This thesis utilizes lesion network mapping (LNM) to enhance our understanding of brain function by connecting specific brain lesions to networks rather than isolated regions, providing a more holistic view of their impact on clinical symptoms. The primary goal is to explore LNM's potential in identifying targets for deep brain stimulation (DBS) and transcranial magnetic stimulation (TMS) to treat functional neurological disorders (FND), traditionally seen as conditions without an anatomical basis. By mapping lesion networks linked to functional disabilities, this research challenges the notion of FND's lack of anatomical substrate, proposing a brain circuit associated with the perception of disability. The study analyzes stroke patients (n = 101) using a normative connectome database to compare self-reported capabilities with actual performance, identifying a brain circuit related to disability perception. Validation with a separate group of head injury patients (n = 181) showed significant correlations with somatic concern, suggesting LNM's potential in guiding therapeutic interventions.