Entropy in Brain Networks

Dear Colleagues,

The human bain is the last biological frontier. Being a complex, hierarchical, and dynamical system governed by intricate nonlinear interactions at different levels, to disentangle the brain behavior and neural interactions has become a cutting-edge challenge. In order to obtain a comprehensive description of the structure and function of the brain, as well as how both interact with each other, modern neuroscience approaches rely on multilevel and multimodal analyses that frequently describe it as a complex network. Network neuroscience is hence becoming of paramount importance to provide further insight into brain functioning and structural organization. Notwithstanding, to unravel how the brain is organized and works, it is necessary to take a step forward and consider the nonlinear nature of such a system. Tools from information theory are well-suited for this task. In this regard, entropy is a powerful explanatory tool, which provides a theoretical and operational framework to obtain both quantitative and qualitative descriptions of the intrinsic properties of a system. Merging of network analysis with information theory methods can indeed help to provide novel descriptions of the fundamental basis of brain networks.

This Special Issue aims at exploring the role of entropy-based methodologies to further understand brain networks, encouraging novel studies focused on exploring the complex organization of structural networks and the mechanisms associated with the transmission and processing of brain information in functional networks. We welcome the submission of original research papers focused on basic research and applied methods that rely on entropy-based approaches to understand, characterize, and model structural and functional brain networks.

Prof. Dr. Jesús Poza
Prof. Dr. María García
Dr. Javier Gomez-Pilar
Guest Editors

Manuscript Submission Information

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Entropy is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.