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Reality stabilization: a unified framework for psychosis and post-psychotic depression

Georgi Panov, Presiyana Panova

Frontiers in Psychology October 14, 2026 DOI: 10.3389/fpsyg.2026.1805102 (opens in new tab)

Study at a glance

AI-extracted from the abstract
Characteristics Theoretical or philosophical paper Longitudinal Peer reviewed
Topics Depression
Key points Proposes a "reality stabilization" framework in which psychosis reflects a failure of neurocognitive decoherence (competing states not reduced to one coherent reality) and post-psychotic depression reflects compensatory hyperstabilization (a rigid, negatively valenced reality possibly mediated by altered DMN activity). Argues effective intervention should move beyond dopaminergic blockade toward strategies promoting adaptive network coherence and cognitive integration, while acknowledging the model is hypothetical and empirical evidence is limited.

Abstract

Both quantum mechanics and cognitive neuroscience challenge the classical view of a passively perceived reality. Instead, they suggest that reality arises through a process of selection and stabilization from a field of possibilities. This article proposes that this “reality stabilization” framework can unify our understanding of psychosis and post-psychotic depression—two conditions that are currently studied as distinct phenomena, and which existing models of predictive coding, dopaminergic dysregulation, and network neuroscience rarely integrate into a single account. We conceptualize psychosis as a failure of neurocognitive decoherence, in which competing perceptual and interpretative states cannot be reduced to a single, coherent reality. Post-psychotic depression, in contrast, is framed as a compensatory hyperstabilization, in which a rigid, negatively valenced reality is restored, possibly mediated by altered DMN activity. The framework suggests that effective intervention must move beyond dopaminergic blockade to include strategies that promote adaptive network coherence and cognitive integration. The model remains hypothetical, and direct empirical evidence for decoherence-like processes, network changes, and the proposed temporal progression is limited. Future work should focus on empirical testing of stabilization and hyperstabilization mechanisms, longitudinal assessment across illness stages, and their possible therapeutic relevance.

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