The Bio-Dao Code: A Systems-Level Framework for Neurological Aging, Functional Decline and Recovery
DOI:
https://doi.org/10.47363/JNRRR/2026(8)246Keywords:
Neurological Aging, Systems Neurology, EEG Biomarkers, Sleep and Glymphatic Function, Neural Networks, Chronic Neurological DiseaseAbstract
Despite substantial advances in acute neurological care, the prevalence of chronic neurological disorders, age-associated functional decline, and long-term disability continues to rise. This discrepancy suggests not merely a therapeutic gap, but a conceptual limitation in prevailing neurological paradigms, which remain largely organ- and disease-centered. In this review, we introduce the Bio-Dao Code, a systems-level interpretive framework that conceptualizes neurological aging and chronic disease as state-dependent processes governed by repair capacity, systemic dissipation, and network-level coherence. Rather than proposing a therapeutic intervention, the Bio-Dao Code integrates insights from electrophysiology, network neuroscience, and sleep biology to provide a unifying structure for interpreting long-term neurological trajectories. We outline a four-layer life-system model, describe five governing principles relevant to neurological sustainability, and discuss implications for research design, longitudinal biomarkers, and ethical decision-making in neurology. This framework is intended to support hypothesis generation and scholarly dialogue rather than clinical prescription.