Investigating how microcircuit abnormalities modulate brain-wide network dynamics to cause seizures across variant SCN1A mutations, using a zebrafish
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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.
King's College London | LEAD_ORG |
Mark Richardson | SUPER_PER |
Dominic Burrows | STUDENT_PER |
Subjects by relevance
- Mutations
- Neurons
- EEG
- Genes
Extracted key phrases
- Different SCN1A mutation
- Function sodium channel mutation
- Variant SCN1A mutation
- Wide network dynamic
- Abnormal network dynamic
- Sodium channel gating dynamic
- Function mutation
- SCN1A loss
- Microcircuit abnormality
- SCN1A gene
- Network hyper
- Divergent biophysical abnormality
- Common abnormality
- Epileptic seizure
- Common clinical phenotype