henhaobio
Sign in

Neurobiology of AgingNeurosciencePeer-reviewed journal article

Ensemble-specific deficit in neuronal intrinsic excitability in aged mice

Lingxuan CheniD, Taylor R. FranciscoiD, Austin M. BaggettaiD, Yosif ZakiiD, Steve RamireziD, Roger L. ClemiD, Tristan ShumaniD, Denise J. CaiiD

PDFDOIPreprint

Abstract

With the prevalence of age-related cognitive deficits on the rise, it is essential to identify cellular and circuit alterations that contribute to age-related memory impairment. Increased intrinsic neuronal excitability after learning is important for memory consolidation, and changes to this process could underlie memory impairment in old age. Some studies find age-related deficits in hippocampal neuronal excitability that correlate with memory impairment but others do not, possibly due to selective changes only in activated neural ensembles. Thus, we tagged CA1 neurons activated during learning and recorded their intrinsic excitability 5 hours or 7 days post-training. Adult mice exhibited increased neuronal excitability 5 hours after learning, specifically in ensemble (learning-activated) CA1 neurons. As expected, ensemble excitability returned to baseline 7 days post-training. In aged mice, there was no ensemble-specific excitability increase after learning, which was associated with impaired hippocampal memory performance. These results suggest that CA1 may be susceptible to age-related impairments in post-learning ensemble excitability and underscore the need to selectively measure ensemble-specific changes in the brain.

Citations
16
FWCI
1.55
Field percentile
top 18%

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISTran '19Karaca '21Diersch '21Brunswick '26Severín '20Santoro '24
78% semantic matchNeuroscience
Trinh Tran, Michelle Bridi, Ming Teng Koh+2 more·Neurobiology of Aging·Jul 23, 2019· 26 citations