TITLE:
Beyond Mourning: Biological Spectrum Theory of Grief Coherence (BST-GC) and the Multiscale Reorganization of Living Systems after Loss
AUTHORS:
Abdullah Alabdulgader
KEYWORDS:
Biological Spectrum Theory of Grief Coherence (BST-GC), Heart-Based Resonant Field Theory (HBRF), Comparative Thanatology, Social Neurocardiology, Network Coherence Collapse, Nonlinear Dynamical Systems, Physiological Synchronization, Heart Rate Variability, Complex Adaptive Systems, Multiscale Biological Coherence
JOURNAL NAME:
Open Journal of Psychiatry,
Vol.16 No.4,
October
12,
2026
ABSTRACT: Mourning-like behaviors documented across socially complex species, including elephants, primates, and corvids, are remarkably structured, coordinated, and temporally extended, yet their underlying biological mechanisms remain incompletely understood. Existing explanations emphasize emotional attachment, stress responses, vigilance, or social cognition but do not fully account for the collective physiological reorganization that follows the loss of a socially integrated individual. This theoretical and hypothesis-generating manuscript introduces the Network Coherence Collapse (NCC) hypothesis within the Heart-Based Resonant Field (HBRF) framework and extends it into the Biological Spectrum Theory of Grief Coherence (BST-GC), a multiscale systems framework of biological adaptation following irreversible loss. Social organisms are conceptualized as weakly coupled nonlinear oscillatory networks in which sustained interaction promotes partial physiological synchronization. Biological death is proposed to represent the extinction of an active coherence generating node rather than the persistence of postmortem signaling, producing transient phase dispersion, increased entropy, disruption of network synchronization, and progressive attractor reorganization among surviving organisms. Mourning associated behaviors, including aggregation, circling, guarding, immobility, vocal modulation, and recurrent visitation, are consequently interpreted as adaptive network level processes that facilitate autonomic recoupling and restoration of coherence. BST-GC further proposes that these responses reflect redistribution of biological organization across nested domains spanning cellular, physiological, organismal, social, and ecological scales. BST-GC is proposed as a comparative framework for socially complex vertebrates, with mammalian physiology providing its principal mechanistic foundation and corvids serving as a phylogenetically distinct avian model for testing whether analogous network-level responses to social loss occur across divergent vertebrate systems. The framework remains explicitly constrained by established electrophysiology, nonlinear dynamical systems theory, thermodynamic irreversibility, and classical electromagnetic principles, rejecting postmortem field persistence or metaphysical continuity. By generating quantitative, falsifiable predictions concerning synchronization dynamics, entropy trajectories, network topology, and recovery following node removal, BST-GC establishes a testable systems framework that reframes grief as a measurable process of multiscale biological reorganization rather than solely an emotional or behavioral phenomenon.