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

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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 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

Data availability

We have used online dataset for this study.

The following previously published data sets were used

(2019) A 204-subject multimodal neuroimaging dataset to study language processing
10.1038/s41597-019-0020-y.

https://www.nature.com/articles/s41597-019-0020-y

Article and author information

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Keyvan Mahjoory

Institute for Biomagnetism and Biosignalanalysis, University of Muenster, Muenster, Germany

For correspondence
kmahjoory@gmail.com

Competing interests
The authors declare that no competing interests exist.

"This ORCID iD identifies the author of this article:" 0000-0002-0386-1135
Jan-Mathijs Schoffelen

Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen, Nijmegen, Netherlands

Competing interests
The authors declare that no competing interests exist.
Anne Keitel

Psychology, University of Dundee, Dundee, United Kingdom

Competing interests
The authors declare that no competing interests exist.

"This ORCID iD identifies the author of this article:" 0000-0003-4498-0146
Joachim Gross

Institute for Biomagnetism and Biosignalanalysis, University of Muenster, Muenster, Germany

For correspondence
joachim.gross@uni-muenster.de

Competing interests
The authors declare that no competing interests exist.

Funding

University of Muenster

Keyvan Mahjoory

Nederlandse Organisatie voor Wetenschappelijk Onderzoek (864.14.011)

Jan-Mathijs Schoffelen

IZKF (Gro3/001/19)

Joachim Gross

Deutsche Forschungsgemeinschaft (GR 2024/5-1)

Joachim Gross

The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.

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This article is distributed under the terms of the Creative Commons Attribution License permitting unrestricted use and redistribution provided that the original author and source are credited.