科研之友
微信
新浪微博
Facebook
分享链接
摘要
Neuroimaging studies have identified that anhedonia, a core feature of major depressive disorder (MDD), is associated with dysfunction in reward and cognitive control processing. However, it is still not clear how the reward network (beta-network) and the cognitive control network (delta-network) are linked to biased anhedonia in MDD patients. Sixty-eight MDD patients and 64 cognitively normal (CN) subjects underwent a resting-state functional magnetic resonance imaging scan. A 2*2 ANCOVA analysis was used to explore the differences in the nucleus accumbens-based, voxelwise functional connectivity (FC) between the groups. Then, the beta- and delta-networks were constructed, and the FC intensities were compared within and between the beta- and delta-networks across all subjects. Multiple linear regression analyses were also employed to investigate the relationships between the neural features of the beta- and delta-networks and anhedonia in MDD patients. Compared to the CN subjects, the MDD patients showed synergistic functional decoupling in both the beta- and delta-networks, as well as decreased FC intensities in the intra- and inter- beta- and delta-networks. In addition, the FC in both the beta- and delta-networks was significantly correlated with anhedonia severity in the MDD patients. Importantly, the integrated neural features of the beta- and delta-networks could more precisely predict anhedonic symptoms. These findings initially demonstrated that the imbalance between beta- and delta-network activity successfully predicted anhedonia severity and suggested that the neural features of both the beta- and delta-networks could represent a fundamental mechanism that underlies anhedonia in MDD patients.
