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 6026
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
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