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ABSTRACT: Background
Major depressive disorder (MDD) is one of the most common mental disorders, and the number of individuals with MDD (MDDs) continues to increase. Therefore, there is an urgent need for an objective characterization and real-time detection method for depression. Functional near-infrared spectroscopy (fNIRS) is a non-invasive tool, which is widely used in depression research. However, the process of how the brain activity of MDDs changes in response to external stimuli based on fNIRS signals is not yet clear.Method
Energy landscape (EL) can describe the brain dynamics under task conditions by assigning energy values to each state. The higher the energy value, the lower the probability of the state occurring. This study compares the EL features of 60 MDDs with 60 hea
SUBMITTER: Wu Y
PROVIDER: S-EPMC11609116 | biostudies-literature | 2024 Nov
REPOSITORIES: biostudies-literature