Event Abstract

Fingerprinting the sleep-related memory processing in EEG spectra

  • 1 University of Split , Department of Neuroscience, Netherlands

Aim:The aim of the study was to identify changes in the all-night EEG spectra which are specific for procedural and/or declarative sleep-related memory processing, while minimizing the effect of individual differences.

Methods: Twenty one healthy male subjects were recorded in the sleep laboratory with Alice 4 polysomnographic (PSG) system. Each subject was screened for four nights: a) adaptation, b) control, and c-d) pre-sleep-task nights during which subject had performed either declarative or procedural task. The order of nights b-d was randomized. Recall performance was tested in the morning after the sleep. PSG data processing steps included visual sleep stage scoring and artefact removal. In each recording, mean log spectrum was estimated with Welch's periodogram for each (electrode derivation, sleep stage) pair. Linear regression (a0=0, a1) and correlation coefficients were used to estimate the direction and compliance of power density (PD) change in separate frequency bins.

Results: Total sleep time as well as time spent in different sleep stages did not differ among nights b-d (one-way ANOVA, p>0,05). However, mean log spectra have revealed distinctive differences. When spectra were analysed with regression coefficients, a drop of PD relatively to the control night was evident throughout different derivations and stages, either in "procedural" or "declarative"spectra. The mildest drop was seen in the low frequency spectra (δ and τ band) where "declarative" spectra slightly decreased and there were no change in "procedural" spectra relative to the control. Within σ band, the largest drop was detected, again for all derivations and stages. Position of this maximal drop was located at frontal positions at 12 Hz in REM and 14 Hz in non-REM stages, while for other derivations more complex patterns of local minima were observed. The highest correlation coefficients - indicating smaller interindividual differences were observed in S2 stage in: α and low frequency σ band and >16 Hz β range.

Conclusion: The results indicate that although experimental procedures did not significantly alter the sleep architecture, clear cut differences were found between control night and "procedural" or "declarative"night. These changes were consistent between different derivations.

Conference: NeuroMath COST Action BM0601: Neurodynamic Insight into Functional Connectivity, Cognition, and Consciousness, Dubrovnik, Croatia, 27 Mar - 28 Mar, 2010.

Presentation Type: Oral Presentation

Topic: Talks

Citation: Jeroncic A and Dogas Z (2010). Fingerprinting the sleep-related memory processing in EEG spectra. Front. Neurosci. Conference Abstract: NeuroMath COST Action BM0601: Neurodynamic Insight into Functional Connectivity, Cognition, and Consciousness. doi: 10.3389/conf.fnins.2010.05.00012

Copyright: The abstracts in this collection have not been subject to any Frontiers peer review or checks, and are not endorsed by Frontiers. They are made available through the Frontiers publishing platform as a service to conference organizers and presenters.

The copyright in the individual abstracts is owned by the author of each abstract or his/her employer unless otherwise stated.

Each abstract, as well as the collection of abstracts, are published under a Creative Commons CC-BY 4.0 (attribution) licence (https://creativecommons.org/licenses/by/4.0/) and may thus be reproduced, translated, adapted and be the subject of derivative works provided the authors and Frontiers are attributed.

For Frontiers’ terms and conditions please see https://www.frontiersin.org/legal/terms-and-conditions.

Received: 24 Jul 2010; Published Online: 24 Jul 2010.

* Correspondence: Ana Jeroncic, University of Split, Department of Neuroscience, Spilt, Netherlands, ajeronci@mefst.hr

© 2007 - 2020 Frontiers Media S.A. All Rights Reserved