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Multiscale intracranial EEG dynamics across sleep-wake states: toward memory-related processing
Juan M Tenti1,2, Monserrat Pallares Di Nunzio2,3, Marisa A Bab1,2
1Instituto de Investigaciones Fisicoquímicas Teóricas y Aplicadas (INIFTA), Universidad Nacional de La Plata (UNLP)-Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), La Plata, Argentina.
Frontiers in Computational Neuroscience
|November 10, 2025
Summary
Sleep dynamics support memory consolidation. Intracranial EEG (iEEG) revealed distinct neural activity patterns during N2/N3 sleep, REM sleep, and wakefulness, highlighting brain states conducive to memory processing.
Area of Science:
- Neuroscience
- Sleep Science
- Cognitive Neuroscience
Background:
- Sleep is crucial for memory consolidation.
- Neural dynamics across multiple timescales are involved.
- Understanding these dynamics is key to memory processing.
Purpose of the Study:
- To characterize spectral activity, neuronal avalanche dynamics, and temporal correlations during different sleep-wake states.
- To investigate the spatial distribution and functional relevance of these dynamics.
- To explore how these neural signatures relate to memory processing.
Main Methods:
- Utilized intracranial EEG (iEEG) recordings from patients.
- Analyzed spectral power, neuronal avalanche size, and temporal correlations (Detrended Fluctuation Analysis).
- Compared these measures across N2, N3, REM sleep, and wakefulness, examining regional variations.
Main Results:
- N2 and N3 sleep showed increased low-frequency power, larger neuronal avalanches, and enhanced long-range temporal correlations.
- REM sleep and wakefulness exhibited reduced temporal persistence and fewer large-scale cascades.
- Distinct regional patterns were observed, particularly in medial temporal and frontal areas.
Conclusions:
- Sleep-wake states exhibit unique spatio-temporal neural dynamics.
- These dynamics, especially during N2/N3 sleep, may create a neural landscape favoring memory stabilization and reconfiguration.
- iEEG is valuable for understanding the multiscale structure of sleep-related brain dynamics and their link to memory.

