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Multi-modal and multi-subject modular organization of human brain networks

Maria Grazia Puxeddu, Joshua Faskowitz, Olaf Sporns, Laura Astolfi, Richard F. Betzel
doi: https://doi.org/10.1101/2022.01.26.477897
Maria Grazia Puxeddu
1Department of Computer, Control and Management Engineering, University of Rome La Sapienza, Rome, 00185, Italy
2IRCCS, Fondazione Santa Lucia, Rome, 00142, Italy
3Department of Psychological and Brain Sciences, Indiana University, Bloomington, IN 47405
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Joshua Faskowitz
3Department of Psychological and Brain Sciences, Indiana University, Bloomington, IN 47405
5Program in Neuroscience, Indiana University, Bloomington, IN 47405
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Olaf Sporns
3Department of Psychological and Brain Sciences, Indiana University, Bloomington, IN 47405
4Cognitive Science Program, Indiana University, Bloomington, IN 47405
5Program in Neuroscience, Indiana University, Bloomington, IN 47405
6Network Science Institute, Indiana University, Bloomington, IN 47405
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Laura Astolfi
1Department of Computer, Control and Management Engineering, University of Rome La Sapienza, Rome, 00185, Italy
2IRCCS, Fondazione Santa Lucia, Rome, 00142, Italy
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Richard F. Betzel
3Department of Psychological and Brain Sciences, Indiana University, Bloomington, IN 47405
4Cognitive Science Program, Indiana University, Bloomington, IN 47405
5Program in Neuroscience, Indiana University, Bloomington, IN 47405
6Network Science Institute, Indiana University, Bloomington, IN 47405
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  • For correspondence: rbetzel@indiana.edu
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Abstract

The human brain is a complex network of anatomically interconnected brain areas. Spontaneous neural activity is constrained by this architecture, giving rise to patterns of statistical dependencies between the activity of remote neural elements. The non-trivial relationship between structural and functional connectivity poses many unsolved challenges about cognition, disease, development, learning and aging. While numerous studies have focused on statistical relationships between edge weights in anatomical and functional networks, less is known about dependencies between their modules and communities. In this work, we investigate and characterize the relationship between anatomical and functional modular organization of the human brain, developing a novel multi-layer framework that expands the classical concept of multi-layer modularity optimization. By simultaneously mapping anatomical and functional networks estimated from different subjects into communities, this approach allows us to carry out a multi-subject and multi-modal analysis of the brain’s modular organization. Here, we investigate the relationship between anatomical and functional modules during resting state, finding unique and shared structures. The proposed framework constitutes a methodological advance in the context of multi-layer network analysis and paves the way to further investigate the relationship between structural and functional network organization in clinical cohorts, during cognitively demanding tasks, and in developmental or lifespan studies.

Competing Interest Statement

The authors have declared no competing interest.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted January 27, 2022.
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Multi-modal and multi-subject modular organization of human brain networks
Maria Grazia Puxeddu, Joshua Faskowitz, Olaf Sporns, Laura Astolfi, Richard F. Betzel
bioRxiv 2022.01.26.477897; doi: https://doi.org/10.1101/2022.01.26.477897
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Multi-modal and multi-subject modular organization of human brain networks
Maria Grazia Puxeddu, Joshua Faskowitz, Olaf Sporns, Laura Astolfi, Richard F. Betzel
bioRxiv 2022.01.26.477897; doi: https://doi.org/10.1101/2022.01.26.477897

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