Speaker
Description
In focal cortical dysplasia (FCD), the cytoarchitecture of the neocortex tissue is greatly modified. This is particularly the case for the pyramidal neuron to parvalbumin positive interneuron (PYR-PV) loop, as seen in animal and human histological studies. Here, we analyze this loop using a neuro-inspired computational model of stereoelectroencephalographic (SEEG) signals recorded from a patient with FCD. We identified the parameter set for the PYR-PV loop in the computational model that generates realistic SEEG signals. Simulated neocortical SEEG was generated with 2100 variations in the combinations of parameters for the PYR-PV loop. Signal similarity measures were computed to compare the simulated and the recorded neocortical SEEG activity from the patient. With the analysis of the computed signal similarity metrics it was possible to identify the parameter sets, for the PYR-PV loop, to simulate neocortical FCD activity with fidelity. The parameter sets identified with this approach reflect the architectural changes associated with the PYR-PV loop in FCD tissue. This study sheds light on the mechanisms underlying the sustained slow/fast spiking activity often observed in FCDs with SEEG.
