Abstract

Memory consolidation after learning involves spontaneous, brain-wide network reorganization during rest and sleep, but how this is achieved is still poorly understood. Current theory suggests that the hippocampus is pivotal for this reshaping of connectivity. Using fMRI in male mice, we identify that a different set of spontaneous networks and their hubs are instrumental in consolidating memory during post-learning rest. We found that two types of spatial memory training invoke distinct functional connections, but that a network of the sensory cortex and subcortical areas is common for both tasks. Furthermore, learning increased brain-wide network integration, with the prefrontal, striatal and thalamic areas being influential for this network-level reconfiguration. Chemogenetic suppression of each hub identified after learning resulted in retrograde amnesia, confirming the behavioral significance. These results demonstrate the causal and functional roles of resting-state network hubs in memory consolidation and suggest that a distributed network beyond the hippocampus subserves this process.

How long-lasting memory is formed remains incompletely understood. Here, using fMRI and hub silencing, the authors discovered causal network hubs that are instrumental in consolidating memory and contributing to network reorganization.

Details

Title
Locating causal hubs of memory consolidation in spontaneous brain network in male mice
Author
Li, Zengmin 1 ; Athwal, Dilsher 1 ; Lee, Hsu-Lei 1   VIAFID ORCID Logo  ; Sah, Pankaj 2   VIAFID ORCID Logo  ; Opazo, Patricio 3 ; Chuang, Kai-Hsiang 4   VIAFID ORCID Logo 

 The University of Queensland, Queensland Brain Institute, Brisbane, Australia (GRID:grid.1003.2) (ISNI:0000 0000 9320 7537) 
 The University of Queensland, Queensland Brain Institute, Brisbane, Australia (GRID:grid.1003.2) (ISNI:0000 0000 9320 7537); Southern University of Science and Technology, Joint Center for Neuroscience and Neural Engineering, and Department of Biology, Shenzhen, PR China (GRID:grid.263817.9) (ISNI:0000 0004 1773 1790) 
 The University of Queensland, Queensland Brain Institute, Brisbane, Australia (GRID:grid.1003.2) (ISNI:0000 0000 9320 7537); The University of Queensland, Clem Jones Centre for Ageing Dementia Research, Brisbane, Australia (GRID:grid.1003.2) (ISNI:0000 0000 9320 7537); The University of Edinburgh, UK Dementia Research Institute, Centre for Discovery Brain Sciences, Edinburgh, UK (GRID:grid.4305.2) (ISNI:0000 0004 1936 7988) 
 The University of Queensland, Queensland Brain Institute, Brisbane, Australia (GRID:grid.1003.2) (ISNI:0000 0000 9320 7537); The University of Queensland, Centre of Advanced Imaging, Brisbane, Australia (GRID:grid.1003.2) (ISNI:0000 0000 9320 7537); Australian Research Council Training Centre for Innovation in Biomedical Imaging Technology, Brisbane, Australia (GRID:grid.1003.2) 
Pages
5399
Publication year
2023
Publication date
2023
Publisher
Nature Publishing Group
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2861031085
Copyright
© The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.