From the Laboratory to the Real-World: The Role of Mismatch Negativity in Psychosis.

Clinical EEG and neuroscience Pub Date : 2025-01-01 Epub Date: 2024-11-06 DOI:10.1177/15500594241294188
Mariko Tada, Sho Yagishita, Takanori Uka, Ryoichi Nishimura, Taiki Kishigami, Kenji Kirihara, Daisuke Koshiyama, Kaori Usui, Mao Fujioka, Tsuyoshi Araki, Kiyoto Kasai
{"title":"From the Laboratory to the Real-World: The Role of Mismatch Negativity in Psychosis.","authors":"Mariko Tada, Sho Yagishita, Takanori Uka, Ryoichi Nishimura, Taiki Kishigami, Kenji Kirihara, Daisuke Koshiyama, Kaori Usui, Mao Fujioka, Tsuyoshi Araki, Kiyoto Kasai","doi":"10.1177/15500594241294188","DOIUrl":null,"url":null,"abstract":"<p><p>Mismatch negativity (MMN) has gained attention as a biomarker for psychosis and a translational intermediate phenotype in animal models of psychosis, including rodents and non-human primates. MMN has been linked to global functioning (Global Assessment of Functioning [GAF] score) and prognosis (psychosis onset or remission), suggesting that MMN reflects activities beyond auditory processing alone. This review examines the 45-year history of MMN from the perspective of psychiatric researchers and discusses current advances in computational and translational research on MMN, summarizing the current understanding of the MMN generation mechanism. We then address the essential question, \"What do we observe through MMN?\" Currently, we regard the relationship between global functioning in the real world and MMN as the key to answering this question. As a preliminary investigation, we analyzed the relationship between GAF as an objective variable and MMN, diagnosis, and basic epidemiological factors (age, sex, premorbid intelligence quotient) as explanatory variables (total n = 201, healthy controls: n = 41, patients with psychiatric disorders: n = 160) without assuming diagnostic categories. The relationship between functional outcomes and MMN was confirmed without a case-control design. Finally, we propose that new neurophysiological studies should acknowledge psychophysiological responses such as emotion, intention, and autonomic responses, as well as behavioral differences among participants beyond the dichotomy between healthy controls and patients. Measurements could be conducted in various settings from the participant's perspective. We discuss the potential for research investigating psychosis based on the interaction between individuals and the environment, using MMN as an illustrative model.</p>","PeriodicalId":93940,"journal":{"name":"Clinical EEG and neuroscience","volume":" ","pages":"60-71"},"PeriodicalIF":0.0000,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinical EEG and neuroscience","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/15500594241294188","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/11/6 0:00:00","PubModel":"Epub","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Mismatch negativity (MMN) has gained attention as a biomarker for psychosis and a translational intermediate phenotype in animal models of psychosis, including rodents and non-human primates. MMN has been linked to global functioning (Global Assessment of Functioning [GAF] score) and prognosis (psychosis onset or remission), suggesting that MMN reflects activities beyond auditory processing alone. This review examines the 45-year history of MMN from the perspective of psychiatric researchers and discusses current advances in computational and translational research on MMN, summarizing the current understanding of the MMN generation mechanism. We then address the essential question, "What do we observe through MMN?" Currently, we regard the relationship between global functioning in the real world and MMN as the key to answering this question. As a preliminary investigation, we analyzed the relationship between GAF as an objective variable and MMN, diagnosis, and basic epidemiological factors (age, sex, premorbid intelligence quotient) as explanatory variables (total n = 201, healthy controls: n = 41, patients with psychiatric disorders: n = 160) without assuming diagnostic categories. The relationship between functional outcomes and MMN was confirmed without a case-control design. Finally, we propose that new neurophysiological studies should acknowledge psychophysiological responses such as emotion, intention, and autonomic responses, as well as behavioral differences among participants beyond the dichotomy between healthy controls and patients. Measurements could be conducted in various settings from the participant's perspective. We discuss the potential for research investigating psychosis based on the interaction between individuals and the environment, using MMN as an illustrative model.

从实验室到现实世界:错配负性在精神病中的作用》。
错配负性(MMN)作为精神病的生物标志物以及精神病动物模型(包括啮齿类动物和非人灵长类动物)的转化中间表型,已经引起了人们的关注。MMN与整体功能(全球功能评估[GAF]评分)和预后(精神病发病或缓解)有关,这表明MMN反映的不仅仅是听觉处理活动。本综述从精神病学研究人员的角度回顾了 MMN 45 年的发展历程,讨论了当前 MMN 计算和转化研究的进展,总结了当前对 MMN 生成机制的理解。然后,我们探讨了一个基本问题:"我们通过 MMN 观察到了什么?目前,我们将现实世界中的全局功能与 MMN 之间的关系视为回答这一问题的关键。作为初步调查,我们分析了作为客观变量的 GAF 与作为解释变量的 MMN、诊断和基本流行病学因素(年龄、性别、病前智商)之间的关系(总人数 n = 201,健康对照组:n = 41,精神障碍患者:n = 160),而没有假设诊断类别。在没有病例对照设计的情况下,功能结果与 MMN 之间的关系得到了证实。最后,我们建议新的神经生理学研究应承认心理生理学反应,如情绪、意向和自主神经反应,以及参与者之间的行为差异,而不是健康对照组和患者之间的二分法。可以从参与者的角度出发,在各种环境中进行测量。我们以 MMN 为示例,讨论了基于个人与环境互动的精神病调查研究的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信