Keywords: Structural Connectivity, Brain Connectivity, LGI1,Autoimmune encephalitis
Motivation: Causal changes in effective connectivity within brain networks of patients with leucine-rich glioma inactivated 1 (LGI1) antibody encephalitis are poorly understood, limiting targeted interventions for symptom management.
Goal(s): To identify effective connectivity patterns among key brain regions in patients with anti-LGI1 and examine their correlation with symptom severity and cognitive function.
Approach: A spectral dynamic causal model analyzed connectivity in fMRI data of patients with anti-LGI1 encephalitis, comparing it with healthy controls.
Results: Our findings revealed distinct connectivity patterns in patients with anti-LGI1, with variations correlating to symptom severity and cognitive deficits, indicating specific causal relationships in brain networks.
Impact: This study enhances understanding of brain connectivity in anti-LGI1 encephalitis, potentially leading to new diagnostic biomarkers and targeted therapies. Improved insights into causal relationships may substantially enhance patient management and treatment outcomes in autoimmune encephalitis.
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