplitude in embryonic spinal motoneurons. Glutamatergic blockade had no effect on quantal amplitude. Therefore, GABA binding to the GABAA receptor appears to be a critical step in the sensing machinery for homeostatic synaptic plasticity. The findings suggest that homeostatic increases in quantal amplitude may normally be triggered by reduced levels of activity, which are sensed in the developing spinal cord by GABA, via the GABA A receptor. Therefore, GABA appears to be serving as a proxy for activity levels.activity ͉ neurotransmitter receptor ͉ postsynaptic ͉ synaptic scaling ͉ synaptic plasticity S pontaneous network activity (SNA) is a prominent feature of developing neural networks that consists of episodic bursts of activity separated by periods of quiescence (1-3). SNA is produced by hyperexcitable, recurrently connected circuits in which glutamate and GABA are both excitatory early in development. In the spinal cord, SNA drives embryonic limb movements and is known to be important for various aspects of limb (4) and motoneuron development (5, 6). Reducing spontaneous network activity in the embryonic chick in vivo leads to compensatory increases in the strength of excitatory GABAergic and AMPAergic synapses (7). These compensatory increases in synaptic strength have been described in several systems where they appear to act in a manner to recover and maintain network activity levels homeostatically (homeostatic synaptic plasticity) (8, 9). Activity perturbations lead to several different forms of homeostatic synaptic plasticity, including changes in quantal amplitude, probability of release, and frequency of miniature postsynaptic currents (mPSCs). In the present work, we focus on compensatory changes in quantal (mPSC) amplitude. Changes in mPSC amplitude have been studied intensely in cultured networks where prolonged activity reduction results in an increase in the amplitude of excitatory mPSCs and a decrease in the amplitude of inhibitory mPSCs (10-12). Changes in mPSC amplitude are achieved through alterations in the number of postsynaptic receptors and/or the amount of transmitter re...
This article is a review of research into the development of the spinal networks that control rhythmic locomotor movements. By the time they reach adulthood, most animals display a complex repertoire of characteristic motor behaviours that are essential for their survival. One such behaviour is locomotion, which involves rhythmically repeating movements of the body or appendages, produced by the coordinated contractions of different skeletal muscle groups. Muscle contractions are generated by bursts of action potentials in motorneurons (MNs) whose firing patterns are controlled by networks of interneurons that reside principally in the spinal cord and hindbrain. This article provides an overview of current knowledge on the development of the neuronal networks that control locomotion. Key Concepts: Locomotion in vertebrates involves rhythmic contractions of functionally antagonistic pairs of muscles. The locomotor rhythm is generated by networks of neurons in the central nervous system, often called central pattern generators (CPGs). The neural networks responsible for locomotion arise early in vertebrate development, often before birth or hatching. Locomotor network development precedes the emergence of the behaviours the networks will eventually control. Neural mechanisms for locomotor rhythm generation appear to be similar across a range of species. The basic rhythm is generated by glutamate‐mediated excitation and glycine‐mediated inhibition. The motor output generated by immature locomotor networks often lacks the flexibility required of adult behaviour. During locomotor network maturation there is a sequence of changes in the properties of and connections between spinal neurons. During development, locomotor networks are progressively influenced by neuromodulatory systems, many of which originate from nuclei in the brainstem. Serotonin released from neurons of the raphe nuclei in the brainstem appears to be a particularly important neuromodulator. The way in which additional components are added sequentially to locomotor networks in different species ensures the motor output matches the development stage‐specific behavioural requirements of the host organism.
Spontaneous network activity is believed to sculpt developing neural circuits. Spontaneous giant depolarizing potentials (GDPs) were first identified with single-cell recordings from rat CA3 pyramidal neurons, but here we identify and characterize a large-scale spontaneous network activity we term global network activation (GNA) in the developing mouse hippocampal slices, which is measured macroscopically by fast voltage-sensitive dye imaging. The initiation and propagation of GNA in the mouse is largely GABA-independent and dominated by glutamatergic transmission via AMPA receptors. Despite the fact that signal propagation in the adult hippocampus is strongly unidirectional through the canonical trisynaptic circuit (dentate gyrus [DG] to CA3 to CA1), spontaneous GNA in the developing hippocampus originates in distal CA3 and propagates both forward to CA1 and backward to DG. Photostimulation-evoked GNA also shows prominent backward propagation in the developing hippocampus from CA3 to DG. Mouse GNA is strongly correlated to electrophysiological recordings of highly localized single-cell and local field potential events. Photostimulation mapping of neural circuitry demonstrates that the enhancement of local circuit connections to excitatory pyramidal neurons occurs over the same time course as GNA and reveals the underlying pathways accounting for GNA backward propagation from CA3 to DG. The disappearance of GNA coincides with a transition to the adult-like unidirectional circuit organization at about 2 weeks of age. Taken together, our findings strongly suggest a critical link between GNA activity and maturation of functional circuit connections in the developing hippocampus.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.