Temporal coupling of field potentials and action potentials in the neocortex

Watson, Brendon O.; Ding, Mingxin; Buzsáki, György

doi:10.1101/214650

Cited by 10 publications

(11 citation statements)

References 92 publications

(144 reference statements)

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“…LFP oscillations contribute to spatiotemporal coordination of neuronal activity, modulating the spiking probability according to the phase and frequency of the field oscillations (Watson et al, 2018). As we found (increased) spiking in PV-Cre/NR1f/f mice contaminating the LFP power > 30 Hz (Figs.…”

Section: Prefrontal Spike-lfp Entrainment During Baseline and After Ketamine Applicationsupporting

confidence: 59%

Network Asynchrony Underlying Increased Broadband Gamma Power

et al. 2021

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Synchronous activity of cortical inhibitory interneurons expressing parvalbumin (PV) underlies the expression of cortical gamma rhythms. Paradoxically, deficient PV inhibition is associated with increased broadband gamma power. Increased baseline broadband gamma is also a prominent characteristic in schizophrenia, and a hallmark of network alterations induced by N-methyl-D-aspartate receptor (NMDAR) antagonists such as ketamine. It has been questioned if enhanced broadband gamma power is a true rhythm, and if rhythmic PV inhibition is involved or not. It has been suggested that asynchronous and increased firing activities underlie broadband power increases spanning the gamma band. Using mice lacking NMDAR activity specifically in PV neurons to model deficient PV inhibition, we here show that local LFP (local field potential) oscillations and neuronal activity with decreased synchronicity generate increases in prefrontal broadband gamma power. Specifically, reduced spike time precision of both local PV interneurons and wide-spiking (WS) excitatory neurons contribute to increased firing rates, and spectral leakage of spiking activity (spike "contamination") affecting the broadband gamma band. Desynchronization was evident at multiple time scales, with reduced spike-LFP entrainment, reduced cross-frequency coupling, and fragmentation of brain states. While local application of S(+)-ketamine in wildtype mice triggered network desynchronization and increases in broadband gamma power, our investigations suggest that disparate mechanisms underlie increased power of broadband gamma caused by genetic alteration of PV interneurons, and ketamine-induced power increases in broadband gamma. Our studies, thus, confirm that broadband gamma increases can arise from asynchronous activities, and demonstrate that long-term deficiency of PV inhibition can be a contributor..

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Section: Prefrontal Spike-lfp Entrainment During Baseline and After Ketamine Applicationsupporting

confidence: 59%

Network Asynchrony Underlying Increased Broadband Gamma Power

et al. 2021

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“…Here, we recorded iEEG activity from widespread electrodes while delivering electrical stimulation at different locations, frequencies, and amplitudes as patients rested quietly. To assess the effect of stimulation on neuronal activity, we measured the amplitude of signals in the high-frequency-activity (HFA) range (30e100 Hz), which correlates with mean level of spiking activity of a local neuronal population [29,66,74,99].…”

Section: Resultsmentioning

confidence: 99%

“…To measure the effect of stimulation on mean neuronal firing rates, we extracted the high-frequency activity (HFA) signal from each iEEG recording, as prior studies found this signal to be a reliable measure of mean neuronal activity [66,74,99]. We measured HFA power in our data by calculating power spectra post-(100 to 600 ms after stimulation offset, defined as the last pulse of the stimulation trial) and pre-(À600 to À100 ms before stimulation onset) stimulation at 12 log-spaced frequencies between 30 and 100 Hz using multitapers, which provide better resolution at high frequencies [76].…”

Section: Spectral Power Analysismentioning

confidence: 99%

“…We then measured how different stimulation parameters correlated with the directional changes in neuronal activity that resulted from stimulation. Because we sought to understand the effects of stimulation on the mean activity across neuronal populations, we measured high-frequency broadband power (30e100 Hz), which provides an estimate of the mean rate of local neuronal spiking activity [66,99]. Our results provide a more comprehensive examination of the direct electrical stimulation parameter space than any prior human study.…”

Section: Introductionmentioning

confidence: 99%

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The effects of direct brain stimulation in humans depend on frequency, amplitude, and white-matter proximity

et al. 2020

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Background: Researchers have used direct electrical brain stimulation to treat a range of neurological and psychiatric disorders. However, for brain stimulation to be maximally effective, clinicians and researchers should optimize stimulation parameters according to desired outcomes. Objective: The goal of our large-scale study was to comprehensively evaluate the effects of stimulation at different parameters and locations on neuronal activity across the human brain. Methods: To examine how different kinds of stimulation affect human brain activity, we compared the changes in neuronal activity that resulted from stimulation at a range of frequencies, amplitudes, and locations with direct human brain recordings. We recorded human brain activity directly with electrodes that were implanted in widespread regions across 106 neurosurgical epilepsy patients while systematically stimulating across a range of parameters and locations. Results: Overall, stimulation most often had an inhibitory effect on neuronal activity, consistent with earlier work. When stimulation excited neuronal activity, it most often occurred from high-frequency stimulation. These effects were modulated by the location of the stimulating electrode, with stimulation sites near white matter more likely to cause excitation and sites near gray matter more likely to inhibit neuronal activity. Conclusion: By characterizing how different stimulation parameters produced specific neuronal activity patterns on a large scale, our results provide an electrophysiological framework that clinicians and researchers may consider when designing stimulation protocols to cause precisely targeted changes in human brain activity.

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“…On average, 2.8 sites were studied per patient. To measure the effects of stimulation on mean neuronal firing rates, the high-frequency activity (HFA) signal, a reliable measure of mean neuronal activity, 7 was extracted from each recording site. A linear mixed-effects model, a type of regression model that relates the variation of a dependent variable as a function of fixed and random effects, was used to analyze the effects of stimulation on neuronal activity and identify how these effects vary with different stimulation parameters.…”

Section: Commentarymentioning

confidence: 99%