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Researchers discovered three interdependent gradients organizing brain connectivity. These gradients, reflecting functional and structural features, reveal a circumplex organization crucial for the brain's internal world model.

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Area of Science:

  • Neuroscience
  • Cognitive Neuroscience
  • Brain Imaging

Background:

  • The brain's intrinsic functional architecture is key to maintaining an internal model of the world.
  • Understanding the organizational principles of intrinsic functional connectivity is fundamental in neuroscience.

Purpose of the Study:

  • To identify and characterize the fundamental architectural gradients organizing intrinsic functional connectivity in the human cerebral cortex.
  • To investigate the relationship between these gradients and functional/structural brain features.

Main Methods:

  • Utilized resting-state functional magnetic resonance imaging (fMRI) data from two large cohorts of healthy young adults (N=280 and N=270).
  • Generated functional connectivity maps from 109 seeds, calculated pairwise similarities, and applied multidimensional scaling.
  • Determined the optimal dimensionality of the functional connectivity similarity matrix.

Main Results:

  • Identified three interdependent architectural gradients that optimally explain 98% of the variance in functional connectivity.
  • These gradients correlate with distinctions between external/internal information sources, content/attentional modulation, and central/peripheral anatomical locations.
  • Functional connectivity maps exhibit a circumplex structure when remapped into the 3D gradient space.

Conclusions:

  • The organization of intrinsic brain connectivity is jointly guided by graded changes across multiple, continuous functional and anatomical gradients.
  • Findings support the predictive coding framework, highlighting coordinated gradient interactions in brain function.
  • This study provides a novel framework for understanding the brain's intrinsic functional organization.