Forgetting unwanted memories in sleep
SLEEPAWAY investigates how sleep reactivates memories to weaken unwanted ones, using advanced neuroimaging to explore its impact on memory and emotional regulation.
Projectdetails
Introduction
What we remember and forget lies at the core of who we are. But how do our brains shape our memories of the past? Sleep promotes the flexible use of memory by reactivating and thereby strengthening information that is most relevant to our future needs.
Research Gap
Whether memory reactivation in sleep also weakens unwanted components of prior experience is unknown, but it represents a major gap in our understanding of memory and how sleep influences our autobiographical identities.
Project Overview
SLEEPAWAY combines an innovative technique for manipulating lab-based and real-world memories with an unprecedented array of neuroimaging methodologies to test the novel hypothesis that memory reactivation during sleep weakens unwanted memories in service of adaptive forgetting.
Methodology
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Memory Weakening in Sleep
Using magnetoencephalography with optically pumped magnetometers (OPM-MEG), I will first determine whether reactivating a target memory in slow-wave sleep weakens unwanted memories from the same experience, making them less accessible. -
Emotional Memory Reactivation
I will bring together OPM-MEG, fMRI, and immersive virtual reality to obtain the first anatomically localized evidence of emotional memory reactivation in human rapid eye movement sleep, closing an important translational gap with extant animal models. -
Emotion Regulation
I will employ fMRI and EEG to examine the intriguing possibility that memory reactivation in sleep facilitates emotion regulation by weakening negative interpretations of real-world events, fostering a concrete pathway towards clinical intervention. -
Active Forgetting
Finally, to advance understanding of the symbiotic relationship between endogenous memory operations in the waking and sleeping brain, I will use OPM-MEG to test the prediction that active forgetting during wakefulness inhibits spontaneous memory reactivation in later sleep.
Conclusion
In sum, SLEEPAWAY will make a substantial novel theoretical contribution by delineating the basic mechanisms through which our brains eradicate unwanted details of the past to support our cognitive and emotional goals.
Financiële details & Tijdlijn
Financiële details
Subsidiebedrag | € 1.999.769 |
Totale projectbegroting | € 1.999.769 |
Tijdlijn
Startdatum | 1-8-2025 |
Einddatum | 31-7-2030 |
Subsidiejaar | 2025 |
Partners & Locaties
Projectpartners
- UNIVERSITY OF YORKpenvoerder
Land(en)
Vergelijkbare projecten binnen European Research Council
Project | Regeling | Bedrag | Jaar | Actie |
---|---|---|---|---|
Tracking memory during sleep: understanding how re-play of complex information affects memory and mental healthThis project aims to harness sleep's memory processing to develop innovative therapies for mental disorders using advanced neuro-scientific methods and behavioral paradigms. | ERC Consolid... | € 1.984.125 | 2025 | Details |
The Electrophysiological Landscape of DreamsThis project aims to understand the neural mechanisms of dreaming by analyzing EEG potentials during sleep and wakefulness, with implications for neuroscience and treatment of sleep disorders. | ERC Starting... | € 1.748.906 | 2023 | Details |
Harnessing the cognitive and neurophysiological processes characterising the sleep onset periodThe project aims to refine the understanding of sleep onset dynamics through multimodal physiological recordings and neurofeedback, enabling control over sleep timing based on individual needs. | ERC Consolid... | € 1.995.218 | 2023 | Details |
Sleeping While Awake: Sleep intrusions during wakefulness and their cognitive consequencesThis project aims to investigate the physiological mechanisms of wake slow waves in the brain during fatigue, exploring their impact on cognitive performance and potential for modulation. | ERC Starting... | € 1.499.686 | 2024 | Details |
Mechanisms and purpose of top-down neural activity generation across conscious statesThis project aims to investigate the role of top-down circuits in cortical layer 1 during sleep using in vivo imaging to understand their impact on neural activity and cognitive processes. | ERC Consolid... | € 2.603.510 | 2024 | Details |
Tracking memory during sleep: understanding how re-play of complex information affects memory and mental health
This project aims to harness sleep's memory processing to develop innovative therapies for mental disorders using advanced neuro-scientific methods and behavioral paradigms.
The Electrophysiological Landscape of Dreams
This project aims to understand the neural mechanisms of dreaming by analyzing EEG potentials during sleep and wakefulness, with implications for neuroscience and treatment of sleep disorders.
Harnessing the cognitive and neurophysiological processes characterising the sleep onset period
The project aims to refine the understanding of sleep onset dynamics through multimodal physiological recordings and neurofeedback, enabling control over sleep timing based on individual needs.
Sleeping While Awake: Sleep intrusions during wakefulness and their cognitive consequences
This project aims to investigate the physiological mechanisms of wake slow waves in the brain during fatigue, exploring their impact on cognitive performance and potential for modulation.
Mechanisms and purpose of top-down neural activity generation across conscious states
This project aims to investigate the role of top-down circuits in cortical layer 1 during sleep using in vivo imaging to understand their impact on neural activity and cognitive processes.
Vergelijkbare projecten uit andere regelingen
Project | Regeling | Bedrag | Jaar | Actie |
---|---|---|---|---|
twiN-on-a-chip brAins for monitoring individual sleeP habitsNAP aims to revolutionize sleep research by developing personalized in vitro models to identify sleep disorders and early Parkinson's Disease signs, enhancing diagnostics and reducing healthcare costs. | EIC Pathfinder | € 3.615.375 | 2023 | Details |
Metaplastic Spintronics SynapsesMETASPIN aims to develop low-power spintronic artificial synapses with metaplasticity to prevent catastrophic forgetting in AI, integrating this technology into an ANN for multitask learning applications. | EIC Pathfinder | € 2.999.750 | 2023 | Details |
twiN-on-a-chip brAins for monitoring individual sleeP habits
NAP aims to revolutionize sleep research by developing personalized in vitro models to identify sleep disorders and early Parkinson's Disease signs, enhancing diagnostics and reducing healthcare costs.
Metaplastic Spintronics Synapses
METASPIN aims to develop low-power spintronic artificial synapses with metaplasticity to prevent catastrophic forgetting in AI, integrating this technology into an ANN for multitask learning applications.