The frequency gradient of human resting-state brain oscillations follows cortical hierarchies

Keyvan Mahjoory (Lead / Corresponding author), Jan-Mathijs Schoffelen, Anne Keitel, Joachim Gross (Lead / Corresponding author)

Research output: Contribution to journalArticlepeer-review

53 Citations (Scopus)
120 Downloads (Pure)


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.

Original languageEnglish
Article numbere53715
Number of pages18
Early online date21 Aug 2020
Publication statusPublished - 7 Sept 2020

ASJC Scopus subject areas

  • General Neuroscience
  • General Immunology and Microbiology
  • General Biochemistry,Genetics and Molecular Biology


Dive into the research topics of 'The frequency gradient of human resting-state brain oscillations follows cortical hierarchies'. Together they form a unique fingerprint.

Cite this