Meaning as Temporal Integration: A Neurocognitive Extension of the Resonance-Inference Model via the Spiritual Self-Pattern

Contemporary psychotherapy faces a profound paradox: while empirical evidence confirms the clinical significance of spirituality for resilience, established theoretical frameworks often lack a process-based mechanism to integrate this dimension beyond narrative content or cultural coping. This article addresses this gap by introducing a "spiritual self-pattern" into the Resonance-Inference Model (RIM), conceptualizing it not as a metaphysical construct, but as a fundamental neurocognitive imperative for biological self-organization.Drawing on the Free Energy Principle and spatiotemporal neuroscience, we define the spiritual self-pattern as the system’s highest-order regulator, instantiated within the brain’s slowest Intrinsic Neural Timescales (INTs). These deep temporal structures function as "long-term priors," integrating sensory and emotional data over vast durations—akin to the psychic "climate" that contextualizes the "weather" of momentary affect. We posit that this pattern maintains mental health by modulating the E-I balance (Excitatory-Inhibitory criticality) between predictive confidence (elation) and corrective sensitivity (anxiety) via top-down precision weighting.Within this framework, "meaning" is redefined as the successful integration of sensory chaos into these long-term temporal models, preserving the functional integrity of consciousness against existential entropy. We distinguish spiritual resonance—a state of "Bayesian binding" characterized by metastable synchronization—from spiritual dissonance, where pathological precision leads to the "frozen priors" seen in fanaticism or the systemic collapse of existential despair. By shifting the focus to mechanisms of temporal integration, this model offers a precise grammar for spiritually integrated psychotherapy, framing the therapist as a "criticality manager" dedicated to restoring the client's capacity for global self-organization.