Network Regulatory Disorders (NRD): A Nosological Framework for Persistent Maladaptive System States in Unexplained Chronic Conditions

Chronic conditions such as ME/CFS, fibromyalgia, Long COVID, IBS, and POTS have long been classified separately — by symptom cluster, organ system, or specialty. This paper argues that a structurally distinct class of these conditions shares a common property that existing frameworks have failed to capture: they are persistent, self-sustaining states of dysregulated physiological network regulation, maintained by internal feedback dynamics rather than by ongoing structural pathology. Network Regulatory Disorders (NRD) is introduced as a formal nosological framework for this class. Rather than adding a new diagnostic label, NRD proposes a different classificatory logic — one grounded in dynamic system properties, in which the primary diagnostic object is regulatory configuration rather than symptom cluster. The framework includes a four-regime subclass taxonomy, a diagnostic instrument for characterizing individual system state, and an intervention logic derived directly from the underlying model. NRD is positioned as a biomedical alternative to "medically unexplained symptoms" and related constructs — including the Dutch institutional categories SOLK and ALK — for conditions in which the primary pathology is dysregulated network state rather than structural lesion or disorder of central representation.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-05-17
DOI
https://doi.org/10.5281/zenodo.19572042
Primary Topic
Mental Health Research Topics
Type
preprint
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preprint

Network Regulatory Disorders (NRD): A Nosological Framework for Persistent Maladaptive System States in Unexplained Chronic Conditions

Erik Eshuis
Zenodo (CERN European Organization for Nuclear Research)
Mental Health Research Topics
preprint

Network Regulatory Disorders (NRD): A Nosological Framework for Persistent Maladaptive System States in Unexplained Chronic Conditions

Erik Eshuis
preprint en

Abstract

Chronic conditions such as ME/CFS, fibromyalgia, Long COVID, IBS, and POTS have long been classified separately — by symptom cluster, organ system, or specialty. This paper argues that a structurally distinct class of these conditions shares a common property that existing frameworks have failed to capture: they are persistent, self-sustaining states of dysregulated physiological network regulation, maintained by internal feedback dynamics rather than by ongoing structural pathology. Network Regulatory Disorders (NRD) is introduced as a formal nosological framework for this class. Rather than adding a new diagnostic label, NRD proposes a different classificatory logic — one grounded in dynamic system properties, in which the primary diagnostic object is regulatory configuration rather than symptom cluster. The framework includes a four-regime subclass taxonomy, a diagnostic instrument for characterizing individual system state, and an intervention logic derived directly from the underlying model. NRD is positioned as a biomedical alternative to "medically unexplained symptoms" and related constructs — including the Dutch institutional categories SOLK and ALK — for conditions in which the primary pathology is dysregulated network state rather than structural lesion or disorder of central representation.

Zenodo (CERN European Organization for Nuclear Research)
Good health and well-being
Mental Health Research Topics
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