title: A predictive coding account of MMN reduction in schizophrenia.
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.
authors.affiliation: 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.
authors.forename: Catherine
authors.initials: C
authors.lastname: Wacongne
mesh_terms: D000161:Acoustic Stimulation / Q000379:methods; D001303:Auditory Cortex / Q000502:physiology; D005072:Evoked Potentials, Auditory / Q000502:physiology*; D006801:Humans; D016571:Neural Networks, Computer; D016194:Receptors, N-Methyl-D-Aspartate / Q000378:metabolism*; D012559:Schizophrenia / Q000503:physiopathology*
chemical_list: D016194:Receptors, N-Methyl-D-Aspartate
keywords: Mismatch negativity; NMDA; Neuronal model; Predictive coding; Schizophrenia