title: Dynamic Default Mode Network across Different Brain States.
abstract: The default mode network (DMN) is a complex dynamic network that is critical for understanding cognitive function. However, whether dynamic topological reconfiguration of the DMN occurs across different brain states, and whether this potential reorganization is associated with prior learning or experience is unclear. To better understand the temporally changing topology of the DMN, we investigated both nodal and global dynamic DMN-topology metrics across different brain states. We found that DMN topology changes over time and those different patterns are associated with different brain states. Further, the nodal and global topological organization can be rebuilt by different brain states. These results indicate that the post-task, resting-state topology of the brain network is dynamically altered as a function of immediately prior cognitive experience, and that these modulated networks are assembled in the subsequent state. Together, these findings suggest that the changing topology of the DMN may play an important role in characterizing brain states.
authors.affiliation: College of Biomedical Engineering, South-Central University for Nationalities, Wuhan, 430074, China.|Key Laboratory of Biomedical Information Engineering of Education Ministry, Institute of Biomedical Engineering, Xi'an Jiaotong University, Xi'an 710049, China.|Center for Mind/Brain Sciences, University of Trento, Mattarello, 38100, Italy.|Key Laboratory of Child Development and Leaning Science of Ministry of Education, Research Center for Learning Science, Southeast University, Nanjing, Jiangsu, 210096, China.
authors.forename: Pan
authors.initials: P
authors.lastname: Lin
authors.affiliation: School of Information Technology, Jiangxi University of Finance and Economics, Nanchang, 330013, China.
authors.forename: Yong
authors.initials: Y
authors.lastname: Yang
authors.affiliation: College of Biomedical Engineering, South-Central University for Nationalities, Wuhan, 430074, China.
authors.forename: Junfeng
authors.initials: J
authors.lastname: Gao
authors.affiliation: Center for Mind/Brain Sciences, University of Trento, Mattarello, 38100, Italy.
authors.forename: Nicola
authors.initials: N
authors.lastname: De Pisapia
authors.affiliation: Key Laboratory of Child Development and Leaning Science of Ministry of Education, Research Center for Learning Science, Southeast University, Nanjing, Jiangsu, 210096, China.
authors.forename: Sheng
authors.initials: S
authors.lastname: Ge
authors.affiliation: Medical Psychological Institute of Second Xiangya Hospital, Central South University, Changsha, 410011, China.
authors.forename: Xiang
authors.initials: X
authors.lastname: Wang
authors.affiliation: Brain Imaging Center, McLean Hospital, Department of Psychiatry, Harvard Medical School, Belmont, MA, 02478, USA.
authors.forename: Chun S
authors.initials: CS
authors.lastname: Zuo
authors.affiliation: Clinical Neuroscience Division, Laboratory of Neuroscience, Department of Psychiatry, VA, Boston Healthcare System, Brockton Division, and Harvard Medical School, Boston, MA 02301, USA.|Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham &Women's Hospital, Harvard Medical School, Boston, MA 02215, USA.
authors.forename: James
authors.initials: J
authors.lastname: Jonathan Levitt
authors.affiliation: Department of Medical Imaging, First Affiliated Hospital of Xi'an Jiaotong University College of Medicine, Shaanxi Xi'an 710061, China.
authors.forename: Chen
authors.initials: C
authors.lastname: Niu
mesh_terms: D000328:Adult; D001921:Brain / Q000502:physiology*; D001931:Brain Mapping; D016000:Cluster Analysis; D005260:Female; D006801:Humans; D008297:Male; D009415:Nerve Net / Q000502:physiology*; D012146:Rest / Q000502:physiology; D013647:Task Performance and Analysis; D013997:Time Factors