https://doi.org/10.1140/epjs/s11734-026-02309-8
Regular Article
Aging effects on the dynamic network interactions of cortical rhythms during different sleep stages: evidence from a network theory-based approach
1
Saratov State University, Astrakhanskaya Str. 83, 410012, Saratov, Russia
2
Research Institute of Applied Artificial Intelligence and Digital Solution, Plekhanov Russian University of Economics, Stremyanny per. 36, 117997, Moscow, Russia
a
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Received:
7
March
2026
Accepted:
3
April
2026
Published online:
9
April
2026
Abstract
The limitations of analyzing physiological states based solely on dominant rhythms or isolated pairwise interactions have become increasingly apparent. In response, a novel conceptual framework grounded in complex network theory has recently been developed. Rather than dismissing traditional views, this approach enriches them by elucidating the cooperative dynamics of brain rhythms, thereby enhancing diagnostic capabilities. Adopting this framework, the present study investigates age-related features of such interactions across the entire sleep–wake cycle. It identifies the most significant changes occurring within each phase and demonstrates that advancing age is associated with distinct and progressive alterations in cortical correlations.
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© The Author(s), under exclusive licence to EDP Sciences, Springer-Verlag GmbH Germany, part of Springer Nature 2026
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
