Investigating how microcircuit abnormalities modulate brain-wide network dynamics to cause seizures across variant SCN1A mutations, using a zebrafish

Lead Research Organisation: King's College London
Department Name: Developmental Neurobiology

Abstract

The aim of this investigation is to examine how SCN1A loss-of-function mutations (encoding a voltage-gated sodium channel) lead to abnormal network dynamics resulting in epileptic seizures, as reported in patients with Dravet syndrome.

Question 1 (Q1): How does a loss-of-function sodium channel mutation lead to a paradoxical increase in neuronal excitation?
Hypothesis 1: The mutation preferentially leads to decreased excitability of inhibitory neurons causing aberrant disinhibition of excitatory neurons.

Question 2 (Q2): How do different SCN1A mutations, causing divergent biophysical abnormalities in patients, lead to a common clinical phenotype?
Hypothesis 2: Mutations along different regions of the SCN1A gene differentially alter sodium channel gating dynamics, which downstream converge to cause network hyper-excitability.

Question 3 (Q3): How do SCN1A mutations lead to abnormal network dynamics, as measured with light sheet fluorescence microscopy (LSFM) and electro-encephalogram (EEG)?
Hypothesis 3: SCN1A mutations result in common abnormalities in neuronal coupling across LSFM and EEG.

Publications

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Title Spiking network model 
Description Built a spiking network model to analyse cascading dynamics in epilepsy. 
Type Of Material Data analysis technique 
Year Produced 2021 
Provided To Others? No  
Impact None so far 
 
Description Dev Neuro academy 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach Local
Primary Audience Schools
Results and Impact We performed outreach for school students teaching them about neuroscience.
Year(s) Of Engagement Activity 2020