Brain Connectivity Complex Systems
A special issue of Entropy (ISSN 1099-4300). This special issue belongs to the section "Entropy and Biology".
Deadline for manuscript submissions: closed (30 September 2022) | Viewed by 8646
Special Issue Editors
Interests: statistics; multivariate data analysis; structural equation models; quantitative and computation; quantitative neuroscience
Special Issue Information
Dear Colleagues,
In recent years, many papers have proposed the study of brain connectivity networks that are derived from the behaviour of many types of brain signals. The current proposal is based on the fact that the properties of the connectivity networks, inferred from the various options of the expert systems, can represent patterns of brain behaviour. This approach is based on the concept of the brain as a complex system in which the inter-relationships (edges) between various areas of the brain (nodes) can be modeled as a complex network in an activation situation, that is, when solving some cognitive task, or even at rest. The brain functional network can be associated with various states of brain function. From this perspective, it would be feasible to study complexity as a discriminating factor between, for example, clinical populations or between different differential states within the same population. In turn, we can then describe evolutionary states in a healthy population or under various diagnostic effects, for example, by studying the healthy aging process or the aging effect itself in populations with compromised intellectual capacities. On the other hand, the relationship between these connectivity patterns can be analysed with various representative variables of different states and circumstances of people, such as evaluations of quality of life or moods. Similarly, these types of patterns can be analysed from the perspective of their possible role as a biomarker of different risk states for the onset of disease or as a complementary element to the diagnostic processes.
This monograph aims to provide some reflections and proposals around this field of research, as well as various applications in the study of brain signals, particularly by using functional magnetic resonance imaging (fMRI) in general studies and by using maps (whole brain) or selecting specific areas (regions of interest) with neurofunctional or neurostructural interest. We encourage the submission of manuscripts that compare the performance of approaches to these problems using entropic and other methods.
Prof. Dr. Joan Guàrdia-Olmos
Prof. Albert Diaz-Guilera
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. 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.
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.
Further information on MDPI's Special Issue policies can be found here.
