精神分裂症治疗的神经生理生物标志物

Q2 Medicine
Gregory A. Light , Yash B. Joshi , Juan L. Molina , Savita G. Bhakta , John A. Nungaray , Lauren Cardoso , Juliana E. Kotz , Michael L. Thomas , Neal R. Swerdlow
{"title":"精神分裂症治疗的神经生理生物标志物","authors":"Gregory A. Light ,&nbsp;Yash B. Joshi ,&nbsp;Juan L. Molina ,&nbsp;Savita G. Bhakta ,&nbsp;John A. Nungaray ,&nbsp;Lauren Cardoso ,&nbsp;Juliana E. Kotz ,&nbsp;Michael L. Thomas ,&nbsp;Neal R. Swerdlow","doi":"10.1016/j.bionps.2020.100012","DOIUrl":null,"url":null,"abstract":"<div><p>Chronic psychotic disorders, including schizophrenia (SZ), are highly heterogeneous at many levels of analysis, from genetics to clinical presentation and treatment sensitivity. This heterogeneity reflects both a divergence of shared biological pathways moving from over a hundred “risk genes” to many different clinical phenotypes, and the convergence of distinct biological pathways to a shared “phenocopies” of chronic psychosis. Successful strategies for developing “next generation” interventions in SZ – including “pro-cognitive” medications, cognitive remediation, neurostimulation and combinations thereof – will address these pathways to clinical heterogeneity by using biological signals, or “biomarkers” that characterize treatment-sensitive subpopulations. Identifying and detecting these meaningful signals in the complex biology of SZ is a vexing scientific challenge. We propose that rational starting points are neurophysiological measures of early auditory information processing (EAIP), based on their functional importance as strong mediators of both cognition and function in SZ, their plasticity in response to both pharmacologic and non-pharmacologic therapeutic “challenge”, and their experimental characteristics as highly quantitative, robust and reliable measures of brain activity. Here we describe some of our current approaches to developing neurophysiological biomarkers for “next generation” therapeutic sensitivity in SZ, and some potentially novel experimental strategies that we envision on the near horizon.</p></div>","PeriodicalId":52767,"journal":{"name":"Biomarkers in Neuropsychiatry","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.bionps.2020.100012","citationCount":"15","resultStr":"{\"title\":\"Neurophysiological biomarkers for schizophrenia therapeutics\",\"authors\":\"Gregory A. Light ,&nbsp;Yash B. Joshi ,&nbsp;Juan L. Molina ,&nbsp;Savita G. Bhakta ,&nbsp;John A. Nungaray ,&nbsp;Lauren Cardoso ,&nbsp;Juliana E. Kotz ,&nbsp;Michael L. Thomas ,&nbsp;Neal R. Swerdlow\",\"doi\":\"10.1016/j.bionps.2020.100012\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Chronic psychotic disorders, including schizophrenia (SZ), are highly heterogeneous at many levels of analysis, from genetics to clinical presentation and treatment sensitivity. This heterogeneity reflects both a divergence of shared biological pathways moving from over a hundred “risk genes” to many different clinical phenotypes, and the convergence of distinct biological pathways to a shared “phenocopies” of chronic psychosis. Successful strategies for developing “next generation” interventions in SZ – including “pro-cognitive” medications, cognitive remediation, neurostimulation and combinations thereof – will address these pathways to clinical heterogeneity by using biological signals, or “biomarkers” that characterize treatment-sensitive subpopulations. Identifying and detecting these meaningful signals in the complex biology of SZ is a vexing scientific challenge. We propose that rational starting points are neurophysiological measures of early auditory information processing (EAIP), based on their functional importance as strong mediators of both cognition and function in SZ, their plasticity in response to both pharmacologic and non-pharmacologic therapeutic “challenge”, and their experimental characteristics as highly quantitative, robust and reliable measures of brain activity. Here we describe some of our current approaches to developing neurophysiological biomarkers for “next generation” therapeutic sensitivity in SZ, and some potentially novel experimental strategies that we envision on the near horizon.</p></div>\",\"PeriodicalId\":52767,\"journal\":{\"name\":\"Biomarkers in Neuropsychiatry\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1016/j.bionps.2020.100012\",\"citationCount\":\"15\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Biomarkers in Neuropsychiatry\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2666144620300022\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"Medicine\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biomarkers in Neuropsychiatry","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2666144620300022","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 15

摘要

慢性精神障碍,包括精神分裂症(SZ),在从遗传学到临床表现和治疗敏感性的许多分析水平上都是高度异质性的。这种异质性既反映了共享的生物学途径从一百多个“风险基因”到许多不同的临床表型的分化,也反映了不同的生物学途径趋同于慢性精神病的共享“表型”。开发“下一代”SZ干预措施的成功策略-包括“促认知”药物,认知补救,神经刺激及其组合-将通过使用生物信号或表征治疗敏感亚群的“生物标志物”来解决这些临床异质性途径。在复杂的SZ生物学中识别和检测这些有意义的信号是一项令人烦恼的科学挑战。基于早期听觉信息加工(EAIP)作为认知和功能的强大介质的功能重要性、它们在应对药物和非药物治疗“挑战”时的可塑性,以及它们作为高度定量、稳健和可靠的大脑活动测量的实验特征,我们提出合理的起点是早期听觉信息加工(EAIP)的神经生理测量。在这里,我们描述了我们目前开发用于“下一代”SZ治疗敏感性的神经生理生物标志物的一些方法,以及我们在不久的将来设想的一些潜在的新颖实验策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Neurophysiological biomarkers for schizophrenia therapeutics

Chronic psychotic disorders, including schizophrenia (SZ), are highly heterogeneous at many levels of analysis, from genetics to clinical presentation and treatment sensitivity. This heterogeneity reflects both a divergence of shared biological pathways moving from over a hundred “risk genes” to many different clinical phenotypes, and the convergence of distinct biological pathways to a shared “phenocopies” of chronic psychosis. Successful strategies for developing “next generation” interventions in SZ – including “pro-cognitive” medications, cognitive remediation, neurostimulation and combinations thereof – will address these pathways to clinical heterogeneity by using biological signals, or “biomarkers” that characterize treatment-sensitive subpopulations. Identifying and detecting these meaningful signals in the complex biology of SZ is a vexing scientific challenge. We propose that rational starting points are neurophysiological measures of early auditory information processing (EAIP), based on their functional importance as strong mediators of both cognition and function in SZ, their plasticity in response to both pharmacologic and non-pharmacologic therapeutic “challenge”, and their experimental characteristics as highly quantitative, robust and reliable measures of brain activity. Here we describe some of our current approaches to developing neurophysiological biomarkers for “next generation” therapeutic sensitivity in SZ, and some potentially novel experimental strategies that we envision on the near horizon.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Biomarkers in Neuropsychiatry
Biomarkers in Neuropsychiatry Medicine-Psychiatry and Mental Health
CiteScore
4.00
自引率
0.00%
发文量
12
审稿时长
7 weeks
×
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