Barth, AM;
Domonkos, A;
Fernandez-Ruiz, A;
Freund, TF;
Varga, V;
(2018)
Hippocampal Network Dynamics during Rearing Episodes.
Cell Reports
, 23
(6)
pp. 1706-1715.
10.1016/j.celrep.2018.04.021.
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Abstract
Animals build a model of their surroundings on the basis of information gathered during exploration. Rearing on the hindlimbs changes the vantage point of the animal, increasing the sampled area of the environment. This environmental knowledge is suggested to be integrated into a cognitive map stored by the hippocampus. Previous studies have found that damage to the hippocampus impairs rearing. Here, we characterize the operational state of the hippocampus during rearing episodes. We observe an increase of theta frequency paralleled by a sink in the dentate gyrus and a prominent theta-modulated fast gamma transient in the middle molecular layer. On the descending phase of rearing, a decrease of theta power is detected. Place cells stop firing during rearing, while a different subset of putative pyramidal cells is activated. Our results suggest that the hippocampus switches to a different operational state during rearing, possibly to update spatial representation with information from distant sources.
Type: | Article |
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Title: | Hippocampal Network Dynamics during Rearing Episodes |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1016/j.celrep.2018.04.021 |
Publisher version: | http://doi.org/10.1016/j.celrep.2018.04.021 |
Language: | English |
Additional information: | Copyright © 2018 The Author(s). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
Keywords: | theta rhythm, gamma oscillation, cross-frequency coupling, place cell, motion capture, silicone probe, independent component analysis, CA1, dentate gyrus, navigation |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences |
URI: | https://discovery.ucl.ac.uk/id/eprint/10070641 |
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