Up and Down States and Memory Consolidation Across Somatosensory, Entorhinal, and Hippocampal Cortices

In the course of a day, brain states fluctuate, from conscious awake information-acquiring states to sleep states, during which previously acquired information is further processed and stored as memories. One hypothesis is that memories are consolidated and stored during "offline" states s...

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Published in:Frontiers in systems neuroscience Vol. 14; p. 22
Main Authors: Tukker, John J, Beed, Prateep, Schmitz, Dietmar, Larkum, Matthew E, Sachdev, Robert N S
Format: Journal Article
Language:English
Published: Switzerland Frontiers Media S.A 08-05-2020
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Summary:In the course of a day, brain states fluctuate, from conscious awake information-acquiring states to sleep states, during which previously acquired information is further processed and stored as memories. One hypothesis is that memories are consolidated and stored during "offline" states such as sleep, a process thought to involve transfer of information from the hippocampus to other cortical areas. Up and Down states (UDS), patterns of activity that occur under anesthesia and sleep states, are likely to play a role in this process, although the nature of this role remains unclear. Here we review what is currently known about these mechanisms in three anatomically distinct but interconnected cortical areas: somatosensory cortex, entorhinal cortex, and the hippocampus. In doing so, we consider the role of this activity in the coordination of "replay" during sleep states, particularly during hippocampal sharp-wave ripples. We conclude that understanding the generation and propagation of UDS may provide key insights into the cortico-hippocampal dialogue linking archi- and neocortical areas during memory formation.
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Reviewed by: M. Gustavo Murer, University of Buenos Aires, Argentina; Ehren Lee Newman, Indiana University Bloomington, United States
These authors have contributed equally to this work
Edited by: Alain Destexhe, FRE3693 Unité de Neuroscience, Information et Complexité (UNIC), France
ISSN:1662-5137
1662-5137
DOI:10.3389/fnsys.2020.00022