The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.
The Spiking Component of Oscillatory Extracellular Potentials in the Rat Hippocampus
Open accessAbstract
When monitoring neural activity using intracranial electrical recordings, researchers typically consider the signals to have two primary components: fast action potentials (APs) from neurons near the electrode, and the slower local field potential (LFP), thought to be dominated by postsynaptic currents integrated over a larger volume of tissue. In general, a decrease in signal power with increasing frequency is observed for most brain rhythms. The 100–200 Hz oscillations in the rat hippocampus, including “fast gamma” or “epsilon” oscillations and sharp wave-ripples (SPW-Rs), are one exception, showing an increase in power with frequency within this band. We have used detailed biophysical modeling to investigate the composition of extracellular potentials during fast oscillations in rat CA1. We find that postsynaptic currents exhibit a decreasing ability to generate large-amplitude oscillatory signals at high frequencies, whereas phase-modulated spiking shows the opposite trend. Our estimates indicate that APs and postsynaptic currents contribute similar proportions of the power contained in 140–200 Hz ripples, and the two combined generate a signal that closely resembles in vivo SPW-Rs. Much of the AP-generated signal originates from neurons further than 100 μm from the recording site, consistent with ripples appearing similarly strong regardless of whether or not they contain recognizable APs. Additionally, substantial power can be generated in the 90–150 Hz epsilon band by the APs of rhythmically firing pyramidal neurons. Thus, high-frequency LFPs may generally contain signatures of local cell assembly activation.
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Cites
Neuronal Oscillations in Cortical Networks
Buzsáki, G., & Draguhn, A. (2004) · Science · doi:10.1126/science.1099745 · Cited by 6,576
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Self-citationThe origin of extracellular fields and currents — EEG, ECoG, LFP and spikes
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Self-citationDriving fast-spiking cells induces gamma rhythm and controls sensory responses
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Large-scale recording of neuronal ensembles
Buzsáki, G. (2004) · Nature Neuroscience · doi:10.1038/nn1233 · Cited by 1,875
Self-citationWhittington, M. A., Traub, R. D., & Jefferys, J. G. R. (1995) · Nature · doi:10.1038/373612a0 · Cited by 1,613
Gamma (40-100 Hz) oscillation in the hippocampus of the behaving rat
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Brain-state- and cell-type-specific firing of hippocampal interneurons in vivo
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Cited by
Hippocampal sharp wave-ripple: A cognitive biomarker for episodic memory and planning
Buzsáki, G. (2015) · Hippocampus · doi:10.1002/hipo.22488 · Cited by 1,759
Self-citationInferring synaptic excitation/inhibition balance from field potentials
Gao, R., Peterson, E. J., & Voytek, B. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.06.078 · Cited by 991
Modelling and analysis of local field potentials for studying the function of cortical circuits
Einevoll, G. T., Kayser, C., Logothetis, N. K., & Panzeri, S. (2013) · Nature Reviews Neuroscience · doi:10.1038/nrn3599 · Cited by 857
Theta Phase Segregation of Input-Specific Gamma Patterns in Entorhinal-Hippocampal Networks
Schomburg, E. W., Fernández-Ruiz, A., Mizuseki, K., Berényi, A., Anastassiou, C. A., Koch, C., & Buzsáki, G. (2014) · Neuron · doi:10.1016/j.neuron.2014.08.051 · Cited by 465
Self-citationBezaire, M. J., Raikov, I., Burk, K., Vyas, D., & Soltesz, I. (2016) · eLife · doi:10.7554/elife.18566 · Cited by 198
Metadata
- Authors
- Schomburg, E. W., Anastassiou, C. A., Buzsáki, G., & Koch, C.
- Venue
- The Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 2012-08-22
- Volume
- 32
- Issue
- 34
- Pages
- 11798-11811
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- OpenAlex
- W2041959530
- Cited by
- 202
- References
- 19
- FWCI
- 9.52
- Type
- journal article
- Language
- en
- Open access
- hybrid
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