Resting-state functional MRI in treatment-resistant schizophrenia.

Noora Tuovinen, Alex Hofer
{"title":"Resting-state functional MRI in treatment-resistant schizophrenia.","authors":"Noora Tuovinen,&nbsp;Alex Hofer","doi":"10.3389/fnimg.2023.1127508","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Abnormalities in brain regions involved in the pathophysiology of schizophrenia (SCZ) may present insight into individual clinical symptoms. Specifically, functional connectivity irregularities may provide potential biomarkers for treatment response or treatment resistance, as such changes can occur before any structural changes are visible. We reviewed resting-state functional magnetic resonance imaging (rs-fMRI) findings from the last decade to provide an overview of the current knowledge on brain functional connectivity abnormalities and their associations to symptoms in treatment-resistant schizophrenia (TRS) and ultra-treatment-resistant schizophrenia (UTRS) and to look for support for the dysconnection hypothesis.</p><p><strong>Methods: </strong>PubMed database was searched for articles published in the last 10 years applying rs-fMRI in TRS patients, i.e., who had not responded to at least two adequate treatment trials with different antipsychotic drugs.</p><p><strong>Results: </strong>Eighteen articles were selected for this review involving 648 participants (TRS and control cohorts). The studies showed frontal hypoconnectivity before the initiation of treatment with CLZ or riluzole, an increase in frontal connectivity after riluzole treatment, fronto-temporal hypoconnectivity that may be specific for non-responders, widespread abnormal connectivity during mixed treatments, and ECT-induced effects on the limbic system.</p><p><strong>Conclusion: </strong>Probably due to the heterogeneity in the patient cohorts concerning antipsychotic treatment and other clinical variables (e.g., treatment response, lifetime antipsychotic drug exposure, duration of illness, treatment adherence), widespread abnormalities in connectivity were noted. However, irregularities in frontal brain regions, especially in the prefrontal cortex, were noted which are consistent with previous SCZ literature and the dysconnectivity hypothesis. There were major limitations, as most studies did not differentiate between TRS and UTRS (i.e., CLZ-resistant schizophrenia) and investigated heterogeneous cohorts treated with mixed treatments (with or without CLZ). This is critical as in different subtypes of the disorder an interplay between dopaminergic and glutamatergic pathways involving frontal, striatal, and hippocampal brain regions in separate ways is likely. Better definitions of TRS and UTRS are necessary in future longitudinal studies to correctly differentiate brain regions underlying the pathophysiology of SCZ, which could serve as potential functional biomarkers for treatment resistance.</p>","PeriodicalId":73094,"journal":{"name":"Frontiers in neuroimaging","volume":"2 ","pages":"1127508"},"PeriodicalIF":0.0000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10406237/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Frontiers in neuroimaging","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3389/fnimg.2023.1127508","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Background: Abnormalities in brain regions involved in the pathophysiology of schizophrenia (SCZ) may present insight into individual clinical symptoms. Specifically, functional connectivity irregularities may provide potential biomarkers for treatment response or treatment resistance, as such changes can occur before any structural changes are visible. We reviewed resting-state functional magnetic resonance imaging (rs-fMRI) findings from the last decade to provide an overview of the current knowledge on brain functional connectivity abnormalities and their associations to symptoms in treatment-resistant schizophrenia (TRS) and ultra-treatment-resistant schizophrenia (UTRS) and to look for support for the dysconnection hypothesis.

Methods: PubMed database was searched for articles published in the last 10 years applying rs-fMRI in TRS patients, i.e., who had not responded to at least two adequate treatment trials with different antipsychotic drugs.

Results: Eighteen articles were selected for this review involving 648 participants (TRS and control cohorts). The studies showed frontal hypoconnectivity before the initiation of treatment with CLZ or riluzole, an increase in frontal connectivity after riluzole treatment, fronto-temporal hypoconnectivity that may be specific for non-responders, widespread abnormal connectivity during mixed treatments, and ECT-induced effects on the limbic system.

Conclusion: Probably due to the heterogeneity in the patient cohorts concerning antipsychotic treatment and other clinical variables (e.g., treatment response, lifetime antipsychotic drug exposure, duration of illness, treatment adherence), widespread abnormalities in connectivity were noted. However, irregularities in frontal brain regions, especially in the prefrontal cortex, were noted which are consistent with previous SCZ literature and the dysconnectivity hypothesis. There were major limitations, as most studies did not differentiate between TRS and UTRS (i.e., CLZ-resistant schizophrenia) and investigated heterogeneous cohorts treated with mixed treatments (with or without CLZ). This is critical as in different subtypes of the disorder an interplay between dopaminergic and glutamatergic pathways involving frontal, striatal, and hippocampal brain regions in separate ways is likely. Better definitions of TRS and UTRS are necessary in future longitudinal studies to correctly differentiate brain regions underlying the pathophysiology of SCZ, which could serve as potential functional biomarkers for treatment resistance.

Abstract Image

Abstract Image

Abstract Image

难治性精神分裂症的静息状态功能MRI。
背景:参与精神分裂症(SCZ)病理生理的大脑区域的异常可能为个体临床症状提供见解。具体来说,功能连接异常可能为治疗反应或治疗耐药性提供潜在的生物标志物,因为这些变化可能在任何结构变化可见之前发生。我们回顾了过去十年静息状态功能磁共振成像(rs-fMRI)的发现,概述了目前对脑功能连接异常及其与治疗抵抗性精神分裂症(TRS)和超治疗抵抗性精神分裂症(UTRS)症状的关系的了解,并寻找连接异常假说的支持。方法:检索PubMed数据库,检索近10年来发表的应用rs-fMRI治疗TRS患者的文章,即对至少两种不同抗精神病药物治疗试验没有反应的患者。结果:本综述选择了18篇文章,涉及648名参与者(TRS和对照队列)。研究显示,在CLZ或利鲁唑治疗开始前,额叶连通性低下,利鲁唑治疗后额叶连通性增加,额颞叶连通性低下可能是无反应者特有的,混合治疗期间广泛的异常连通性,以及ect诱导的边缘系统影响。结论:可能由于患者队列在抗精神病药物治疗和其他临床变量(如治疗反应、终生抗精神病药物暴露、疾病持续时间、治疗依从性)方面的异质性,注意到广泛的连接异常。然而,在大脑额叶区域,特别是在前额叶皮层的不规则性被注意到,这与先前的SCZ文献和连接障碍假说一致。主要的局限性是,大多数研究没有区分TRS和UTRS(即CLZ抗性精神分裂症),并且调查了使用混合治疗(含或不含CLZ)的异质队列。这是至关重要的,因为在该疾病的不同亚型中,多巴胺能和谷氨酸能通路可能以不同的方式相互作用,涉及额叶、纹状体和海马脑区域。在未来的纵向研究中,更好地定义TRS和UTRS是必要的,以正确区分SCZ病理生理背后的大脑区域,这可能作为治疗耐药性的潜在功能生物标志物。
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