The many faces of the gamma band response to complex visual stimuli

Lachaux, Jean-Philippe; George, Nathalie; Tallon‐Baudry, Catherine; Martinerie, Jacques; Hugueville, Laurent; Minotti, Lorella; Kahane, Philippe; Renault, Bernard

doi:10.1016/j.neuroimage.2004.11.052

Cited by 312 publications

(286 citation statements)

References 28 publications

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“…Previous reports on stimulus-locked spectral responses often used rather simple stimulus configurations like geometrical shapes (Busch et al 2004;Fründ et al 2007b) or gratings (Bodis-Wollner et al 2001;Busch et al 2006b;Fründ et al 2007a;Schadow et al 2007) and observed response frequencies between 30 and \90 Hz. Other studies that applied more complex stimuli (Busch et al 2006a;Gruber and Müller 2005;Lachaux et al 2005;Tallon-Baudry et al 1997;Vidal et al 2006) either did not observe stimulus-locked c responses at all, or did not find these responses to be modulated by experimental manipulations. Our results are in line with these findings in that we did not find any stimulus-locked c responses at all.…”

Section: Spectral Responses At High Frequenciesmentioning

confidence: 88%

“…In such a case, it is assumed that feedback from the locus of the match to earlier stages of visual processing results in activity reverberating within the visual system. Current findings suggest that such reverberating activity can be measured from the scalp (Herrmann et al 2004a; Morup et al 2006) as stimulus-locked, so called evoked c responses (usually %30À90 Hz at a latency around %90 msÞ: Several authors also reported later amplitude modulations of high frequency brain activity (TallonBaudry et al 1996(TallonBaudry et al , 1998Lachaux et al 2005;Gruber et al 2002;Gruber and Müller 2005;Keil et al 2001;Busch et al 2006a;Hoogenboom et al 2006;Sederberg et al 2003). These later, so called induced c responses have been interpreted as being related to later stages of perceptual processing (Herrmann et al 2004b) in which more abstract, high level object representations are available (Tallon-Baudry and Bertrand 1999).…”

Section: Introductionmentioning

confidence: 97%

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Anticipation of natural stimuli modulates EEG dynamics: physiology and simulation

Fründ

Schadow

Busch

et al. 2008

Cognitive Neurodynamics

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In everyday life we often encounter situations in which we can expect a visual stimulus before we actually see it. Here, we study the impact of such stimulus anticipation on the actual response to a visual stimulus. Participants were to indicate the sex of deer and cattle on photographs of the respective animals. On some trials, participants were cued on the species of the upcoming animal whereas on other trials this was not the case. Time frequency analysis of the simultaneously recorded EEG revealed modulations by this cue stimulus in two time windows. Early ð%100 msÞ spectral responses ð%20 HzÞ displayed strongest stimulus-locking for stimuli that were preceded by a cue if they were sufficiently large. Late ð%300 ms; 40 HzÞ responses displayed enhanced amplitudes in response to large stimuli and to stimuli that were preceded by a cue. For late responses, however, no interaction between cue and stimulus size was observed. We were able to explain these results in a simulation by prestimulus gain modulations (early response) and by decreased response thresholds (late response). Thus, it seems plausible, that stimulus anticipation results in a pretuning of local neural populations.

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Section: Spectral Responses At High Frequenciesmentioning

confidence: 88%

Section: Introductionmentioning

confidence: 97%

Anticipation of natural stimuli modulates EEG dynamics: physiology and simulation

Fründ

Schadow

Busch

et al. 2008

Cognitive Neurodynamics

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“…The functional significance of cortical gamma band activity speaks to several important issues: including its ability to coordinate communication among neural populations, for example, those involved in attending to a particular stimulus [Fries, 2009], binding input features to cortical representations [Buzsáki and Chrobak, 1995; Gray et al, 1989] and mediating information transfer [Lachaux et al, 2005; Tallon‐Baudry et al, 1996]. In particular, gamma activity has on the one hand been used to characterize functional connectivity in cortical networks, for example, [Cabral et al, 2011] and on the other to study aberrant dynamics associated with potential pathophysiology.…”

Section: Introductionmentioning

confidence: 99%

Intersubject variability and induced gamma in the visual cortex: DCM with empirical Bayes and neural fields

Pinotsis

Perry

Singh

et al. 2016

Human Brain Mapping

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This article describes the first application of a generic (empirical) Bayesian analysis of between‐subject effects in the dynamic causal modeling (DCM) of electrophysiological (MEG) data. It shows that (i) non‐invasive (MEG) data can be used to characterize subject‐specific differences in cortical microcircuitry and (ii) presents a validation of DCM with neural fields that exploits intersubject variability in gamma oscillations. We find that intersubject variability in visually induced gamma responses reflects changes in the excitation‐inhibition balance in a canonical cortical circuit. Crucially, this variability can be explained by subject‐specific differences in intrinsic connections to and from inhibitory interneurons that form a pyramidal‐interneuron gamma network. Our approach uses Bayesian model reduction to evaluate the evidence for (large sets of) nested models—and optimize the corresponding connectivity estimates at the within and between‐subject level. We also consider Bayesian cross‐validation to obtain predictive estimates for gamma‐response phenotypes, using a leave‐one‐out procedure. Hum Brain Mapp 37:4597–4614, 2016. © The Authors Human Brain Mapping Published by Wiley Periodicals, Inc.

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“…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

216

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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The many faces of the gamma band response to complex visual stimuli

Cited by 312 publications

References 28 publications

Anticipation of natural stimuli modulates EEG dynamics: physiology and simulation

Anticipation of natural stimuli modulates EEG dynamics: physiology and simulation

Intersubject variability and induced gamma in the visual cortex: DCM with empirical Bayes and neural fields

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

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