Normal and pathological oscillatory communication in the brain

By Alfons Schnitzler, Joachim Gross. Nature Reviews Neuroscience, 2005

1,280 citations recorded by the source corpus.

Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience

View Paper: https://www.semanticscholar.org/paper/4cde13a3f399f4b50516d968de205a882ef34faa

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In Cellular and Molecular Neuroscience

In Cognitive Neuroscience

Citations in the corpus

Nonlinear multivariate analysis of neurophysiological signals. (2005, background): “The latest findings and perspectives on the concept of long-range neuronal synchronization and desynchronization in motor control and cognition, in normal as well as pathological conditions, have been recently reviewed elsewhere (Schnitzler and Gross, 2005).”
Nonlinear dynamical analysis of EEG and MEG: review of an emerging field. (2005, background): “…functions cannot be derived from a purely reductionistic approach and requires the study of emergent phenomena such as large scale synchronization of neuronal networks in the brain (Bressler, 2002; Le van Quyen, 2003; Schnitzler and Gross, 2005; Varela et al., Published by Elsevier Ireland Ltd.”
The role of oscillations and synchrony in cortical networks and their putative relevance for the pathophysiology of schizophrenia. (2008, background): “Further evidence for a relationship between long-range synchronization and beta-band activity was reported by Schnitzler and Gross.”
Meditation and the neuroscience of consciousness (2007, background): “Large-scale integration concerns neural assemblies that are farther apart in the brain, and connected through polysynaptic pathways with transmission delays greater than 8 to 10 milliseconds (Schnitzler & Gross, 2005; Varela et al., 2001).”
A shift of visual spatial attention is selectively associated with human EEG alpha activity (2005, background): “But also connectivity in the lower beta range (about 15 Hz) between prefrontal and posterior cortices is reported to be strongly related to attention processes (Gross et al., 2004; Schnitzler & Gross, 2005).”
A statistical framework for neuroimaging data analysis based on mutual information estimated via a gaussian copula (2016, background): “potential for understanding brain oscillations, which are increasingly thought to underlie many important cognitive processes [Schnitzler and Gross, 2005; Singer, 2013; Thut et al., 2012; Wang, 2010].”
A theoretical study of different leader roles in networks (2006, background): “• In a neural context, parameter changes in low order models may lead to entirely different qualitative behaviors [9], [25].”
Enhancement of human cognitive performance using transcranial magnetic stimulation (TMS) (2013, background): “Converging evidence highlights the importance of oscillatory behavior in cortical integration (Crick and Koch, 1990; Schnitzler and Gross, 2005), and in memory, attention and perception (Buzsaki and Draguhn, 2004; Freunberger et al.”
Translational principles of deep brain stimulation (2007, background): “Owing to its non-invasive nature and high spatial and temporal resolution, MEG holds great promise for elucidating the whole-brain neural mechanisms that are affected by DBS by, for example, measuring the oscillatory communication between brain region”
Higher order interactions in complex networks of phase oscillators promote abrupt synchronization switching (2019, background): “Taking inspiration from the importance of simplicial complexes in the brain, which displays rich synchronization dynamics [25], we consider as a motivating example the dynamics of equation (1) on the Macaque brain dataset which consists of 242 interconnected regions of the brain [26].”
Investigating the electrophysiological basis of resting state networks using magnetoencephalography (2011, background): “The way in which separate areas synchronize to form networks is integral to information processing (1, 2).”
Consensus Statement on the classification of tremors. from the task force on tremor of the International Parkinson and Movement Disorder Society (2018, background): “It is important to note that the limbs and head, when unsupported, exhibit slight tremor, referred to as physiological tremor.(31) Physiological tremor is generally not visible or symptomatic unless it is enhanced by fatigue or anxiety, whereas pathological tremor is usually visible and persistent.”
Rapid Desynchronization of an Electrically Coupled Interneuron Network with Sparse Excitatory Synaptic Input (2010, positive): “In addition, abnormal synchronization and desynchronization of network oscillations of different frequencies have been associated with several neurological disorders, including epilepsy, schizophrenia, dementia and Parkinson’s disease (Schnitzler and Gross, 2005).”
Graph theory and networks in Biology. (2006, background): “Work on the link between structural network properties and dynamics is also described, with emphasis on synchronization and disease propagation.”
Measuring functional connectivity in MEG: A multivariate approach insensitive to linear source leakage (2012, background): “In this way it offers advantages over indirect techniques such as fMRI as it can bypass haemodynamics and probe phenomena such as neural oscillations which are thought to be a more direct manifestation of cortical connectivity (Schnitzler and Gross, 2005; Singer, 1999).”