Oscillatory synchronization in large-scale cortical networks predicts perception.

By Joerg F. Hipp, Andreas K. Engel, Markus Siegel. Neuron, 2011

642 citations recorded by the source corpus.

Normal brain function requires the dynamic interaction of functionally specialized but widely distributed cortical regions. Long-range synchronization of oscillatory signals has been suggested to mediate these interactions within large-scale cortical networks, but direct evidence is sparse. Here we show that oscillatory synchronization is organized in such large-scale networks. We implemented an analysis approach that allows for imaging synchronized cortical networks and applied this technique to EEG recordings in humans. We identified two networks: beta-band synchronization (~20 Hz) in a fronto-parieto-occipital network and gamma-band synchronization (~80 Hz) in a centro-temporal network. Strong perceptual correlates support their functional relevance: the strength of synchronization within these networks predicted the subjects' perception of an ambiguous audiovisual stimulus as well as the integration of auditory and visual information. Our results provide evidence that oscillatory neuronal synchronization mediates neuronal communication within frequency-specific, large-scale cortical networks.

Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience

View Paper: https://www.semanticscholar.org/paper/97f4bc56e9926931e6a155560024438ae566e8ad

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Citations in the corpus

Graph analysis of the human connectome: Promise, progress, and pitfalls (2013, neutral): “We note however, that graph theory can be used to characterize data acquired using other modalities, such as EEG/MEG (Stam, 2004a; Bassett, et al., 2006b; Stam, et al., 2007b; Rubinov, Knock, et al., 2009; Brookes, et al., 2011; Hipp, et al., 2011; Kitzbichler, et al., 2011; Zalesky, Cocchi, et al.,”
Why fish do not feel pain (2016, background): “…(Gray and Singer, 1989; Engel et al., 1991; Engel and Singer, 2001; Salinas and Sejnowski, 2001; Fries et al., 2007; Hauck et al., 2007; Gregoriou et al., 2009; Fries, 2009; Hauck et al., 2009; Ploner et al., 2009; Hipp et al., 2011; Singer, 2011; Nikolic et al., 2013; Buzsaki and Schomburg, 2015).”
Frequency-dependent functional connectivity within resting-state networks: An atlas-based MEG beamformer solution (2012, positive): “Here we propose to use a source reconstruction approach that results in sharper 3-dimensional images of neuronal activity, known as beamforming, which has recently been used to map functional connectivity across the entire brain (Brookes et al., 2011a; Guggisberg et al., 2008; Hinkley et al., 2010; ”
High-frequency brain activity and muscle artifacts in MEG/EEG: a review and recommendations (2013, methodology): “A technique most popularly used in MEG research, but also useable in EEG (Hipp et al., 2011), is beamformerbased source localization, where sets of spatial filters are created for each voxel in a predefined source space.”
Attentional Stimulus Selection through Selective Synchronization between Monkey Visual Areas (2012, positive): “Long-range gamma-band coherence has also been studied with noninvasive recordings in human subjects (Schoffelen et al., 2005, 2011; Siegel et al., 2008; Hipp et al., 2011).”
Insects have the capacity for subjective experience (2016, background): “…(Gray and Singer, 1989; Engel et al., 1991; Engel and Singer, 2001; Salinas and Sejnowski, 2001; Fries et al., 2007; Hauck et al., 2007; Gregoriou et al., 2009; Fries, 2009; Hauck et al., 2009; Ploner et al., 2009; Hipp et al., 2011; Singer, 2011; Nikolic et al., 2013; Buzsaki and Schomburg, 2015).”
Experimental and theoretical approaches to conscious processing. (2011, background): “Review long-distance phase synchrony is consistently increased during conscious perception (Gaillard et al., 2009; Gross et al., 2004; see also Hipp et al., 2011).”
Estimating trial-wise modulation of functional connectivity using event-related fMRI (2026, unknown): “Distributed yet coordinated neural activity supports diverse cognitive functions, including perception, decision making, learning, and cognitive control (Cole et al., 2013; Hipp et al., 2011; van den Brink et al., 2022).”
Theta and alpha oscillations may underlie improved attention and working memory in musically trained children (2024, background): “Ageatonsetofmusicaltraining(years) 8.5 ± 1.9 4–11 Intensityofpracticeoverthelastyear(h/week) 9.7 ± 5. synchronized,becausemelodiesandfigureswerenotmeanttobeinte-grated into a unitary percept in order to avoid brain activity related to perceptual binding (Hipp et al., 2011).”