Extended network learning error: A new way of conceptualising chronic fatigue syndrome

Abstract

The cause of chronic fatigue syndrome (CFS) is controversial: psychological, hypothalamic and immune mechanisms have been proposed as well as the possibility of some form of interaction between these mechanisms. Patients' own conceptual models vary and sometimes adversely affect self-management. This paper suggests an interactional way of conceptualising CFS using developments in complexity theory (networks, parallel processing or connectionism). I propose that the neurological, immune and endocrine systems are pan of a single, self-regulatory, extended brain-body network. Furthermore, that CFS is caused by self-organisational change in this extended network created by normally adaptive error-sensitive learning rules that malfunction when physiological and psychological challenges coincide. This psychoneuroimniunoendocrinological model shows how previously proposed mechanisms could interact to cause CFS. explains the heterogeneity of the presentation of the disease, and provides a conceptual model that may be acceptable to patients but is also consistent with effective self-management.