View in EDS

Network models incorporating chloride dynamics predict optimal strategies for terminating status epilepticus.

Saved in:
Bibliographic Details
Title: Network models incorporating chloride dynamics predict optimal strategies for terminating status epilepticus.
Authors: Currin CB; Division of Cell Biology, Department of Human Biology, Neuroscience Institute and Institute of Infectious Disease and Molecular Medicine, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa; Institute of Science and Technology Austria, Klosterneuburg, Austria. Electronic address: chris.currin+chloride@gmail.com., Burman RJ; Division of Cell Biology, Department of Human Biology, Neuroscience Institute and Institute of Infectious Disease and Molecular Medicine, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa; Department of Paediatric Neurology, University Children's Hospital Zurich and University of Zurich, Zurich, Switzerland; Department of Pharmacology, University of Oxford, United Kingdom; Oxford Epilepsy Research Group, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom., Fedele T; Department of Paediatric Neurology, University Children's Hospital Zurich and University of Zurich, Zurich, Switzerland., Ramantani G; Department of Paediatric Neurology, University Children's Hospital Zurich and University of Zurich, Zurich, Switzerland., Rosch RE; Department of Clinical Neurophysiology, King's College Hospital NHS Foundation Trust, London; Wellcome Centre for Imaging Neuroscience, University College London, London, United Kingdom., Sprekeler H; Bernstein Center for Computational Neuroscience Berlin, Technische Universität Berlin, Marchstr 23, Berlin, Germany., Raimondo JV; Division of Cell Biology, Department of Human Biology, Neuroscience Institute and Institute of Infectious Disease and Molecular Medicine, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa. Electronic address: joseph.raimondo@uct.ac.za.
Source: Neurobiology of disease [Neurobiol Dis] 2025 Aug; Vol. 212, pp. 106966. Date of Electronic Publication: 2025 May 20.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Academic Press Country of Publication: United States NLM ID: 9500169 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1095-953X (Electronic) Linking ISSN: 09699961 NLM ISO Abbreviation: Neurobiol Dis Subsets: MEDLINE
Database: MEDLINE Ultimate
FullText Text:
  Availability: 0
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 40404062
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Network models incorporating chloride dynamics predict optimal strategies for terminating status epilepticus.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Currin+CB%22">Currin CB</searchLink>; Division of Cell Biology, Department of Human Biology, Neuroscience Institute and Institute of Infectious Disease and Molecular Medicine, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa; Institute of Science and Technology Austria, Klosterneuburg, Austria. Electronic address: chris.currin+chloride@gmail.com.<br /><searchLink fieldCode="AU" term="%22Burman+RJ%22">Burman RJ</searchLink>; Division of Cell Biology, Department of Human Biology, Neuroscience Institute and Institute of Infectious Disease and Molecular Medicine, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa; Department of Paediatric Neurology, University Children's Hospital Zurich and University of Zurich, Zurich, Switzerland; Department of Pharmacology, University of Oxford, United Kingdom; Oxford Epilepsy Research Group, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom.<br /><searchLink fieldCode="AU" term="%22Fedele+T%22">Fedele T</searchLink>; Department of Paediatric Neurology, University Children's Hospital Zurich and University of Zurich, Zurich, Switzerland.<br /><searchLink fieldCode="AU" term="%22Ramantani+G%22">Ramantani G</searchLink>; Department of Paediatric Neurology, University Children's Hospital Zurich and University of Zurich, Zurich, Switzerland.<br /><searchLink fieldCode="AU" term="%22Rosch+RE%22">Rosch RE</searchLink>; Department of Clinical Neurophysiology, King's College Hospital NHS Foundation Trust, London; Wellcome Centre for Imaging Neuroscience, University College London, London, United Kingdom.<br /><searchLink fieldCode="AU" term="%22Sprekeler+H%22">Sprekeler H</searchLink>; Bernstein Center for Computational Neuroscience Berlin, Technische Universität Berlin, Marchstr 23, Berlin, Germany.<br /><searchLink fieldCode="AU" term="%22Raimondo+JV%22">Raimondo JV</searchLink>; Division of Cell Biology, Department of Human Biology, Neuroscience Institute and Institute of Infectious Disease and Molecular Medicine, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa. Electronic address: joseph.raimondo@uct.ac.za.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%229500169%22">Neurobiology of disease</searchLink> [Neurobiol Dis] 2025 Aug; Vol. 212, pp. 106966. <i>Date of Electronic Publication: </i>2025 May 20.
– Name: TypePub
  Label: Publication Type
  Group: TypPub
  Data: Journal Article; Research Support, Non-U.S. Gov't
– Name: TitleSource
  Label: Journal Info
  Group: Src
  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Academic+Press%22">Academic Press </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>9500169 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1095-953X (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2209699961%22">09699961 </searchLink><i>NLM ISO Abbreviation: </i>Neurobiol Dis <i>Subsets: </i>MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=40404062
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1016/j.nbd.2025.106966
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        StartPage: 106966
    Titles:
      – TitleFull: Network models incorporating chloride dynamics predict optimal strategies for terminating status epilepticus.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Currin CB
      – PersonEntity:
          Name:
            NameFull: Burman RJ
      – PersonEntity:
          Name:
            NameFull: Fedele T
      – PersonEntity:
          Name:
            NameFull: Ramantani G
      – PersonEntity:
          Name:
            NameFull: Rosch RE
      – PersonEntity:
          Name:
            NameFull: Sprekeler H
      – PersonEntity:
          Name:
            NameFull: Raimondo JV
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 08
              Text: 2025 Aug
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-electronic
              Value: 1095-953X
          Numbering:
            – Type: volume
              Value: 212
          Titles:
            – TitleFull: Neurobiology of disease
              Type: main
ResultId 1