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Local structure-function relationships in human brain networks across the lifespan

Farnaz Zamani Esfahlani, Joshua Faskowitz, Jonah Slack, Bratislav Mišić, Richard F. Betzel

2022Nature Communications175 citationsDOIOpen Access PDF

Abstract

A growing number of studies have used stylized network models of communication to predict brain function from structure. Most have focused on a small set of models applied globally. Here, we compare a large number of models at both global and regional levels. We find that globally most predictors perform poorly. At the regional level, performance improves but heterogeneously, both in terms of variance explained and the optimal model. Next, we expose synergies among predictors by using pairs to jointly predict FC. Finally, we assess age-related differences in global and regional coupling across the human lifespan. We find global decreases in the magnitude of structure-function coupling with age. We find that these decreases are driven by reduced coupling in sensorimotor regions, while higher-order cognitive systems preserve local coupling with age. Our results describe patterns of structure-function coupling across the cortex and how this may change with age.

Topics & Concepts

Stylized factCoupling (piping)Variance (accounting)Set (abstract data type)Function (biology)CognitionComputer scienceHuman brainNeuroscienceBiologyEvolutionary biologyEconomicsAccountingMechanical engineeringProgramming languageEngineeringMacroeconomicsFunctional Brain Connectivity StudiesNeural dynamics and brain functionMental Health Research Topics
Local structure-function relationships in human brain networks across the lifespan | Litcius