bioRxivNeurosciencePreprint
The hidden phase of memory: EEG signatures of reactivation during post-retrieval rest
Luz BavassiiD, Germán Campos-ArteagaiD, Ismael GarcíaiD, Mario Villena‐GonzáleziD, Libertad Campassi, Emiliano MarachlianiD, Cecilia ForcatoiD, Eugenio RodrígueziD, Eugenia PedreiraiD
Abstract
AO_SCPLOWBSTRACTC_SCPLOWMemory retrieval reactivates previously encoded representations, allowing for their modification and strengthening. However, the neural processes that follow reactivation and contribute to long-term retention remain poorly understood. Here, we examined the post-retrieval resting period to identify neural markers of memory reactivation and their relation to subsequent memory performance. Participants learned pairs of nonsense syllables in multisensory contexts and, on the following day, received either a cue-syllable reminder (context + cue syllable; RX) or a context-only reminder (RCTX) while EEG activity was recorded before and after the reminder presentation. Both reminders elicited significant reductions in beta power (25-40 Hz) during the post-reminder rest, consistent with memory reactivation. The magnitude of beta decrement correlated with better long-term performance. Graph-theoretical analyses of phase synchronization networks in the beta band revealed that the RCTX reminder produced higher bilateral frontal betweenness centrality, suggesting greater engagement of frontal regions in mediating global information flow when retrieving only contextual cues. Moreover, frontal centrality and network density were predictive of subsequent memory accuracy. These findings demonstrate that memory reactivation extends beyond cue presentation into post-retrieval rest, leaving identifiable oscillatory and topological signatures that influence memory persistence. Our results underscore the crucial role of frontal network dynamics and beta-band activity in facilitating long-term memory.
- organism: human
- assay: electronic health records
- research focus: differential expression
- approach: statistical model
- Citations
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