Neuroimaging Data Informed Mood and Psychosis Diagnosis Using an Ensemble Deep Multimodal Framework.

ABSTRACT: Investigating neuroimaging data to identify brain-based markers of mental illnesses has gained significant attention. Nevertheless, these endeavors encounter challenges arising from a reliance on symptoms and self-report assessments in making an initial diagnosis. The absence of biological data to delineate nosological categories hinders the provision of additional neurobiological insights into these disorders. This study explores the use of neuroimaging to identify brain-based markers for mental illnesses, addressing the limitations of existing diagnoses. Previous research showed the potential of integrating structural neuroimaging data by treating diagnostic categories as uncertain and adjusting them to align better with biological data. Building on this, our current research incorporate

SUBMITTER: Rokham H 

PROVIDER: S-EPMC12421244 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature