Dynamic models of large-scale brain activity

By Michael Breakspear. Nature Neuroscience, 2017

1,239 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/8f4d745a47f970448b967a004b7c0f16373de0c4

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In Statistical and Nonlinear Physics

Citations in the corpus

Colloquium: Criticality and dynamical scaling in living systems (2017, background): “28 The resulting human connectome turns out to be a network organized in hierarchical modular way (Betzel et al., 2013; Breakspear, 2017; Hagmann et al., 2008; Kaiser, 2011; Meunier et al., 2010; Sporns, 2010; Sporns et al., 2004, 2005).”
Hierarchical Heterogeneity across Human Cortex Shapes Large-Scale Neural Dynamics (2018, positive): “In a major class of biophysically-based dynamical models, large-scale patterns of rs-FC arise through physiological dynamics of local cortical circuits interconnected through long-range structural connections (Breakspear, 2017; Deco et al., 2011).”
The dynamics of resting fluctuations in the brain: metastability and its dynamical cortical core (2016, neutral): “One example of a metastable dynamical system is a winnerless competition 23 , however metastability can arise from a number of underlying mechanisms and it is in this broader sense that we use the term metastability.”
Communication dynamics in complex brain networks (2017, background): “Rather than simulate the spiking of millions of individual neurons, one may consider the mean activity (for example, firing rates and membrane potentials) of neuronal ensembles or populations of neurons 12,132 .”
Questions and controversies in the study of time-varying functional connectivity in resting fMRI (2020, neutral): “…such as partial synchronization, multistable attractor landscapes, and edge-of-chaos behavior indicative of criticality (Cocchi, Gollo, Zalesky, & Breakspear, 2017; Deco, Jirsa, Robinson, Breakspear, & Friston, 2008; Heitmann & Breakspear, 2018; Roberts, Boonstra, & Breakspear, 2015; Zalesky et…”
Linking Structure and Function in Macroscale Brain Networks. (2020, neutral): “The most biologically detailed and well-studied models are biophysical dynamical systems [47,65,66].”
Motor primitives in space and time via targeted gain modulation in cortical networks (2018, neutral): “This perspective has been effective for investigations of several cortical regions [4, 5, 7, 36, 37, 46, 47].”
Quilting the Brain: Whole-Brain iEEG Reconstruction via Incomplete Observation Linear Mixed Models (2026, unknown): “These technologies o(cid:27)er whole-brain coverage, enabling researchers to infer large-scale functional network architectures and global dynamic propagation (Sanz-Leon et al., 2015; Breakspear, 2017; Deco et al., 2008).”
The time-evolving epileptic brain network: concepts, definitions, accomplishments, perspectives (2024, background): “…2011; Bick and Field, 2017; Morrison and Young, 2022; Meyer-Ortmanns, 2023) multistability (Lopes da Silva et al., 2003; Takeshita et al., 2007; Rothkegel and Lehnertz, 2009; Breakspear, 2017; Pisarchik and Hramov, 2022), and metastability (Kelso, 2012; Tognoli and Kelso, 2014; Rossi et al., 2023).”