Loading...
Search for:
r-peak
0.054 seconds
Extracting Temporal Dynamics from Electroencephalogram Microstates
, M.Sc. Thesis Sharif University of Technology ; Shamsollahi, Mohammad Bagher (Supervisor)
Abstract
The electroencephalogram (EEG) microstates, as reflections of the brain's quasi-stable neural activity, play a crucial role in analyzing brain dynamics and understanding mental processes. These microstates represent specific and transient states in the brain's neuroelectric dynamics and can provide valuable insights into the brain's structure and function. Investigating the temporal dynamics of these microstates, their relationship with mental processes, and changes caused by disorders such as depression helps improve our understanding of the brain's complex mechanisms. Major depressive disorder is one of the most common diseases globally, associated with widespread effects on quality of...