Aberrant Salience, Information Processing, and Dopaminergic Signaling in People at Clinical High Risk for Psychosis

被引:57
|
作者
Howes, Oliver D. [1 ,2 ,3 ,4 ]
Hird, Emily J. [1 ,2 ]
Adams, Rick A. [5 ,6 ]
Corlett, Philip R. [7 ]
McGuire, Philip [1 ,2 ]
机构
[1] Kings Coll London, Dept Psychosis Studies, Inst Psychiat Psychol & Neurosci, London, England
[2] South London & Maudsley Natl Hlth Serv Fdn Trust, Natl Inst Hlth Res Biomed Res Ctr, London, England
[3] Hammersmith Hosp, Med Res Council, London Inst Med Sci, London, England
[4] Imperial Coll London, Inst Clin Sci, Fac Med, London, England
[5] UCL, Dept Comp Sci, Ctr Med Image Comp, London, England
[6] Max Planck Univ Coll London, Ctr Computat Psychiat & Ageing Res, London, England
[7] Yale Sch Med, Dept Psychiat, New Haven, CT USA
基金
英国工程与自然科学研究理事会; 英国惠康基金; 英国医学研究理事会;
关键词
Computational psychiatry; Imaging; Prodrome; Psychosis; Risk; Schizophrenia; VENTRAL STRIATAL ACTIVATION; ULTRA-HIGH RISK; CORTISOL AWAKENING RESPONSE; PREDICTION-ERROR SIGNAL; REWARD PREDICTION; SCHIZOPHRENIA-PATIENTS; SYNTHESIS CAPACITY; PRODROMAL SIGNS; BASE-LINE; STRESS;
D O I
10.1016/j.biopsych.2020.03.012
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
The aberrant salience hypothesis proposes that striatal dopamine dysregulation causes misattribution of salience to irrelevant stimuli leading to psychosis. Recently, new lines of preclinical evidence on information coding by subcortical dopamine coupled with computational models of the brain's ability to predict and make inferences about the world (predictive processing) provide a new perspective on this hypothesis. We review these and summarize the evidence for dopamine dysfunction, reward processing, and salience abnormalities in people at clinical high risk of psychosis (CHR) relative to findings in patients with psychosis. This review identifies consistent evidence for dys-regulated subcortical dopamine function in people at CHR, but also indicates a number of areas where neurobio-logical processes are different in CHR subjects relative to patients with psychosis, particularly in reward processing. We then consider how predictive processing models may explain psychotic symptoms in terms of alterations in prediction error and precision signaling using Bayesian approaches. We also review the potential role of environ-mental risk factors, particularly early adverse life experiences, in influencing the prior expectations that individuals have about their world in terms of computational models of the progression from being at CHR to frank psychosis. We identify a number of key outstanding questions, including the relative roles of prediction error or precision signaling in the development of symptoms and the mechanism underlying dopamine dysfunction. Finally, we discuss how the integration of computational psychiatry with biological investigation may inform the treatment for people at CHR of psychosis.
引用
收藏
页码:304 / 314
页数:11
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