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Illuminating brain's "dark energy": a living lens of spontaneous slow oscillations. reply to comments on 'dark brain energy: toward an integrative model of spontaneous slow oscillations'.

Zhu-Qing Gong, Xi-Nian Zuo

Physics of life reviews January 21, 2026 DOI: 10.1016/j.plrev.2026.01.007 via PubMed

Summary

AI-generated from the abstract

Spontaneous slow oscillations (SSOs) across six frequency bands have a three-layer hierarchical structure that links spectral architecture to functional roles and neurocognitive processes. Commentaries from diverse fields highlight five key themes: how SSOs relate to consciousness, their geometric foundations, evolutionary and metabolic mechanisms, mathematical modeling of traveling waves that generate SSOs, and implications for brain-inspired intelligence. Integrating these perspectives refines the original model and points toward future research directions.

Study at a glance

Characteristics Theoretical or philosophical paper Peer reviewed
Keywords Sso Brain hierarchy Consciousness Neural eigenmodes Predictive coding
Citations 3
Key finding Spontaneous slow oscillations across six frequency bands form a three-layer hierarchical framework that can be refined by integrating perspectives on consciousness, geometry, evolution, traveling waves, and brain-inspired intelligence.

Abstract

In our target article "Dark Brain Energy: Toward an Integrative Model of Spontaneous Slow Oscillations", we proposed a three-layer hierarchical framework to model the spontaneous slow oscillations (SSOs) across six frequency bands to delineate their spectral architecture, functional roles, and neurocognitive basis. We are grateful for the seven insightful commentary articles from colleagues across neuroscience, physics, mathematics, psychology and clinics, which collectively enrich our framework. In this review, we address five key themes emerging from and inspired by these commentaries: (1) the relationship between SSOs and consciousness, (2) the geometric foundations of SSOs, (3) evolutionary, developmental, and metabolic mechanisms of SSOs, (4) mathematical modeling of traveling waves underlying SSOs, and (5) neuroscientific implications for brain-inspired intelligence. We finally integrate these perspectives to refine our original model and outline future research directions.

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