利用fMRI流入效应估计体内脑脊液流速

IF 2 4区 管理学 Q2 BUSINESS, FINANCE Accounting and Business Research Pub Date : 2023-11-05 DOI:10.1101/2023.08.14.553250
Tyler C Diorio, Vidhya Vijayakrishnan Nair, Neal M Patel, Lauren E Hedges, Vitaliy L Rayz, Yunjie Tong
{"title":"利用fMRI流入效应估计体内脑脊液流速","authors":"Tyler C Diorio, Vidhya Vijayakrishnan Nair, Neal M Patel, Lauren E Hedges, Vitaliy L Rayz, Yunjie Tong","doi":"10.1101/2023.08.14.553250","DOIUrl":null,"url":null,"abstract":"<p><p><i>In vivo</i> estimation of cerebrospinal fluid (CSF) velocity is crucial for understanding the glymphatic system and its potential role in neurodegenerative disorders such as Alzheimer's disease and Parkinson's disease. Current cardiac or respiratory gated approaches, such as 4D flow MRI, cannot capture CSF movement in real time due to limited temporal resolution and in addition deteriorate in accuracy at low fluid velocities. Other techniques like real-time PC-MRI or time-spatial labeling inversion pulse are not limited by temporal averaging but have limited availability even in research settings. This study aims to quantify the inflow effect of dynamic CSF motion on functional magnetic resonance imaging (fMRI) for <i>in vivo</i>, real-time measurement of CSF flow velocity. We considered linear and nonlinear models of velocity waveforms and empirically fit them to fMRI data from a controlled flow experiment. To assess the utility of this methodology in human data, CSF flow velocities were computed from fMRI data acquired in eight healthy volunteers. Breath holding regimens were used to amplify CSF flow oscillations. Our experimental flow study revealed that CSF velocity is nonlinearly related to inflow effect-mediated signal increase and well estimated using an extension of a previous nonlinear framework. Using this relationship, we recovered velocity from <i>in vivo</i> fMRI signal, demonstrating the potential of our approach for estimating CSF flow velocity in the human brain. This novel method could serve as an alternative approach to quantifying slow flow velocities in real time, such as CSF flow in the ventricular system, thereby providing valuable insights into the glymphatic system's function and its implications for neurological disorders.</p>","PeriodicalId":7054,"journal":{"name":"Accounting and Business Research","volume":"30 1","pages":""},"PeriodicalIF":2.0000,"publicationDate":"2023-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10634978/pdf/","citationCount":"0","resultStr":"{\"title\":\"Real-time Quantification of in vivo cerebrospinal fluid velocity using fMRI inflow effect.\",\"authors\":\"Tyler C Diorio, Vidhya Vijayakrishnan Nair, Neal M Patel, Lauren E Hedges, Vitaliy L Rayz, Yunjie Tong\",\"doi\":\"10.1101/2023.08.14.553250\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p><i>In vivo</i> estimation of cerebrospinal fluid (CSF) velocity is crucial for understanding the glymphatic system and its potential role in neurodegenerative disorders such as Alzheimer's disease and Parkinson's disease. Current cardiac or respiratory gated approaches, such as 4D flow MRI, cannot capture CSF movement in real time due to limited temporal resolution and in addition deteriorate in accuracy at low fluid velocities. Other techniques like real-time PC-MRI or time-spatial labeling inversion pulse are not limited by temporal averaging but have limited availability even in research settings. This study aims to quantify the inflow effect of dynamic CSF motion on functional magnetic resonance imaging (fMRI) for <i>in vivo</i>, real-time measurement of CSF flow velocity. We considered linear and nonlinear models of velocity waveforms and empirically fit them to fMRI data from a controlled flow experiment. To assess the utility of this methodology in human data, CSF flow velocities were computed from fMRI data acquired in eight healthy volunteers. Breath holding regimens were used to amplify CSF flow oscillations. Our experimental flow study revealed that CSF velocity is nonlinearly related to inflow effect-mediated signal increase and well estimated using an extension of a previous nonlinear framework. Using this relationship, we recovered velocity from <i>in vivo</i> fMRI signal, demonstrating the potential of our approach for estimating CSF flow velocity in the human brain. This novel method could serve as an alternative approach to quantifying slow flow velocities in real time, such as CSF flow in the ventricular system, thereby providing valuable insights into the glymphatic system's function and its implications for neurological disorders.</p>\",\"PeriodicalId\":7054,\"journal\":{\"name\":\"Accounting and Business Research\",\"volume\":\"30 1\",\"pages\":\"\"},\"PeriodicalIF\":2.0000,\"publicationDate\":\"2023-11-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10634978/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Accounting and Business Research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1101/2023.08.14.553250\",\"RegionNum\":4,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"BUSINESS, FINANCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Accounting and Business Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1101/2023.08.14.553250","RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
引用次数: 0

摘要

体内脑脊液(CSF)流速的估计对于了解淋巴系统及其在神经退行性疾病(如阿尔茨海默病、帕金森病和多发性硬化症)中的潜在作用至关重要。目前的心脏或呼吸门控入路,如4D Flow MRI,由于时间分辨率有限,无法实时捕获CSF运动,而且在低流体速度下准确性会下降。其他技术如实时PC-MRI或时空标记反转脉冲不受时间平均的限制,但即使在研究环境中也有限。本研究旨在量化动态脑脊液运动对功能磁共振成像(fMRI)的流入效应,用于体内实时测量脑脊液流速。我们考虑了速度波形的线性和指数模型,并经验地将它们拟合到控制流实验的功能磁共振成像数据中。为了评估该方法在人体数据中的实用性,我们从8名健康志愿者的fMRI数据中计算了脑脊液的流速。屏气方案用于放大脑脊液血流振荡。我们的实验流动研究表明,脑脊液流速与流入效应介导的信号增加呈指数相关。利用这种关系,我们从体内fMRI信号中恢复了速度,证明了我们估计人脑CSF流速的方法的潜力。这种新方法可以作为实时定量慢血流速度的替代方法,例如脑室系统的脑脊液流量,从而为淋巴系统的功能及其对神经系统疾病的影响提供有价值的见解。
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
Real-time Quantification of in vivo cerebrospinal fluid velocity using fMRI inflow effect.

In vivo estimation of cerebrospinal fluid (CSF) velocity is crucial for understanding the glymphatic system and its potential role in neurodegenerative disorders such as Alzheimer's disease and Parkinson's disease. Current cardiac or respiratory gated approaches, such as 4D flow MRI, cannot capture CSF movement in real time due to limited temporal resolution and in addition deteriorate in accuracy at low fluid velocities. Other techniques like real-time PC-MRI or time-spatial labeling inversion pulse are not limited by temporal averaging but have limited availability even in research settings. This study aims to quantify the inflow effect of dynamic CSF motion on functional magnetic resonance imaging (fMRI) for in vivo, real-time measurement of CSF flow velocity. We considered linear and nonlinear models of velocity waveforms and empirically fit them to fMRI data from a controlled flow experiment. To assess the utility of this methodology in human data, CSF flow velocities were computed from fMRI data acquired in eight healthy volunteers. Breath holding regimens were used to amplify CSF flow oscillations. Our experimental flow study revealed that CSF velocity is nonlinearly related to inflow effect-mediated signal increase and well estimated using an extension of a previous nonlinear framework. Using this relationship, we recovered velocity from in vivo fMRI signal, demonstrating the potential of our approach for estimating CSF flow velocity in the human brain. This novel method could serve as an alternative approach to quantifying slow flow velocities in real time, such as CSF flow in the ventricular system, thereby providing valuable insights into the glymphatic system's function and its implications for neurological disorders.

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
CiteScore
3.40
自引率
11.80%
发文量
38
期刊介绍: Accounting and Business Research publishes papers containing a substantial and original contribution to knowledge. Papers may cover any area of accounting, broadly defined and including corporate governance, auditing and taxation. However the focus must be accounting, rather than (corporate) finance or general management. Authors may take a theoretical or an empirical approach, using either quantitative or qualitative methods. They may aim to contribute to developing and understanding the role of accounting in business. Papers should be rigorous but also written in a way that makes them intelligible to a wide range of academics and, where appropriate, practitioners.
期刊最新文献
Varied international practice in accounting for extractive activities Corporate governance, firm strategy disclosure, and executive compensation The impact of the JOBS act on the costs of going public: evidence from long-term audit costs Escaping ‘Groundhog Day’: the transformative possibilities of reconceptualising audit Reflections on the past, present and future of the academic/professional interface in accounting
×
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