We aimed to explore structural connectivity in status epilepticus. We enrolled participants who underwent diffusion tensor imaging. We applied graph theory to investigate structural connectivity. We compared the structural connectivity measures between patients and healthy controls and between patients with poor (modified Rankin Scale [mRS] >3) and good (mRS ≤3) admissionoutcomes. We enrolled 28 patients and 31 healthy controls (age 65.5 vs.62.0 years, p=.438). Of these patients, 16 and 12 showed poor and good admissionoutcome (age 65.5vs.62.0 years, p=.438). The assortative coefficient (-0.113vs. -0.121, p=.021), mean clustering coefficient (0.007vs.0.006, p=.009), global efficiency (0.023vs.0.020, p=.009), transitivity (0.007vs.0.006, p=.009), and small-worldness index (0.006vs.0.005, p=.021) were higher in patients with status epilepticus than in healthy controls. The assortative coefficient (-0.108vs. -0.119, p=.042), mean clustering coefficient (0.007vs.0.006, p=.042), and transitivity (0.008vs.0.007, p=.042) were higher in patients with poor admissionoutcome than in those with good admissionoutcome. MRS score was positively correlated with structural connectivity measures, including the assortative coefficient (r=0.615, p=.003), mean clustering coefficient (r=0.544, p=.005), global efficiency (r=0.515, p=.007), transitivity (r=0.547, p=.007), and small-worldness index (r=0.435, p=.024). We revealed alterations in structural connectivity, showing increased integration and segregation in status epilepticus, which might be related with neuronal synchronization. This effect was more pronounced in patients with a poor admissionoutcome, potentially reshaping our understanding for comprehension of status epilepticus mechanisms and the development of more targeted treatments.