Abnormal functional connectivity of EEG gamma band in patients with depression during emotional face processing
Abstract
This paper evaluates the large-scale structure of functional brain networks using graph theoretical concepts and investigates the difference in brain functional networks between patients with depression and healthy controls while they were processing emotional stimuli. Electroencephalography (EEG) activities were recorded from 16 patients with depression and 14 healthy controls when they performed a spatial search task for facial expressions. Correlations between all possible pairs of 59 electrodes were determined by coherence, and the coherence matrices were calculated in delta, theta, alpha, beta, and gamma bands (low gamma: 30-50Hz and high gamma: 50-80Hz, respectively). Graph theoretical analysis was applied to these matrices by using two indexes: the clustering coefficient and the characteristic path length. The global EEG coherence of patients with depression was significantly higher than that of healthy controls in both gamma bands, especially in the high gamma band. The global coherence in both gamma bands from healthy controls appeared higher in negative conditions than in positive conditions. All the brain networks were found to hold a regular and ordered topology during emotion processing. However, the brain network ...Continue Reading
References
Executive functioning and verbal memory in young patients with unipolar depression and schizophrenia
Graph theoretical analysis of magnetoencephalographic functional connectivity in Alzheimer's disease
Citations
Electroencephalographic correlates of body shape concerns: an eLORETA functional connectivity study.
Ecological micro-expression recognition characteristics of young adults with subthreshold depression
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