Hierarchical-Circular Model of Biological Memory: an integrative framework for pathogenesis and allostasis in neurodevelopmental disorders

Introduction Predominant linear and brain-centric models inadequately explain the marked clinical heterogeneity and systemic origins of neurodevelopmental disorders (NDDs). A transformative, integrative framework is needed to capture their complex, non-linear pathogenesis. Methods We propose a novel theoretical hypothesis—the Hierarchical-Circular Model of Biological Memory—developed through a critical synthesis of multidisciplinary evidence. Organized around the core principle “Signal → Plasticity → Stable State,” the model integrates five interacting levels: (1) morphogenetic/genetic, (2) epigenetic, (3) allostatic, (4) the psychoneuroendocrine-immune (PNEI) network, and (5) the interoceptive-neuronal level. Results The framework posits that NDDs emerge from disrupted circular causality within biological adaptation systems. Early adverse signals (e.g., genetic risk, prenatal stress) become embedded via epigenetic programming and propagate bidirectionally, establishing a pathological stable state. This state is characterized by high allostatic load, PNEI network dysregulation, and a collapse of predictive interoceptive integration in the brain. The model introduces the constructs of “allostatic integrity” and “circular reserve” to explain individual differences in phenotypic expression and resilience. Discussion and conclusion This model provides a falsifiable, systems-based paradigm that moves beyond descriptive synthesis. It generates specific predictions: (1) multi-level biomarker dyssynchrony will outperform single-level measures in prognostic stratification, and (2) interventions simultaneously targeting multiple system levels will be most effective. By bridging gene-environment interactions with brain network dysfunction, the framework guides future research toward multi-level biomarker discovery, personalized prevention, and multidimensional interventions, fundamentally redefining NDDs as disorders of circular biological adaptation.

Authors

Institutions

Publication Details

Journal
Frontiers in Behavioral Neuroscience
Published
2026-03-23
DOI
https://doi.org/10.3389/fnbeh.2026.1779059
Primary Topic
Autism Spectrum Disorder Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Hierarchical-Circular Model of Biological Memory: an integrative framework for pathogenesis and allostasis in neurodevelopmental disorders

Samuel Ruesga Mundo
Frontiers in Behavioral Neuroscience
Autism Spectrum Disorder Research
article

Hierarchical-Circular Model of Biological Memory: an integrative framework for pathogenesis and allostasis in neurodevelopmental disorders

Samuel Ruesga Mundo
article en

Abstract

Introduction Predominant linear and brain-centric models inadequately explain the marked clinical heterogeneity and systemic origins of neurodevelopmental disorders (NDDs). A transformative, integrative framework is needed to capture their complex, non-linear pathogenesis. Methods We propose a novel theoretical hypothesis—the Hierarchical-Circular Model of Biological Memory—developed through a critical synthesis of multidisciplinary evidence. Organized around the core principle “Signal → Plasticity → Stable State,” the model integrates five interacting levels: (1) morphogenetic/genetic, (2) epigenetic, (3) allostatic, (4) the psychoneuroendocrine-immune (PNEI) network, and (5) the interoceptive-neuronal level. Results The framework posits that NDDs emerge from disrupted circular causality within biological adaptation systems. Early adverse signals (e.g., genetic risk, prenatal stress) become embedded via epigenetic programming and propagate bidirectionally, establishing a pathological stable state. This state is characterized by high allostatic load, PNEI network dysregulation, and a collapse of predictive interoceptive integration in the brain. The model introduces the constructs of “allostatic integrity” and “circular reserve” to explain individual differences in phenotypic expression and resilience. Discussion and conclusion This model provides a falsifiable, systems-based paradigm that moves beyond descriptive synthesis. It generates specific predictions: (1) multi-level biomarker dyssynchrony will outperform single-level measures in prognostic stratification, and (2) interventions simultaneously targeting multiple system levels will be most effective. By bridging gene-environment interactions with brain network dysfunction, the framework guides future research toward multi-level biomarker discovery, personalized prevention, and multidimensional interventions, fundamentally redefining NDDs as disorders of circular biological adaptation.

Frontiers in Behavioral NeuroscienceVol. 20
Mexican Social Security Institute (MX)
Openalex Percentile: Top 15%
Autism Spectrum Disorder Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.