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The dynamic interplay between brain entropy and functional connectivity.

Xiaoyang Xin1, Jiaqian Yu2, Cuiping Wang2

  • 1Preschool College, Luoyang Normal University, Luoyang 471000, China; Center for Psychological Sciences, Zhejiang University, Hangzhou 310027, China.

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Brain entropy (BEN), an index of neural complexity, dynamically co-varies with brain connectivity states. These distinct states reveal how brain organization relates to cognitive function, highlighting BEN

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Area of Science:

  • Neuroscience
  • Brain Connectivity
  • Neural Complexity

Background:

  • Brain entropy (BEN) measures neural complexity, but its relationship with large-scale brain connectivity is not well understood.
  • The brain's dynamic nature suggests that connectivity patterns may fluctuate with recurring states of brain entropy.

Purpose of the Study:

  • To investigate how whole-brain connectivity patterns co-vary with dynamic brain entropy (BEN) states.
  • To identify distinct BEN states and their associated functional and cognitive relevance.

Main Methods:

  • Utilized a large resting-state fMRI dataset (N=812).
  • Applied a sliding-window approach and k-means clustering to identify dynamic BEN states and their connectivity patterns.

Main Results:

  • Identified four distinct BEN states, each with unique functional and cognitive associations.
  • Low-BEN states showed segregated organization, while high-BEN states exhibited integrated organization.
  • Intermediate states displayed varying regional entropy and connectivity, linked to cognitive relevance and network organization (DMN, ECN, SAN, SMN, VN).
  • BEN-connectivity correlations were state-dependent and strongest in cognitively relevant states.

Conclusions:

  • The relationship between brain entropy and connectivity is dynamic and state-dependent.
  • BEN serves as a marker for the brain's complex, state-dependent functional organization.