Neural correlates of high-gamma oscillations (60–200 Hz) in macaque local field potentials and their potential implications in electrocorticography

By Supratim Ray, Nathan E. Crone, Ernst Niebur, Piotr J. Franaszczuk, Steven S. Hsiao. Journal of Neuroscience, 2008

681 citations recorded by the source corpus.

Recent studies using electrocorticographic (ECoG) recordings in humans have shown that functional activation of cortex is associated with an increase in power in the high-gamma frequency range (∼60–200 Hz). Here we investigate the neural correlates of this high-gamma activity in local field potential (LFP). Single units and LFP were recorded with microelectrodes from the hand region of macaque secondary somatosensory cortex while vibrotactile stimuli of varying intensities were presented to the hand. We found that high-gamma power in the LFP was strongly correlated with the average firing rate recorded by the microelectrodes, both temporally and on a trial-by-trial basis. In comparison, the correlation between firing rate and low-gamma power (40–80 Hz) was much smaller. To explore the potential effects of neuronal firing on ECoG, we developed a model to estimate ECoG power generated by different firing patterns of the underlying cortical population and studied how ECoG power varies with changes in firing rate versus the degree of synchronous firing between neurons in the population. Both an increase in firing rate and neuronal synchrony increased high-gamma power in the simulated ECoG data. However, ECoG high-gamma activity was much more sensitive to increases in neuronal synchrony than firing rate.

Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience

View Paper: https://www.semanticscholar.org/paper/37e8b10e6048df427e1623e6a99dfab4eb67331a

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Citations in the corpus

Dynamics of Active Sensing and Perceptual Selection (2010, background): “[47]), as far as we can determine, this is an open question.”
“Roles for the pre-supplementary motor area and the right inferior frontal gyrus in stopping action: electrophysiological responses and functional and structural connectivity” (2011, background): “We note that high gamma band activity likely indicates local neuronal activity in each region (Conner et al., in press; Crone et al., 1998; Edwards et al., 2005; Logothetis et al., 2001; Miller et al., 2007a; Miller et al., 2007b; Ray et al., 2008; Scheeringa et al., 2011).”
Electrical and synaptic integration of glioma into neural circuits (2019, positive): “High gamma frequency (70–110 Hz) power, a measure that correlates with neuronal firing rate and local field potential 29 and that is elevated by cortical hyperexcitability 30 , was sampled over a 3-minute period while the subjects were in a resting state.”
High-frequency brain activity and muscle artifacts in MEG/EEG: a review and recommendations (2013, methodology): “When the knowledge obtained from iEEG is combined with extracellular microelectrode recordings in non-human species, such as macaques (Ray et al., 2008), where LFP and multi-unit activity (MUA) can be obtained simultaneously from across cortical lamina (for examples Maier et al., 2010; Xing et al.,…”
Different Origins of Gamma Rhythm and High-Gamma Activity in Macaque Visual Cortex (2011, methodology): “Further details about this method and its advantages over traditional methods such as Short Time Fourier Transform are discussed elsewhere [8,18].”
Power-Law Scaling in the Brain Surface Electric Potential (2009, background): “We suggest that what these manuscripts identify as broadband change, distinct from c oscillations, and what others have called ‘‘high-c’’ when referring to broad spectral increases [24,25,42,53], are primarily shifts in the noise-like process identified here, captured at frequencies above the range ”
Multiple task-demands flexibly optimize neural geometry in human ventral temporal cortex (2026, unknown): “For each electrode and category, we compared post-stimulus HGB power (0–500 ms) with baseline activity (–300 to –50 ms) using a two-sided Wilcoxon rank-sum test on every 5 ms time bin ( = 0.01).”
Human intracranial correlates of dynamic coding in auditory working memory (2026, unknown): “We also calculated the averaged HFA to compare the decoding results to the elevated HFA, which is a correlate of multiunit activity (Ray, Crone, Niebur, Franaszczuk, & Hsiao, 2008) .”
Dynamic Causal Tractography Analysis of Auditory Descriptive Naming: An Intracranial Study of 106 Patients (2025, unknown): “…modulations of high-gamma amplitude, an outstanding summary measure of neural activation due to its strong correlation with increased neural firing rates (Ray et al., 2008; Leszczyński et al., 2020), hemodynamic responses (Scheeringa et al., 2011), and glucose metabolism (Nishida et al., 2008).”
Naturalistic Audiovisual Illusions Reveal the Cortical Sites Involved in the Multisensory Processing of Speech (2025, unknown): “To compute the broadband high-frequency activity (HFA), which indexes local cortical activity (Crone et al. 1998; Ray et al. 2008; Leszczyński et al. 2020), we filtered the iEEG signal of each trial between 75 and 175 Hz in 10-Hz bands (4 th - order Butterworth filters), computed instantaneous…”
Intracranial EEG referencing for large-scale category-selective mapping in the human ventral occipito-temporal cortex (2025, unknown): “…spectrum (<30 Hz) but also high-frequency responses (40– 160 Hz, or broad-band gamma activity), which have become the primary center of interest for an increasing number of human intracranial recording studies over the last 15 years (e.g., Miller et al., 2007; Nir et al., 2007; Ray et al., 2008).”
The development of aperiodic neural activity in the human brain (2024, unknown): “Yet,”