Understanding the dynamics of biological and neural oscillator networks through exact mean-field reductions: a review DOI Creative Commons
Christian Bick, Marc Goodfellow, Carlo R. Laing

и другие.

The Journal of Mathematical Neuroscience, Год журнала: 2020, Номер 10(1)

Опубликована: Май 27, 2020

Abstract Many biological and neural systems can be seen as networks of interacting periodic processes. Importantly, their functionality, i.e., whether these perform function or not, depends on the emerging collective dynamics network. Synchrony oscillations is one most prominent examples such behavior has been associated both with dysfunction. Understanding how network structure interactions, well microscopic properties individual units, shape critical to find factors that lead malfunction. However, many brain consist a large number dynamical units. Hence, analysis either relied simplified heuristic models coarse scale, comes at huge computational cost. Here we review recently introduced approaches, known Ott–Antonsen Watanabe–Strogatz reductions, allowing simplify by bridging small scales. Thus, reduced model equations are obtained exactly describe for each subpopulation in oscillator via few variables only. The resulting next-generation models: Rather than being heuristic, they link macroscopic descriptions therefore accurately capture underlying system. At same time, sufficiently simple analyze without great effort. In last decade, reduction methods have become instrumental understanding interactions emergence synchrony. We this progress based concrete outline possible limitations. Finally, discuss linking experimental data guide way towards development new treatment example, neurological disease.

Язык: Английский

The entropic brain: a theory of conscious states informed by neuroimaging research with psychedelic drugs DOI Creative Commons
Robin Carhart‐Harris, Robert Leech, Peter J. Hellyer

и другие.

Frontiers in Human Neuroscience, Год журнала: 2014, Номер 8

Опубликована: Янв. 1, 2014

Entropy is a dimensionless quantity that used for measuring uncertainty about the state of system but it can also imply physical qualities, where high entropy synonymous with disorder. applied here in context states consciousness and their associated neural dynamics, particular focus on psychedelic state. The considered an exemplar primitive or primary preceded development modern, adult, human, normal waking consciousness. Based neuroimaging data psilocybin, classic drug, argued defining feature ‘primary states’ elevated certain aspects brain function, such as repertoire functional connectivity motifs form fragment across time. It noted this sense, characteristic systems exhibiting ‘self-organised criticality’, i.e., property gravitate towards ‘critical’ point transition zone between order disorder which phenomena power-law scaling appear. This implies suppressed consciousness, meaning operates just below criticality. suppression furnishes constrained quality metacognitive functions, including reality-testing self-awareness. proposed entry into depends collapse normally highly organised activity within default-mode network (DMN) decoupling DMN medial temporal lobes (which are significantly coupled). These hypotheses be tested by examining cognition other candidate REM sleep early psychosis comparing these non-primary anaesthetised

Язык: Английский

Процитировано

1045
EEG microstates as a tool for studying the temporal dynamics of whole-brain neuronal networks: A review DOI Creative Commons
Christoph M. Michel, Thomas Koenig

NeuroImage, Год журнала: 2017, Номер 180, С. 577 - 593

Опубликована: Дек. 2, 2017

The present review discusses a well-established method for characterizing resting-state activity of the human brain using multichannel electroencephalography (EEG). This involves examination electrical microstates in brain, which are defined as successive short time periods during configuration scalp potential field remains semi-stable, suggesting quasi-simultaneity among nodes large-scale networks. A few prototypic microstates, occur repetitive sequence across time, can be reliably identified participants. Researchers have proposed that these represent basic building blocks chain spontaneous conscious mental processes, and their occurrence temporal dynamics determine quality mentation. Several studies further demonstrated disturbances processes associated with neurological psychiatric conditions manifest changes specific microstates. Combined EEG-fMRI EEG source imaging indicated closely networks fMRI. scale-free properties series explain why similar observed at such different scales. will provide an overview available methods analysis, functional interpretations findings regarding behavioral clinical correlates.

Язык: Английский

Процитировано

979
The Dynamics of Functional Brain Networks: Integrated Network States during Cognitive Task Performance DOI Creative Commons
James M. Shine, Patrick G. Bissett, Peter T. Bell

и другие.

Neuron, Год журнала: 2016, Номер 92(2), С. 544 - 554

Опубликована: Окт. 1, 2016

Язык: Английский

Процитировано

820
Rethinking segregation and integration: contributions of whole-brain modelling DOI
Gustavo Deco, Giulio Tononi, Mélanie Boly

и другие.

Nature reviews. Neuroscience, Год журнала: 2015, Номер 16(7), С. 430 - 439

Опубликована: Июнь 17, 2015

Язык: Английский

Процитировано

610
Criticality in the brain: A synthesis of neurobiology, models and cognition DOI
Luca Cocchi, Leonardo L. Gollo, Andrew Zalesky

и другие.

Progress in Neurobiology, Год журнала: 2017, Номер 158, С. 132 - 152

Опубликована: Июль 19, 2017

Язык: Английский

Процитировано

513
Self-organization, free energy minimization, and optimal grip on a field of affordances DOI Creative Commons
Jelle Bruineberg, Erik Rietveld

Frontiers in Human Neuroscience, Год журнала: 2014, Номер 8

Опубликована: Авг. 12, 2014

In this paper, we set out to develop a theoretical and conceptual framework for the new field of Radical Embodied Cognitive Neuroscience. This should be able integrate insights from several relevant disciplines: theory on embodied cognition, ecological psychology, phenomenology, dynamical systems theory, neurodynamics. We suggest that main task Neuroscience is investigate phenomenon skilled intentionality perspective self-organization brain-body-environment system, while doing justice phenomenology action. previous work, have characterized as organism's tendency toward an optimal grip multiple affordances simultaneously. Affordances are possibilities action provided by environment. first part introduce notion responsiveness affordances. Second, use Friston's work neurodynamics, but embed very minimal version his Free Energy Principle in niche animal. Thus amended, principle helpful understanding embeddedness neurodynamics within dynamics system "brain-body-landscape affordances." Next, show how can adjusted understand selective openness environment: interacting action-readiness patterns at timescales contribute final emphasize important role metastable both brain adequate affordance-responsiveness. exemplify our integrative approach presenting research impact Deep Brain Stimulation affordance OCD patients.

Язык: Английский

Процитировано

500
Dynamic Network Communication as a Unifying Neural Basis for Cognition, Development, Aging, and Disease DOI Creative Commons
Bradley Voytek, Robert T. Knight

Biological Psychiatry, Год журнала: 2015, Номер 77(12), С. 1089 - 1097

Опубликована: Май 2, 2015

Perception, cognition, and social interaction depend upon coordinated neural activity. This coordination operates within noisy, overlapping, distributed networks operating at multiple timescales. These are built a structural scaffolding with intrinsic neuroplasticity that changes development, aging, disease, personal experience. In this article, we begin from the perspective successful interregional communication relies transient synchronization between distinct low-frequency (<80 Hz) oscillations, allowing for brief windows of via phase-coordinated local neuronal spiking. From this, construct theoretical framework dynamic network communication, arguing these reflect balance oscillatory coupling population spiking activity two levels interact. We theorize when is too strong, spike timing becomes synchronous; weak, disorganized. Each results in specific disruptions to communication. alterations dynamics may underlie cognitive associated healthy development addition neurological psychiatric disorders. A number disorders—including Parkinson's autism, depression, schizophrenia, anxiety—are abnormalities Although experience differ biological gray or white matter, neurotransmission, gene expression, our suggests any resultant behavioral normal disordered states their treatment product how physical processes affect

Язык: Английский

Процитировано

497
Chimera states: coexistence of coherence and incoherence in networks of coupled oscillators DOI
Mark J. Panaggio, Daniel M. Abrams

Nonlinearity, Год журнала: 2015, Номер 28(3), С. R67 - R87

Опубликована: Фев. 16, 2015

A chimera state is a spatio-temporal pattern in network of identical coupled oscillators which synchronous and asynchronous oscillation coexist. This broken symmetry, usually coexists with stable spatially symmetric state, has intrigued the nonlinear dynamics community since its discovery early 2000s. Recent experiments have led to increasing interest origin these states. Here we review history research on states highlight major advances understanding their behaviour.

Язык: Английский

Процитировано

488
The dynamics of resting fluctuations in the brain: metastability and its dynamical cortical core DOI Creative Commons
Gustavo Deco, Morten L. Kringelbach, Viktor Jirsa

и другие.

Scientific Reports, Год журнала: 2017, Номер 7(1)

Опубликована: Июнь 2, 2017

In the human brain, spontaneous activity during resting state consists of rapid transitions between functional network states over time but underlying mechanisms are not understood. We use connectome based computational brain modeling to reveal fundamental principles how generates large-scale observable by noninvasive neuroimaging. used structural and neuroimaging data construct whole- models. With this novel approach, we that operates at maximum metastability, i.e. in a switching. addition, investigate cortical heterogeneity across areas. Optimization spectral characteristics each local region revealed dynamical core which is driving rest whole brain. Brain modelling goes beyond correlational analysis reveals non-trivial non-invasive observations. Our findings significantly pertain important role connectomics understanding function.

Язык: Английский

Процитировано

482
Chimera states in neuronal networks: A review DOI
Soumen Majhi, Bidesh K. Bera, Dibakar Ghosh

и другие.

Physics of Life Reviews, Год журнала: 2018, Номер 28, С. 100 - 121

Опубликована: Сен. 12, 2018

Язык: Английский

Процитировано

417