title: Metastability and Coherence: Extending the Communication through Coherence Hypothesis Using A Whole-Brain Computational Perspective.
abstract: Understanding the mechanisms for communication in the brain remains one of the most challenging scientific questions. The communication through coherence (CTC) hypothesis was originally proposed 10 years ago, stating that two groups of neurons communicate most effectively when their excitability fluctuations are coordinated in time (i.e., coherent), and this control by cortical coherence is a fundamental brain mechanism for large-scale, distant communication. In light of new evidence from whole-brain computational modelling of multimodal neuroimaging data, we link CTC to the concept of metastability, which refers to a rich exploration of the functional repertoire made possible by the underlying structural whole-brain connectivity.
authors.affiliation: Institució Catalana de la Recerca i Estudis Avançats (ICREA), Universitat Pompeu Fabra, Passeig Lluís Companys 23, Barcelona, 08010, Spain. Electronic address: gustavo.deco@upf.edu.
authors.forename: Gustavo
authors.initials: G
authors.lastname: Deco
authors.affiliation: Department of Psychiatry, University of Oxford, Oxford OX3 7JX, UK; Center for Music in the Brain (MIB), Department of Clinical Medicine, Aarhus University, Aarhus, Denmark. Electronic address: Morten.Kringelbach@psych.ox.ac.uk.
authors.forename: Morten L
authors.initials: ML
authors.lastname: Kringelbach
mesh_terms: D000818:Animals; D001921:Brain / Q000502:physiology*; D003198:Computer Simulation; D063132:Connectome / Q000379:methods; D006801:Humans; D008959:Models, Neurological; D009434:Neural Pathways / Q000502:physiology
keywords: communication through coherence; metastability; synchronisation; whole-brain-modelling