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      A predictive coding account of MMN reduction in schizophrenia.

      1

      Biological psychology

      Elsevier BV

      Mismatch negativity, NMDA, Neuronal model, Predictive coding, Schizophrenia

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          Abstract

          The mismatch negativity (MMN) is thought to be an index of the automatic activation of a specialized network for active prediction and deviance detection in the auditory cortex. It is consistently reduced in schizophrenic patients and has received a lot of interest as a clinical and translational tool. The main neuronal hypothesis regarding the mechanisms leading to a reduced MMN in schizophrenic patients is a dysfunction of NMDA receptors (NMDA-R). However, this hypothesis has never been implemented in a neuronal model. In this paper, we examine the consequences of NMDA-R dysfunction in a neuronal model of MMN based on predictive coding principle. I also investigate how predictive processes may interact with synaptic adaptation in MMN generations and examine the consequences of this interaction for the use of MMN paradigms in schizophrenia research.

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          Author and article information

          Journal
          Biol Psychol
          Biological psychology
          Elsevier BV
          1873-6246
          0301-0511
          Apr 2016
          : 116
          Affiliations
          [1 ] INSERM, U992, Cognitive Neuroimaging Unit, F-91191 Gif/Yvette, France; CEA, DSV/I2BM, NeuroSpin Center, F-91191 Gif/Yvette, France; University Paris 11, Orsay, France; Collège de France, F-75005 Paris, France; Netherlands Institute of Neuroscience, Amsterdam, Netherlands. Electronic address: Catherine.waco@gmail.com.
          Article
          S0301-0511(15)30072-7
          10.1016/j.biopsycho.2015.10.011
          26582536

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