The functional role of cross-frequency coupling

By Ryan T. Canolty, Robert T. Knight. Trends in Cognitive Sciences, 2010

2,011 citations recorded by the source corpus.

Recent studies suggest that cross-frequency coupling (CFC) may serve a functional role in neuronal computation, communication, and learning. In particular, the strength of phase-amplitude CFC differs across brain areas in a task-relevant manner, changes quickly in response to sensory, motor, and cognitive events, and correlates with performance in learning tasks. Importantly, while high-frequency brain activity reflects local domains of cortical processing, low-frequency brain rhythms are dynamically entrained across distributed brain regions by both external sensory input and internal cognitive events. CFC may thus serve as a mechanism to transfer information from large-scale brain networks operating at behavioral timescales to the fast, local cortical processing required for effective computation and synaptic modification, thus integrating functional systems across multiple spatiotemporal scales.

Subfields: Cognitive Neuroscience

View Paper: https://www.semanticscholar.org/paper/764927973ac999d885dbca991e228ec18d7409fe

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In Cognitive Neuroscience

Citations in the corpus

Neural population coding: combining insights from microscopic and mass signals (2015, background): “…An important population coding principle emerging from the analysis of mass signals (both using MEG and EEG [92,94] or intracranial recordings [60,100,101]) is that of multiplexing of sensory information: different frequency bands of population activity each carry complementary information about…”
Parameterizing neural power spectra into periodic and aperiodic components (2020, background): “This may also be useful for analyses such as phase-amplitude coupling, which have provided a powerful means for probing the potential mechanisms of neural communication 4,41,42 .”
Mechanisms of Gamma Oscillations (2012, background): “The cross-frequency coupling of rhythms forms a multiscale timing mechanism (Buzsáki & Draguhn 2004, Jensen & Colgin 2007, Schroeder & Lakatos 2009, Canolty & Knight 2010, Fell & Axmacher 2011).”
Neural Cross-Frequency Coupling: Connecting Architectures, Mechanisms, and Functions. (2015, neutral): “PAC has been reported at many distinct frequency ranges and using various recording and computation techniques [5,34,35].”
A Tutorial Review of Functional Connectivity Analysis Methods and Their Interpretational Pitfalls (2016, methodology): “We will also not review methods that quantify phase-amplitude coupling as they are beyond the scope of this review and have been discussed extensively elsewhere (Canolty and Knight, 2010; Aru et al., 2015).”
Mechanisms Underlying Selective Neuronal Tracking of Attended Speech at a ‘Cocktail Party’ (2013, background): “Consequently, the combination of selective entrainment of lowfrequency oscillations coupled to high-gamma power/MUA (Canolty and Knight, 2010), is an ideal mechanism for segregating and boosting the neural responses to an attended stream, leading ultimately to its preferential—and perhaps even…”