Quantitative functional MRI: developing non-invasive neuroimaging to map the human brain's consumption of oxygen
定量功能 MRI:开发非侵入性神经影像来绘制人脑的耗氧量
基本信息
- 批准号:EP/K020404/1
- 负责人:
- 金额:$ 74.61万
- 依托单位:
- 依托单位国家:英国
- 项目类别:Research Grant
- 财政年份:2013
- 资助国家:英国
- 起止时间:2013 至 无数据
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Diseases of the brain including neurological conditions, such as epilepsy, multiple sclerosis and dementia, and common psychiatric conditions such as depression and schizophrenia, have considerable personal, social and economic costs for the sufferers and their carers. Improving the tools at our disposal for quantifying brain function would help with diagnosis, choosing the right treatment for the patient and developing new, more effective, treatments. This proposal aims to develop a reliable non-invasive brain imaging method using magnetic resonance imaging (MRI) that maps, across the whole human brain with a spatial resolution of a few millimetres, the amount of oxygen that the brain is consuming. The rate of oxygen consumption, known as CMRO2, reflects neural activity and can change through disease processes. It provides a marker of disease and treatment related alterations in brain activity. Our proposed method would also map the functional characteristics of brain blood vessels whose health is crucial for the supply of oxygen and nutrients to the brain.Until recently, it has only been possible to quantitatively map the human brain's metabolic energy use through positron emission tomography (PET), which relies on radioactive tracers. The application of such measurements is limited, as in order to minimise radiation doses, it cannot be applied many times in the same patients or healthy volunteers. This hampers the repeated study of disease or treatment progression and the study of normal brain development and aging. Our proposed method would avoid the use of ionizing radiation, would be cheaper than PET and more widely available, and would expand the applications of quantified CMRO2 mapping to more centres, leading to improved treatment targeting and potential healthcare cost savings.We have performed some initial tests that show our proposed method to be feasible. It relies on mapping simultaneously the flow of blood to each part of the brain and the oxygenation of the blood leaving each part of the brain. Necessary for the measurement is the modulation of brain blood flow and oxygen levels, achieved by asking volunteers to breathe air enriched with carbon dioxide and oxygen. These procedures involve the volunteer wearing a face-mask but are safe and well tolerated. Our proposed method should yield additional information describing cerebrovascular properties compared to other recently-proposed methods. This means that it would require fewer assumptions which may be not be invalid in the diseased brain, giving our approach a wider scope of application and offering potentially richer clinical information.This proposal optimises our method to ensure it is efficient and reliable for widespread research and eventually clinical use. We propose a close collaboration between physicists developing the neuroimaging methodology and clinical academic researchers who will help us to demonstrate its clinical feasibility in two common neurological diseases, epilepsy and multiple sclerosis (MS). About 70% of the project will be methodological development to optimise our image acquisition and data analysis strategy to yield accurate and repeatable measurements within about 10 minutes of scanning. The remaining 30% of the project will validate the method in groups of epilepsy and MS patients who volunteer to help us with our research. Validation will be performed by comparison with PET, the current 'gold standard.'The project will develop and benefit from partnerships with academic and industrial researchers in the UK and internationally. In particular, the work has good potential for application in the drug development industry, a strong industrial sector in the UK, for the development of new and effective compounds to treat psychiatric and neurological disorders. This project would help maintain the UK at the forefront internationally of neuroimaging research, a position it has long held and from which it has benefitted.
脑部疾病,包括神经系统疾病,如癫痫、多发性硬化和痴呆,以及常见的精神疾病,如抑郁症和精神分裂症,对患者及其照顾者造成了相当大的个人、社会和经济代价。改进我们所掌握的量化大脑功能的工具将有助于诊断,为患者选择正确的治疗方法,并开发新的,更有效的治疗方法。该提案旨在开发一种可靠的非侵入性脑成像方法,使用磁共振成像(MRI),以几毫米的空间分辨率在整个人脑中绘制大脑消耗的氧气量。氧消耗率,称为CMRO2,反映了神经活动,并可以通过疾病过程改变。它提供了疾病和治疗相关的大脑活动改变的标志物。我们提出的方法还将绘制大脑血管的功能特征,这些血管的健康对于向大脑供应氧气和营养物质至关重要。直到最近,人们才有可能通过正电子发射断层扫描(PET)定量绘制人脑的代谢能量使用,这依赖于放射性示踪剂。这种测量的应用是有限的,因为为了最小化辐射剂量,它不能在同一患者或健康志愿者中多次应用。这阻碍了对疾病或治疗进展的重复研究以及对正常大脑发育和衰老的研究。我们提出的方法将避免使用电离辐射,将比PET更便宜,更广泛地使用,并将量化CMRO2映射的应用扩展到更多的中心,从而提高治疗靶向和潜在的医疗成本节约。我们已经进行了一些初步测试,表明我们提出的方法是可行的。它依赖于同时映射血液流向大脑的每个部分以及血液离开大脑每个部分的氧合。测量所需的是脑血流和氧气水平的调节,通过要求志愿者呼吸富含二氧化碳和氧气的空气来实现。这些程序涉及志愿者戴口罩,但安全且耐受性良好。我们提出的方法应该产生额外的信息描述脑血管的特性相比,其他最近提出的方法。这意味着它将需要更少的假设,这些假设在患病的大脑中可能不是无效的,使我们的方法具有更广泛的应用范围,并提供潜在的更丰富的临床信息。我们建议物理学家开发神经成像方法和临床学术研究人员之间的密切合作,他们将帮助我们证明其在两种常见神经系统疾病癫痫和多发性硬化症(MS)中的临床可行性。该项目约70%的工作将是方法开发,以优化我们的图像采集和数据分析策略,从而在大约10分钟的扫描时间内获得准确和可重复的测量结果。该项目剩余的30%将在自愿帮助我们进行研究的癫痫和MS患者群体中验证该方法。验证将通过与PET(当前的“金标准”)进行比较来进行。该项目将与英国和国际上的学术和工业研究人员建立伙伴关系,并从中受益。特别是,这项工作在药物开发行业(英国强大的工业部门)具有良好的应用潜力,用于开发新的有效化合物来治疗精神和神经系统疾病。该项目将有助于保持英国在神经影像学研究的国际前沿,这是它长期以来的地位,并从中受益。
项目成果
期刊论文数量(10)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Graded Hypercapnia-Calibrated BOLD: Beyond the Iso-metabolic Hypercapnic Assumption.
- DOI:10.3389/fnins.2017.00276
- 发表时间:2017
- 期刊:
- 影响因子:4.3
- 作者:Driver ID;Wise RG;Murphy K
- 通讯作者:Murphy K
Dual-calibrated fMRI measurement of absolute cerebral metabolic rate of oxygen consumption and effective oxygen diffusivity.
- DOI:10.1016/j.neuroimage.2018.09.035
- 发表时间:2019-01-01
- 期刊:
- 影响因子:5.7
- 作者:Germuska M;Chandler HL;Stickland RC;Foster C;Fasano F;Okell TW;Steventon J;Tomassini V;Murphy K;Wise RG
- 通讯作者:Wise RG
Cerebral Metabolic Changes During Visuomotor Adaptation Assessed Using Quantitative fMRI.
使用定量功能磁共振成像评估视觉运动适应期间的脑代谢变化。
- DOI:10.3389/fphys.2020.00428
- 发表时间:2020
- 期刊:
- 影响因子:4
- 作者:Foster C
- 通讯作者:Foster C
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Richard Wise其他文献
2899: Can perfusion predict response to treatment in patients undergoing stereotactic radiosurgery?
2899:灌注可以预测接受立体定向放射外科手术的患者对治疗的反应吗?
- DOI:
10.1016/s0167-8140(24)03017-2 - 发表时间:
2024-05-01 - 期刊:
- 影响因子:5.300
- 作者:
Najmus S. Iqbal;Richard Wise;Maeve Williams;John N. Staffurth;James R. Powell - 通讯作者:
James R. Powell
Extracting drug mechanism and pharmacodynamic information from clinical electroencephalographic data using generalised semi-linear canonical correlation analysis
使用广义半线性典型相关分析从临床脑电图数据中提取药物机制和药效学信息
- DOI:
- 发表时间:
2014 - 期刊:
- 影响因子:3.2
- 作者:
P. Brain;F. Strimenopoulou;Ana Diukova;E. Berry;A. Jolly;Judith Elizabeth Hall;Richard Wise;M. Ivarsson;F. Wilson - 通讯作者:
F. Wilson
4507 QSM Mapping Reveals Unique Vascular Signatures in Different Glioma Subtypes
4507 QSM成像揭示不同胶质瘤亚型中独特的血管特征
- DOI:
10.1016/s0167-8140(25)03426-7 - 发表时间:
2025-05-01 - 期刊:
- 影响因子:5.300
- 作者:
Najmus S. Iqbal;Eleonora Patitucci;Stefano Zappala;James Powell;Richard Wise;Michael Germuska - 通讯作者:
Michael Germuska
The accumulation of five quinolone antibacterial agents by Escherichia coli.
大肠杆菌积累五种喹诺酮类抗菌剂。
- DOI:
- 发表时间:
1990 - 期刊:
- 影响因子:5.2
- 作者:
J. Diver;L. Piddock;Richard Wise - 通讯作者:
Richard Wise
Model-based systems engineering: application and lessons from a technology maturation project
基于模型的系统工程:技术成熟项目的应用和经验教训
- DOI:
10.1016/j.procs.2019.05.071 - 发表时间:
2019 - 期刊:
- 影响因子:0
- 作者:
B. Cole;Vikram Mittal;Stephen E. Gillespie;Nguyen La;Richard Wise;Alex D. MacCalman - 通讯作者:
Alex D. MacCalman
Richard Wise的其他文献
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{{ truncateString('Richard Wise', 18)}}的其他基金
An integrated MRI tool to map brain microvascular and metabolic function: improving imaging diagnostics for human brain disease
绘制大脑微血管和代谢功能的集成 MRI 工具:改善人脑疾病的成像诊断
- 批准号:
EP/S025901/1 - 财政年份:2020
- 资助金额:
$ 74.61万 - 项目类别:
Research Grant
MICA: Ultra-High Field MRI: Advancing Clinical Neuroscientific Research in Experimental Medicine
MICA:超高场 MRI:推进实验医学的临床神经科学研究
- 批准号:
MR/M008932/1 - 财政年份:2015
- 资助金额:
$ 74.61万 - 项目类别:
Research Grant
Improving EEG reading of brain states for clinical applications using a data-driven joint model of FMRI and EEG
使用数据驱动的 FMRI 和 EEG 联合模型改善临床应用中脑状态的 EEG 读取
- 批准号:
EP/I01487X/1 - 财政年份:2011
- 资助金额:
$ 74.61万 - 项目类别:
Research Grant
Pharmacological neuroimaging: assessing FMRI as a biomarker of changes in neuronal activity using combined EEG and FMRI
药理学神经影像学:结合 EEG 和 FMRI 评估 FMRI 作为神经元活动变化的生物标志物
- 批准号:
G120/969/2 - 财政年份:2006
- 资助金额:
$ 74.61万 - 项目类别:
Fellowship
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