Insomnia affects approximately third of the adult population, and is a significant public health problem. The current pathophysiological models are incomplete, but they associate insomnia strongly with stress reactivity and fragmented rapid-eye-movement (REM)-sleep. The project provides innovative and future-oriented research agenda for advancing understanding and treatment of insomnia. Towards that aim, the project uses machine learning to understand more deeply how the brain activity in REM-sleep contributes to insomnia and sets out experiments that aim to reveal how emotional memory representations are modulated overnight in insomnia patients and in healthy participants. The project also reaches out for better sleep resilience and investigates how presleep relaxation reflects on REM-sleep quality in insomnia. The project is methdologically strong and innovative, with a good potential to contribute to the renewal of insomnia research.

2023

2027