Beta (∼16 Hz) frequency neural oscillations mediate auditory sensory gating in humans

Abstract

The brain's oscillatory activities in response to sensory input are likely signals representing different stages of sensory information processing. To understand these signals, it is critical to establish the specificity of the timing and frequency of oscillations associated with sensory and sensory-related cognitive processing. We used a simple paired auditory stimulus paradigm for sensory gating and sought to identify time- and frequency-specific oscillatory components contributing to sensory gating. Using a discrete wavelet decomposition technique we separated single-trial time-frequency components of evoked potentials elicited by the first of two stimuli. Regression analyses were then used to identify the components most relevant to the suppression of the second evoked potential response. The results suggested that beta oscillation indexed a neural process associated with the strength of sensory gating.

Reverse Translation of Clinical Electrophysiological Biomarkers in Behaving Rodents under Acute and Chronic NMDA Receptor Antagonism

“…We chose NMDA receptor blockade because of its well-characterized effects on human EEG (Hong et al, 2010) and extensive use in human research to model aspects of schizophrenia (Krystal et al, 1994;Malhotra et al, 1996;Rowland et al, 2005a). To further minimize methodological differences between human and rodent EEG, we used an auditory-evoked potential (AEP) paradigm and processed rodent EEG data using the wavelet-based signal processing we previously used in human studies (Hong et al, 2008a(Hong et al, , 2010. We analyzed evoked power by presenting both pre-and post-stimulus data instead of their ratio, in order to avoid assumptions as to whether pre-and post-stimulus oscillations interact.…”

Gamma and Delta Neural Oscillations and Association with Clinical Symptoms under Subanesthetic Ketamine

“…We used an eight-level discrete biorthogonal wavelet (bio5.5, Wavelet Toolbox; MathWorks Natick, MA) to separate evoked responses into eight details (D1-D8), which represent eight frequency bands. By simulation, we estimated the frequency band of each detail: D1-D3 corresponded to very fast gamma frequency activities 485 Hz; D4: 40-85 Hz; D5: 20-40 Hz; D6: 12-20 Hz; D7: 5-12 Hz; and D8: 1-5 Hz (more details of the methodology are described in Hong et al, 2008a).…”

“…Therefore, single-trial-based analysis, by means of extracting both stationary and nonstationary energy, may be advantageous. The theory and methodology of using DWT to decompose evoked potential data have been examined (Hong et al, 2008a). We used an eight-level discrete biorthogonal wavelet (bio5.5, Wavelet Toolbox; MathWorks Natick, MA) to separate evoked responses into eight details (D1-D8), which represent eight frequency bands.…”

“…We examined ketamine-induced oscillatory responses during auditory paired-click sensory gating in normal controls using a discrete wavelet method and compared these ketamineinduced oscillatory responses to those seen in schizophrenia patients (Hong et al, 2008b). The wavelet method was believed to be sensitive for extracting single-trial-based oscillatory activities (Hong et al, 2008a).…”

Electrophysiological Deficits in Schizophrenia: Models and Mechanisms

“…Cortico-hippocampal circuits have been found as key generators of the rhythm (Ehrlichman et al, 2009a). Beta oscillations are believed to be generated in overall cortical structures and are involved in sensory gating, attention, and long-term synchronization (Kopell et al, 2000, Gross et al, 2004, Hong et al, 2008a. Gamma oscillations have received special attention in the research of neuropsychiatric disorders due to their alleged role in sensory binding, selective attention, associative and perceptual learning, encoding and retrieval of memory traces (Singer, 1993, Bragin et al, 1995, Chrobak and Buzsaki, 1998, Miltner et al, 1999.…”