Literature DB >> 30831138

Mismatch negativity (MMN) as a tool for translational investigations into early psychosis: A review.

Mariko Tada1, Kenji Kirihara2, Shunsuke Mizutani3, Takanori Uka4, Naoto Kunii5, Daisuke Koshiyama2, Mao Fujioka2, Kaori Usui2, Tatsuya Nagai2, Tsuyoshi Araki2, Kiyoto Kasai6.   

Abstract

Mismatch negativity (MMN) reduction is one of the most robust findings among several neurophysiological and neurocognitive measures in patients with schizophrenia. MMN is a promising biomarker for schizophrenia because of the following properties: 1) its relationship with early psychosis, including clinical high-risk (CHR); 2) its relationship with the functional abilities of patients; and 3) its translatability into basic research using animal models. Specifically, the utility of the passive auditory oddball paradigm that does not require subjects to make behavioral responses enables identical physiological activities to be obtained from both experimental animals and patients. This advantage has contributed to clarifying the generating mechanism of MMN in various animal studies. We reviewed clinical reports focused on early psychosis; specifically differential effects of deviance type and relationships to clinical and functional outcome. For the utility of MMN as a tool for translational research, we next reviewed recent MMN studies in rodents and nonhuman primates (NHP) as well as studies using intracranial recordings in humans, a rare opportunity to detect neural signals in vivo in humans. Neural computations of MMN, such as adaptation, deviance detection, and predictive coding, have been recent topics for understanding MMN generating mechanisms. Finally, several significant research questions were provided for future directions. MMN research could contribute to innovative, novel, therapeutic strategies in the future by becoming a bridge between basic and clinical research.
Copyright © 2019 The Authors. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Animal-model; Electroencephalogram (EEG); Intracranial EEG (iEEG); MMN; Nonhuman primate (NHP); Schizophrenia

Mesh:

Year:  2019        PMID: 30831138     DOI: 10.1016/j.ijpsycho.2019.02.009

Source DB:  PubMed          Journal:  Int J Psychophysiol        ISSN: 0167-8760            Impact factor:   2.997


  12 in total

1.  Native non-prototypicality in vowel perception induces prominent neuromagnetic mismatch intensities in non-native speakers: a pilot study.

Authors:  Mikio Kubota; Junko Matsuzaki; Ippeita Dan; Haruka Dan; George Zouridakis
Journal:  Exp Brain Res       Date:  2021-01-12       Impact factor: 1.972

2.  Mismatch Negativity Predicts Remission and Neurocognitive Function in Individuals at Ultra-High Risk for Psychosis.

Authors:  Mao Fujioka; Kenji Kirihara; Daisuke Koshiyama; Mariko Tada; Tatsuya Nagai; Kaori Usui; Susumu Morita; Shintaro Kawakami; Kentaro Morita; Yoshihiro Satomura; Shinsuke Koike; Motomu Suga; Tsuyoshi Araki; Kiyoto Kasai
Journal:  Front Psychiatry       Date:  2020-08-03       Impact factor: 4.157

3.  Hierarchical Pathways from Sensory Processing to Cognitive, Clinical, and Functional Impairments in Schizophrenia.

Authors:  Daisuke Koshiyama; Michael L Thomas; Makoto Miyakoshi; Yash B Joshi; Juan L Molina; Kumiko Tanaka-Koshiyama; Joyce Sprock; David L Braff; Neal R Swerdlow; Gregory A Light
Journal:  Schizophr Bull       Date:  2021-03-16       Impact factor: 9.306

4.  Sources of the frontocentral mismatch negativity and P3a responses in schizophrenia patients and healthy comparison subjects.

Authors:  Daisuke Koshiyama; Makoto Miyakoshi; Yash B Joshi; Masaki Nakanishi; Kumiko Tanaka-Koshiyama; Joyce Sprock; Gregory A Light
Journal:  Int J Psychophysiol       Date:  2021-01-13       Impact factor: 2.997

5.  Prediction-Related Frontal-Temporal Network for Omission Mismatch Activity in the Macaque Monkey.

Authors:  Yuki Suda; Mariko Tada; Takeshi Matsuo; Keisuke Kawasaki; Takeshi Saigusa; Maho Ishida; Tetsuo Mitsui; Hironori Kumano; Kenji Kirihara; Takafumi Suzuki; Kenji Matsumoto; Isao Hasegawa; Kiyoto Kasai; Takanori Uka
Journal:  Front Psychiatry       Date:  2022-04-26       Impact factor: 5.435

6.  Mismatch negativity as EEG biomarker supporting CNS drug development: a transnosographic and translational study.

Authors:  Simon Loiodice; Wilhelmus H Drinkenburg; Abdallah Ahnaou; Andrew McCarthy; Geoffrey Viardot; Emilie Cayre; Bertrand Rion; Valérie Bertaina-Anglade; Marsel Mano; Philippe L'Hostis; Christophe Drieu La Rochelle; Martien J Kas; Philippe Danjou
Journal:  Transl Psychiatry       Date:  2021-04-29       Impact factor: 6.222

7.  Cortical responses to auditory novelty across task conditions: An intracranial electrophysiology study.

Authors:  Kirill V Nourski; Mitchell Steinschneider; Ariane E Rhone; Bryan M Krause; Hiroto Kawasaki; Matthew I Banks
Journal:  Hear Res       Date:  2020-02-11       Impact factor: 3.208

8.  Transcranial magnetic stimulation as a translational biomarker for AMPA receptor modulation.

Authors:  Patricio O'Donnell; Francis M Dijkstra; Ugur Damar; Lei Quanhong; Annika A de Goede; Lin Xu; Andres Pascual-Leone; Derek L Buhl; Rob Zuiker; Titia Q Ruijs; Jules A A C Heuberger; Paul MacMullin; Martin Lubell; Mahnaz Asgharnejad; Venkatesha Murthy; Alexander Rotenberg; Gabriel E Jacobs; Laura Rosen
Journal:  Transl Psychiatry       Date:  2021-05-27       Impact factor: 6.222

Review 9.  Cortical Microcircuit Mechanisms of Mismatch Negativity and Its Underlying Subcomponents.

Authors:  Jordan M Ross; Jordan P Hamm
Journal:  Front Neural Circuits       Date:  2020-03-31       Impact factor: 3.492

Review 10.  A Predictive Coding Perspective on Mismatch Negativity Impairment in Schizophrenia.

Authors:  Kenji Kirihara; Mariko Tada; Daisuke Koshiyama; Mao Fujioka; Kaori Usui; Tsuyoshi Araki; Kiyoto Kasai
Journal:  Front Psychiatry       Date:  2020-07-08       Impact factor: 4.157

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