Highlighting the Structure-Function Relationship of the Brain with the Ising Model and Graph Theory

• Published in: BioMed research international Vol. 2014; no. 2014; pp. 1 - 14
• Main Authors: Soddu, A., Laureys, S., Sosnowski, A., Crone, J. S., Abeyasinghe, P. M., Das, T. K., Owen, A. M.
• Format: Journal Article
• Language: English
• Published: Cairo, Egypt Hindawi Publishing Corporation 01.01.2014; John Wiley & Sons, Inc; Hindawi Limited
• Subjects: Brain; Brain - anatomy & histology; Brain - physiology; Brain damage; Brain Mapping; Computer Simulation; Consciousness; Graph theory; Humans; Ising model; Medical imaging; Methods; Models, Neurological; Nerve Net - physiology; Neuroimaging; Neurosciences; NMR; Nuclear magnetic resonance; Phase transitions; Physiological aspects; Review; Studies; Theory
• ISSN: 2314-6133; 2314-6141
• DOI: 10.1155/2014/237898

With the advent of neuroimaging techniques, it becomes feasible to explore the structure-function relationships in the brain. When the brain is not involved in any cognitive task or stimulated by any external output, it preserves important activities which follow well-defined spatial distribution patterns. Understanding the self-organization of the brain from its anatomical structure, it has been recently suggested to model the observed functional pattern from the structure of white matter fiber bundles. Different models which study synchronization (e.g., the Kuramoto model) or global dynamics (e.g., the Ising model) have shown success in capturing fundamental properties of the brain. In particular, these models can explain the competition between modularity and specialization and the need for integration in the brain. Graphing the functional and structural brain organization supports the model and can also highlight the strategy used to process and organize large amount of information traveling between the different modules. How the flow of information can be prevented or partially destroyed in pathological states, like in severe brain injured patients with disorders of consciousness or by pharmacological induction like in anaesthesia, will also help us to better understand how global or integrated behavior can emerge from local and modular interactions.