Transfer entropy applied on EEG in depression reveals aberrated dynamics
arXiv:2008.13625v12 citations
AI Analysis
This work addresses the problem of understanding brain connectivity abnormalities in depression for clinical neuroscience, but it is incremental as it applies an existing method to new data.
The study applied transfer entropy analysis to EEG data from patients with major depressive disorder and healthy controls, revealing aberrated dynamics in connectivity and information direction between brain centers in MDD.
We applied transfer entropy analysis on samples of electroencephalogram recorded from patients diagnosed with major depressive disorder and matched healthy controls. This is the first graphical representation of aberrated dynamics in terms of connectivity and the direction of information between standard centers in MDD.