Maryam Saeedi

This research aims to address Major Depressive Disorder (MDD), a global health concern. Current diagnostic methods rely on subjective clinical assessments, potentially leading to misdiagnoses and treatment delays. To combat these issues, we propose utilizing functional Magnetic Resonance Imaging (fMRI) data, offering an objective and quantifiable approach to diagnose depression. This approach reduces the risk of misdiagnosis and patient bias, particularly when other conditions
mimic depressive symptoms, while also improving our understanding of depression's neurobiology by overcoming challenges related to small sample sizes and data processing variations.