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               Figure 3. Schematic representation of differentiation procedures for generation of GABAergic and glutamatergic human induced
               pluripotent stem cell (hiPSC) neurons. Pluripotent hiPSCs can be induced via dual SMAD inhibition to produce telencephalic neural
               progenitors cells (NPCs) which are positive for FOXG1 - a brain-specific transcriptional repressor essential for the early development
               of the telencephalon - marking this population. Notably, FOXG1 gene is associated with the FOXG1 syndrome, which has previously
               been described as a congenital variant of Rett syndrome. In the further differentiation steps, the absence of a SHH (sonic hedgehog)
               agonist facilitates dorsal patterning of the NPCs, characterized by expression of the markers PAX8 (a human neuroectoderm cell fate
               determinant) and EMX1/2 (transcription factors expressed primarily in dorsal telencephalon. On the contrary, activation of SHH signaling
               via the addition of SSH agonists induces ventralization of NPCs, characterized by expression of NKX2-1 (a transcription factor that
               specifies ventral lineages during development). Dorsal progenitors can be further differentiated into glutamatergic neurons, whilst ventral
               precursors can be differentiated into GABAergic neurons

               edited isogenic controls to model monogenic epilepsies. These are powerful models, especially if they are
               used in combination with patient data and animal models, and they will expand our knowledge of underlying
               cellular deficiencies observed in epilepsy. Nevertheless, several challenges remain and need to be addressed to
               further improve these hiPSC models. In terms of 2D monocultures, which are very applicable for large drug
               screens, the biggest challenge is heterogeneity of the generated neuronal populations. These heterogeneous
               populations are problematic if the disease phenotype affects only specific neuronal subpopulations; therefore,
               the effect of the drugs tested can be over- or under-interpreted. Another issue linked to heterogeneous
               neuronal populations is the reproducibility among different populations. Varying subpopulations of
               neurons with different cellular disease phenotypes is another challenge since such subpopulations can vary
               significantly between different experiments and influence functional readouts. Another issue to take into
               consideration is that epilepsy is a complex neurological disorder, where excitatory and inhibitory neuronal
               communication is disturbed. The ideal case would be to generate a mixed population with both types of
               neurons, ideally with glial contributions to investigate the activities of neurons in interaction with each other
                                                              [66]
               or with glial cells, which is a more in vivo-like condition , but this would also be more challenging in terms
               of the interpretation of results and drug efficacy. The most in vivo-like situation would be comparative studies
               in vascularized cerebral organoids, but this line of research, which is described below, is still in its infancy
               and not applicable for large-scale drug tests.

               iPSC-derived brain organoids in neurodevelopment and epilepsy
               Epilepsy is a complex brain disorder with excitatory and inhibitory neuron involvement, in which neural
               network activity is further dependent on neurotransmitter recycling via astrocytes. Therefore, even though
               2D models are useful in electrophysiological measurements and drug screening, they have limitations when
               it comes to investigation of more complex interactions. To imitate the natural physiological conditions,
               architecture and neurodevelopmental features of the brain, differentiated neurons can be organized into 3D
                               [67]
               cerebral organoids .

               A more sophisticated model is the 3D cerebral organoid generated using intrinsic patterning, which can
               yield semi-organized organoids containing neurons from different parts of the brain [22,68] . For example
               hiPSC-derived cerebral organoids show primitive cortical organization, dorsal forebrain-like progenitor
               zones and expression of markers specific for the hippocampus and forebrain. Cerebral organoids are useful
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