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  Functional harmonics reveal multi-dimensional basis functions underlying cortical organization

Glomb, K., Kringelbach, M. L., Deco, G., Hagmann, P., Pearson, J., & Atasoy, S. (2021). Functional harmonics reveal multi-dimensional basis functions underlying cortical organization. Cell Reports, 36(8): 109554. doi:10.1016/j.celrep.2021.109554.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0009-3E30-C Version Permalink: https://hdl.handle.net/21.11116/0000-0009-3E31-B
Genre: Journal Article

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 Creators:
Glomb, Katharina1, Author
Kringelbach, Morten L.2, 3, Author
Deco, Gustavo4, 5, 6, 7, Author           
Hagmann, Patric1, Author
Pearson, Joel8, Author
Atasoy, Selen2, 3, Author
Affiliations:
1Department of Radiology, Centre hospitalier universitaire vaudois, Lausanne, Switzerland, ou_persistent22              
2Department of Psychiatry, Warneford Hospital, University of Oxford, United Kingdom, ou_persistent22              
3Department of Clinical Medicine, Center for Music in the Brain, Aarhus University, Denmark, ou_persistent22              
4Center for Brain and Cognition, University Pompeu Fabra, Barcelona, Spain, ou_persistent22              
5Catalan Institution for Research and Advanced Studies (ICREA), University Pompeu Fabra, Barcelona, Spain, ou_persistent22              
6Department Neuropsychology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634551              
7School of Psychological Sciences, Monash University, Melbourne, Australia, ou_persistent22              
8School of Psychology, University of New South Wales, Sydney, Australia, ou_persistent22              

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Free keywords: Human cortex; Functional connectivity; fMRI; Harmonic modes; Brain networks
 Abstract: The human brain consists of specialized areas that flexibly interact to form a multitude of functional networks. Complementary to this notion of modular organization, brain function has been shown to vary along a smooth continuum across the whole cortex. We demonstrate a mathematical framework that accounts for both of these perspectives: harmonic modes. We calculate the harmonic modes of the brain’s functional connectivity graph, called “functional harmonics,” revealing a multi-dimensional, frequency-ordered set of basis functions. Functional harmonics link characteristics of cortical organization across several spatial scales, capturing aspects of intra-areal organizational features (retinotopy, somatotopy), delineating brain areas, and explaining macroscopic functional networks as well as global cortical gradients. Furthermore, we show how the activity patterns elicited by seven different tasks are reconstructed from a very small subset of functional harmonics. Our results suggest that the principle of harmonicity, ubiquitous in nature, also underlies functional cortical organization in the human brain.

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Language(s): eng - English
 Dates: 2021-04-062020-10-292021-07-272021-08-242021-08-24
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1016/j.celrep.2021.109554
PMID: 34433059
PMC: PMC8411120
 Degree: -

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Project name : -
Grant ID : 170873
Funding program : -
Funding organization : Swiss National Science Foundation
Project name : -
Grant ID : DNRF117
Funding program : -
Funding organization : Danish National Research Foundation
Project name : -
Grant ID : 945539
Funding program : Human Brain Project
Funding organization : -
Project name : -
Grant ID : 860563
Funding program : European School of Network Neuroscience
Funding organization : -
Project name : -
Grant ID : 001-P-001682
Funding program : The Emerging Human Brain Cluster
Funding organization : -
Project name : -
Grant ID : 201725.33
Funding program : Brain-Connects
Funding organization : -
Project name : -
Grant ID : APP1024800, APP1046198, APP1085404, APP1049596, DP140101560
Funding program : -
Funding organization : National Health and Medical Research Council (NHMRC)

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Title: Cell Reports
Source Genre: Journal
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Publ. Info: Maryland Heights, MO : Cell Press
Pages: - Volume / Issue: 36 (8) Sequence Number: 109554 Start / End Page: - Identifier: ISSN: 2211-1247
CoNE: https://pure.mpg.de/cone/journals/resource/2211-1247