Stimulus-specific oscillatory responses of the brain: a time/frequency-related coding process

Sannita, Walter G.

doi:10.1016/s1388-2457(99)00271-0

Cited by 72 publications

(47 citation statements)

References 192 publications

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“…The sensory cortex exhibits a remarkable ability to faithfully respond to modality-specific stimulus trains (Sannita, 2000). Such entrainment of auditory cortical neurons can be recorded by noninvasive methods such as electroencephalography (EEG) and is termed auditory steady-state response (ASSR).…”

Section: Introductionmentioning

confidence: 99%

40 Hz Auditory Steady-State Response Is a Pharmacodynamic Biomarker for Cortical NMDA Receptors

Sivarao

Chen

Senapati

et al. 2016

Neuropsychopharmacol

101

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Schizophrenia patients exhibit dysfunctional gamma oscillations in response to simple auditory stimuli or more complex cognitive tasks, a phenomenon explained by reduced NMDA transmission within inhibitory/excitatory cortical networks. Indeed, a simple steady-state auditory click stimulation paradigm at gamma frequency (~40 Hz) has been reproducibly shown to reduce entrainment as measured by electroencephalography (EEG) in patients. However, some investigators have reported increased phase locking factor (PLF) and power in response to 40 Hz auditory stimulus in patients. Interestingly, preclinical literature also reflects this contradiction. We investigated whether a graded deficiency in NMDA transmission can account for such disparate findings by administering subanesthetic ketamine (1-30 mg/kg, i.v.) or vehicle to conscious rats (n = 12) and testing their EEG entrainment to 40 Hz click stimuli at various time points (~7-62 min after treatment). In separate cohorts, we examined in vivo NMDA channel occupancy and tissue exposure to contextualize ketamine effects. We report a robust inverse relationship between PLF and NMDA occupancy 7 min after dosing. Moreover, ketamine could produce inhibition or disinhibition of the 40 Hz response in a temporally dynamic manner. These results provide for the first time empirical data to understand how cortical NMDA transmission deficit may lead to opposite modulation of the auditory steady-state response (ASSR). Importantly, our findings posit that 40 Hz ASSR is a pharmacodynamic biomarker for cortical NMDA function that is also robustly translatable. Besides schizophrenia, such a functional biomarker may be of value to neuropsychiatric disorders like bipolar and autism spectrum where 40 Hz ASSR deficits have been documented.

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Section: Introductionmentioning

confidence: 99%

40 Hz Auditory Steady-State Response Is a Pharmacodynamic Biomarker for Cortical NMDA Receptors

Sivarao

Chen

Senapati

et al. 2016

Neuropsychopharmacol

101

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“…Mass oscillatory responses in the gamma interval are recorded in vivo in animals and humans in response to suitable visual stimulation, with the oscillatory response occurring earlier than the postsynaptic, low-frequency components and contributing to their generation. In the visual system, gamma activity reflects the global properties of the stimulus, with amplitude tuning at ∼5.0 c/deg consistent with the contrast function of the mammalian visual system, and it is thought to allow the required spatiotemporal accuracy for the activation of a cortical neuronal functional assembly (or assemblies) in response to sensory inputs or to mediate other time-related brain processes [36,40,41,46,47,[98][99][100][101][102][103].…”

Section: Function-related Neuronal Oscillations In Cortical Networkmentioning

confidence: 95%

“…For instance, modulation of synchronicity of responses in V 1 cortex is complementary to changes in spiking rate in the enhancement of saliency of neuronal responses [33]; as an other example, hippocampal neuronal assemblies independently code for spatial and episodic memory [34]. Gamma band (∼20-80 Hz) oscillations intrinsic to the resting neuron membrane and enhanced by synaptic interaction and network mechanisms are the suggested property of inhibitory interneuron mediation of code interaction [31,[34][35][36][37][38][39][40][41][42][43][44][45]; see [46,47] for reference.…”

Section: Neural Codes and Code Interplaymentioning

confidence: 99%

“…Underlying hyperpolarizing GABA A potentials have been documented in hippocampal neuron cultures, where synchronization was lost and oscillations suppressed after receptor blockade. The frequency of oscillation is determined to a relevant extent by the cell and circuit properties [85][86][87][88][91][92][93][94][95][96][97][98][99][100]; see also [46,47] for reference. Mass oscillatory responses in the gamma interval are recorded in vivo in animals and humans in response to suitable visual stimulation, with the oscillatory response occurring earlier than the postsynaptic, low-frequency components and contributing to their generation.…”

Section: Function-related Neuronal Oscillations In Cortical Networkmentioning

confidence: 99%

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Neuronal Functional Diversity and Collective Behaviors

Sannita

2008

J Biol Phys

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A major question in today's neuroscience is how the brain's complex operations and organization emerge from individual components. The robustness of neuronal properties with flexible linkages between regulatory processes conceivably accounts for the adaptive, tunable, multistable dynamics; the coding schemes; and the complexity of neuronal functional (sub)systems. Interneurons and neurotransmitter diversity, resonance phenomena due to properties of the cell, time/frequency-dependent activation of dedicated neuronal assemblies, and code-and frequency-specific oscillations interact in determining the brain functional setup and operations. Such an arrangement would also provide the functional requirements for access to neural mechanisms, dedicated neuronal circuitry and the proper timing allowing for the selective differentiation among cortical neurons due to performing in different tasks. No comprehensive theory or systematic methodological approach appears yet conceivable. The scenario, however incomplete and incompletely characterized, is nevertheless promising and warrants further investigation.

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“…A growing amount of literature shows the explanatory value of these slow-wave events (Sayers et al, 1974;Başar, 1980Başar, , 1998Başar, , 1999Mountcastle, 1992;Karakaş and Başar, 1998;Sannita, 2000;Rangaswamy et al, 2002Rangaswamy et al, , 2004Porjesz et al, 2002;Kamarajan et al, 2004):…”

Section: Conclusion: Comparison Of Methods Of Frequency Analysismentioning

confidence: 99%

Time–frequency component analyser and its application to brain oscillatory activity

Özdemir

Karakaş

Çakmak

et al. 2005

Journal of Neuroscience Methods

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Currently, event-related potential (ERP) signals are analysed in the time domain (ERP technique) or in the frequency domain (Fourier analysis and variants). In techniques of time-domain and frequency-domain analysis (short-time Fourier transform, wavelet transform) assumptions concerning linearity, stationarity, and templates are made about the brain signals. In the time-frequency component analyser (TFCA), the assumption is that the signal has one or more components with non-overlapping supports in the time-frequency plane. In this study, the TFCA technique was applied to ERPs. TFCA determined and extracted the oscillatory components from the signal and, simultaneously, localized them in the time-frequency plane with high resolution and negligible cross-term contamination. The results obtained by means of TFCA were compared with those obtained by means of other commonly used techniques of ERP analysis, such as bilinear time-frequency distributions and wavelet analysis. It is suggested that TFCA may serve as an appropriate tool for capturing the localized ERP components in the time-frequency domain and for studying the intricate, frequency-based dynamics of the human brain.

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Stimulus-specific oscillatory responses of the brain: a time/frequency-related coding process

Cited by 72 publications

References 192 publications

40 Hz Auditory Steady-State Response Is a Pharmacodynamic Biomarker for Cortical NMDA Receptors

40 Hz Auditory Steady-State Response Is a Pharmacodynamic Biomarker for Cortical NMDA Receptors

Neuronal Functional Diversity and Collective Behaviors

Time–frequency component analyser and its application to brain oscillatory activity

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