nkoch/model_mutations_2022
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added a bit more text to Kv1.1 explanation

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sonnenberg 2022-05-10 10:34:36 +02:00
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@ -103,13 +103,14 @@ Nils A. Koch\textsuperscript{1,2}, Lukas Sonnenberg\textsuperscript{1,2}, Jan Be
\textsuperscript{1}Institute for Neurobiology, University of Tuebingen, 72072 Tuebingen, Germany\\
\textsuperscript{2}Bernstein Center for Computational Neuroscience Tuebingen, 72076 Tuebingen, Germany
\notels{shouldn't Nils' current position be on here, too?}
\subsection{Author Contributions - Each author must be identified with at least one of the following: Designed research, Performed research, Contributed unpublished reagents/ analytic tools, Analyzed data, Wrote the paper.}
\notenk{Adjust as you deem appropriate}\\
NK, LS, JB Designed Research;
NK, LS, JB Wrote the paper;
NK Performed research;
NK, LS Analyzed data
NK, LS Analyzed data;
NK, LS, JB Wrote the paper
\subsection{Correspondence should be addressed to (include email address)}
\ \notenk{Nils oder Jan?}
@ -187,7 +188,7 @@ For instance, altering relative amplitudes of ionic currents can dramatically in
Computational modelling approaches can be used to assess the impacts of changed ionic current properties on firing behaviour, bridging the gap between changes in the biophysical properties induced by mutations, firing and clinical symptoms. Conductance-based neuronal models enable insight into the effects of ion channel mutations with specific effects of the resulting ionic current as well as enabling \textit{in silico} assessment of the relative effects of changes in biophysical properties of ionic currents on neuronal firing. Furthermore, modelling approaches enable predictions of the effects of specific mutation and drug induced biophysical property changes.
We therefore investigate the role that neuronal type plays on the outcome of ionic current kinetic changes on firing by simulating the response of a repertoire of different neuronal models to changes in single current parameters as well as to episodic ataxia type~1 associated \Kv mutations.
We therefore investigate the role that neuronal type plays on the outcome of ionic current kinetic changes on firing by simulating the response of a repertoire of different neuronal models to changes in single current parameters as well as to more complex changes as they were observed for specific mutations. For this task we chose mutations in KCNA1, encoding for the potassium channel \Kv, that are associated with episodic ataxia type~1 \citep{lauxmann_therapeutic_2021}.
%In this study we want to get an insight into how changes in ion current kinetics change firing behaviour dependent on neuron type. We will simulate a repertoire of different neuronal models and compare their response to changes in single parameters and to changes as they were observed for mutations in \textcolor{red}{KCNA1}, causing ataxia.