PREDICTION OF COGNITIVE DECLINE W/ MRI & MRS

通过 MRI 预测认知能力下降

• 批准号: 8363430
• 负责人: MICHAEL W WEINER
• 金额: $ 2.03万
• 依托单位: UNIVERSITY OF CALIFORNIA LOS ANGELES
• 依托单位国家: 美国
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-08-01 至 2012-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8363430
• 关键词: Alzheimer' s Disease; Atrophic; Brain; Clinical dementia rating scale; Cognitive; Dementia; Funding; Future; Genetic; Goals; Grant; Hippocampus (Brain); Impaired cognition; Magnetic Resonance Imaging; Magnetic Resonance Spectroscopy; Measures; Memory; Metabolic; Metabolism; Methods; Modeling; National Center for Research Resources; Parietal Lobe; Pattern; Perfusion; Predictive Value; Primary Prevention; Principal Investigator; Research; Research Infrastructure; Resources; Scanning; Source; Structure; Techniques; Temporal Lobe; Testing; Time; United States National Institutes of Health; cognitive function; computational anatomy; cost; entorhinal cortex; executive function; gray matter; high risk; improved; research clinical testing

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. Primary support for the subproject and the subproject's principal investigator may have been provided by other sources, including other NIH sources. The Total Cost listed for the subproject likely represents the estimated amount of Center infrastructure utilized by the subproject, not direct funding provided by the NCRR grant to the subproject or subproject staff. The overall goal of this project is to determine the pattern of longitudinal structural, perfusion, and metabolic changes in the brain, which best predict future cognitive decline and dementia due to Alzheimer's disease (AD). Specifically we will determine the predictive "value added" of MRI/MRS to cognitive testing. We will perform longitudinal clinical evaluation, cognitive testing, and MRI/MRS studies on 130 completed non-demented subjects 65 yr, presenting with memory complaints. The independent variables will be obtained from MRI/MRS at 0, 6, 12,and 24 mo. to measure brain structure, perfusion, and metabolism. Dependent variables will be decline of memory and executive function scores, assessed annually. Clinical dementia rating scale and conversion to dementia will be used as secondary dependent variables. The overall hypothesis is that MRI/MRSI predicts cognitive decline/dementia. Hypotheses: 1.) Initial entorhinal cortex (ERC) volume predicts cognitive decline/dementia and ad ds to the predictive value of baseline memory function. 2.) In addition to baseline memory function and ERC volume, rate of ERC atrophy improves prediction of cognitive decline. 3.) The best MRI predictors for memory decline are volume change over time of ERC and hippocampus, and these add to the predictive value of baseline memory function. The best predictors of executive function decline are volume changes in frontal gray matter and these add to the predictive value of baseline cognitive function. 4.) In addition to baseline memory function and changes of ERC volume, perfusion and metabolite (NAA, mI) changes over time in hippocampus temporal and parietal lobe further improve prediction of cognitive decline. In addition to the above hypotheses, we will explore what combination of cognitive, genetic (APOE) and MRI/MRS measures, and what between-scan interval, best predicts subsequent cognitive decline/dementia. This project is expected to improve methods for predicting cognitive decl ine/dementia due to AD; these techniques should identify those subjects at high risk for AD, who are candidates for primary prevention.

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