Activation of the medial entorhinal cortex drives memory-guided navigation behavior

The cognitive map in the medial entorhinal cortex (MEC) is essential for spatial memory and exhibits experience-dependent changes. Yet, it remains unclear whether MEC activation is sufficient to drive memory-guided navigation, precluding a causal link between the MEC and spatial memory. To address this gap, we examined and optogenetically manipulated MEC activity as mice navigated a virtual track for a water reward based on memory. During learning, spatial activity in the pre-reward region showed the highest consistency along the track and closely paralleled improvements in reward-predictive behaviors. This elevated pre-reward consistency was widespread across MEC neurons, rather than confined to a particular cell type, indicating a network-level representation supporting reward prediction. Strikingly, optogenetic activation of MEC at non-reward locations biased reward-predictive behaviors toward stimulation sites, but only when stimulation patterns were spatially consistent. Consistent stimulation also induced anticipatory reward-seeking before stimulation onset and this behavior gradually developed with repeated stimulation, reflecting memory formation for stimulation locations. Moreover, in animals that failed to learn the track well, consistent pre-reward activation, alone or combined with landmark activation, significantly enhanced their reward prediction. Thus, spatially consistent MEC activation underlies memory-guided reward prediction, supporting a causal role for the MEC in spatial memory.

Authors

Institutions

Publication Details

Journal
bioRxiv (Cold Spring Harbor Laboratory)
Published
2025-12-26
DOI
https://doi.org/10.64898/2025.12.24.696388
Primary Topic
Memory and Neural Mechanisms
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Activation of the medial entorhinal cortex drives memory-guided navigation behavior

Jean Tyan, Taylor J. Malone, Yan Ma, Nai-Wen Tien et al.
bioRxiv (Cold Spring Harbor Laboratory)
Memory and Neural Mechanisms
article

Activation of the medial entorhinal cortex drives memory-guided navigation behavior

Jean Tyan, Taylor J. Malone, Yan Ma, Nai-Wen Tien, Yi Gu
article en

Abstract

The cognitive map in the medial entorhinal cortex (MEC) is essential for spatial memory and exhibits experience-dependent changes. Yet, it remains unclear whether MEC activation is sufficient to drive memory-guided navigation, precluding a causal link between the MEC and spatial memory. To address this gap, we examined and optogenetically manipulated MEC activity as mice navigated a virtual track for a water reward based on memory. During learning, spatial activity in the pre-reward region showed the highest consistency along the track and closely paralleled improvements in reward-predictive behaviors. This elevated pre-reward consistency was widespread across MEC neurons, rather than confined to a particular cell type, indicating a network-level representation supporting reward prediction. Strikingly, optogenetic activation of MEC at non-reward locations biased reward-predictive behaviors toward stimulation sites, but only when stimulation patterns were spatially consistent. Consistent stimulation also induced anticipatory reward-seeking before stimulation onset and this behavior gradually developed with repeated stimulation, reflecting memory formation for stimulation locations. Moreover, in animals that failed to learn the track well, consistent pre-reward activation, alone or combined with landmark activation, significantly enhanced their reward prediction. Thus, spatially consistent MEC activation underlies memory-guided reward prediction, supporting a causal role for the MEC in spatial memory.

bioRxiv (Cold Spring Harbor Laboratory)
National Institutes of Health (US), Washington University in St. Louis (US), Karolinska Institutet (SE), National Institute of Neurological Disorders and Stroke (US)
Openalex Percentile: Top 32%
Memory and Neural Mechanisms
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.