Help Privacy Policy Disclaimer
  Advanced SearchBrowse


  Towards a unifying cognitive, neurophysiological, and computational neuroscience account of schizophrenia

Heinz, A., Murray, G. K., Schlagenhauf, F., Sterzer, P., Grace, A. A., & Waltz, J. A. (2019). Towards a unifying cognitive, neurophysiological, and computational neuroscience account of schizophrenia. Schizophrenia Bulletin, 45(5), 1092-1100. doi:10.1093/schbul/sby154.

Item is


show hide
Genre: Journal Article


show Files




Heinz, Andreas1, Author
Murray, Graham K.2, Author
Schlagenhauf, Florian1, 3, Author           
Sterzer, Philipp1, Author
Grace, Anthony A.4, 5, 6, Author
Waltz, James A.7, Author
1Department of Psychiatry and Psychotherapy, Charité University Medicine Berlin, Germany, ou_persistent22              
2Department of Psychiatry, University of Cambridge, United Kingdom, ou_persistent22              
3Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634549              
4Department of Neuroscience, University of Pittsburgh, PA, USA, ou_persistent22              
5Department of Psychiatry, University of Pittsburgh, PA, USA, ou_persistent22              
6Department of Psychology, University of Pittsburgh, PA, USA, ou_persistent22              
7Department of Psychiatry, Maryland Psychiatric Research Center (MPRC), University of Maryland School of Medicine, Baltimore, MD, USA, ou_persistent22              


Free keywords: Schizophrenia; Computational modeling; Dopamine; Reward; Prediction error; Delusions; Hallucinations
 Abstract: Psychotic experiences may be understood as altered information processing due to aberrant neural computations. A prominent example of such neural computations is the computation of prediction errors (PEs), which signal the difference between expected and experienced events. Among other areas showing PE coding, hippocampal-prefrontal-striatal neurocircuits play a prominent role in information processing. Dysregulation of dopaminergic signaling, often secondary to psychosocial stress, is thought to interfere with the processing of biologically important events (such as reward prediction errors) and result in the aberrant attribution of salience to irrelevant sensory stimuli and internal representations. Bayesian hierarchical predictive coding offers a promising framework for the identification of dysfunctional neurocomputational processes and the development of a mechanistic understanding of psychotic experience. According to this framework, mismatches between prior beliefs encoded at higher levels of the cortical hierarchy and lower-level (sensory) information can also be thought of as PEs, with important consequences for belief updating. Low levels of precision in the representation of prior beliefs relative to sensory data, as well as dysfunctional interactions between prior beliefs and sensory data in an ever-changing environment, have been suggested as a general mechanism underlying psychotic experiences. Translating the promise of the Bayesian hierarchical predictive coding into patient benefit will come from integrating this framework with existing knowledge of the etiology and pathophysiology of psychosis, especially regarding hippocampal-prefrontal-striatal network function and neural mechanisms of information processing and belief updating.


Language(s): eng - English
 Dates: 2018-11-022019-09
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1093/schbul/sby154
PMID: 30388260
PMC: PMC6737474
 Degree: -



Legal Case


Project information

show hide
Project name : -
Grant ID : SCHL 1969/1-2 ; SCHL 1969/3-1 ; SCHL 1969/4-1
Funding program : -
Funding organization : German Research Foundation (DFG)
Project name : -
Grant ID : 5R01MH094460 ; MH057440
Funding program : -
Funding organization : National Institutes of Health

Source 1

Title: Schizophrenia Bulletin
  Other : Schizophr. Bull.
Source Genre: Journal
Publ. Info: Rockville, MD : U.S. Dept. of Health, Education and Welfare, Public Health Service, Alcohol, Drug Abuse and Mental Health Administration
Pages: - Volume / Issue: 45 (5) Sequence Number: - Start / End Page: 1092 - 1100 Identifier: ISSN: 0586-7614
CoNE: https://pure.mpg.de/cone/journals/resource/954925532975