4.8 Article

Dynamic reconfiguration of frontal brain networks during executive cognition in humans

Publisher

NATL ACAD SCIENCES
DOI: 10.1073/pnas.1422487112

Keywords

dynamic network; working memory; graph theory; frontal cortex; flexibility

Funding

  1. John D. and Catherine T. MacArthur Foundation
  2. Alfred P. Sloan Foundation
  3. Army Research Laboratory from the US Army Research Office [W911NF-10-2-0022]
  4. Institute for Translational Medicine and Therapeutics at Penn
  5. National Institute of Mental Health [2-R01-DC-009209-11]
  6. National Science Foundation through the Engineering, Computer and Information Science and Engineering Directorate [BCS-1441502, BCS-1430087]
  7. National Science Foundation through the Social, Behavioral, and Economic Sciences Directorate [BCS-1441502, BCS-1430087]
  8. German Federal Ministry of Education and Research [Bundesministerium fur Bildung und Forschung (BMBF)] through the Integrated Genome Research Network Systematic Investigation of the Molecular Causes of Major Mood Disorders and Schizophrenia [01GS08144, 01GS08147, 01GS08148]
  9. Innovative Medicines Initiative Joint Undertaking [115008]
  10. German Federal Ministry of Education and Research (BMBF) [01GQ1102]

Ask authors/readers for more resources

The brain is an inherently dynamic system, and executive cognition requires dynamically reconfiguring, highly evolving networks of brain regions that interact in complex and transient communication patterns. However, a precise characterization of these reconfiguration processes during cognitive function in humans remains elusive. Here, we use a series of techniques developed in the field of dynamic network neuroscience to investigate the dynamics of functional brain networks in 344 healthy subjects during a working-memory challenge (the n-back task). In contrast to a control condition, in which dynamic changes in cortical networks were spread evenly across systems, the effortful working-memory condition was characterized by a reconfiguration of frontoparietal and frontotemporal networks. This reconfiguration, which characterizes network flexibility, employs transient and heterogeneous connectivity between frontal systems, which we refer to as integration. Frontal integration predicted neuropsychological measures requiring working memory and executive cognition, suggesting that dynamic network reconfiguration between frontal systems supports those functions. Our results characterize dynamic reconfiguration of large-scale distributed neural circuits during executive cognition in humans and have implications for understanding impaired cognitive function in disorders affecting connectivity, such as schizophrenia or dementia.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.8
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available