The dynamics of resting fluctuations in the brain: metastability and its dynamical cortical core
Institució Catalana de Recerca i Estudis Avançats · Universitat Pompeu Fabra · +8 more institutions
Abstract
In the human brain, spontaneous activity during resting state consists of rapid transitions between functional network states over time but the underlying mechanisms are not understood. We use connectome based computational brain network modeling to reveal fundamental principles of how the human brain generates large-scale activity observable by noninvasive neuroimaging. We used structural and functional neuroimaging data to construct whole- brain models. With this novel approach, we reveal that the human brain during resting state operates at maximum metastability, i.e. in a state of maximum network switching. In addition, we investigate cortical heterogeneity across areas. Optimization of the spectral…
Citation impact
- FWCI
- 18.88
- Percentile
- 100%
- References
- 67
Authors
4- GDGustavo Deco
Institució Catalana de Recerca i Estudis Avançats, Universitat Pompeu Fabra, Max Planck Institute for Human Cognitive and Brain Sciences, Monash University
- MLMorten L. KringelbachCorresponding
Aarhus University, University of Oxford, Royal Academy of Music
- VJViktor Jirsa
Inserm, Institut de Neurosciences des Systèmes
- PRPetra Ritter
Max Planck Institute for Human Cognitive and Brain Sciences, Charité - Universitätsmedizin Berlin
Topics & keywords
- Connectomics
- Neuroimaging
- Connectome
- Neuroscience
- Human brain
- Resting state fMRI
- Brain activity and meditation
- Human Connectome Project