The estrous cycle modulates hippocampal spine dynamics, dendritic processing, and spatial coding DOI Creative Commons
Nora S. Wolcott, William T. Redman,

Marie Karpinska

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Aug. 3, 2024

Abstract Histological evidence suggests that the estrous cycle exerts a powerful effect on CA1 neurons in mammalian hippocampus. Decades have passed since this landmark observation, yet how shapes dendritic spine dynamics and hippocampal spatial coding vivo remains mystery. Here, we used custom microperiscope two-photon calcium imaging to track pyramidal female mice over multiple cycles. Estrous stage had potent dynamics, with heightened density during periods of greater estradiol (proestrus). These morphological changes were accompanied by somatodendritic coupling increased infiltration back-propagating action potentials into apical dendrite. Finally, tracking response properties navigation revealed enhanced place field stability proestrus, evident at single-cell population level. results establish as driver large-scale structural functional plasticity circuits essential for learning memory.

Language: Английский

Hippocampal neuronal activity is aligned with action plans DOI Creative Commons
Ipshita Zutshi, Athina Apostolelli, Wannan Yang

et al.

Nature, Journal Year: 2025, Volume and Issue: 639(8053), P. 153 - 161

Published: Jan. 8, 2025

Language: Английский

Citations

1
Navigating uncertainty: reward location variability induces reorganization of hippocampal spatial representations DOI Creative Commons
Charline Tessereau, Feng Xuan, Jack R. Mellor

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 7, 2025

Navigating uncertainty is crucial for survival, with the location and availability of reward varying in different unsignalled ways. Hippocampal place cell populations over-represent salient locations an animal's environment, including those associated rewards; however, how spatial uncertainties impact cognitive map unclear. We report a virtual navigation task designed to test levels types about on populations. When changed trial-by-trial basis, inducing expected uncertainty, greater proportion cells followed along, track end became anchors warped metric. then unexpectedly moved, fraction that was when starting from state expected, compared low, uncertainty. Overall, we show forms potentially interacting generate remapping parallel, task-relevant, reference frames.

Language: Английский

Citations

0
Spaces and sequences in the hippocampus: a homological perspective DOI Creative Commons

Andrey Babichev,

Vladmir Vashin,

Yuri Dabaghian

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 10, 2025

Topological techniques have become a popular tool for studying information flows in neural networks. In particular, simplicial homology theory is used to analyze how cognitive representations of space emerge from large conglomerates independent neuronal contributions. Meanwhile, growing number studies suggest that many functions are sustained by serial patterns activity. Here, we investigate stashes such using path —an impartial, universal approach does not require priori assumptions about the sequences’ nature, functionality, underlying mechanisms, or other contexts. We focus on hippocampus—a key enabler learning and memory mammalian brains—and quantify ordinal arrangement its activity similarly topology has previously been studied terms homologies. The results reveal vast majority sequences produced during spatial navigation structurally equivalent one another. Only few classes distinct form an schema remains stable as pool consolidates. Importantly, structure both maps upheld combinations short sequences, suggesting brief motifs dominate physiological computations. This organization emerges stabilizes timescales characteristic learning, displaying similar dynamics. Yet, generally do reflect topological affinities—spatial sequential analyses address qualitatively different aspects spike flows, representing two complementary formats processing. Significance statement study employs examine hippocampus, critical region memory. While traditional, approaches model maps, provides framework analyzing without presupposing their nature function. findings limited sequence classes, supported motifs, over corresponding periods learning. Notably, derived these capture affinities, highlighting but dimensions

Language: Английский

Citations

0
One-shot entorhinal maps enable flexible navigation in novel environments DOI Creative Commons
John H. Wen, Ben Sorscher, Emily A Aery Jones

et al.

Nature, Journal Year: 2024, Volume and Issue: 635(8040), P. 943 - 950

Published: Oct. 9, 2024

Animals must navigate changing environments to find food, shelter or mates. In mammals, grid cells in the medial entorhinal cortex construct a neural spatial map of external environment

Language: Английский

Citations

2
The estrous cycle modulates hippocampal spine dynamics, dendritic processing, and spatial coding DOI Creative Commons
Nora S. Wolcott, William T. Redman,

Marie Karpinska

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Aug. 3, 2024

Abstract Histological evidence suggests that the estrous cycle exerts a powerful effect on CA1 neurons in mammalian hippocampus. Decades have passed since this landmark observation, yet how shapes dendritic spine dynamics and hippocampal spatial coding vivo remains mystery. Here, we used custom microperiscope two-photon calcium imaging to track pyramidal female mice over multiple cycles. Estrous stage had potent dynamics, with heightened density during periods of greater estradiol (proestrus). These morphological changes were accompanied by somatodendritic coupling increased infiltration back-propagating action potentials into apical dendrite. Finally, tracking response properties navigation revealed enhanced place field stability proestrus, evident at single-cell population level. results establish as driver large-scale structural functional plasticity circuits essential for learning memory.

Language: Английский

Citations

0