Can circular inference relate the ...
Document type :
Article dans une revue scientifique
PMID :
Permalink :
Title :
Can circular inference relate the neuropathological and behavioral aspects of schizophrenia?
Author(s) :
Leptourgos, Pantelis [Auteur]
Laboratoire Sciences Cognitives et Sciences Affectives - UMR 9193 [SCALab]
Denève, Sophie [Auteur]
Jardri, Renaud [Auteur]
Sciences Cognitives et Sciences Affectives (SCALab) - UMR 9193
Laboratoire Sciences Cognitives et Sciences Affectives - UMR 9193 [SCALab]
Laboratoire Sciences Cognitives et Sciences Affectives - UMR 9193 [SCALab]
Denève, Sophie [Auteur]
Jardri, Renaud [Auteur]
Sciences Cognitives et Sciences Affectives (SCALab) - UMR 9193
Laboratoire Sciences Cognitives et Sciences Affectives - UMR 9193 [SCALab]
Journal title :
Current Opinion in Neurobiology
Abbreviated title :
Curr. Opin. Neurobiol.
Volume number :
46
Pages :
154-161
Publication date :
2017-10
ISSN :
1873-6882
HAL domain(s) :
Sciences du Vivant [q-bio]/Neurosciences [q-bio.NC]/Sciences cognitives
English abstract : [en]
Schizophrenia is a complex and heterogeneous mental disorder, and researchers have only recently begun to understand its neuropathology. However, since the time of Kraepelin and Bleuler, much information has been accumulated ...
Show more >Schizophrenia is a complex and heterogeneous mental disorder, and researchers have only recently begun to understand its neuropathology. However, since the time of Kraepelin and Bleuler, much information has been accumulated regarding the behavioral abnormalities usually encountered in patients suffering from schizophrenia. Despite recent progress, how the latter are caused by the former is still debated. Here, we argue that circular inference, a computational framework proposed as a potential explanation for various schizophrenia symptoms, could help end this debate. Based on Marr's three levels of analysis, we discuss how impairments in local and more global neural circuits could generate aberrant beliefs, with far-ranging consequences from probabilistic decision making to high-level visual perception in conditions of ambiguity. Interestingly, the circular inference framework appears to be compatible with a variety of pathophysiological theories of schizophrenia while simulating the behavioral symptoms.Show less >
Show more >Schizophrenia is a complex and heterogeneous mental disorder, and researchers have only recently begun to understand its neuropathology. However, since the time of Kraepelin and Bleuler, much information has been accumulated regarding the behavioral abnormalities usually encountered in patients suffering from schizophrenia. Despite recent progress, how the latter are caused by the former is still debated. Here, we argue that circular inference, a computational framework proposed as a potential explanation for various schizophrenia symptoms, could help end this debate. Based on Marr's three levels of analysis, we discuss how impairments in local and more global neural circuits could generate aberrant beliefs, with far-ranging consequences from probabilistic decision making to high-level visual perception in conditions of ambiguity. Interestingly, the circular inference framework appears to be compatible with a variety of pathophysiological theories of schizophrenia while simulating the behavioral symptoms.Show less >
Language :
Anglais
Audience :
Non spécifiée
Administrative institution(s) :
Université de Lille
CNRS
CHU Lille
CNRS
CHU Lille
Research team(s) :
Équipe Psychiatrie & Croyance (PsyCHIC)
Submission date :
2019-02-13T14:17:49Z
2019-11-26T16:27:24Z
2019-11-26T16:27:24Z