Cerebrovascular imaging of mild cognitive impairment with suspected non-amyloid pathology
疑似非淀粉样蛋白病理的轻度认知障碍的脑血管成像
基本信息
- 批准号:10116229
- 负责人:
- 金额:$ 12.32万
- 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:2017-04-01 至 2022-06-30
- 项目状态:已结题
- 来源:
- 关键词:AddressAlzheimer&aposs DiseaseAlzheimer&aposs disease pathologyAlzheimer&aposs disease riskAmyloidAmyloid beta-ProteinBlood VesselsBrainBrain regionCerebrovascular CirculationCognitionCognitiveCognitive deficitsComplementDegenerative DisorderDementiaDevelopmentDiagnosticDiagnostic ImagingDiseaseEarly InterventionElderlyEnsureFunctional Magnetic Resonance ImagingFutureGoalsImageImage AnalysisKineticsLesionMagnetic Resonance ImagingMeasurementMeasuresMedialMentored Research Scientist Development AwardMentorsMetabolicMultimodal ImagingNerve DegenerationNeurologyOutcomeParietalPathologyPatternPerfusionPhysicsPhysiologicalPopulationPopulations at RiskPositron-Emission TomographyProcessPublicationsReportingResearchRoleS-nitro-N-acetylpenicillamineScanningScientistSecureSignal TransductionSpatial DistributionSpin LabelsStructureSymptomsSystemTestingTherapeuticTissuesTracerTrainingUniversitiesVascular EndotheliumVascular remodelingWashingtonWhite Matter HyperintensityWorkamnestic mild cognitive impairmentamyloid pathologybaseblood oxygen level dependentcareercerebrovascularcerebrovascular imagingcohortcombinatorialcomputerized data processingfollow-uphigh riskhippocampal atrophyimaging biomarkerimaging modalityimaging scientistinnovationinsightmagnetic resonance imaging biomarkermild cognitive impairmentmultimodalitypre-clinicalresponseskillstargeted treatmenttau Proteinstherapy developmentvascular abnormalitywhite matter
项目摘要
ABSTRACT
The overall goal of this proposal is to compare vascular markers between amnestic mild cognitive impairment (MCI)
subjects with amyloid or Alzheimer’s disease (AD) pathology, and the newly identified MCI subjects with suspected
non-amyloid pathology (SNAP-MCI). The innovation of this work is that we will explore vascular pathology and its
role as a driver of cognitive deficits in this new cohort. Compared to the amyloid positive MCI subjects, SNAP-MCI
subjects show similar neurodegeneration, similar amnestic symptoms, but normal amyloid accumulation in the brain.
The higher burden of white matter hyperintensities in SNAP-MCI suggests vascular involvement in the disease
mechanism. However, not much is known regarding vascular abnormalities in this group. To address this gap, we
will compare cerebral blood flow (Aim 1) and cerebrovascular reserve (Aim 2) between cognitively normal older
adults, amyloid positive MCI subjects, and SNAP-MCI subjects from the University of Washington AD Research
Center (directed by primary mentor, Grabowski). We will then repeat these measurements after 18-24 months to
track longitudinal changes (Aim 3). We will assess the co-localization of the vascular and amyloid pathologies using
amyloid positron emission tomography (PET, Training Aim 4). We hypothesize that amyloid positive MCI subjects
will have the lowest cerebral blood flow and vascular reserve due to the dual effects of amyloid and
neurodegeneration. Importantly, the presence of vascular pathology in SNAP-MCI subjects will underline the role of
a non-amyloid, vascular mechanism initiating dementia of Alzheimer type. We will apply arterial spin labeling
magnetic resonance imaging (MRI) to estimate cerebral blood flow. We will use a breath-hold functional MRI
paradigm, validated in our lab, to evaluate cerebrovascular reserve. In a subset of MCI subjects, we will perform
dynamic PET imaging to determine R1, i.e., PET measure of CBF, and correlate it with our MRI measure of CBF.
We will use the static Florbetapir 18F PET images for a semi-quantitative regional analysis of amyloid accumulation.
The significance of this work is that it will enable us to identify vascular targets for early intervention. Our future work
will focus on applying tau PET to determine neurodegeneration patterns that are specific to SNAP-MCI and their
relation to vascular abnormalities. Candidate: The long-term goal of the candidate is to become a leader in AD
imaging research. The candidate has a strong technical background in MRI physics, data processing, and analyses.
She firmly believes that a multi-modal analysis is the key to bridge the systems-level MRI markers with the cellular
level PET markers for a better understanding of AD mechanisms. To complement her technical background, she
will take courses in neurology, allowing her to formulate and test well-informed hypotheses for degenerative disease
mechanisms. She will secure new skills in static and dynamic PET analyses, as well as PET-MRI image fusion. She
has provided a detailed plan for her research publications and first R01 submission. The candidate’s mentors will
ensure that she is well-prepared to launch her independent career as an imaging research scientist.
抽象的
该提案的总体目的是比较宽松的轻度认知障碍(MCI)之间的血管标记。
患有淀粉样蛋白或阿尔茨海默氏病(AD)病理学的受试者,以及新确定的MCI受试者
非淀粉样病理学(SNAP-MCI)。
作为时间队列中的认知缺陷的角色与Amazlloid阳性受试者相比
受试者显示出相似的神经变性,相似的扎动症状,但淀粉样蛋白在大脑中的积累正常。
SNAP-MCI中白质超强度的较高负担表明血管参与该疾病
但是,关于该组的血管异常,知之甚少。
将比较大脑血流(AIM 1)和脑血管储备(AIM 2)在认知正常之间
华盛顿大学广告研究
中心(由Grabowski主导,我们将在18-24个月后重复这些测量
跟踪纵向变化(AIM 3)。
淀粉样蛋白排放层析成像(PET,训练目标4)。
由于淀粉样蛋白和
神经变性。
一种非淀粉样蛋白的血管机制,启动了阿尔茨海默氏症的痴呆症。
磁共振成像(MRI)估计大脑血流。
在我们的实验室中验证的范式,以评估MCI受试者子集中的脑储备。
动态PET成像确定R1,即CBF的PET度量,并将其与我们的MRI度量CBF相关。
我们将使用静态Florbetapir 18F PET图像进行淀粉样蛋白积累的半定量区域分析。
这项工作的意义在于,它将使我们能够确定早期干预的血管靶标。
将专注于应用tau PET来确定特定于SNAP-MCI及其的神经变性模式
与血管异常有关。
成像研究。
她坚信,多模式分析是桥接系统级MRI标记的关键
宠物标记以更好地理解广告机制。
将参加神经病学课程,使她能够为退行性疾病制定和检验明智的假设
机制。
为她的研究出版物和第一个R01提交提供了详细的计划。
确保她为作为成像研究科学家的职业做好准备。
项目成果
期刊论文数量(4)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
MRI techniques to measure arterial and venous cerebral blood volume.
- DOI:10.1016/j.neuroimage.2018.02.027
- 发表时间:2019-02-15
- 期刊:
- 影响因子:5.7
- 作者:Hua J;Liu P;Kim T;Donahue M;Rane S;Chen JJ;Qin Q;Kim SG
- 通讯作者:Kim SG
Resting-State Cerebello-Cortical Dysfunction in Parkinson's Disease.
- DOI:10.3389/fneur.2020.594213
- 发表时间:2020
- 期刊:
- 影响因子:3.4
- 作者:Palmer WC;Cholerton BA;Zabetian CP;Montine TJ;Grabowski TJ;Rane S
- 通讯作者:Rane S
Extracting Reproducible Time-Resolved Resting State Networks Using Dynamic Mode Decomposition
- DOI:10.3389/fncom.2019.00075
- 发表时间:2019-10-31
- 期刊:
- 影响因子:3.2
- 作者:Kunert-Graf, James M.;Eschenburg, Kristian M.;Brunton, Bingni W.
- 通讯作者:Brunton, Bingni W.
Arterial spin labeling detects perfusion patterns related to motor symptoms in Parkinson's disease.
- DOI:10.1016/j.parkreldis.2020.05.014
- 发表时间:2020-07
- 期刊:
- 影响因子:4.1
- 作者:Rane S;Koh N;Oakley J;Caso C;Zabetian CP;Cholerton B;Montine TJ;Grabowski T
- 通讯作者:Grabowski T
{{
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 }}
Swati Rane其他文献
Swati Rane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('Swati Rane', 18)}}的其他基金
Pathological mechanisms of white matter hyperintensities
白质高信号的病理机制
- 批准号:
10297644 - 财政年份:2021
- 资助金额:
$ 12.32万 - 项目类别:
Pathological mechanisms of white matter hyperintensities
白质高信号的病理机制
- 批准号:
10631136 - 财政年份:2021
- 资助金额:
$ 12.32万 - 项目类别:
相似海外基金
Uncovering Mechanisms of Racial Inequalities in ADRD: Psychosocial Risk and Resilience Factors for White Matter Integrity
揭示 ADRD 中种族不平等的机制:心理社会风险和白质完整性的弹性因素
- 批准号:
10676358 - 财政年份:2024
- 资助金额:
$ 12.32万 - 项目类别:
The Proactive and Reactive Neuromechanics of Instability in Aging and Dementia with Lewy Bodies
衰老和路易体痴呆中不稳定的主动和反应神经力学
- 批准号:
10749539 - 财政年份:2024
- 资助金额:
$ 12.32万 - 项目类别:
Fluency from Flesh to Filament: Collation, Representation, and Analysis of Multi-Scale Neuroimaging data to Characterize and Diagnose Alzheimer's Disease
从肉体到细丝的流畅性:多尺度神经影像数据的整理、表示和分析,以表征和诊断阿尔茨海默病
- 批准号:
10462257 - 财政年份:2023
- 资助金额:
$ 12.32万 - 项目类别: