Machine Learning-Based Alexithymia Assessment Using Resting-State Default Mode Network Functional Connectivity
Sensors September 12, 2025 Kei Suzuki, Midori Sugaya
Alexithymia is regarded as one of the risk factors for several prevalent mental disorders, and there is a growing need for convenient and objective methods to assess alexithymia. Therefore, this study proposes a method for constructing models to assess alexithymia using machine learning and electroencephalogram (EEG) signals. The explanatory variables for the models were functional connectivity...