SOURCE-LINKED INTELLIGENCE

Tracking memory during sleep: understanding how re-play of complex information affects memory and mental health

CORDIS · observation · Publication date unknown

vidence of this phenomenon in humans, building on studies in rodents and humans. Our approach involves creating a reliable procedure to track memory reprocessing using a cutting-edge MEG scanner with machine learning to identify replay events during sleep. We'll also explore how complex memories unfold over several weeks and use a novel behavior-al paradigm to generalize how complex memories are consolidated. This will allow us to examine how depression can disrupt this process, offering new possibilities for therapy. While developing these methods presents challenges and the outcomes are uncertain, we believe the potential benefits make it worthwhile. Success in our project could pave the way for future efforts to manipulate memory replay during sleep—an exciting possibility. The project provides a vital step to later establishing a closed-loop approach that both measures and responds to replay, e.g., by acoustic or electrical stimulation techniques. We hope in the end to pioneer techniques that can support therapy for prevalent mental health challenges like depression, schizophren

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recordType

award

status

SIGNED

region

EU

value

1984125

unit

EUR