Abnormal Brain Topological Structure of Mild Depression During Visual Search Processing Based on EEG Signals

Abstract

Studies have shown that attention bias can affect behavioral indicators in patients with depression, but it is still unclear how this bias affects the brain network topology of patients with mild depression (MD). Therefore, a novel functional brain network analysis and hierarchical clustering methods were used to explore the abnormal brain topology of MD patients based on EEG signals during the visual search paradigm. The behavior resultsshowed that the reaction time of MD group was significantly higher than that of normal group. The results of functional brain network indicated significant differences in functional connections between the two groups, the amount of inter-hemispheric long-distance connections are much larger than intra-hemispheric short-distance connections. Patients with MD showed significantly lower local efficiency and clustering coefficient, destroyed community structure of frontal lobe and parietal-occipital lobe, frontal asymmetry, especially in beta band. In addition, the average value of long-distance connections between left frontal and right parietal-occipital lobes presented significant correlation with depressive symptoms. Our results suggested that MD patients achieved long-distance connections between the frontal and parietal-occipital regions by sacrificing the

DepCap: A Smart Healthcare Framework for EEG Based Depression Detection Using Time-Frequency Response and Deep Neural Network

“…An EEG-based depression detection method using spatial information is proposed and reported an accuracy of 84% in [31]. A novel clustering method is proposed in [41], which shows the topological difference in the brain of depressed and healthy subjects.…”

Exploring Abnormal Brain Functional Connectivity in Healthy Adults, Depressive Disorder, and Generalized Anxiety Disorder through EEG Signals: A Machine Learning Approach for Triple Classification

“…Guo et al’s study highlights the increased abnormality in long-range functional connections in the beta band within the frontal region of DD patients, manifested as asymmetry in the frontal lobe structures [ 20 ]. Additionally, research on anxiety disorders similarly reveals a significant reorganization of brain functional connectivity in the frontal region within the beta band [ 5 , 21 , 22 ]. Patients diagnosed with DD and GAD exhibit significantly different patterns of brain reorganization, highlighting notable individual variability in their neural responses.…”