Hierarchies in resting-state brain activity

The frequency gradient of human resting-state brain oscillations follows cortical hierarchies -> https://t.co/XIosYmxvVF
"the dominant peak frequency in a brain area decreases significantly along the posterior-anterior axis"#neuroscience pic.twitter.com/tCk4RauCHK

— Felix Scholkmann (@FScholkmann) August 25, 2020

Abstract of the linked article:

The human cortex is characterized by local morphological features such as cortical thickness, myelin content, and gene expression that change along the posterior-anterior axis. We investigated if some of these structural gradients are associated with a similar gradient in a prominent feature of brain activity - namely the frequency of oscillations. In resting-state MEG recordings from healthy participants (N=187) using mixed effect models, we found that the dominant peak frequency in a brain area decreases significantly along the posterior-anterior axis following the global hierarchy from early sensory to higher-order areas. This spatial gradient of peak frequency was significantly anticorrelated with that of cortical thickness, representing a proxy of the cortical hierarchical level. This result indicates that the dominant frequency changes systematically and globally along the spatial and hierarchical gradients and establishes a new structure-function relationship pertaining to brain oscillations as a core organization that may underlie hierarchical specialization in the brain.