期刊论文详细信息
NEUROSCIENCE AND BIOBEHAVIORAL REVIEWS 卷:90
Interoceptive inference: From computational neuroscience to clinic
Review
Owens, Andrew P.1,2,3  Allen, Micah4,5  Ondobaka, Sasha5,6  Friston, Karl J.4 
[1] Royal Holloway Univ London, Dept Psychol, Lab Act & Body, Egham TW20 0EXU, Surrey, England
[2] UCL, Inst Neurol, Dept Brain Repair & Rehabil, London, England
[3] UCL NHS Trust, Natl Hosp Neurol & Neurosurg, Auton Unit, London, England
[4] UCL, Wellcome Trust Ctr Neuroimaging, London, England
[5] UCL, Inst Cognit Neurosci, London, England
[6] UCL, Sobell Dept Motor Neurosci & Movement Disorders, London, England
关键词: Active inference;    Autonomic nervous system;    Free-energy principle;    Homeostasis;    Interoception;    Interoceptive inference;    Predictive coding;   
DOI  :  10.1016/j.neubiorev.2018.04.017
来源: Elsevier
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【 摘 要 】

The central and autonomic nervous systems can be defined by their anatomical, functional and neurochemical characteristics, but neither functions in isolation. For example, fundamental components of autonomically mediated homeostatic processes are afferent interoceptive signals reporting the internal state of the body and efferent signals acting on interoceptive feedback assimilated by the brain. Recent predictive coding (interoceptive inference) models formulate interoception in terms of embodied predictive processes that support emotion and selfhood. We propose interoception may serve as a way to investigate holistic nervous system function and dysfunction in disorders of brain, body and behaviour. We appeal to predictive coding and (active) interoceptive inference, to describe the homeostatic functions of the central and autonomic nervous systems. We do so by (i) reviewing the active inference formulation of interoceptive and autonomic function, (ii) survey clinical applications of this formulation and (iii) describe how it offers an integrative approach to human physiology; particularly, interactions between the central and peripheral nervous systems in health and disease.

【 授权许可】

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