Cultured hippocampal neurons represent the most widely used experimental substrate for in vitro electrophysiological studies. Nevertheless, in most cases, the nature of neuron under study is not identified as excitatory or inhibitory, or even worse, recorded neurons are considered as excitatory because of the paucity of GABAergic interneurons. Thus, the definition of reliable criteria able to guarantee an unequivocal identification of excitatory and inhibitory cultured hippocampal neurons is an unmet need. To reach this goal, we compared the electrophysiological properties and the localization and size of the axon initial segment (AIS) of cultured hippocampal neurons, taking advantage from GAD67-GFP knock-in mice, which expressing green fluorescent protein (GFP) in gamma-aminobutyric acid (GABA)-containing cells, allowed to unambiguously determine the precise nature of the neuron under study. Our results demonstrate that the passive electrophysiological properties, the localization and size of the AIS, and the shape and frequency of the action potential (AP) are not reliable to unequivocally identify neurons as excitatory or inhibitory. The only parameter, related to the shape of the single AP, showing minimal overlap between the sample-point distributions of the two neuronal subpopulations, was the AP half-width. However, the estimation of the AP failure ratio evoked by a short train of high-current steps applied at increasing frequency (40-140 Hz) resulted to be indisputably the safer and faster way to identify the excitatory or inhibitory nature of an unknown neuron. Our findings provide a precise framework for further electrophysiological investigations of in vitro hippocampal neurons.
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http://dx.doi.org/10.1007/s12035-019-1506-5 | DOI Listing |
Int J Mol Sci
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School of Pharmacy, Hunan University of Chinese Medicine, Changsha 410208, China.
Post-stroke spasticity (PSS), characterized by a velocity-dependent increase in muscle tone and exaggerated reflexes, affects a significant portion of stroke patients and presents a substantial obstacle to post-stroke rehabilitation. Effective management and treatment for PSS remains a significant clinical challenge in the interdisciplinary aspect depending on the understanding of its etiologies and pathophysiology. We systematically review the relevant literature and provide the main pathogenic hypotheses: alterations in the balance of excitatory and inhibitory inputs to the descending pathway or the spinal circuit, which are secondary to cortical and subcortical ischemic or hemorrhagic injury, lead to disinhibition of the stretch reflex and increased muscle tone.
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Chair for Integrated Systems and Photonics, Department of Electrical and Information Engineering, Faculty of Engineering, Kiel University, Kaiserstr. 2, 24143 Kiel, Germany.
Biological neural circuits are based on the interplay of excitatory and inhibitory events to achieve functionality. Axons form long-range information highways in neural circuits. Axon pruning, i.
View Article and Find Full Text PDFJ Comp Neurol
January 2025
Graduate Program in Molecular and Systems Pharmacology, Emory University, Atlanta, Georgia, USA.
Glutamate delta receptor 1 (GluD1) is a unique synaptogenic molecule expressed at excitatory and inhibitory synapses. The lateral habenula (LHb), a subcortical structure that regulates negative reward prediction error and major monoaminergic systems, is enriched in GluD1. LHb dysfunction has been implicated in psychiatric disorders such as depression and schizophrenia, both of which are associated with GRID1, the gene that encodes GluD1.
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January 2025
Department of Biology, Boston University, Boston, MA 02215, USA; Center for Neurophotonics, Boston University, Boston, MA 02215, USA; Department of Biomedical Engineering, Boston University, Boston, MA 02215, USA; Center for Systems Neuroscience, Boston University, Boston MA 02215, USA. Electronic address:
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View Article and Find Full Text PDFPNAS Nexus
January 2025
Department of Mathematics, Aston University, Birmingham B4 7ET, United Kingdom.
Understanding the relation between cortical neuronal network structure and neuronal activity is a fundamental unresolved question in neuroscience, with implications to our understanding of the mechanism by which neuronal networks evolve over time, spontaneously or under stimulation. It requires a method for inferring the structure and composition of a network from neuronal activities. Tracking the evolution of networks and their changing functionality will provide invaluable insight into the occurrence of plasticity and the underlying learning process.
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