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Neurostimulation using weak electric fields has generated excitement inrecent years due to its potential as a medical intervention. However, study ofthis stimulation modality has been hampered by inconsistent results and largevariability within and between studies. In order to begin addressing thisvariability we need to properly characterise the impact of the current on theunderlying neuron populations. To develop and test a computational modelcapable of capturing the impact of electric field stimulation on networks ofneurons. We construct a cortical tissue model with distinct layers and explicitneuron morphologies. We then apply a model of electrical stimulation and carryout multiple test case simulations. The cortical slice model is compared toexperimental literature and shown to capture the main features of theelectrophysiological response to stimulation. Namely, the model showed 1) asimilar level of depolarisation in individual pyramidal neurons, 2)acceleration of intrinsic oscillations, and 3) retention of the spatial profileof oscillations in different layers. We then apply alternative electric fieldsto demonstrate how the model can capture differences in neuronal responses tothe electric field. We demonstrate that the tissue response is dependent onlayer depth, the angle of the apical dendrite relative to the field, andstimulation strength. We present publicly available computational modellingsoftware that predicts the neuron network population response to electric fieldstimulation.

Predicting the Impact of Electric Field Stimulation in a Detailed Computational Model of Cortical Tissue