Authors
Caio Amaral Gabriel
Published in
Psychophysiology. Volume 63. Issue 11.
Abstract
Conventional autonomic metrics primarily quantify fluctuation magnitude while remaining relatively insensitive to the structural organization of underlying physiological dynamics. This limitation contributes to persistent interpretative ambiguities, including the observation that similar patterns of vagal activity may be associated with markedly different physiological and clinical states. To address this conceptual gap, I introduce the Neurodynamic Manifold, a theoretical topological framework that recontextualizes fluctuation magnitude within a multidimensional dynamical space. By integrating fractal scaling (DFA α1), informational irregularity (Sample Entropy), and geometric organization (SD2/SD1), the framework maps autonomic activity onto distinct candidate regulatory regimes. It proposes a quasicritical zone characterized by adaptive complexity and multiscale coordination, alongside hypothesized subcritical and supercritical regimes associated with progressive forms of decomplexification. Within this framework, similar variability magnitudes may emerge from fundamentally different dynamical organizations, highlighting the interpretative limitations of amplitude-based metrics such as RMSSD. Drawing on concepts from clinical physiology, statistical physics, complexity science, and dynamical systems theory, the Neurodynamic Manifold reconceptualizes autonomic regulation as a problem of dynamical organization rather than magnitude alone. If empirically supported, the framework may provide a unified foundation for investigating neurovisceral regulation, adaptive capacity, and physiological resilience across health, dysfunction, and performance.
PMID:
43012504
Bibliographic data and abstract were imported from PubMed on 11 Nov 2026.
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