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Review
. 2012 Feb;22(1):107-18, ix.
doi: 10.1016/j.nic.2011.11.008. Epub 2011 Dec 17.

The clinical value of large neuroimaging data sets in Alzheimer's disease

Arthur W Toga  1
Affiliations
Review

The clinical value of large neuroimaging data sets in Alzheimer's disease

Arthur W Toga. Neuroimaging Clin N Am. 2012 Feb.

Abstract

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.

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Figures

Figure 1
Figure 1
Clinical and imaging data flows from the acquisition sites into separate clinical and imaging databases. Quality assessments and preprocessed images are generated by the imaging cores and returned to the central archive where image analysts obtain, process, and return to the archive further derived image data and results.
Figure 2
Figure 2
The ADNI Data Collections interface provides access to shared data collections and is organized to meet the workflow needs of the analysts. The ability to easily select only images not previously downloaded by the user saves time and effort.
Figure 3
Figure 3
This interface enables creation of groups from complex queries and comparison in a variety of graphical formats.
See this image and copyright information in PMC

References

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