Cross-frequency coupling between neuronal oscillations

Jensen, Ole; Colgin, Laura Lee

doi:10.1016/j.tics.2007.05.003

Cited by 843 publications

(765 citation statements)

References 17 publications

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“…In all mammals examined, including humans, gamma oscillations are modulated by concurrent theta rhythm (6)(7)(8)(9)(10)50). This thetagamma coupling may serve as a general coding scheme that coordinates distributed cortical areas, encodes serial information and working memory, and aids theta phase precession of place cells (5,(10)(11)(12)(13)(14)21). Empirical evidence supports such proposals by showing higher levels of theta-gamma coupling during cognitive demands (10,14).…”

Section: Discussionmentioning

confidence: 92%

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Hippocampal theta rhythm and its coupling with gamma oscillations require fast inhibition onto parvalbumin-positive interneurons

Wulff

Ponomarenko²,

Bartos

et al. 2009

Proc. Natl. Acad. Sci. U.S.A.

354

315

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Hippocampal theta (5-10 Hz) and gamma (35-85 Hz) oscillations depend on an inhibitory network of GABAergic interneurons. However, the lack of methods for direct and cell-type-specific interference with inhibition has prevented better insights that help link synaptic and cellular properties with network function. Here, we generated genetically modified mice (PV-⌬␥ 2) in which synaptic inhibition was ablated in parvalbumin-positive (PV؉) interneurons. Hippocampal local field potential and unit recordings in the CA1 area of freely behaving mice revealed that theta rhythm was strongly reduced in these mice. The characteristic coupling of theta and gamma oscillations was strongly altered in PV-⌬␥ 2 mice more than could be accounted for by the reduction in theta rhythm only. Surprisingly, gamma oscillations were not altered. These data indicate that synaptic inhibition onto PV؉ interneurons is indispensable for theta-and its coupling to gamma oscillations but not for rhythmic gammaactivity in the hippocampus. Similar alterations in rhythmic activity were obtained in a computational hippocampal network model mimicking the genetic modification, suggesting that intrahippocampal networks might contribute to these effects.compartmental model ͉ GABA ͉ GABAA receptor ͉ knockout ͉ network synchrony

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Section: Discussionmentioning

confidence: 92%

“…Action potential firing by individual neurons is certainly central but might not be sufficient. Oscillations of the extracellular field potential may provide temporal reference signals that allow efficient information processing by spiking neurons (1)(2)(3)(4)(5). Multiple layers of information could be encoded if the different rhythms interact.…”

mentioning

confidence: 99%

Hippocampal theta rhythm and its coupling with gamma oscillations require fast inhibition onto parvalbumin-positive interneurons

Wulff

Ponomarenko²,

Bartos

et al. 2009

Proc. Natl. Acad. Sci. U.S.A.

354

315

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“…Intrinsic coupling modes (ICMs) in ongoing activity are thought to reflect the action of two different coupling mechanisms (Engel et al, 2001): one that arises from phase coupling of band-limited oscillatory signals, and another one that results from coupled aperiodic fluctuations of signal envelopes. When studying ICMs, apart from exploring the relationship between same frequency signals, it is highly interesting to also quantify functional relationships between signals of different frequencies (Jensen and Colgin, 2007;Palva and Palva, 2011;Jirsa and Muller, 2013;Dimitriadis et al, 2015cDimitriadis et al, ,d,2016, as this cross-frequency coupling (CFC) has been hypothesized to represent the mechanism of interaction between local and global processes and therefore it is directly related to the integration of distributed information.…”

Section: Introductionmentioning

confidence: 99%

“…Recently, different forms of cross-frequency interactions were described (Jensen and Colgin, 2007), namely power-to-power, phase-to-phase, phase-tofrequency, and phase-to-power. There is ample evidence that the last type of CFC, also called phase-amplitude modulation, occurs very often in both animals and humans in the prefrontal cortices, the hippocampus, and other distributed cortical areas (Osipova et al, 2008;Tort et al, 2008Tort et al, , 2009Tort et al, , 2010Cohen et al, 2009a, b;Colgin et al, 2009;Axmacher et al, 2010a, b;Voytek et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

Altered cross-frequency coupling in resting-state MEG after mild traumatic brain injury

Antonakakis

Dimitriadis

Zervakis

et al. 2016

International Journal of Psychophysiology

122

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Cross-frequency coupling (CFC) is thought to represent a basic mechanism of functional integration of neural networks across distant brain regions. In this study, we analyzed CFC profiles from resting state Magnetoencephalographic (MEG) recordings obtained from 30 mild traumatic brain injury (mTBI) patients and 50 controls. We used mutual information (MI) to quantify the phase-to-amplitude coupling (PAC) of activity among the recording sensors in six nonoverlapping frequency bands. After forming the CFC-based functional connectivity graphs, we employed a tensor representation and tensor subspace analysis to identify the optimal set of features for subject classification as mTBI or control. Our results showed that controls formed a dense network of stronger local and global connections indicating higher functional integration compared to mTBI patients.Furthermore, mTBI patients could be separated from controls with more than 90% classification accuracy. These findings indicate that analysis of brain networks computed from resting-state MEG with PAC and tensorial representation of connectivity profiles may provide a valuable biomarker for the diagnosis of mTBI.

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“…In one type of interaction, the phase of low-frequency rhythms modulates the amplitude of higher-frequency oscillations (9,10,30). For example, theta phase is known to modulate gamma power in rodent hippocampal and cortical circuits (2)(3)(4)31), and the phase of theta rhythms recorded in the human neocortex can modulate wide-band (60-200 Hz) high-frequency oscillations (10).…”

mentioning

confidence: 99%

Dynamic cross-frequency couplings of local field potential oscillations in rat striatum and hippocampus during performance of a T-maze task

Tort

Kramer

Thorn

et al. 2008

Proc. Natl. Acad. Sci. U.S.A.

728

770

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Oscillatory rhythms in different frequency ranges mark different behavioral states and are thought to provide distinct temporal windows that coherently bind cooperating neuronal assemblies. However, the rhythms in different bands can also interact with each other, suggesting the possibility of higher-order representations of brain states by such rhythmic activity. To explore this possibility, we analyzed local field potential oscillations recorded simultaneously from the striatum and the hippocampus. As rats performed a task requiring active navigation and decision making, the amplitudes of multiple high-frequency oscillations were dynamically modulated in task-dependent patterns by the phase of cooccurring theta-band oscillations both within and across these structures, particularly during decision-making behavioral epochs. Moreover, the modulation patterns uncovered distinctions among both high-and low-frequency subbands. Cross-frequency coupling of multiple neuronal rhythms could be a general mechanism used by the brain to perform networklevel dynamical computations underlying voluntary behavior.amplitude modulation ͉ gamma ͉ theta O scillations in neural population voltage activity are universal phenomena (1). Among brain rhythms, theta oscillations in local field potentials (LFPs) recorded in the hippocampus are prominent during active behaviors (2-5), and these have long been intensively analyzed in the rodent in relation to spatial navigation (6), memory (7), and sleep (8). Theta-band rhythms (4-12 Hz) are now known to occur in other cortical (9-12) and subcortical (12-15) regions, however, including the striatum (14-17), studied here. Gamma oscillations (30-100 Hz) have also received special attention because of their proposed role in functions such as sensory binding (18), selective attention (19-21), transient neuronal assembly formation (22), and information transmission and storage (23-25). The existence of physiologically meaningful neocortical oscillations at even higher frequencies, above the traditional gamma range, has been reported as well (10,(26)(27)(28). In rodents, for example, brief sharp-wave associated ripples (120-200 Hz) appear in the hippocampal formation during slow wave sleep, immobility and consummatory behavior, characteristically in the absence of theta waves (2, 29).The oscillatory activities conventionally assigned to different frequency bands are not completely independent (2-4, 9, 10, 30). In one type of interaction, the phase of low-frequency rhythms modulates the amplitude of higher-frequency oscillations (9, 10, 30). For example, theta phase is known to modulate gamma power in rodent hippocampal and cortical circuits (2-4, 31), and the phase of theta rhythms recorded in the human neocortex can modulate wide-band (60-200 Hz) high-frequency oscillations (10). Such theta-gamma nesting is thought to play a role in sequential memory organization and maintenance of working memory, and more generally in ''phase coding' ' (25, 31). Based on evidence suggesting that theta rhythms i...

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Cross-frequency coupling between neuronal oscillations

Cited by 843 publications

References 17 publications

Hippocampal theta rhythm and its coupling with gamma oscillations require fast inhibition onto parvalbumin-positive interneurons

Hippocampal theta rhythm and its coupling with gamma oscillations require fast inhibition onto parvalbumin-positive interneurons

Altered cross-frequency coupling in resting-state MEG after mild traumatic brain injury

Dynamic cross-frequency couplings of local field potential oscillations in rat striatum and hippocampus during performance of a T-maze task

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