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bioRxiv · 10.1101/2022.06.08.495364

Enhancing associative learning in rats with a computationally designed training protocol

Zhang, X. O.·Zhang, Y.·Engelke, D. S.·Cho, C. E.·Smolen, P.·Byrne, J. H.·Do Monte, F. H.
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Abstract

BackgroundLearning requires the activation of protein kinases with distinct temporal dynamics. In Aplysia, nonassociative learning can be enhanced by a computationally designed learning protocol with intertrial intervals (ITIs) that maximize the interaction between fast-activated protein kinase A (PKA) and slow-activated extracellular signal-regulated kinase (ERK). Whether a similar strategy can enhance associative learning in mammals is unknown. MethodsWe simulated 1,000 training protocols with varying ITIs to predict an optimal protocol based on empirical data for PKA and ERK dynamics in rat hippocampus. Adult male rats received the optimal protocol or control protocols in auditory fear conditioning and fear extinction experiments. Immunohistochemistry was performed to evaluate phosphorylated cAMP responsive element binding (pCREB) protein levels in brain regions implicated in fear acquisition. ResultsRats exposed to the optimal conditioning protocol with irregular ITIs exhibited impaired extinction memory acquisition within the session using a standard footshock intensity, and stronger fear memory retrieval and spontaneous recovery with a weaker footshock intensity, compared to rats that received massed or spaced conditioning protocols with fixed ITIs. Rats exposed to the optimal extinction protocol displayed improved extinction of contextual fear memory and reduced spontaneous recovery compared to rats that received standard extinction protocols. Moreover, the optimal conditioning protocol increased pCREB levels in the dentate gyrus (DG) of the dorsal hippocampus, suggesting enhanced induction of long-term potentiation. ConclusionThese findings demonstrate that a computational model-driven behavioral intervention can enhance associative learning in mammals, and may provide insight into strategies to improve cognition in humans.

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Zhang, X. O., Zhang, Y., Engelke, D. S., Cho, C. E., Smolen, P., Byrne, J. H., Do Monte, F. H.. 2022-06-12. Enhancing associative learning in rats with a computationally designed training protocol. https://doi.org/10.1101/2022.06.08.495364

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