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Magnetic resonance imaging in Alzheimer’s disease neuroimaging initiative 2
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INTRODUCTION: Alzheimer's Disease Neuroimaging Initiative (ADNI) is now in its 10th year. The primary objective of the magnetic resonance imaging (MRI) core of ADNI has been to improve methods for clinical trials in Alzheimer's disease (AD) and related disorders. METHODS: We review the contributions of the MRI core from present and past cycles of ADNI (ADNI-1, -Grand Opportunity and -2). We also review plans for the future-ADNI-3. RESULTS: Contributions of the MRI core include creating standardized acquisition protocols and quality control methods; examining the effect of technical features of image acquisition and analysis on outcome metrics; deriving sample size estimates for future trials based on those outcomes; and piloting the potential utility of MR perfusion, diffusion, and functional connectivity measures in multicenter clinical trials. DISCUSSION: Over the past decade the MRI core of ADNI has fulfilled its mandate of improving methods for clinical trials in AD and will continue to do so in the future.
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“ADNI’s second phase (ADNI2) introduced to the initiative the use of diffusion-weighted MRI (dMRI) as an additional approach for tracking AD progression (Jack et al., 2015).”
From Diffusion MRI Indices and Their Relation to Cognitive Impairment in Brain Aging: The Updated Multi-protocol Approach in ADNI3 (2019) · cites this paper as Jack et al., 2015
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“The participants recruited for ADNI3 tend to be younger and healthier, on average, than those in ADNI2, as they were recruited with the intention of studying the transition from CN to AD (Jack et al., 2015).”
From Diffusion MRI Indices and Their Relation to Cognitive Impairment in Brain Aging: The Updated Multi-protocol Approach in ADNI3 (2019) · cites this paper as Jack et al., 2015
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Metadata
- Authors
- Jack, C. R., Barnes, J., Bernstein, M. A., Borowski, B. J., Brewer, J., Clegg, S., Dale, A. M., Carmichael, O., Ching, C., DeCarli, C., Desikan, R. S., Fennema‐Notestine, C., Fjell, A. M., Fletcher, E., Fox, N. C., Gunter, J., Gutman, B. A., Holland, D., Hua, X., Insel, P., Kantarci, K., Killiany, R. J., Krueger, G., Leung, K. K., Mackin, S., Maillard, P., Malone, I. B., Mattsson, N., McEvoy, L., Modat, M., Mueller, S., Nosheny, R., Ourselin, S., Schuff, N., Senjem, M. L., Simonson, A., Thompson, P. M., Rettmann, D., Vemuri, P., Walhovd, K., Zhao, Y., Zuk, S., & Weiner, M.
- Affiliations
- Mayo Clinic (US)
- UCL Queen Square Institute of Neurology (GB)
- University of California San Diego (US)
- University of California, Davis (US)
- University of Southern California (US)
- University of Oslo (NO)
- San Francisco VA Medical Center (US)
- Department of Anatomy and Neurobiology Boston University School of Medicine Boston MA USA
- Siemens Medical Solutions Boston MA USA
- University College London (GB)
- University of Gothenburg (SE)
- Department of Neurodegenerative Disease, Dementia Research Centre, Institute of Neurology University College London London UK
- MR Applications and Workflow GE Healthcare Rochester MN USA
- Philips Healthcare Cleveland OH USA
- Corresponding author
- Jack, Clifford R.
- ORCID
- Jack, Clifford R.
- Barnes, Josephine
- Bernstein, Matt A.
- Clegg, Shona
- Dale, Anders M.
- Carmichael, Owen
- Ching, Christopher
- DeCarli, Charles
- Desikan, Rahul S.
- Fennema‐Notestine, Christine
- Fjell, Anders M.
- Fletcher, Evan
- Fox, Nick C.
- Gutman, Boris A.
- Holland, Dominic
- Hua, Xue
- Insel, Philip
- Kantarci, Kejal
- Maillard, Pauline
- Malone, Ian B.
- Mattsson, Niklas
- McEvoy, Linda
- Mueller, Susanne
- Nosheny, Rachel
- Senjem, Matthew L.
- Thompson, Paul M.
- Rettmann, Dan
- Vemuri, Prashanthi
- Walhovd, Kristine
- Zhao, Yansong
- Weiner, Michael
- Venue
- Alzheimer's & Dementia
- Publisher
- Wiley
- Published
- 2015-07
- Volume
- 11
- Issue
- 7
- Pages
- 740-756
- ISSN
- 1552-5260 (ISSN-L)
- 1552-5279
- PMC
- PMC4523217
- OpenAlex
- W2156450079
- Cited by
- 220
- References
- 185
- Citations by year
- 2026: 17 · 2025: 28 · 2024: 32 · 2023: 15 · 2022: 20 · 2021: 29 · 2020: 30 · 2019: 17 · 2018: 14 · 2017: 8 · 2016: 6 · 2015: 3
- FWCI
- 8.40
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Alzheimer s & Dementia (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Funders
- National Institute for Health and Care Research (NF-SI-0513-10134, NF-SI-0508-10123)
- National Institutes of Health (5u01ag024904-10)
- National Institute on Aging (U01-AG-024904, R01AG040060, R01AG011378, R01AG041851)
- National Institute of Mental Health (R01MH098062)
- National Institute of Biomedical Imaging and Bioengineering (P41EB015922)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Alzheimer's disease research and treatments
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Keywords
- Alzheimer's disease, Alzheimer's Disease Neuroimaging Initiative
- MeSH terms
- Alzheimer Disease, Brain, Cognition Disorders, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Spin Labels, Biomarkers, Positron-Emission Tomography, History, 20th Century, History, 21st Century
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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