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中文摘要
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项目摘要/摘要--项目1 目前,常见神经退行性疾病的临床诊断有相当大的不确定性。 病理性痴呆综合征[AD、LBD和FTD]死前由于临床异质性(其中 痴呆症的潜在病理与临床综合征不匹配),早期的轻微症状 病程长,混合性痴呆症多发。这项提议的中心目标是开发一种 使用过去和现在ADRC收集的丰富的临床、影像和病理数据的方法 改善痴呆症病理和长期临床生前预测的资金周期 新入院患者的转归。我们的工作假设是,个体受试者的认知 可以基于受试者的多模式成像扫描对性能进行近似建模 病理、认知储备、脑血管病的核磁共振证据和人口学证据。在此基础上 假设,我们计划整合约370名痴呆症患者的临床、病理和影像信息。 有过去和现在的ADRC的尸检诊断和至少一次生前影像检查 周期,并利用这些信息对新来的患者进行诊断和预后。总体方法论 我们将创建它的操作如下:1)在我们的数据库中识别谁是 根据多模式图像、认知储备、血管疾病和 2)使用匹配的受试者来帮助新患者的诊断和预后。
英文摘要
PROJECT SUMMARY / ABSTRACT - PROJECT 1 Presently, there can be considerable uncertainty in the clinical diagnosis of the common neurodegenerative pathological dementia syndromes [AD, LBD and FTD] antemortem because of clinical heterogeneity (wherein the dementia underlying pathology does not match the clinical syndrome), subtle symptoms early in the disease process, and frequent occurrence of mixed dementias. The central aim of this proposal is to develop a methodology that uses the wealth of clinical, imaging and pathology data collected in past and current ADRC funding cycles to improve the antemortem prediction of the dementia pathology and long-term clinical outcomes in new incoming patients. Our working hypothesis is that an individual subject's cognitive performance can be approximately modeled based on the subjects multi-modal imaging scans which are surrogates of pathology, cognitive reserve, MRI evidence of CVD and demographics. Based on this hypothesis, we plan to integrate clinical, pathology and imaging information on about 370+ demented patients with autopsy diagnosis and at least one imaging exam available before death from the past and current ADRC cycles and use this information for diagnosis and prognosis of new incoming patients. The overall methodology which we will create will operate as follows: 1) identify the patients ("matched subjects") in our database who match the new incoming patient based on the multi-modal images, cognitive reserve, vascular disease and demographics and 2) use the matched subjects to aid in the diagnosis and prognosis of the new patient.
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Exceptional Aging: Identifying Modifiers of Alzheimer's Disease Trajectories
  • 批准号:
    9361654
  • 项目类别:
  • 资助金额:
    $79.17万
  • 财政年份:
    2017
  • 负责人:
    PRASHANTHI VEMURI
  • 依托单位:
Investigating Resistance and Resilience Mechanisms in Alzheimer’s Disease
  • 批准号:
    10605784
  • 项目类别:
  • 资助金额:
    $81.03万
  • 财政年份:
    2017
  • 负责人:
    PRASHANTHI VEMURI
  • 依托单位:
Development, Validation, and Application of an Imaging based CVD Scale
  • 批准号:
    9156582
  • 项目类别:
  • 资助金额:
    $53.86万
  • 财政年份:
    2016
  • 负责人:
    PRASHANTHI VEMURI
  • 依托单位:
Development, Validation, and Application of an Imaging based CVD Scale
  • 批准号:
    9335998
  • 项目类别:
  • 资助金额:
    $53.86万
  • 财政年份:
    2016
  • 负责人:
    PRASHANTHI VEMURI
  • 依托单位:
海外基金