For Publishers
DiscoveryMetadataPeer reviewHostingPublishing
For Researchers
JoinPublishReviewCollect
Register
Blog
About
Search
Advanced search
My ScienceOpen
Search
For Publishers
For Researchers
Blog
About
10
views
73
references
 Top references
cited by
12
    
0 reviews
 Review
0
comments
 Comment
0
recommends
+1 Recommend
0 collections
    0
    shares
      337
      similar
       All similar
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Computational model of interictal discharges triggered by interneurons

      research-article

      Read this article at

      ScienceOpenPublisherPMC
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Interictal discharges (IIDs) are abnormal waveforms registered in the periods before or between seizures. IIDs that are initiated by GABAergic interneurons have not been mathematically modeled yet. In the present study, a mathematical model that describes the mechanisms of these discharges is proposed. The model is based on the experimental recordings of IIDs in pyramidal neurons of the rat entorhinal cortex and estimations of synaptic conductances during IIDs. IIDs were induced in cortico-hippocampal slices by applying an extracellular solution with 4-aminopyridine, high potassium, and low magnesium concentrations. Two different types of IIDs initiated by interneurons were observed. The first type of IID (IID1) was pure GABAergic. The second type of IID (IID2) was induced by GABAergic excitation and maintained by recurrent interactions of both GABA- and glutamatergic neuronal populations. The model employed the conductance-based refractory density (CBRD) approach, which accurately approximates the firing rate of a population of similar Hodgkin-Huxley-like neurons. The model of coupled excitatory and inhibitory populations includes AMPA, NMDA, and GABA-receptor-mediated synapses and gap junctions. These neurons receive both arbitrary deterministic input and individual colored Gaussian noise. Both types of IIDs were successfully reproduced in the model by setting two different depolarized levels for GABA-mediated current reversal potential. It was revealed that short-term synaptic depression is a crucial factor in ceasing each of the discharges, and it also determines their durations and frequencies.

          Related collections

          Most cited references73

          • Record: found
          • Abstract: found
          • Article: not found

          Short-term synaptic plasticity.

          Robert S. Zucker, Wade Regehr (2002)
          Synaptic transmission is a dynamic process. Postsynaptic responses wax and wane as presynaptic activity evolves. This prominent characteristic of chemical synaptic transmission is a crucial determinant of the response properties of synapses and, in turn, of the stimulus properties selected by neural networks and of the patterns of activity generated by those networks. This review focuses on synaptic changes that result from prior activity in the synapse under study, and is restricted to short-term effects that last for at most a few minutes. Forms of synaptic enhancement, such as facilitation, augmentation, and post-tetanic potentiation, are usually attributed to effects of a residual elevation in presynaptic [Ca(2+)]i, acting on one or more molecular targets that appear to be distinct from the secretory trigger responsible for fast exocytosis and phasic release of transmitter to single action potentials. We discuss the evidence for this hypothesis, and the origins of the different kinetic phases of synaptic enhancement, as well as the interpretation of statistical changes in transmitter release and roles played by other factors such as alterations in presynaptic Ca(2+) influx or postsynaptic levels of [Ca(2+)]i. Synaptic depression dominates enhancement at many synapses. Depression is usually attributed to depletion of some pool of readily releasable vesicles, and various forms of the depletion model are discussed. Depression can also arise from feedback activation of presynaptic receptors and from postsynaptic processes such as receptor desensitization. In addition, glial-neuronal interactions can contribute to short-term synaptic plasticity. Finally, we summarize the recent literature on putative molecular players in synaptic plasticity and the effects of genetic manipulations and other modulatory influences.
          Article 0 comments Cited 1085 times – based on 0 reviews     Review now
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Perturbed chloride homeostasis and GABAergic signaling in human temporal lobe epilepsy.

            Gilles Huberfeld, Lucia Wittner, Stéphane Clémenceau … (2007)
            Changes in chloride (Cl-) homeostasis may be involved in the generation of some epileptic activities. In this study, we asked whether Cl- homeostasis, and thus GABAergic signaling, is altered in tissue from patients with mesial temporal lobe epilepsy associated with hippocampal sclerosis. Slices prepared from this human tissue generated a spontaneous interictal-like activity that was initiated in the subiculum. Records from a minority of subicular pyramidal cells revealed depolarizing GABA(A) receptor-mediated postsynaptic events, indicating a perturbed Cl- homeostasis. We assessed possible contributions of changes in expression of the potassium-chloride cotransporter KCC2. Double in situ hybridization showed that mRNA for KCC2 was absent from approximately 30% of CaMKIIalpha (calcium/calmodulin-dependent protein kinase IIalpha)-positive subicular pyramidal cells. Combining intracellular recordings with biocytin-filled electrodes and KCC2 immunochemistry, we observed that all cells that were hyperpolarized during interictal events were immunopositive for KCC2, whereas the majority of depolarized cells were immunonegative. Bumetanide, at doses that selectively block the chloride-importing potassium-sodium-chloride cotransporter NKCC1, produced a hyperpolarizing shift in GABA(A) reversal potentials and suppressed interictal activity. Changes in Cl- transporter expression thus contribute to human epileptiform activity, and molecules acting on these transporters may be useful antiepileptic drugs.
            Article 0 comments Cited 185 times – based on 0 reviews     Review now
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              A network of fast-spiking cells in the neocortex connected by electrical synapses.

              M Galarreta, S Hestrin (1999)
              Encoding of information in the cortex is thought to depend on synchronous firing of cortical neurons. Inhibitory neurons are known to be critical in the coordination of cortical activity, but how interaction among inhibitory cells promotes synchrony is not well understood. To address this issue directly, we have recorded simultaneously from pairs of fast-spiking (FS) cells, a type of gamma-aminobutyric acid (GABA)-containing neocortical interneuron. Here we report a high occurrence of electrical coupling among FS cells. Electrical synapses were not found among pyramidal neurons or between FS cells and other cortical cells. Some FS cells were interconnected by both electrical and GABAergic synapses. We show that communication through electrical synapses allows excitatory signalling among inhibitory cells and promotes their synchronous spiking. These results indicate that electrical synapses establish a network of fast-spiking cells in the neocortex which may play a key role in coordinating cortical activity.
              Article 0 comments Cited 165 times – based on 0 reviews     Review now
                Bookmark
                All references

                Author and article information

                Contributors
                Anton V. Chizhov:
                ORCID: http://orcid.org/0000-0002-7993-6770
                Role: ConceptualizationRole: MethodologyRole: Project administrationRole: SoftwareRole: Writing – original draftRole: Writing – review & editing
                Dmitry V. Amakhin: Role: ConceptualizationRole: Data curationRole: InvestigationRole: MethodologyRole: Writing – review & editing
                Aleksey V. Zaitsev: Role: ConceptualizationRole: InvestigationRole: Project administrationRole: SupervisionRole: Writing – review & editing
                Gennady Cymbalyuk: Role: Editor
                Journal
                Journal ID (nlm-ta): PLoS One
                Journal ID (iso-abbrev): PLoS ONE
                Journal ID (publisher-id): plos
                Journal ID (pmc): plosone
                Title: PLoS ONE
                Publisher: Public Library of Science (San Francisco, CA USA )
                ISSN (Electronic): 1932-6203
                Publication date Collection: 2017
                Publication date (Electronic): 4 October 2017
                Volume: 12
                Issue: 10
                Electronic Location Identifier: e0185752
                Affiliations
                [1 ] Computational Physics Laboratory, Ioffe Institute, Saint Petersburg, Russia
                [2 ] Laboratory of Molecular Mechanisms of Neural Interactions, Sechenov Institute of Evolutionary Physiology and Biochemistry of the Russian Academy of Sciences, Saint Petersburg, Russia
                [3 ] Institute of Experimental Medicine, Federal Almazov North-West Medical Research Centre, Saint Petersburg, Russia
                Georgia State University, UNITED STATES
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Author information
                http://orcid.org/0000-0002-7993-6770
                Article
                Publisher ID: PONE-D-17-14908
                DOI: 10.1371/journal.pone.0185752
                PMC ID: 5627938
                PubMed ID: 28977038
                SO-VID: 46a60cca-f6fd-4479-b7e5-479e95a036df
                Copyright © © 2017 Chizhov et al
                License:

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                Date received : 17 April 2017
                Date accepted : 19 September 2017
                Page count
                Figures: 15, Tables: 0, Pages: 34
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/501100006769, Russian Science Foundation;
                Award ID: 16-15-10201
                Award Recipient :
                ORCID: http://orcid.org/0000-0002-7993-6770
                This work was supported by the Russian Science Foundation (project 16-15-10201).
                Categories
                Subject: Research Article
                Subject: Biology and Life Sciences
                Subject: Cell Biology
                Subject: Cellular Types
                Subject: Animal Cells
                Subject: Neurons
                Subject: Biology and Life Sciences
                Subject: Neuroscience
                Subject: Cellular Neuroscience
                Subject: Neurons
                Subject: Biology and Life Sciences
                Subject: Cell Biology
                Subject: Cellular Types
                Subject: Animal Cells
                Subject: Neurons
                Subject: Interneurons
                Subject: Biology and Life Sciences
                Subject: Neuroscience
                Subject: Cellular Neuroscience
                Subject: Neurons
                Subject: Interneurons
                Subject: Biology and Life Sciences
                Subject: Biochemistry
                Subject: Neurochemistry
                Subject: Neurotransmitters
                Subject: Gamma-Aminobutyric Acid
                Subject: Biology and Life Sciences
                Subject: Neuroscience
                Subject: Neurochemistry
                Subject: Neurotransmitters
                Subject: Gamma-Aminobutyric Acid
                Subject: Physical Sciences
                Subject: Chemistry
                Subject: Chemical Compounds
                Subject: Chlorides
                Subject: Biology and Life Sciences
                Subject: Physiology
                Subject: Electrophysiology
                Subject: Membrane Potential
                Subject: Medicine and Health Sciences
                Subject: Physiology
                Subject: Electrophysiology
                Subject: Membrane Potential
                Subject: Biology and Life Sciences
                Subject: Cell Biology
                Subject: Cellular Types
                Subject: Animal Cells
                Subject: Neurons
                Subject: Neuronal Dendrites
                Subject: Biology and Life Sciences
                Subject: Neuroscience
                Subject: Cellular Neuroscience
                Subject: Neurons
                Subject: Neuronal Dendrites
                Subject: Biology and Life Sciences
                Subject: Anatomy
                Subject: Nervous System
                Subject: Synapses
                Subject: Medicine and Health Sciences
                Subject: Anatomy
                Subject: Nervous System
                Subject: Synapses
                Subject: Biology and Life Sciences
                Subject: Physiology
                Subject: Electrophysiology
                Subject: Neurophysiology
                Subject: Synapses
                Subject: Medicine and Health Sciences
                Subject: Physiology
                Subject: Electrophysiology
                Subject: Neurophysiology
                Subject: Synapses
                Subject: Biology and Life Sciences
                Subject: Neuroscience
                Subject: Neurophysiology
                Subject: Synapses
                Subject: Biology and Life Sciences
                Subject: Physiology
                Subject: Electrophysiology
                Subject: Membrane Potential
                Subject: Action Potentials
                Subject: Medicine and Health Sciences
                Subject: Physiology
                Subject: Electrophysiology
                Subject: Membrane Potential
                Subject: Action Potentials
                Subject: Biology and Life Sciences
                Subject: Physiology
                Subject: Electrophysiology
                Subject: Neurophysiology
                Subject: Action Potentials
                Subject: Medicine and Health Sciences
                Subject: Physiology
                Subject: Electrophysiology
                Subject: Neurophysiology
                Subject: Action Potentials
                Subject: Biology and Life Sciences
                Subject: Neuroscience
                Subject: Neurophysiology
                Subject: Action Potentials
                Custom metadata
                Data Availability All relevant data are within the paper.

                ScienceOpen disciplines: Uncategorized
                Data availability:
                ScienceOpen disciplines: Uncategorized

                Comments

                Comment on this article

                scite_

                Similar content337

                See all similar

                Cited by12

                See all cited by

                Most referenced authors712

                See all reference authors