Neuronal sources of theta rhythm in the entorhinal cortex of the rat

Alonso, Ángel; García-Austt, E.

doi:10.1007/bf00247282

Cited by 161 publications

(96 citation statements)

References 40 publications

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“…The subthreshold oscillations involve oscillations in the magnitude of cross-membrane currents that would appear as oscillations in the field potential and oscillatory changes in current sources and sinks in current source density analysis. The subthreshold oscillations would have a range of different phases and frequencies, but across the population the oscillations could have sufficient coherence to contribute to theta rhythm oscillations in the entorhinal cortex (Mitchell and Ranck, 1980;Mitchell et al, 1982;Alonso and Garcia-Austt, 1987a;Alonso and Garcia-Austt, 1987b) and in subregions of the hippocampal formation (Buzsaki et al, 1983;Brankack et al, 1993;Hasselmo, 2005). In particular, the model shows that consistency of network oscillations does not interfere with the computation of individual neurons.…”

Section: Dendritic Oscillations and Theta Rhythm Field Potential Oscimentioning

confidence: 94%

Grid cell firing may arise from interference of theta frequency membrane potential oscillations in single neurons

2007

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Intracellular recording and computational modelling suggest that interactions of subthreshold membrane potential oscillation frequency in different dendritic branches of entorhinal cortex stellate cells could underlie the functional coding of continuous dimensions of space and time. Among other things, these interactions could underlie properties of grid cell field spacing. The relationship between experimental data on membrane potential oscillation frequency (f) and grid cell field spacing (G) indicates a constant scaling factor H=fG. This constant scaling factor between temporal oscillation frequency and spatial periodicity provides a starting constraint that is used to derive the model of Burgess, Barry and O'Keefe (Hippocampus, in press). This model provides a consistent quantitative link between single cell physiological properties and properties of spiking units in awake behaving animals. Further properties and predictions of this model about single cell and network physiological properties are analyzed. In particular, the model makes quantitative predictions about the change in membrane potential, single cell oscillation frequency and network oscillation frequency associated with speed of movement, about the independence of single cell properties from network theta rhythm oscillations, and about the effect of variations in initial oscillatory phase on the pattern of grid cell firing fields. These same mechanisms of subthreshold oscillations may play a more general role in memory function, by providing a method for learning arbitrary time intervals in memory sequences.

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Section: Dendritic Oscillations and Theta Rhythm Field Potential Oscimentioning

confidence: 94%

Grid cell firing may arise from interference of theta frequency membrane potential oscillations in single neurons

2007

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“…This latter oscillator is atropine-resistant, but is abolished by urethane anesthesia and lesions of the entorhinal cortex and originates mainly in layers 2/3 of the entorhinal cortex Ylinen et al, 1995b;Kamondi et al, 1998). In support of this hypothesis, many layer 2/3 cells of the entorhinal cortex are phase-locked to the hippocampal theta (Alonso and Garcia-Austt, 1987b;Chrobak and Buzsáki, 1998b;Alonso and Llinás, 1989), and the theta waveshape reverses around layer 2 of the entorhinal cortex (Alonso and Garcia-Austt, 1987a;Mitchell and Ranck, 1980). The entorhinal and intrahippocampal CA3 theta oscillators vary their frequency and phase relatively independently (Kocsis et al, 1999).…”

Section: Slow (<1 Hz) Rhythms-mirceamentioning

confidence: 95%

Interaction between neocortical and hippocampal networks via slow oscillations

Sirota

Buzsáki

2005

THL

230

219

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Both the thalamocortical and limbic systems generate a variety of brain state-dependent rhythms but the relationship between the oscillatory families is not well understood. Transfer of information across structures can be controlled by the offset oscillations. We suggest that slow oscillation of the neocortex, which was discovered by Mircea Steriade, temporally coordinates the self-organized oscillations in the neocortex, entorhinal cortex, subiculum and hippocampus. Transient coupling between rhythms can guide bidirectional information transfer among these structures and might serve to consolidate memory traces.

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“…Current generators of theta waves have also been observed in neocortical regions in rodents (Mitchell and Ranck, 1980;Alonso and Garcia-Austt, 1987;Leung and Borst, 1987) and humans (Kahana et al, 1999;Cantero et al, 2003;Raghavachari et al, 2006). Viewed from this context, tau protein might be indirectly facilitating the functional integrity of synaptic mechanisms involved in the electrophysiological properties of theta oscillations.…”

Section: Introductionmentioning

confidence: 98%

Role of tau protein on neocortical and hippocampal oscillatory patterns

et al. 2011

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ABSTRACT:Tau is a neuronal microtubule-associated protein implicated in microtubules stabilization, axonal establishment and elongation during neuronal morphogenesis. Because of its elevated expression in neocortical regions and hippocampus, tau might play a role in sculpting collective neural responses underlying slow and fast brain oscillations and/or long-range synchronization patterns between hippocampus and neocortex. To test this hypothesis, local field potentials were recorded in tau-deficient (tau 2/2 ) and wild-type mice from different neocortical regions and from the hippocampus during spontaneous motor exploratory behavior. We found that tau 2/2 mice showed hippocampal theta slowing and reduced levels of gamma long-range synchronization involving the frontal cortex. We hypothesize that the lack of normal phosphorylated tau during early stages of development might influence the maturation of parvalbumin interneurons affecting the spatiotemporal structure of long-range gamma synchronization. Also, the proper functioning of gap-junction channels might be compromised by the absence of tau in hippocampal networks. Altogether, these results provide novel insights into the functional role of tau protein in the formation of collective neural responses and emergence of neocortical-hippocampal interactions in the mammalian brain. V V C 2010 Wiley-Liss, Inc.

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Neuronal sources of theta rhythm in the entorhinal cortex of the rat

Cited by 161 publications

References 40 publications

Grid cell firing may arise from interference of theta frequency membrane potential oscillations in single neurons

Grid cell firing may arise from interference of theta frequency membrane potential oscillations in single neurons

Interaction between neocortical and hippocampal networks via slow oscillations

Role of tau protein on neocortical and hippocampal oscillatory patterns

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