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03/24/2025 16:00

Sleep keeps memories fresh: Neural patterns reorganize during sleep to boost recollection

Andreas Rothe Communications, Events and Science Education
Institute of Science and Technology Austria

    Why is sleep so important for learning and memory? Neuroscientists from the Csicsvari group at the Institute of Science and Technology Austria (ISTA) provided new insight into this essential function by monitoring neuronal activity in rat brains for up to 20 hours of sleep following spatial learning. Central to the findings are reorganizations of neuronal activity patterns during sleep to reflect those seen during memory recollection upon awakening. The findings were published in Neuron.

    A good night’s sleep helps us remember recently learned information, ‘engraving’ our memories. This is also true for animals, as remembering for example the location of food resources is essential for their survival. Scientists can examine this role of sleep in the lab by training lab mice or rats about their environment using various memory tasks. In such experiments designed for spatial learning, the animals must learn and subsequently remember the location of food rewards in mazes. Despite extensive research aimed at understanding the neuronal mechanisms that favor learning, memory formation, and recollection, many questions about these essential brain functions remain unanswered.

    Now, researchers from Professor Jozsef Csicsvari’s group at the Institute of Science and Technology Austria (ISTA) have probed the key roles of sleep stages in optimizing memory recollection. They wirelessly measured neuronal activity patterns in rat brains for up to 20 hours of sleep, considerably extending previously reported measurement times. “We showed that the neuronal assemblies in the early stages of sleep reflect recently learned spatial memories. However, as sleep progresses, neuronal activity patterns gradually transform into those seen later, when the rats awaken and remember the locations of their food rewards,” says Csicsvari.

    Mapping—and remembering—reward locations

    Past work showed that a cortical brain area called the hippocampus is important both for exploring and maintaining routes in an environment (called spatial navigation), and for spatial learning. Hippocampal neurons keep track of the animal’s location by firing at specific locations, thus forming a cognitive map of the environment. Animals use this map to navigate in space while updating it during learning. In this process, the reward locations play an instrumental role, becoming disproportionately represented on the animals’ cognitive map.

    Following spatial learning, the hippocampus plays an important role in enhancing memory during sleep. It does so by reactivating recently learned memory traces. Previously, the Csicsvari group showed that the more often a specific reward location is reactivated during sleep, the better the animal remembered that location when they woke up. On the other hand, when the team blocked the reactivation of a specific reward memory, the animals were unable to recall the respective location.

    Reorganizing neuronal patterns during sleep engraves memories

    While scientists could so far only examine the reactivation of spatial memories in shorter sleep periods of two to four hours, the team now achieved such experiments during long overnight sleep. Using wireless recordings, they monitored neuronal activity in the hippocampus for up to 20 hours while the rats rested and slept after a spatial learning paradigm.

    “Our findings were unexpected. We showed that the activity patterns of neurons linked to the reward locations reorganized during the long sleep,” says ISTA PhD graduate Lars Bollmann, one of the study’s co-first authors. Indeed, when a given reward location was reactivated, not all the neurons that represented that location remained active in the entire sleep. While some did—the ISTA researchers called them a “stable subgroup”—, others stopped firing during later sleep stages. But at the same time, a new group of neurons started to fire gradually. “Most surprisingly, we showed that while the pattern of firing neurons in the early stages of sleep echoed the neuronal activity in the learning phase, this pattern later evolved to mirror the neuronal activity when the rats woke up and remembered where the rewards were located,” adds Bollmann. Thus, the team not only observed a drift in neuronal activity patterns during sleep in the frame of spatial learning but also linked it to the process of memory reactivation. Thus, they shed light on how sleep helps keep memories fresh. In addition, they showed that this reorganization happens during non-rapid eye movement (non-REM) sleep, while REM sleep counteracts it.

    Freeing neurons up for new memories?

    What could be the role of this phenomenon—called “representational drift”—that occurs in sleep? “We can only speculate in this regard,” says Csicsvari. “It is possible that memory representations must be formed quickly during learning but that such representations are not optimal for long-term storage. Therefore, a process may take place in sleep that optimizes these representations in sleep to reduce brain resources to store a specific memory.” In support of this hypothesis, the researchers observed that fewer neurons were linked to a given reward location after sleep than before. Therefore, some neurons get freed up to take in newer memories. “Any new memories must find a way to be integrated into existing knowledge. Frequent repetitions of the new memories as well as partial change in the neuronal code may thus help optimize their integration into existing memory representations,” concludes Csicsvari.

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    The present research was conducted at the Institute of Science and Technology Austria (ISTA) by the recent ISTA PhD graduate Lars Bollmann and former ISTA postdoc Peter Baracskay (co-first authors) together with former ISTA postdoc Federico Stella, currently an Assistant Professor at Radboud University, Donders Institute for Brain, The Netherlands, and ISTA Professor Jozsef Csicsvari (co-corresponding authors).

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    Funding information
    This project was supported by funding from the European Research Council (ERC) grant 281511 and the Austrian Science Fund (FWF) grant 13713.

    Information on animal studies
    To better understand fundamental processes, for example, in the fields of neuroscience, immunology, or genetics, the use of animals in research is indispensable. No other methods, such as in silico models, can serve as an alternative. The animals are raised, kept, and treated according to strict regulations.
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    Original publication:

    Lars Bollmann, Peter Baracskay, Federico Stella & Jozsef Csicsvari. 2025. Sleep stages antagonistically modulate reactivation drift. Neuron. DOI: https://doi.org/10.1016/j.neuron.2025.02.025


    More information:

    https://ista.ac.at/en/research/csicsvari-group/ "Systems Neuroscience" research group at ISTA


    Images

    ISTA Professor Jozsef Csicsvari in the lab
    ISTA Professor Jozsef Csicsvari in the lab

    © Nadine Poncioni | ISTA

    ISTA Professor Jozsef Csicsvari
    ISTA Professor Jozsef Csicsvari

    © Nadine Poncioni | ISTA


    Criteria of this press release:
    Journalists
    Biology, Medicine
    transregional, national
    Research results, Scientific Publications
    English


     

    ISTA Professor Jozsef Csicsvari in the lab


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    ISTA Professor Jozsef Csicsvari


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