REVIEW article
Front. Netw. Physiol.
Sec. Networks in the Brain System
Volume 5 - 2025 | doi: 10.3389/fnetp.2025.1667656
Biological detail and graph structure in network neuroscience
Provisionally accepted
David Papo1,2*
Javier M. Buldú3,4- 1Universita degli Studi di Ferrara, Ferrara, Italy
- 2Fondazione Istituto Italiano di Tecnologia, Ferrara, Italy
- 3Universidad Rey Juan Carlos, Móstoles, Spain
- 4Grupo Interdisciplinar de Sistemas Complejos (GISC), Mostoles, Madrid, Spain, Mostoles, Spain
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Representing the brain as a complex network typically involves approximations of both biological detail and network structure. Here, we discuss the sort of biological detail that may improve network models of brain activity and, conversely, how standard network structure may be refined to more directly address additional neural properties. It is argued that generalised structures face the same fundamental issues related to intrinsicality, universality and functional meaningfulness of standard network models. Ultimately finding the appropriate level of biological and network detail will require understanding how given network structure can perform specific functions, but also a better characterisation of neurophysiological stylised facts and of the structure-dynamics-function relationship.
Keywords: Brain Dynamics, brain topology, Functional Networks, Hypergraphs, intrinsical properties, Multilayer networks, Multiplex Networks, renormalisation group
Received: 16 Jul 2025; Accepted: 15 Sep 2025.
Copyright: © 2025 Papo and Buldú. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: David Papo, papodav@gmail.com
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.