According to the UN World Health Organization, nearly one in every six of the world's population is affected by a neurological disorder. This research study focused on neural networks and analyzed the connections between neurological disorders defined by similar single nucleotide polymorphisms (SNP). By utilizing the Genome-wide Association studies, SNPs associated with a select group of neurological disorders were identified. Drug molecules that target these SNPs were gathered from the DrugBank. The results showed that Schizophrenia and Bipolar disorder were the most genetically similar based on the SNPs associated with them. Also, Schizophrenia had the highest number of SNPs associated with it as well as the highest betweenness rank. The gene TRNAI25 was the gene found among four of the disorders and it is implicated in various biological roles such as coding, decoding, regulation, and expression of genes. The drug, Felodipine, targets two SNPs, one associated with Schizophrenia and the other with Bipolar Disorder. Neurological disorders are being visualized through patient CT or MRI scans; however, this study focused on the shared SNPs in different neurological disorders generated from preexisting data. With this project, genetic similarities were found within a select group of neurological disorders and may further biological research in neurological disorders through the use of network science.