2023
DOI: 10.1016/j.stemcr.2023.06.003
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An in silico and in vitro human neuronal network model reveals cellular mechanisms beyond NaV1.1 underlying Dravet syndrome

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Cited by 5 publications
(23 citation statements)
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References 64 publications
(96 reference statements)
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“…To narrow down the possible cellular mechanisms that underlie the observed altered network synchronization, we employed a recently developed predictive and hypothesis generating in silico model. 23 The cellular mechanisms identified by the in silico CACNA1A +/model were 1) decreased synaptic function with an increased NMDA/AMPA ratio, and 2) decreased sodium and potassium channel function. We tested and validated these findings in our in vitro CACNA1A +/model and indeed found a decrease in synaptic function with enhanced contribution of GluA2-lacking AMPA receptors, and increased intrinsic excitability through reduced potassium channel function.…”
Section: Discussionmentioning
confidence: 99%
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“…To narrow down the possible cellular mechanisms that underlie the observed altered network synchronization, we employed a recently developed predictive and hypothesis generating in silico model. 23 The cellular mechanisms identified by the in silico CACNA1A +/model were 1) decreased synaptic function with an increased NMDA/AMPA ratio, and 2) decreased sodium and potassium channel function. We tested and validated these findings in our in vitro CACNA1A +/model and indeed found a decrease in synaptic function with enhanced contribution of GluA2-lacking AMPA receptors, and increased intrinsic excitability through reduced potassium channel function.…”
Section: Discussionmentioning
confidence: 99%
“…Network bursts were detected using a firing rate threshold method as described earlier. 23 From this, the network burst frequency, network burst duration, and network burst percentage features were calculated. The correlation coefficients between the binary spike train signals of all the electrodes were calculated to define the average correlation and standard deviation of the correlation features.…”
Section: In Silico Modelingmentioning
confidence: 99%
“…Next, we aimed to investigate the mechanisms underlying the appearance of fragmented NBs in patient-derived neuronal networks. For this, we employed our previously developed computational model of hiPSC-derived excitatory neuronal networks on MEA [7], which has been shown to successfully identify the effect of specific cellular changes on the network activity.…”
Section: Our Biophysical Models Replicate Fragmented Nbs With Increas...mentioning
confidence: 99%
“…The realistic in silico model is described in Doorn et al [7]. In short, it consists of one hundred HH-type neurons with voltage-gated sodium and potassium channels, as well as leaky channels and sAHP channels, modeled as a potassium channel whose conductance increases upon action potential (AP) firing.…”
Section: Realistic In Silico Modelmentioning
confidence: 99%
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