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Physiological Signature of Memory Age in the Prefrontal-Hippocampal Circuit

Authors :
Yuichi Makino
Denis Polygalov
Federico Bolaños
Andrea Benucci
Thomas J. McHugh
Source :
Cell Reports, Vol 29, Iss 12, Pp 3835-3846.e5 (2019)
Publication Year :
2019
Publisher :
Elsevier, 2019.

Abstract

Summary: The long-term storage of episodic memory requires communication between prefrontal cortex and hippocampus. However, how consolidation alters dynamic interactions between these regions during subsequent recall remains unexplored. Here we perform simultaneous electrophysiological recordings from anterior cingulate cortex (ACC) and hippocampal CA1 in mice during recall of recent and remote contextual fear memory. We find that, in contrast to recent memory, remote memory recall is accompanied by increased ACC-CA1 synchronization at multiple frequency bands. The augmented ACC-CA1 interaction is associated with strengthened coupling among distally spaced CA1 neurons, suggesting an ACC-driven organization of a sparse code. This robust shift in physiology permits a support vector machine classifier to accurately determine memory age on the basis of the ACC-CA1 synchronization pattern. Our findings reveal that memory consolidation alters the dynamic coupling of the prefrontal-hippocampal circuit and results in a physiological signature of memory age. : Makino et al. demonstrate dynamic electrophysiological interactions between ACC and CA1 during recall of remote contextual fear memory, which result in the reactivation of a sparse population of CA1 neurons. These interactions serve as a signature of memory age that can be decoded by a machine learning classifier. Keywords: prefrontal cortex, hippocampus, contextual fear conditioning, remote memory, theta oscillation, gamma oscillation, cross-frequency coupling, spike phase-locking, co-firing, machine learning

Subjects

Subjects :
Biology (General)
QH301-705.5

Details

Language :
English
ISSN :
22111247
Volume :
29
Issue :
12
Database :
Directory of Open Access Journals
Journal :
Cell Reports
Publication Type :
Academic Journal
Accession number :
edsdoj.6059c3b89b984dd596cf0b93781f04f2
Document Type :
article
Full Text :
https://doi.org/10.1016/j.celrep.2019.11.075