4.7 Review

The Alzheimer's Disease Neuroimaging Initiative (ADNI): MRI methods

Journal

JOURNAL OF MAGNETIC RESONANCE IMAGING
Volume 27, Issue 4, Pages 685-691

Publisher

WILEY-BLACKWELL
DOI: 10.1002/jmri.21049

Keywords

MRI; Alzheimer's disease; clinical trials; imaging methods; imaging standardization

Funding

  1. NATIONAL INSTITUTE ON AGING [U01AG024904, P30AG010129, U19AG010483] Funding Source: NIH RePORTER
  2. MRC [G0601846] Funding Source: UKRI
  3. Medical Research Council [G0601846] Funding Source: Medline
  4. NIA NIH HHS [P30 AG010129, U01 AG024904, P30 AG010129-18, U19 AG010483, U01 AG024904-03] Funding Source: Medline

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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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