Identification of Essential Areas of the Brain in Pre-Operative Brain Tumor Patients Using BOLD fMRI and Independent Physiological Parameters

使用 BOLD fMRI 和独立生理参数识别术前脑肿瘤患者的大脑重要区域

基本信息

  • 批准号:
    9757731
  • 负责人:
  • 金额:
    $ 13.76万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2017
  • 资助国家:
    美国
  • 起止时间:
    2017-09-01 至 2021-08-31
  • 项目状态:
    已结题

项目摘要

Project Summary: Surgical resection remains the mainstay of the treatment of neurological malignancies. Blood oxygen level dependent functional MRI (BOLD fMRI) can identify essential functional areas of the brain (eloquent cortices) adjacent to brain tumors. BOLD fMRI does not directly detect neuronal activity. Rather, it measures the vascular response that results from increased neuronal activity (neurovascular coupling). It is known that tumor neovasculature reacts to stimuli in a diminished manner. Also, the blood vessels may already be maximally dilated in the setting of a hypoxic malignant tumor. Thus, due to the muted vascular response, the contrast necessary for a reliable fMRI signal appears to be compromised. Therefore, BOLD fMRI appears to be less accurate in the most important location for neurosurgical treatment planning – the area directly adjacent to the tumor. We hypothesize that the location of an abnormal BOLD response (false negative) adjacent to malignant brain tumors can be identified by MRI measurements of abnormal tumor neovasculature, defined by routine MRI data (including perfusion) and vascular reactivity maps, quantified by breath-holding MRI (BH MRI). We further hypothesize that the accuracy of BOLD fMRI in the vicinity of brain tumors can be improved by calibrating the BOLD response by incorporation of BH MRI. The innovation of this grant is to incorporate an independent measurement of cerebrovascular reactivity (BH MRI) into the BOLD fMRI analysis to overcome the false negative activation due to neurovascular uncoupling by tumor neovasculature. Specific Aims: SA1. Determine the relationship between fMRI accuracy and the presence of abnormal tumor neovasculature as defined by anatomical MRI parameters and measurements of vascular reactivity (BH MRI). SA2. Use calibration of the BOLD fMRI data by measurements of vascular reactivity (BH) to compensate for neurovascular uncoupling and increase the accuracy of BOLD fMRI adjacent to tumors. SA3. Determine when independent measurements of vascular reactivity can provide additional information and should be performed to improve the accuracy of BOLD fMRI. Expected outcomes: 1. The accuracy of BOLD fMRI will decrease in the presence of abnormal tumor neovasculature that affects the brain parenchyma. 2. Incorporation of BH MRI into the BOLD fMRI calculations will significantly improve the accuracy of identifying eloquent cortices adjacent to brain tumors with abnormal neovasculature. 3. Patients with tumors which exhibit abnormal parenchyma brain enhancement and perfusion will benefit from incorporation of BH MR into BOLD fMRI calculations. Health relatedness: improve the identification of eloquent cortices adjacent to brain tumors by fMRI, which will have an immediate, positive impact on brain tumor resections. The broad, long-term objectives of the current proposal is not limited to brain tumors, but will extend to other conditions, which affect vascular reactivity and consequently, the accuracy of fMRI, including normal aging and pathological conditions such as arteriovenous malformations, strokes, vascular stenosis, or microvascular disease.
项目概述:手术切除仍然是治疗神经系统恶性肿瘤的主要手段。 血氧水平依赖性功能磁共振成像(BOLD fMRI)可以识别大脑的重要功能区域 (功能皮层)与脑肿瘤相邻。BOLD fMRI并不直接检测神经元的活动。而是 测量由增加的神经元活动(神经血管耦合)引起的血管反应。是 已知肿瘤新生血管以减弱的方式对刺激作出反应。同时,血管可能已经 在低氧恶性肿瘤的情况下最大程度地扩张。因此,由于减弱的血管反应, 可靠的功能磁共振成像信号所需的对比度似乎受到了损害。因此,BOLD fMRI显示 在神经外科治疗计划的最重要位置-直接 靠近肿瘤。我们假设异常BOLD反应(假阴性)的位置 可以通过MRI测量异常肿瘤新生血管来识别恶性脑肿瘤附近, 通过常规MRI数据(包括灌注)和血管反应性图定义,通过屏气定量 MRI(BH MRI)。我们进一步假设,BOLD功能磁共振成像在脑肿瘤附近的准确性, 通过结合BH MRI校准BOLD响应得到改善。这项补助金的创新之处在于 将脑血管反应性的独立测量(BH MRI)纳入BOLD fMRI分析 以克服由于肿瘤新血管系统的神经血管解偶联而引起的假阴性激活。具体 目标:SA 1。确定功能磁共振成像准确性与异常肿瘤存在之间的关系 通过解剖MRI参数和血管反应性测量(BH MRI)定义的新生血管。 SA 2.通过测量血管反应性(BH)来校准BOLD fMRI数据, 神经血管解偶联,并增加肿瘤附近BOLD fMRI的准确性。SA 3.确定何时 血管反应性的独立测量可以提供额外的信息, 来提高BOLD功能磁共振成像的准确性预期成果:1. BOLD功能磁共振成像的准确性将下降, 影响脑实质的异常肿瘤新生血管的存在。2.加入BH MRI BOLD功能磁共振成像计算将显着提高识别功能皮层相邻的准确性, 有异常新生血管的脑肿瘤3.肿瘤实质异常的患者 脑增强和灌注将受益于BH MR结合到BOLD fMRI计算中。 健康相关性:通过功能磁共振成像提高对脑肿瘤附近功能皮层的识别, 对脑肿瘤切除术有直接的积极影响。广泛的长期目标, 目前的建议不仅限于脑肿瘤,但将扩展到其他条件,影响血管 反应性,因此,功能磁共振成像的准确性,包括正常老化和病理条件,如 动静脉畸形、中风、血管狭窄或微血管疾病。

项目成果

期刊论文数量(5)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Language reorganization in patients with left-hemispheric gliomas is associated with increased cortical volume in language-related areas and in the default mode network.
  • DOI:
    10.1016/j.cortex.2022.09.014
  • 发表时间:
    2022-12
  • 期刊:
  • 影响因子:
    3.6
  • 作者:
    Pasquini, Luca;Jenabi, Mehrnaz;Peck, Kyung K.;Holodny, Andrei I.
  • 通讯作者:
    Holodny, Andrei I.
T1-Weighted Dynamic Contrast-Enhanced MR Perfusion Imaging Characterizes Tumor Response to Radiation Therapy in Chordoma.
  • DOI:
    10.3174/ajnr.a5383
  • 发表时间:
    2017-11
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Santos P;Peck KK;Arevalo-Perez J;Karimi S;Lis E;Yamada Y;Holodny AI;Lyo J
  • 通讯作者:
    Lyo J
[Evaluation of vascular reactivity to overcome limitations of neurovascular uncoupling in BOLD fMRI of malignant brain tumors].
[评估血管反应性以克服恶性脑肿瘤 BOLD fMRI 中神经血管解偶联的局限性]。
  • DOI:
    10.17116/neiro20188205121
  • 发表时间:
    2018
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Pronin,IN;Batalov,AI;Zakharova,NE;Fadeeva,LM;Pogosbekyan,EL;Goryaynov,SA;Buklina,SB;Ogurtsova,AA;Kulikov,AS;Rodionov,PV;Voss,HU;Peck,KK;Holodny,AI;Potapov,AA
  • 通讯作者:
    Potapov,AA
A vascular-task response dependency and its application in functional imaging of brain tumors.
血管任务反应依赖性及其在脑肿瘤功能成像中的应用。
  • DOI:
    10.1016/j.jneumeth.2019.04.004
  • 发表时间:
    2019
  • 期刊:
  • 影响因子:
    3
  • 作者:
    Voss,HenningU;Peck,KyungK;PetrovichBrennan,NicoleM;Pogosbekyan,EduardL;Zakharova,NataliaE;Batalov,ArtyomI;Pronin,IgorN;Potapov,AlexanderA;Holodny,AndreiI
  • 通讯作者:
    Holodny,AndreiI
{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

ANDREI I HOLODNY其他文献

ANDREI I HOLODNY的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

{{ truncateString('ANDREI I HOLODNY', 18)}}的其他基金

Identification of Essential Areas of the Brain in Pre-Operative Brain Tumor Patients Using BOLD fMRI and Independent Physiological Parameters
使用 BOLD fMRI 和独立生理参数识别术前脑肿瘤患者的大脑重要区域
  • 批准号:
    9381979
  • 财政年份:
    2017
  • 资助金额:
    $ 13.76万
  • 项目类别:
Identification of Essential Areas of the Brain in Pre-Operative Brain Tumor Patients Using BOLD fMRI and Independent Physiological Parameters
使用 BOLD fMRI 和独立生理参数识别术前脑肿瘤患者的大脑重要区域
  • 批准号:
    9546696
  • 财政年份:
    2017
  • 资助金额:
    $ 13.76万
  • 项目类别:
Graph theoretical analysis of the effect of brain tumors on functional MRI networks
脑肿瘤对功能性MRI网络影响的图论分析
  • 批准号:
    9170604
  • 财政年份:
    2016
  • 资助金额:
    $ 13.76万
  • 项目类别:
Graph theoretical analysis of the effect of brain tumors on functional MRI networks
脑肿瘤对功能MRI网络影响的图论分析
  • 批准号:
    9535314
  • 财政年份:
    2016
  • 资助金额:
    $ 13.76万
  • 项目类别:

相似海外基金

Linking Epidermis and Mesophyll Signalling. Anatomy and Impact in Photosynthesis.
连接表皮和叶肉信号传导。
  • 批准号:
    EP/Z000882/1
  • 财政年份:
    2024
  • 资助金额:
    $ 13.76万
  • 项目类别:
    Fellowship
Digging Deeper with AI: Canada-UK-US Partnership for Next-generation Plant Root Anatomy Segmentation
利用人工智能进行更深入的挖掘:加拿大、英国、美国合作开发下一代植物根部解剖分割
  • 批准号:
    BB/Y513908/1
  • 财政年份:
    2024
  • 资助金额:
    $ 13.76万
  • 项目类别:
    Research Grant
Doctoral Dissertation Research: Social and ecological influences on brain anatomy
博士论文研究:社会和生态对大脑解剖学的影响
  • 批准号:
    2235348
  • 财政年份:
    2023
  • 资助金额:
    $ 13.76万
  • 项目类别:
    Standard Grant
Simultaneous development of direct-view and video laryngoscopes based on the anatomy and physiology of the newborn
根据新生儿解剖生理同步开发直视喉镜和视频喉镜
  • 批准号:
    23K11917
  • 财政年份:
    2023
  • 资助金额:
    $ 13.76万
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
Computational comparative anatomy: Translating between species in neuroscience
计算比较解剖学:神经科学中物种之间的翻译
  • 批准号:
    BB/X013227/1
  • 财政年份:
    2023
  • 资助金额:
    $ 13.76万
  • 项目类别:
    Research Grant
computational models and analysis of the retinal anatomy and potentially physiology
视网膜解剖学和潜在生理学的计算模型和分析
  • 批准号:
    2825967
  • 财政年份:
    2023
  • 资助金额:
    $ 13.76万
  • 项目类别:
    Studentship
Genetics of Extreme Phenotypes of OSA and Associated Upper Airway Anatomy
OSA 极端表型的遗传学及相关上呼吸道解剖学
  • 批准号:
    10555809
  • 财政年份:
    2023
  • 资助金额:
    $ 13.76万
  • 项目类别:
Development of a novel visualization, labeling, communication and tracking engine for human anatomy.
开发一种新颖的人体解剖学可视化、标签、通信和跟踪引擎。
  • 批准号:
    10761060
  • 财政年份:
    2023
  • 资助金额:
    $ 13.76万
  • 项目类别:
Understanding the functional anatomy of nociceptive spinal output neurons
了解伤害性脊髓输出神经元的功能解剖结构
  • 批准号:
    10751126
  • 财政年份:
    2023
  • 资助金额:
    $ 13.76万
  • 项目类别:
The Anatomy of Online Reviews: Evidence from the Steam Store
在线评论剖析:来自 Steam 商店的证据
  • 批准号:
    2872725
  • 财政年份:
    2023
  • 资助金额:
    $ 13.76万
  • 项目类别:
    Studentship
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了