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Does the brain behave like a (complex) network? I. Dynamics.
Papo, D; Buldú, J M.
Affiliation
  • Papo D; Department of Neuroscience and Rehabilitation, Section of Physiology, University of Ferrara, Ferrara, Italy; Center for Translational Neurophysiology, Fondazione Istituto Italiano di Tecnologia, Ferrara, Italy. Electronic address: david.papo@unife.it.
  • Buldú JM; Complex Systems Group & G.I.S.C., Universidad Rey Juan Carlos, Madrid, Spain.
Phys Life Rev ; 48: 47-98, 2024 Mar.
Article in En | MEDLINE | ID: mdl-38145591
ABSTRACT
Graph theory is now becoming a standard tool in system-level neuroscience. However, endowing observed brain anatomy and dynamics with a complex network structure does not entail that the brain actually works as a network. Asking whether the brain behaves as a network means asking whether network properties count. From the viewpoint of neurophysiology and, possibly, of brain physics, the most substantial issues a network structure may be instrumental in addressing relate to the influence of network properties on brain dynamics and to whether these properties ultimately explain some aspects of brain function. Here, we address the dynamical implications of complex network, examining which aspects and scales of brain activity may be understood to genuinely behave as a network. To do so, we first define the meaning of networkness, and analyse some of its implications. We then examine ways in which brain anatomy and dynamics can be endowed with a network structure and discuss possible ways in which network structure may be shown to represent a genuine organisational principle of brain activity, rather than just a convenient description of its anatomy and dynamics.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Brain / Neurosciences Language: En Journal: Phys Life Rev Journal subject: BIOFISICA Year: 2024 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Brain / Neurosciences Language: En Journal: Phys Life Rev Journal subject: BIOFISICA Year: 2024 Document type: Article