ORIGINAL RESEARCH article
Front. Comput. Neurosci.
Volume 19 - 2025 | doi: 10.3389/fncom.2025.1618191
This article is part of the Research TopicUnraveling Information Encoding and Representation in Memory Formation and LearningView all 4 articles
Multiscale Intracranial EEG Dynamics Across Sleep–Wake States: Toward Memory-Related Processing
Provisionally accepted- 1National Scientific and Technical Research Council (CONICET), Buenos Aires, Buenos Aires, Argentina
- 2CONICET Instituto de Física La Plata (IFLP), La Plata, Argentina
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Sleep is known to support memory consolidation through a complex interplay of neural dynamics across multiple timescales. Using intracranial EEG (iEEG) recordings from patients undergoing clinical monitoring, we characterize spectral activity, neuronal avalanche dynamics, and temporal correlations across sleep-wake states, with a focus on their spatial distribution and potential functional relevance. We observe increased low-frequency power, larger avalanches, and enhanced long-range temporal correlations—quantified via Detrended Fluctuation Analysis—during N2 and N3 sleep. In contrast, REM sleep and wakefulness show reduced temporal persistence and fewer large-scale cascades, suggesting a shift toward more fragmented and flexible dynamics. These signatures vary across cortical regions, with distinctive patterns emerging in medial temporal and frontal areas—regions implicated in memory processing. Rather than providing direct evidence of consolidation, our results point to a functional neural landscape that may favor both stabilization and reconfiguration of internal representations during sleep. Overall, our findings highlight the utility of iEEG in revealing the multiscale spatio-temporal structure of sleep-related brain dynamics, offering insights into the physiological conditions that support memory-related processing.
Keywords: Sleep, memory consolidation, intracranial EEG, neural dynamics, multiscale analysis, cortical regions, temporalcorrelations, Avalanche dynamics
Received: 25 Apr 2025; Accepted: 06 Oct 2025.
Copyright: © 2025 Tenti, Pallares Di Nunzio, Bab, Rosso, Montani and Arlego. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Marcelo Jose Fabian Arlego, arlego@fisica.unlp.edu.ar
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