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NEUROIMAGING OF THE AIDS DEMENTIA COMPLEX

NEUROIMAGING OF THE AIDS DEMENTIA COMPLEX
艾滋病痴呆症的神经影像学
批准号:
6243635
负责人:
DAVID Allan ROTTENBERG
金额:
$17.37万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
1997
资助国家:
美国
项目状态:
已结题
起止时间:
1997-02-01 至 1999-01-31

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中文摘要
翻译
该项目描述了定量神经成像的应用和 神经生理学技术在艾滋病痴呆复合体研究中的应用 (ADC)。FDG/PET、自旋回波磁共振和定量脑电/事件相关 将使用电位(ERP‘s)来研究病理生理学 ADC的神经精神症状以及ADC的性质和演变 皮质下痴呆症。使用FDG/PET,我们计划确认和扩展我们的 先前发现的相对皮质下高代谢早期 ADC的进程,并定义代谢协方差模式 敏感的疾病严重程度和进展的量化指标。 由于脑脊液容量的定量MRI测量可能更敏感 HIV感染的存在比主观的萎缩分级更高,并且 开发并验证了一种用于分析的定量MRI方法 从正常志愿者身上获得的一系列MRI扫描,我们建议 使用特征明确的MRI技术进行评估--横断面 以及对无症状和轻度症状的纵向研究 血清阳性--系列抗体的诊断和预后价值 测量脑脊液、灰质和白质的间隔室体积。 最后,标准电生理测量(脑电功率和事件相关电位 在FDG/PET成像期间获得的延迟)将与 疾病严重程度的临床、神经行为和代谢指标 一种评估ADC表面脑电记录潜力的努力 诊断和分期。
英文摘要
This project describes the application of quantitative neuroimaging and neurophysiological techniques to the study of the AIDS dementia complex (ADC). FDG/PET, spin-echo MRI and quantitative EEG/event-related potentials (ERP's) will be employed to investigate the pathophysiology of the neuropsychiatric symptoms of ADC and the nature and evolution of subcortical dementia. Using FDG/PET, we plan to confirm and extend our previous finding of relative subcortical hypermetabolism early in the course of ADC, and to define metabolic covariance patterns that provide sensitive, quantitative indices of disease severity and progression. Since quantitative MRI measures of CSF volume may be more sensitive to the presence of HIV infection than subjective atrophy ratings, and having developed and validated a quantitative MRI method for analyzing serial MRI scans obtained from normal volunteer subjects, we propose to use well-characterized MRI techniques to evaluate -- in cross-sectional and longitudinal studies of asymptomatic and mildly symptomatic seropositives -- the diagnostic and prognostic value of serial measurements of CSF, gray-matter and white-matter compartmental volumes. Finally, standard electrophysiologic measures (EEG power and ERP latency) obtained during FDG/PET imaging will be correlated with clinical, neurobehavioral and metabolic indices of disease severity in an effort to assess the potential of surface EEG recording for ADC diagnosis and staging.
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