Static and dynamic posterior cingulate cortex nodal topology of default mode network predicts attention task performance

Pan Lin, Yong Yang, Jorge Jovicich, Nicola De Pisapia, Xiang Wang, Chun S. Zuo, James Jonathan Levitt

Research output: Contribution to journalArticle

Abstract

Characterization of the default mode network (DMN) as a complex network of functionally interacting dynamic systems has received great interest for the study of DMN neural mechanisms. In particular, understanding the relationship of intrinsic resting-state DMN brain network with cognitive behaviors is an important issue in healthy cognition and mental disorders. However, it is still unclear how DMN functional connectivity links to cognitive behaviors during resting-state. In this study, we hypothesize that static and dynamic DMN nodal topology is associated with upcoming cognitive task performance. We used graph theory analysis in order to understand better the relationship between the DMN functional connectivity and cognitive behavior during resting-state and task performance. Nodal degree of the DMN was calculated as a metric of network topology. We found that the static and dynamic posterior cingulate cortex (PCC) nodal degree within the DMN was associated with task performance (Reaction Time). Our results show that the core node PCC nodal degree within the DMN was significantly correlated with reaction time, which suggests that the PCC plays a key role in supporting cognitive function.

Original languageEnglish
Pages (from-to)212-225
Number of pages14
JournalBrain Imaging and Behavior
Volume10
Issue number1
DOIs
Publication statusPublished - Mar 1 2016

Keywords

  • Default mode network (DMN)
  • Degree
  • Functional connectivity (FC)
  • Posterior cingulate cortex (PCC)
  • Task performance

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging
  • Behavioral Neuroscience
  • Cellular and Molecular Neuroscience
  • Cognitive Neuroscience
  • Neurology
  • Psychiatry and Mental health
  • Clinical Neurology

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