2-C-213 - Functional brain networks alterations in bipolar disorder: evidence from EEG and Graph theoretical analysis
Fatemeh Akrami¹, Amirhossein Ghaderi²
¹Iran University of Medical Sciences, ²York University
Bipolar disorder (BD) is characterized by different functional changes in the brain. BD adversely affects human behavior, speech, and cognition. However, the neural basis of BD is still poorly understood. In this study, we apply graph theory analysis to compare functional brain networks features between BD and normal control individuals. Twenty-one individuals in each BD and control groups were participated in this study. Resting state electroencephalography (EEG) was recorded in the resting state condition for each participant in both groups. Then functional brain networks (derived from calculation of lagged coherence between source localized current densities) were compared between groups. Using graph theoretical analysis, we found that BD group exhibited significant reduction in clustering coefficient, global efficiency, largest eigenvalue, and the second smallest eigenvalue in the theta (4-8 Hz) and alpha bands (8-12 Hz). These results suggest that BD is associated with alterations in segregation, integration, synchronizability and robustness of functional brain networks. According to these results, BD group exhibited reduced neural information processing in global brain network scales and specific modules that can be associated with cognitive/behavioral deficits in BD.