Induced electrocorticographic gamma activity during auditory perception

Crone, Nathan E.; Boatman, Dana; Gordon, Barry; Liang, Hao

doi:10.1016/s1388-2457(00)00545-9

Cited by 470 publications

(458 citation statements)

References 82 publications

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“…At the interface between normally innervated and deafferented thalamocortical circuits, abnormal gamma activity is proposed to be maximal (Llinás et al, 2005). Thus the perceptual experience of TI is proposed to be linked to an increase in this gamma-band oscillatory activity which corresponds to the normal brain rhythm when an external sound is presented (Joliot et al, 1994;Crone et al, 2001). Llinas et al (2005) speculate that TI is not the result of increased spontaneous activity per se.…”

Section: Human Neuroimaging Studiesmentioning

confidence: 99%

The mechanisms of tinnitus: Perspectives from human functional neuroimaging

2009

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In this review, we highlight the contribution of advances in human neuroimaging to the current understanding of central mechanisms underpinning tinnitus and explain how interpretations of neuroimaging data have been guided by animal models. The primary motivation for studying the neural subtrates of tinnitus in humans has been to demonstrate objectively its representation in the central auditory system and to develop a better understanding of its diverse pathophysiology and of the functional interplay between sensory, cognitive and affective systems. The ultimate goal of neuroimaging is to identify subtypes of tinnitus in order to better inform treatment strategies. The three neural mechanisms considered in this review may provide a basis for TI classification. While human neuroimaging evidence strongly implicates the central auditory system and emotional centres in TI, evidence for the precise contribution from the three mechanisms is unclear because the data are somewhat inconsistent. We consider a number of methodological issues limiting the field of human neuroimaging and recommend approaches to overcome potential inconsistency in results arising from poorly matched participants, lack of appropriate controls and low statistical power. AbstractIn this review, we highlight the contribution of advances in human neuroimaging to the current understanding of central mechanisms underpinning tinnitus and explain how interpretations of neuroimaging data have been guided by animal models. The primary motivation for studying the neural subtrates of tinnitus in humans has been to demonstrate objectively its representation in the central auditory system and to develop a better understanding of its diverse pathophysiology and of the functional interplay between sensory, cognitive and affective systems. The ultimate goal of neuroimaging is to identify subtypes of tinnitus in order to better inform treatment strategies. The three neural mechanisms considered in this review may provide a basis for TI classification. While human neuroimaging evidence strongly implicates the central auditory system and emotional centres in TI, evidence for the precise contribution from the three mechanisms is unclear because the data are somewhat inconsistent. We consider a number of methodological issues limiting the field of human neuroimaging and recommend approaches to overcome potential inconsistency in results arising from poorly matched participants, lack of appropriate controls and low statistical power.

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Section: Human Neuroimaging Studiesmentioning

confidence: 99%

The mechanisms of tinnitus: Perspectives from human functional neuroimaging

2009

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“…Nevertheless, the proximity of the subdural reference electrode to the recording array made it necessary to remontage ECoG signals to a reference-independent derivation prior to further analyses. The common average reference was used as the best compromise between competing concerns regarding the spatial representation of ECoG power spectra (Crone et al, 2001a; see below for further discussion).…”

Section: Ecog Data Acquisitionmentioning

confidence: 99%

“…These non-phase-locked responses in "high-gamma" frequencies, typically greater than 60 Hz and extending as high as 200 Hz, have been observed during functional activation in a variety of cortical domains, including sensorimotor (Crone et al, 1998a;Ohara et al, 2000;Pfurtscheller et al, 2003;Leuthardt et al, 2004), oculomotor (Lachaux et. al., 2006), auditory (Crone et al, 2001a;Ray et al, 2003;Edwards et al, 2005), visual (Crone et al, 2001b;Lachaux et al, 2005;Tanji et al, 2005), and language (Crone et al, 2001b;Sinai et al, 2005) cortices. However, their correlation with selective attention has not yet been unequivocally established.…”

Section: Introductionmentioning

confidence: 99%

High-frequency gamma activity (80–150Hz) is increased in human cortex during selective attention

Ray

Niebur

Hsiao

et al. 2008

Clinical Neurophysiology

214

163

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Objective: To study the role of gamma oscillations (>30 Hz) in selective attention using subdural electrocorticography (ECoG) in humans. Methods:We recorded ECoG in human subjects implanted with subdural electrodes for epilepsy surgery. Sequences of auditory tones and tactile vibrations of 800 ms duration were presented asynchronously, and subjects were asked to selectively attend to one of the two stimulus modalities in order to detect an amplitude increase at 400 ms in some of the stimuli.Results: Event-related ECoG gamma activity was greater over auditory cortex when subjects attended auditory stimuli and was greater over somatosensory cortex when subjects attended vibrotactile stimuli. Furthermore, gamma activity was also observed over prefrontal cortex when stimuli appeared in either modality, but only when they were attended. Attentional modulation of gamma power began ∼400 ms after stimulus onset, consistent with the temporal demands on attention. The increase in gamma activity was greatest at frequencies between 80 and 150 Hz, in the so-called high gamma frequency range.Conclusions: There appears to be a strong link between activity in the high-gamma range (80-150 Hz) and selective attention.Significance: Selective attention is correlated with increased activity in a frequency range that is significantly higher than what has been reported previously using EEG recordings.

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“…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)(20)(21), transient neuronal assembly formation (22), and information transmission and storage (23)(24)(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).…”

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.

745

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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Induced electrocorticographic gamma activity during auditory perception

Cited by 470 publications

References 82 publications

The mechanisms of tinnitus: Perspectives from human functional neuroimaging

The mechanisms of tinnitus: Perspectives from human functional neuroimaging

High-frequency gamma activity (80–150Hz) is increased in human cortex during selective attention

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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