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DOI: 10.1002/jmri.21049
¤ OpenAccess: Bronze
This work has “Bronze” OA status. This means it is free to read on the publisher landing page, but without any identifiable license.

The Alzheimer's disease neuroimaging initiative (ADNI): MRI methods

Clifford R. Jack,Matt A. Bernstein,Nick C. Fox,Paul M. Thompson,Gene E. Alexander,Danielle Harvey,Bret Borowski,Paula J. Britson,Jennifer L. Whitwell,Chadwick P. Ward,Anders M. Dale,Joel P. Felmlee,Jeffrey L. Gunter,Derek L. G. Hill,Ronald J. Killiany,Norbert Schuff,Sabrina Fox-Bosetti,Chen Lin,Colin Studholme,Charles DeCarli,Gunnar Krueger,Heidi A. Ward,Gregory J. Metzger,Katherine T. Scott,R. Mallozzi,Daniel J. Blezek,Joshua Levy,Josef P. Debbins,Adam Fleisher,Marilyn Albert,Robert Green,George Bartzokis,Gary H. Glover,John P. Mugler,Michael W. Weiner

Neuroimaging
Alzheimer's Disease Neuroimaging Initiative
Magnetic resonance imaging
2008
The Alzheimer's Disease Neuroimaging Initiative (ADNI) is a longitudinal multisite observational study of healthy elders, mild cognitive impairment (MCI), and Alzheimer's disease. Magnetic resonance imaging (MRI), (18F)-fluorodeoxyglucose positron emission tomography (FDG PET), urine serum, and cerebrospinal fluid (CSF) biomarkers, as well as clinical/psychometric assessments are acquired at multiple time points. All data will be cross-linked and made available to the general scientific community. The purpose of this report is to describe the MRI methods employed in ADNI. The ADNI MRI core established specifications that guided protocol development. A major effort was devoted to evaluating 3D T(1)-weighted sequences for morphometric analyses. Several options for this sequence were optimized for the relevant manufacturer platforms and then compared in a reduced-scale clinical trial. The protocol selected for the ADNI study includes: back-to-back 3D magnetization prepared rapid gradient echo (MP-RAGE) scans; B(1)-calibration scans when applicable; and an axial proton density-T(2) dual contrast (i.e., echo) fast spin echo/turbo spin echo (FSE/TSE) for pathology detection. ADNI MRI methods seek to maximize scientific utility while minimizing the burden placed on participants. The approach taken in ADNI to standardization across sites and platforms of the MRI protocol, postacquisition corrections, and phantom-based monitoring of all scanners could be used as a model for other multisite trials.
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    The Alzheimer's disease neuroimaging initiative (ADNI): MRI methods” is a paper by Clifford R. Jack Matt A. Bernstein Nick C. Fox Paul M. Thompson Gene E. Alexander Danielle Harvey Bret Borowski Paula J. Britson Jennifer L. Whitwell Chadwick P. Ward Anders M. Dale Joel P. Felmlee Jeffrey L. Gunter Derek L. G. Hill Ronald J. Killiany Norbert Schuff Sabrina Fox-Bosetti Chen Lin Colin Studholme Charles DeCarli Gunnar Krueger Heidi A. Ward Gregory J. Metzger Katherine T. Scott R. Mallozzi Daniel J. Blezek Joshua Levy Josef P. Debbins Adam Fleisher Marilyn Albert Robert Green George Bartzokis Gary H. Glover John P. Mugler Michael W. Weiner published in 2008. It has an Open Access status of “bronze”. You can read and download a PDF Full Text of this paper here.