Neural Circuit Synchronization and Self-Integration: A Hypothesis on CAISC Transition Dynamics

AbstractBackground:Conventional psychiatric frameworks insufficiently address the neurophysiological mechanisms underlying stable self-integration. Altered states of consciousness (ASC) have been explored in various therapeutic or meditative contexts, but a circuit-level model for natural, sustainable consciousness stabilization remains lacking.Objective:This study proposes the CAISC (Consciousness Anchored in an Integrated Stable State) model as a multidisciplinary theoretical framework for consciousness stabilization. It aims to identify neurofunctional signatures—particularly in alpha, theta, and gamma rhythmic coherence—that underlie the transition from ASC to a structurally integrated state.Methods:The model synthesizes observational and theoretical data from neuropsychology, psychiatry, and systems neuroscience. It focuses on individuals characterized by high emotional and cognitive sensitivity (HSP-E/C), strong self-exploration motivation (HSED), and active neurological self-exploration (NSE). Proposed measurement indices include QEEG-based circuit coherence, autonomic nervous system modulation via HRV, and the Brain Functional Parallel Activity Area Ratio (B-PARA) as a functional integration marker.Results:The model outlines a phased progression from ASC to CAISC, defined by stabilized alpha–theta–gamma rhythms, reduction in phase lag variability, and enhanced emotional–cognitive–somatic synchrony. These shifts correspond with increased parasympathetic activity and improved integrative self-awareness, forming the basis for the proposed Holistic Neuroplasticity hypothesis.Conclusions:The CAISC framework introduces a neurophysiologically grounded pathway for consciousness integration, potentially enabling circuit-level remediation of functional psychiatric symptoms. Empirical validation using multimodal longitudinal designs is required to confirm the clinical applicability of this model.