Fogelson, NoaDíaz-Brage, PabloLi, LingPeled, AviKlein, Ehud2025-01-172025-01-172019-11-09Fogelson N, Diaz-Brage P, Li L, Peled A, Klein E. Functional connectivity abnormalities during processing of predictive stimuli in patients with major depressive disorder. Brain Res. 2020 Jan 15;1727:146543. doi: 10.1016/j.brainres.2019.1465430006-8993https://hdl.handle.net/10115/58198N. Fogelson was supported by the Ramón y Cajal national fellowship program, funded by the Spanish Ministry of Science and Innovation (RYC-2013-13350).The study investigated the underlying mechanisms associated with the ability of patients with major depressive disorder (MDD) to utilize predictive contextual information in order to facilitate detection of predictable versus random targets. To this end we evaluated EEG event-related functional connectivity during the processing of predictive stimuli in MDD and control subjects. A target detection task was used where targets were either preceded by randomized sequences of standards, or by sequences that included a predictive sequence. Functional connectivity was evaluated using synchronization likelihood and graph theory. The cluster coefficient and local efficiency values were greater in MDD compared to controls, during the processing of the three stimuli consisting of the predictive sequence, in the beta frequency band, suggesting an increased structured network organization. These changes were associated with increased functional connectivity within frontal networks in MDD patients compared to controls. However, no significant functional connectivity group-changes were observed for target conditions or randomized standards. These findings suggest that MDD is associated with context-specific functional connectivity abnormalities during the processing of predictive stimuli.enEEGFunctional connectivityGraph theoryMajor depressionPredictionArticle10.1016/j.brainres.2019.146543info:eu-repo/semantics/closedAccess