The Clinical Value of Large Neuroimaging Data Sets in Alzheimer's Disease

被引:10
|
作者
Toga, Arthur W. [1 ]
机构
[1] Univ Calif Los Angeles, David Geffen Sch Med, Dept Neurol, Lab Neuro Imaging, Los Angeles, CA 90095 USA
基金
美国国家卫生研究院;
关键词
Neuroimaging; Database; Alzheimer's disease; Informatics; MILD COGNITIVE IMPAIRMENT; TENSOR-BASED MORPHOMETRY; HIPPOCAMPAL ATROPHY; INITIATIVE PROGRESS; BIOMARKERS; MRI; ADNI; RATES; PREDICTION; CONVERSION;
D O I
10.1016/j.nic.2011.11.008
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Rapid advances in neuroimaging and cyberinfrastructure technologies have brought explosive growth in the Web-based warehousing, availability, and accessibility of imaging data on a variety of neurodegenerative and neuropsychiatric disorders and conditions. There has been a prolific development and emergence of complex computational infrastructures that serve as repositories of databases and provide critical functionalities such as sophisticated image analysis algorithm pipelines and powerful three-dimensional visualization and statistical tools. The statistical and operational advantages of collaborative, distributed team science in the form of multisite consortia push this approach in a diverse range of population-based investigations.
引用
收藏
页码:107 / +
页数:13
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