Exploring Comorbidity Networks in Mild Traumatic Brain Injury Subjects through Graph Theory: A Traumatic Brain Injury Model Systems Study

• DOI: 10.1101/2024.07.02.601618
• Publication Date: 2024-07-04T21:30:13Z
• Authors: Kaustav Mehta; Shyam Kumar Sudhakar
• Keywords: Graph theory; Disease comorbidity network; Centrality; Neurology. Diseases of the nervous system; RC346-429; Traumatic brain injuries; Comorbidities

Abstract Traumatic brain injuries (TBIs) are characterized by myriad comorbidities that affect the functioning of affected individuals. The TBI subjects experience span a wide range, ranging from psychiatric diseases to those various systems body. This is compounded fact problems face could over an extended period post-primary injury. Further, no drug exists prevent spread secondary after primary impact. In this study, we employed graph theory understand patterns mild TBIs. Upon application network analysis and novel clustering algorithm, discovered interesting associations between in young old with condition. Specifically, bipolar disorder was seen as related cardiovascular comorbidities, pattern observed only subjects. Similar obsessive-compulsive rheumatoid arthritis were Psychiatric exhibited differential non-psychiatric depending on age cohort. study results might have implications for effective surveillance management post