精神病早期病程中的神经进展。

Journal of psychiatry and brain science Pub Date : 2020-01-01 Epub Date: 2020-02-11 DOI:10.20900/jpbs.20200002
Kathryn E Lewandowski, Sylvain Bouix, Dost Ongur, Martha E Shenton
{"title":"精神病早期病程中的神经进展。","authors":"Kathryn E Lewandowski,&nbsp;Sylvain Bouix,&nbsp;Dost Ongur,&nbsp;Martha E Shenton","doi":"10.20900/jpbs.20200002","DOIUrl":null,"url":null,"abstract":"<p><p>Psychotic disorders are severe, debilitating, and even fatal. The development of targeted and effective interventions for psychosis depends upon on clear understanding of the timing and nature of disease progression to target processes amenable to intervention. Strong evidence suggests early and ongoing neuroprogressive changes, but timing and inflection points remain unclear and likely differ across cognitive, clinical, and brain measures. Additionally, granular evidence across modalities is particularly sparse in the \"bridging years\" between first episode and established illness-years that may be especially critical for improving outcomes and during which interventions may be maximally effective. Our objective is the systematic, multimodal characterization of neuroprogression through the early course of illness in a cross-diagnostic sample of patients with psychosis. We aim to (1) interrogate neurocognition, structural brain measures, and network connectivity at multiple assessments over the first eight years of illness to map neuroprogressive trajectories, and (2) examine trajectories as predictors of clinical and functional outcomes. We will recruit 192 patients with psychosis and 36 healthy controls. Assessments will occur at baseline and 8- and 16-month follow ups using clinical, cognitive, and imaging measures. We will employ an accelerated longitudinal design (ALD), which permits ascertainment of data across a longer timeframe and at more frequent intervals than would be possible in a single cohort longitudinal study. Results from this study are expected to hasten identification of actionable treatment targets that are closely associated with clinical outcomes, and identify subgroups who share common neuroprogressive trajectories toward the development of individualized treatments.</p>","PeriodicalId":73912,"journal":{"name":"Journal of psychiatry and brain science","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7111514/pdf/","citationCount":"25","resultStr":"{\"title\":\"Neuroprogression across the Early Course of Psychosis.\",\"authors\":\"Kathryn E Lewandowski,&nbsp;Sylvain Bouix,&nbsp;Dost Ongur,&nbsp;Martha E Shenton\",\"doi\":\"10.20900/jpbs.20200002\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Psychotic disorders are severe, debilitating, and even fatal. The development of targeted and effective interventions for psychosis depends upon on clear understanding of the timing and nature of disease progression to target processes amenable to intervention. Strong evidence suggests early and ongoing neuroprogressive changes, but timing and inflection points remain unclear and likely differ across cognitive, clinical, and brain measures. Additionally, granular evidence across modalities is particularly sparse in the \\\"bridging years\\\" between first episode and established illness-years that may be especially critical for improving outcomes and during which interventions may be maximally effective. Our objective is the systematic, multimodal characterization of neuroprogression through the early course of illness in a cross-diagnostic sample of patients with psychosis. We aim to (1) interrogate neurocognition, structural brain measures, and network connectivity at multiple assessments over the first eight years of illness to map neuroprogressive trajectories, and (2) examine trajectories as predictors of clinical and functional outcomes. We will recruit 192 patients with psychosis and 36 healthy controls. Assessments will occur at baseline and 8- and 16-month follow ups using clinical, cognitive, and imaging measures. We will employ an accelerated longitudinal design (ALD), which permits ascertainment of data across a longer timeframe and at more frequent intervals than would be possible in a single cohort longitudinal study. Results from this study are expected to hasten identification of actionable treatment targets that are closely associated with clinical outcomes, and identify subgroups who share common neuroprogressive trajectories toward the development of individualized treatments.</p>\",\"PeriodicalId\":73912,\"journal\":{\"name\":\"Journal of psychiatry and brain science\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7111514/pdf/\",\"citationCount\":\"25\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of psychiatry and brain science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.20900/jpbs.20200002\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2020/2/11 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of psychiatry and brain science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.20900/jpbs.20200002","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2020/2/11 0:00:00","PubModel":"Epub","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 25

摘要

精神障碍是严重的,使人衰弱,甚至致命的。有针对性和有效的精神病干预措施的发展取决于对疾病进展的时间和性质的清晰理解,以确定可干预的目标过程。强有力的证据表明,早期和持续的神经进行性变化,但时间和拐点仍不清楚,可能在认知、临床和大脑测量中有所不同。此外,在首次发病和确定发病之间的“过渡年”,各种治疗方式之间的细粒度证据尤其稀少,而这些年份可能对改善结果尤其关键,在此期间干预措施可能最有效。我们的目标是通过精神病患者的交叉诊断样本,系统地、多模式地描述早期病程中的神经进展。我们的目标是:(1)在疾病的前八年的多次评估中询问神经认知,结构脑测量和网络连接,以绘制神经进展轨迹;(2)检查轨迹作为临床和功能结果的预测因子。我们将招募192名精神病患者和36名健康对照者。评估将在基线和8个月和16个月的临床、认知和影像学随访中进行。我们将采用加速纵向设计(ALD),与单一队列纵向研究相比,它允许在更长的时间框架内以更频繁的间隔确定数据。这项研究的结果有望加速确定与临床结果密切相关的可行治疗靶点,并确定具有共同神经进展轨迹的亚组,以发展个体化治疗。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Neuroprogression across the Early Course of Psychosis.

Psychotic disorders are severe, debilitating, and even fatal. The development of targeted and effective interventions for psychosis depends upon on clear understanding of the timing and nature of disease progression to target processes amenable to intervention. Strong evidence suggests early and ongoing neuroprogressive changes, but timing and inflection points remain unclear and likely differ across cognitive, clinical, and brain measures. Additionally, granular evidence across modalities is particularly sparse in the "bridging years" between first episode and established illness-years that may be especially critical for improving outcomes and during which interventions may be maximally effective. Our objective is the systematic, multimodal characterization of neuroprogression through the early course of illness in a cross-diagnostic sample of patients with psychosis. We aim to (1) interrogate neurocognition, structural brain measures, and network connectivity at multiple assessments over the first eight years of illness to map neuroprogressive trajectories, and (2) examine trajectories as predictors of clinical and functional outcomes. We will recruit 192 patients with psychosis and 36 healthy controls. Assessments will occur at baseline and 8- and 16-month follow ups using clinical, cognitive, and imaging measures. We will employ an accelerated longitudinal design (ALD), which permits ascertainment of data across a longer timeframe and at more frequent intervals than would be possible in a single cohort longitudinal study. Results from this study are expected to hasten identification of actionable treatment targets that are closely associated with clinical outcomes, and identify subgroups who share common neuroprogressive trajectories toward the development of individualized treatments.

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
自引率
0.00%
发文量
0
期刊最新文献
Sleep Disturbance Mediates the Relationship between Problematic Technology Use and Psychotic-Like Experiences: A Large Cross-Sectional Study in 87,302 Chinese Adolescents A Focused Review of Gamma Neuromodulation as a Therapeutic Target in Alzheimer's Spectrum Disorders. Closing the Digital Divide in Interventions for Substance Use Disorder. Disparities in Utilization and Delivery Outcomes for Women with Perinatal Mood and Anxiety Disorders. Understanding Suicide over the Life Course Using Data Science Tools within a Triangulation Framework.
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1