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A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance
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Complexity in relational processing predicts changes in functional brain network dynamics.

Luca Cocchi1, Graeme S Halford2, Andrew Zalesky3

  • 1Queensland Brain Institute and.

Cerebral Cortex (New York, N.Y. : 1991)
|April 9, 2013
PubMed
Summary
This summary is machine-generated.

Reasoning ability relies on linking variables, with complexity impacting performance. Brain networks, particularly cognitive control networks, show increased activity and connectivity with higher relational complexity.

Keywords:
cognitive controlconnectivityfMRIprefrontal cortexreasoning

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Area of Science:

  • Cognitive Neuroscience
  • Neuroimaging
  • Human Cognition

Background:

  • Relational complexity, the number of variables in a problem, is hypothesized to limit reasoning.
  • The prefrontal cortex is crucial for reasoning, but widespread brain networks are likely involved.

Purpose of the Study:

  • To investigate how relational complexity affects brain network activity and connectivity during deductive reasoning.
  • To identify the specific brain networks and regions involved in processing varying levels of relational complexity.

Main Methods:

  • Functional magnetic resonance imaging (fMRI) was used to measure brain activity.
  • A classic deductive reasoning task was employed, manipulating relational complexity.
  • Task-based connectivity analyses examined functional interactions within and between brain networks.

Main Results:

  • Behavioral performance decreased as relational complexity increased.
  • Brain activity and connectivity within and between cingulo-opercular and fronto-parietal networks increased with complexity.
  • The left dorsolateral prefrontal cortex showed altered effective connectivity, suggesting a role in integrating task demands.

Conclusions:

  • Reasoning limits are associated with complexity-dependent modulations of large-scale brain networks.
  • Cognitive control networks are dynamically engaged to manage increasing relational demands.
  • The findings highlight the distributed neural basis of complex reasoning and problem-solving.