Network Neuroscience (Jan 2022)

Allostasis as a core feature of hierarchical gradients in the human brain

  • Yuta Katsumi,
  • Jordan E. Theriault,
  • Karen S. Quigley,
  • Lisa Feldman Barrett

DOI
https://doi.org/10.1162/netn_a_00240
Journal volume & issue
Vol. 6, no. 4
pp. 1010 – 1031

Abstract

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AbstractThis paper integrates emerging evidence from two broad streams of scientific literature into one common framework: (a) hierarchical gradients of functional connectivity that reflect the brain’s large-scale structural architecture (e.g., a lamination gradient in the cerebral cortex); and (b) approaches to predictive processing and one of its specific instantiations called allostasis (i.e., the predictive regulation of energetic resources in the service of coordinating the body’s internal systems). This synthesis begins to sketch a coherent, neurobiologically inspired framework suggesting that predictive energy regulation is at the core of human brain function, and by extension, psychological and behavioral phenomena, providing a shared vocabulary for theory building and knowledge accumulation.