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Biophysical characterization and modeling of SCN1A gain-of-function predicts interneuron hyperexcita...

Biophysical characterization and modeling of SCN1A gain-of-function predicts interneuron hyperexcita...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2778471134

Biophysical characterization and modeling of SCN1A gain-of-function predicts interneuron hyperexcitability and a predisposition to network instability through homeostatic plasticity

About this item

Full title

Biophysical characterization and modeling of SCN1A gain-of-function predicts interneuron hyperexcitability and a predisposition to network instability through homeostatic plasticity

Publisher

Cold Spring Harbor: Cold Spring Harbor Laboratory Press

Journal title

bioRxiv, 2023-02

Language

English

Formats

Publication information

Publisher

Cold Spring Harbor: Cold Spring Harbor Laboratory Press

More information

Scope and Contents

Contents

SCN1A gain-of-function variants are associated with early onset developmental and epileptic encephalopathies (DEEs) that possess distinct clinical features compared to Dravet syndrome caused by SCN1A loss-of-function. However, it is unclear how SCN1A gain-of-function may predispose to cortical hyper-excitability and seizures. Here, we first report...

Alternative Titles

Full title

Biophysical characterization and modeling of SCN1A gain-of-function predicts interneuron hyperexcitability and a predisposition to network instability through homeostatic plasticity

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2778471134

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2778471134

Other Identifiers

E-ISSN

2692-8205

DOI

10.1101/2023.02.20.529310