Exploring comorbidity networks in mild traumatic brain injury subjects through graph theory: a traumatic brain injury model systems study.

ABSTRACT:

Background

Traumatic brain injuries (TBIs) are characterized by myriad comorbidities that affect the functioning of the affected individuals. The comorbidities that TBI subjects experience span a wide range, ranging from psychiatric diseases to those that affect the various systems of the body. This is compounded by the fact that the problems that TBI subjects face could span over an extended period post-primary injury. Further, no drug exists to prevent the spread of secondary injuries after a primary impact.

Methods

In this study, we employed graph theory to understand the patterns of comorbidities after mild TBIs. Disease comorbidity networks were constructed for old and young subjects with mild TBIs and a novel clustering algorithm was applied to understand the comorbidi

SUBMITTER: Mehta K 

PROVIDER: S-EPMC11887189 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature