Annual Review of Neuroscience· 2012Q1· Review
Mechanisms of Gamma Oscillations
- 2,942citations
- Q1SCImago
- 2012year
Short summary
Gamma oscillations emerge from the coordinated interaction of excitation and inhibition, primarily driven by perisomatic inhibition, and are modulated by slower rhythms.
AI-generated from the title and abstract; the full text is not read.
Key points
- Gamma rhythmogenesis is critically dependent on perisomatic inhibition.
- Gamma oscillations are short-lived, arising from coordinated excitation-inhibition interactions.
- Network frequency of gamma oscillations varies widely depending on the underlying mechanism.
- Gamma oscillation magnitude is modulated by slower rhythms, enabling cross-frequency coupling.
AI-generated from the title and abstract; the full text is not read.
Abstract
Gamma rhythms are commonly observed in many brain regions during both waking and sleep states, yet their functions and mechanisms remain a matter of debate. Here we review the cellular and synaptic mechanisms underlying gamma oscillations and outline empirical questions and controversial conceptual issues. Our main points are as follows: First, gamma-band rhythmogenesis is inextricably tied to perisomatic inhibition. Second, gamma oscillations are short-lived and typically emerge from the coordinated interaction of excitation and inhibition, which can be detected as local field potentials. Third, gamma rhythm typically concurs with irregular firing of single neurons, and the network frequency of gamma oscillations varies extensively depending on the underlying mechanism. To document gamma oscillations, efforts should be made to distinguish them from mere increases of gamma-band power and/or increased spiking activity. Fourth, the magnitude of gamma oscillation is modulated by slower rhythms. Such cross-frequency coupling may serve to couple active patches of cortical circuits. Because of their ubiquitous nature and strong correlation with the "operational modes" of local circuits, gamma oscillations continue to provide important clues about neuronal population dynamics in health and disease.
The authors' abstract, as published at the source. Annual Review of Neuroscience, 2012 · DOI ↗
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Field: Cognitive Neuroscience
Cognitive NeuroscienceNeuroscience