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bioRxiv · 10.1101/857656

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

Mahjoory, K.·Schoffelen, J.-M.·Keitel, A.·Gross, J.
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Abstract

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 these structural gradients are associated with a similar gradient in a prominent feature of brain activity - namely the frequency of brain oscillations. In resting-state MEG recordings from healthy participants (N=187), we found that the strongest peak frequency in a brain area decreases significantly, gradually and robustly 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 the cortical thickness of corresponding areas representing a proxy of the cortical hierarchical level. This result indicates that the intrinsic resonance frequency decreases systematically from early sensory to higher-order areas and establishes a new structure-function relationship pertaining to brain oscillations as a core organizational principle that may underlie hierarchical specialization in the brain.

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Mahjoory, K., Schoffelen, J.-M., Keitel, A., Gross, J.. 2019-11-27. The frequency gradient of human resting-state brain oscillations follows cortical hierarchies. https://doi.org/10.1101/857656

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