Recent advances in genetics and single-cell studies are making it possible to decipher crucial elements about the role of different cell types in the pathogenesis of neurological diseases, including schizophrenia. This study addresses the construction and analysis of genetic co-expression networks in excitatory L2/3 IT neurons. The hdWGCNA tool was utilized for network construction, and STRING for the enrichment of the gene modules. It compared samples from a control patient and another with schizophrenia, to identify differences in the functions of gene modules and their possible implications in the disease. It was found that few modules were enriched, however, most of these are related to biological processes known to be altered in schizophrenia. Notably, some known biomarkers for the disease were identified, including ZNF804A, NRXN3, and NTNG1. In addition, possible gene overlap was observed in other neurodegenerative diseases, such as Alzheimer’s. These findings may provide a basis for future research to deepen understanding of the underlying mechanisms of schizophrenia and other neurological diseases.