Interaction among subsystems within default mode network diminished in schizophrenia patients: A dynamic connectivity approach

• Published in: Schizophrenia research Vol. 170; no. 1; pp. 55 - 65
• Main Authors: Du, Yuhui, Pearlson, Godfrey D., Yu, Qingbao, He, Hao, Lin, Dongdong, Sui, Jing, Wu, Lei, Calhoun, Vince D.
• Format: Journal Article
• Language: English
• Published: Netherlands Elsevier B.V 01.01.2016
• Subjects: Adult; Brain - physiopathology; Brain Mapping - methods; Cluster Analysis; Connectivity states; Default mode network; Dynamic functional connectivity; Female; fMRI; Humans; Magnetic Resonance Imaging - methods; Male; Neural Pathways - physiopathology; Psychiatric Status Rating Scales; Psychiatry; Rest; Schizophrenia; Schizophrenia - physiopathology; Schizophrenia; Default mode network; fMRI; Dynamic functional connectivity; Connectivity states
• ISSN: 0920-9964; 1573-2509
• DOI: 10.1016/j.schres.2015.11.021

Default mode network (DMN) has been reported altered in schizophrenia (SZ) using static connectivity analysis. However, the studies on dynamic characteristics of DMN in SZ are still limited. In this work, we compare dynamic connectivity within DMN between 82 healthy controls (HC) and 82 SZ patients using resting-state fMRI. Firstly, dynamic DMN was computed using a sliding time window method for each subject. Then, the overall connectivity strengths were compared between two groups. Furthermore, we estimated functional connectivity states using K-means clustering, and then investigated group differences with respect to the connectivity strengths in states, the dwell time in each state, and the transition times between states. Finally, graph metrics of time-varying connectivity patterns and connectivity states were assessed. Results suggest that measured by the overall connectivity, HC showed stronger inter-subsystem interaction than patients. Compared to HC, patients spent more time in the states with nodes sparsely connected. For each state, SZ patients presented relatively weaker connectivity strengths mainly in inter-subsystem. Patients also exhibited lower values in averaged node strength, clustering coefficient, global efficiency, and local efficiency than HC. In summary, our findings indicate that SZ show impaired interaction among DMN subsystems, with a reduced central role for posterior cingulate cortex (PCC) and anterior medial prefrontal cortex (aMPFC) hubs as well as weaker interaction between dorsal medial prefrontal cortex (dMPFC) subsystem and medial temporal lobe (MTL) subsystem. For SZ, decreased integration of DMN may be associated with impaired ability in making self-other distinctions and coordinating present mental states with episodic decisions about future.