EEG microstate features for schizophrenia classification
Sign Up to like & getrecommendations! Published in 2021 at "PLoS ONE"
DOI: 10.1371/journal.pone.0251842
Abstract: Electroencephalography (EEG) microstate analysis is a method wherein spontaneous EEG activity is segmented at sub-second levels to analyze quasi-stable states. In particular, four archetype microstates and their features are known to reflect changes in brain… read more here.
Keywords: eeg microstate; microstate; microstate features; schizophrenia classification ... See more keywords
Support Vector Machine-Based Schizophrenia Classification Using Morphological Information from Amygdaloid and Hippocampal Subregions
Sign Up to like & getrecommendations! Published in 2020 at "Brain Sciences"
DOI: 10.3390/brainsci10080562
Abstract: Structural changes in the hippocampus and amygdala have been demonstrated in schizophrenia patients. However, whether morphological information from these subcortical regions could be used by machine learning algorithms for schizophrenia classification were unknown. The aim… read more here.
Keywords: machine; morphological information; classification; schizophrenia classification ... See more keywords