Biology subjects

Warburton, E. C.

Publications and source records attributed to Warburton, E. C..

5 recordsLinked to original sources

bioRxiv2025

Novel object-place configurations increase excitability of layer 5 lateral entorhinal cortex engram cells

Associative recognition memory is essential for everyday life, forming cognitive representations of and recalling relationships between things we encounter and their environments. Object-place associations are represented in the lateral entorhinal and medial prefrontal cortices, however the identity of neurons in which these associations are formed, the cellular mechanisms supporting them, and how these representations react to change are not understood. Here we labelled associative recognition memory engrams, finding that engram neuron reactivation by memory recall correlated with behavioural performance only in the dorsolateral subregion of entorhinal cortex, where reactivation was overrepresented in layer 5/6. Electrophysiology from ex vivo slices prepared directly following memory recall revealed increased excitability in layer 5 lateral entorhinal cortex engram cells, which only occurred when engram-specific objects were reconfigured. These data identify deep layer lateral entorhinal cortex neurons as key loci of object-place associations and proposes a plastic mechanism by which pre-existing neural representations are updated. Significance statementAssociative recognition memory is key to our normal everyday lives, but how these memories are updated and which neurons support these memories remain poorly understood. We identify a population of neurons in the deep-layers of lateral entorhinal cortex which are activated by memory encoding and whose reactivation is correlated with, and necessary for, memory retrieval, thus identifying them as engram neurons. These entorhinal neurons demonstrate increased firing following presentation of familiar cues in a novel configuration, revealing a mechanism for integrating new information into existing memories. By identifying a specific cell type and plasticity process underlying memory updating, this work advances understanding of how flexible object-place representations are maintained in the brain.

neuroscience↗

bioRxiv2025

Medial prefrontal cortex input to lateral entorhinal cortex supports both encoding and retrieval of associative recognition memory

Associative recognition memory allows us to form representations of items and their environment and to judge the novelty of such representations. This memory is dependent on a brain circuit that includes interactions between medial prefrontal cortex (mPFC) and lateral entorhinal cortex (LEC); however it is unknown whether the interaction of these brain areas is required for memory encoding, retrieval or both processes. Furthermore, little is known as to whether indirect or direct mPFC-LEC connections are critical for associative recognition memory and, if the latter, in which direction information travels. To address these questions, we first performed pharmacological disconnection of mPFC and LEC, finding that mPFC-LEC interaction is required for both memory encoding and retrieval. Next, we optogenetically inhibited projections from mPFC to LEC, showing that this projection was crucial for both encoding and retrieval of both object-in-place and object-in-context recognition memory when a 1 h, but not a 5 min, memory retention delay was used. These data show that a direct connection from mPFC to LEC is critical for associative recognition memory, in a delay-dependent manner.

neuroscience↗

bioRxiv2025

Perirhinal cortex structure and function is dysregulated by corticosteroid treatment

Glucocorticoids play a crucial role in the stress response and in the regulation of circadian function, as well as cognitive, cardiovascular, metabolic and immunological processes. While synthetic glucocorticoids (sGC) are widely used in treating inflammatory disorders, their impact on cognitive functions, which include memory deficits and dysregulation of mood, remains less understood. Here, we demonstrate that chronic treatment with the sGC methylprednisolone (MPL) dysregulates the synaptic proteome and impairs cognitive function in the perirhinal cortex, a region critical for recognition memory and visual perception. Further, we show that synaptic structure and plasticity are altered by MPL treatment, highlighting the mechanisms through which sGCs disrupt mnemonic processing. These results may have broad implications for understanding the cognitive side effects of widely used sGC treatments.

neuroscience↗

bioRxiv2024

Hierarchical Bayesian modeling of multi-region brain cell count data

We can now collect cell-count data across whole animal brains quantifying recent neuronal activity, gene expression, or anatomical connectivity. This is a powerful approach since it is a multi-region measurement, but because the imaging is done post-mortem, each animal only provides one set of counts. Experiments are expensive and since cells are counted by imaging and aligning a large number of brain sections, they are time-intensive. The resulting datasets tend to be under-sampled with fewer animals than brain regions. As a consequence, these data are a challenge for traditional statistical approaches. We present a standard partially-pooled Bayesian model for multi-region cell-count data and apply it to two example datasets. These examples demonstrate that hierarchical Bayesian methods are well suited to these data. In both cases the Bayesian model outperformed standard parallel t-tests. Overall, inference for cell-count data is substantially improved by the ability of the Bayesian approach to capture nested data and by its rigorous handling of uncertainty in under-sampled data.

neuroscience↗

bioRxiv2021

Why do hippocampal mossy cells matter? It depends on the frequency and context.

The discrimination of similar episodes and places, and their representation as distinct memories, depend on a process called pattern separation that relies on the circuitry of the hippocampal dentate gyrus (DG). Mossy cells (MCs) are key neurons in the circuitry, but how they influence DG network dynamics, function, and seizure risk has not been fully elucidated. We found the net impact of MCs was inhibitory at physiological frequencies connected with learning and behaviour, and their absence associated with deficits in pattern separation and spatial memory; at higher frequencies, their net impact was excitatory, and their absence protected against seizures. Thus, MCs influence DG outputs in a highly dynamic manner that varies with frequency and context. One-Sentence SummaryHippocampal mossy cells are required for learning and memory; but their absence protects against seizures.

neuroscience↗