We’ve come so far…

Collectively, the BrainNRG group has taken network theories of brain function to the empirical front lines, providing tools and examples of successfully translating theories into tangible outcomes. The pinnacle of this is The Virtual Brain, the world’s first connectome-based brain modeling platform that directly integrates empirical data and generates realistic and personalized brain models. The Brain NRG represent a revolution around the way we study, understand and treat brain diseases and disorders.


…And we aren’t done yet.



Key Publications


Falcon MI, Riley JD, Jirsa VK, McIntosh AR, Chen EE, Solodkin A. (2016) Disorders of the Nervous System Functional Mechanisms of Recovery after Chronic Stroke: Modeling with the Virtual Brain, eNeuro,

Adhikari MH, Raja Beharelle A, Griffa A, Hagmann P, Solodkin A, McIntosh AR, Small SL, Deco G (2016) Computational Modeling of Resting-State Activity Demonstrates Markers of Normalcy in Children with Prenatal or Perinatal Stroke, J Neurosci, 35(23):8914-8924

Falcon FI, Jirsa VK, Solodkin A (2016) A new neuroinformatics approach to personalized medicine in neurology: The Virtual Brain, Current opinion in neurology 29 (4), 429

Woodman MM, Pezard L, L Domide L, Knock SA, Sanz-Leon P, Mersmann J, McIntosh AR, Jirsa VK (2014) Integrating neuroinformatics tools in TheVirtualBrain, Frontiers in neuroinformatics 8, 36

McIntosh AR, Vakorin V, Kovacevic N, Wang H, Diaconescu, A, Protzner AB (2013) Spatiotemporal Dependency of Age-Related Changes in Brain Signal Variability. Cereb. Cortex, 24, (7);1806–1817

Deco G, Jirsa VK, McIntosh AR (2013) Resting brains never rest: computational insights into potential cognitive architectures, Trends in neurosciences 36 (5), 268-274

McAndrews MP & Cohn M (2012) Neuropsychology in temporal lobe epilepsy: Influences from cognitive neuroscience and functional neuroimaging. Epilepsy Research and Treatment, Article ID 925238, doi:10.1155/2012/925238

Sporns O (2012) From simple graphs to the connectome: Networks in neuroimaging. NeuroImage 62, 881-886

Deco G, Jirsa VK (2012) Ongoing cortical activity at rest: criticality, multistability and ghost attractors. Journal of Neuroscience, 32(10): 3366-3375

Deco G, Senden M, Jirsa VK (2012) How anatomy shapes dynamics: a semi-analytical study of the brain at rest by a simple spin model. Frontiers in Computational Neuroscience 6 (68), 1-7

Cabral J, Hugues E, Kringelbach M, Deco G (2012) Modeling the outcome of structural disconnection on resting-state functional connectivity. NeuroImage 62 (3), 1342-1353

Freyer F, Roberts JA, Ritter P, & Breakspear M (2012). A canonical model of multistability and scale-invariance in biological systems. PLoS Comput Biol, 8(8)

Massimini M, Ferrarelli F, Sarasso S, Tononi G (2012) Cortical mechanisms of loss of consciousness: insight from TMS/EEG studies. Arch Ital Biol,150(2-3); 44-55

Deco G, Jirsa VK, McIntosh AR (2011) Emerging concepts for the dynamical organization of resting-state activity in the brain, Nature Rev Neurosci 12 (1), 43

Jirsa VK, Sporns O, Breakspear M, Deco G, McIntosh AR (2010) Towards the virtual brain: network modelling of the intact and the damaged brain, Arch Ital Biol, 148:189-205

Deco G, Jirsa VK, McIntosh AR, Sporns O, Kötter R (2009) Key role of coupling, delay, and noise in resting brain fluctuations. PNAS, 0901831106

Deco G, Jirsa VK, Robinson PA, Breakspear M, Friston K (2008) The Dynamic Brain: From Spiking Neurons to Neural Masses and Cortical Fields. PLoS Comput Biol 4(8): e1000092

Sporns O, Honey CJ, Kotter R (2007) Identification and Classification of Hubs in Brain Networks. PLoS ONE 2(10): e1049

Sporns O, Tononi G, Kötter R (2005) The human connectome. A structural description of the human brain. PLoS Comput. Biol. 1: e42