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Reconfigurable task-dependent functional coupling modes cluster around a core functional architecture.

Fenna M Krienen1, B T Thomas Yeo2, Randy L Buckner3

  • 1Department of Psychology, Center for Brain Science, Harvard University, Cambridge, MA, USA Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, USA.

Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences
|September 3, 2014
PubMed
Summary
This summary is machine-generated.

Brain functional coupling shows stable core patterns across diverse tasks, with specific modifications for varying cognitive demands. This reveals a flexible network architecture constrained by underlying anatomy.

Keywords:
MRIcortical networksfunctional connectivityintrinsic connectivityresting-state

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Area of Science:

  • Neuroscience
  • Cognitive Neuroscience
  • Brain Network Analysis

Background:

  • Brain functional connectivity varies with task demands.
  • Understanding stable and dynamic network configurations is crucial.

Purpose of the Study:

  • To explore the range and central tendencies of brain network configurations.
  • To investigate how functional coupling patterns change across different task states.

Main Methods:

  • Functional magnetic resonance imaging (fMRI) was used.
  • Coupling patterns were analyzed across 14 distinct task states.
  • Network configurations were compared to meta-analyzed coactivation patterns.

Main Results:

  • Mean global correlation profiles showed consistent ranges (0.69-0.82) across tasks.
  • Network configurations from passive and demanding tasks predicted coactivation patterns.
  • Distinct task states exhibited significant differences in coupling patterns.

Conclusions:

  • Core functional architecture remains dominant across varied task demands.
  • Task-specific coupling patterns represent modifications to this core.
  • Anatomical connectivity may constrain network configurations to robust states.