Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8655, Japan; International Research Center for Neurointelligence (WPI-IRCN), UTIAS, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8654, Japan.
Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8655, Japan.
Int J Psychophysiol. 2019 Nov;145:5-14. doi: 10.1016/j.ijpsycho.2019.02.009. Epub 2019 Mar 1.
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.
失匹配负波(MMN)减少是精神分裂症患者多项神经生理和神经认知测量中最可靠的发现之一。MMN 是精神分裂症有前途的生物标志物,原因如下:1)它与早期精神病的关系,包括临床高风险(CHR);2)它与患者功能能力的关系;3)它在使用动物模型的基础研究中的可翻译性。具体来说,不需要受试者做出行为反应的被动听觉Oddball 范式的实用性使实验动物和患者都能获得相同的生理活动。这一优势有助于在各种动物研究中阐明 MMN 的产生机制。我们回顾了专注于早期精神病的临床报告;具体而言,偏差类型的差异效应以及与临床和功能结果的关系。对于 MMN 作为转化研究工具的实用性,我们接下来回顾了啮齿动物和非人类灵长类动物(NHP)的最近 MMN 研究,以及使用人类颅内记录的研究,这是在人类体内检测神经信号的罕见机会。MMN 产生机制的理解是 MMN 的神经计算,例如适应、偏差检测和预测编码,最近的主题。最后,提出了几个重要的研究问题,以供未来方向参考。MMN 研究可以通过成为基础研究和临床研究之间的桥梁,为未来创新、新颖的治疗策略做出贡献。