The Neural Resilience Network Model (NRNM): A Systems Neuroscience Framework Integrating Trauma, Neuroplasticity, Cognitive Functioning, and Behavioral Health Outcomes

The Neural Resilience Network Model (NRNM) is a conceptual systems neuroscience framework that integrates evidence from trauma neuroscience, cognitive neuropsychology, functional brain connectivity, and neuroplasticity to explain resilience and behavioral health outcomes. Rather than conceptualizing resilience as a fixed individual trait, the NRNM proposes that adaptive functioning emerges through dynamic interactions among environmental experiences, large-scale brain networks, executive cognitive functioning, and neuroplastic mechanisms. The framework synthesizes research involving the Default Mode Network (DMN), Salience Network (SN), and Executive Control Network (ECN), highlighting how alterations in network organization may influence emotional regulation, psychopathology severity, treatment engagement, and long-term recovery. The manuscript further introduces a proposed meta-analytic framework intended to guide future empirical investigations and facilitate translation into precision psychiatry, trauma-informed care, and personalized behavioral health interventions. This work is intended as a theoretical and translational contribution designed to stimulate interdisciplinary research at the intersection of systems neuroscience, clinical psychology, neuropsychology, and behavioral health.