Understanding Mental Disorders via Computational Brain Network Modeling

A special issue of Brain Sciences (ISSN 2076-3425). This special issue belongs to the section "Computational Neuroscience and Neuroinformatics".

Deadline for manuscript submissions: closed (26 December 2023) | Viewed by 199

Special Issue Editors

Dr. Cristiane Salum
E-Mail Website
Guest Editor
Center for Mathematics, Computing and Cognition, Universidade Federal do ABC, Nucleo Interdisciplinar Neurociencia Aplicada, Sao Bernardo Do Campo, Brazil
Interests: biological sciences; pharmacology
Dr. Antonio Roque
E-Mail Website
Guest Editor
Faculty of Philosophy, Sciences and Letters at Ribeirão Preto, Institute of Physics, University Sao Paulo, Ribeirao Preto, SP, Brazil
Interests: mathematical modelling; neuron; computational intelligence models; bioinformatics and computational biology; artificial neural networks; artificial intelligence; biophysics neuroscience; neural networks

Special Issue Information

Dear Colleagues,

Mental disorders are complex conditions that affect millions of people worldwide and their understanding and treatment remain major challenges for the scientific community. The traditional approach to studying mental disorders has been largely based on investigating the effects of individual brain regions or genes, neglecting the fact that these disorders arise from the intricate interactions among different brain regions and neural circuits. Computational brain network modeling offers a powerful tool to understand the complex dynamics of the brain and its functional connectivity in mental disorders. By simulating brain activity at the network level, computational models can help to elucidate the underlying mechanisms of mental disorders, identify potential biomarkers, and develop new treatments. This special issue aims to provide a comprehensive overview of the latest advances in computational brain network modeling of mental disorders, bringing together experts in the field to present cutting-edge research on a range of topics. The issue will cover a broad range of disorders and will explore the application of various modeling techniques to advance our understanding of these conditions. Overall, this special issue aims to promote a deeper understanding of the complex interactions between brain networks and mental disorders, and to highlight the potential of computational modeling as a tool for advancing our understanding of these conditions.

Dr. Cristiane Salum
Dr. Antonio Roque
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

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-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Brain Sciences 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 2200 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.

Keywords

  • mental disorders
  • computational brain network modeling
  • functional connectivity
  • potential biomarkers
  • modeling techniques

Published Papers

There is no accepted submissions to this special issue at this moment.
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