Theta oscillations provide temporal windows for local circuit computation in the entorhinal-hippocampal loop

By Kenji Mizuseki, Anton M. Sirota, E. Pastalkova, György Buzsáki. 2009

713 citations recorded by the source corpus.

Summary Theta oscillations are believed to play an important role in the coordination of neuronal firing in the entorhinal (EC)-hippocampal system but the underlying mechanisms are not known. We simultaneously recorded from neurons in multiple regions of the EC-hippocampal loop and examined their temporal relationships. Theta coordinated synchronous spiking of EC neuronal populations predicted the timing of current sinks in target layers in the hippocampus. However, the temporal delays between population activities in successive anatomical stages were longer (typically by a half theta cycle) than expected from axon conduction velocities and passive synaptic integration of feed-forward excitatory inputs. We hypothesize that the temporal windows set by the theta cycles allow for local circuit interactions and thus a considerable degree of computational independence in subdivisions of the EC-hippocampal loop.

Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience

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Citations in the corpus

Telling cause from effect in deterministic linear dynamical systems (2015, methodology): “To do a comparison with Granger causality, we applied our framework to recordings from those regions using a publicly available dataset [16, 17].”
Neural syntax: cell assemblies, synapsembles and readers (2010, neutral): “Since a similar temporal dynamic is at play in the entorhinal cortex (Burgess et al., 2007; Chrobak and Buzsáki, 1998; Hasselmo et al., 2009; Mizuseki et al., 2009; Moser et al., 2008), prefrontal cortex, and other structures (Benchenane et al., 2010; Berke et al., 2004; DeCoteau et al., 2007;…”
The Theta-Gamma Neural Code (2013, positive): “, the entorhinal cortex and subiculum) (Hafting et al., 2008; Kim et al., 2012; Mizuseki et al., 2009) and in structures to which to which the hippocampus projects (e.”
Parameterizing neural power spectra into periodic and aperiodic components (2020, methodology): “Finally, as an example real data case, we used an example real data spectrum of LFP data from rat hippocampus, available from the openly available HC-2 database 54 , to which spectral parameterization and IRASA were applied (Extended Data Fig.”
Hippocampal sharp wave‐ripple: A cognitive biomarker for episodic memory and planning (2015, background): “Inhibition of glutamatergic excitation can contribute to cannabinoid-induced impairment of hippocampus-dependent memory (Robbe et al., 2006; Robbe and Buzs aki, 2009).”
Neurophysiological and Computational Principles of Cortical Rhythms in Cognition (2010, background): “There are multiple generators for field theta oscillations in the entorhinal cortex and hippocampus (522, 691, 695, 702).”
Large-scale, high-density (up to 512 channels) recording of local circuits in behaving animals. (2014, background): “The relevant unit is indicated by a red dot; 3) autocorrelogram and burstiness index determined as the ratio of spikes at 8-ms intervals divided by all spikes (Mizuseki et al. 2009); and 4) interspike interval (ISI) histogram (log scale).”
Open Peer Review (2016, background): “Uma boa prática é considerar em cada início de processo de avaliação, uma sondagem entre os autores e revisores sobre as possibilidades de revisão, a fim de saber quais eles mais se identificam, para assim ir desenhando o que mais se adéqua à revista.”
EEG and MEG: relevance to neuroscience. (2013, background): “…a ranges, are optimal tomodulate, or to gate, the transfer of information across specific populations, such as those of the hippocampal formation and associated cortical areas in the case of q (Mizuseki et al., 2009) and of thalamocortical systems in the case of a (Amzica and Lopes da Silva, 2011).”
Electroencephalography of response inhibition tasks: functional networks and cognitive contributions. (2013, background): “Other theories stress the relevance of theta for interregional communication via cross-frequency interactions (Jensen and Colgin, 2007; Mizuseki et al., 2009).”
REM Sleep Reorganizes Hippocampal Excitability (2012, neutral): “Analysis Methods REM and non-REM episodes were identified offline using the ratio of the power in theta band (5–11 Hz) to delta band (1–4 Hz) of LFP (Sirota et al., 2008; Mizuseki et al., 2009, 2011).”
Physiological properties and behavioral correlates of hippocampal granule cells and mossy cells (2017, positive): “, 2015), and, in turn, granule cells are strongly controlled by highly active layer II entorhinal neurons (Isomura et al., 2006; Mizuseki et al., 2009), a notion supported by their robust response to the DS2.”
Time-resolved parameterization of aperiodic and periodic brain activity (2022, unknown): “Study 3: Intracranial rodent data Local field potential (LFP) recordings and animal behaviour, originally published by Mizuseki et al. (2009), were collected from 2 Long-Evans rats (data retrieved from https://crcns.org).”