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Magnetic resonance imaging in Alzheimer’s disease neuroimaging initiative 2
Open accessAbstract
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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Cognitive reserve and Alzheimer's disease biomarkers are independent determinants of cognition
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Self-citationVascular burden and Alzheimer disease pathologic progression
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Self-citationShapes of the Trajectories of 5 Major Biomarkers of Alzheimer Disease
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Self-citation3D PIB and CSF biomarker associations with hippocampal atrophy in ADNI subjects
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Self-citationIntensity non-uniformity correction using N3 on 3-T scanners with multichannel phased array coils
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Self-citationPreclinical AD predicts decline in memory and executive functions in subjective complaints
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Mild cognitive impairment with suspected nonamyloid pathology (SNAP): Prediction of progression
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Self-citationAmyloid-β–Associated Clinical Decline Occurs Only in the Presence of Elevated P-tau
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Self-citationRates of β-amyloid accumulation are independent of hippocampal neurodegeneration
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Self-citationContrast optimization of fluid‐attenuated inversion recovery (flair) imaging
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Self-citationBiological heterogeneity in ADNI amnestic mild cognitive impairment
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Self-citationSpatial patterns of brain amyloid- burden and atrophy rate associations in mild cognitive impairment
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Self-citationAmyloid‐β associated volume loss occurs only in the presence of phospho‐tau
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Self-citationNonlinear registration of longitudinal images and measurement of change in regions of interest
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Self-citationBrain Atrophy in Healthy Aging Is Related to CSF Levels of Aβ1-42
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Self-citationRates of Decline in Alzheimer Disease Decrease with Age
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Self-citationBrain connectivity and novel network measures for Alzheimer's disease classification
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Self-citationNeuronal injury biomarkers and prognosis in ADNI subjects with normal cognition
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Self-citationUnbiased comparison of sample size estimates from longitudinal structural measures in ADNI
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Self-citationReduced sample sizes for atrophy outcomes in Alzheimer's disease trials: baseline adjustment
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Self-citationAccurate measurement of brain changes in longitudinal MRI scans using tensor-based morphometry
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Self-citationNonlinear time course of brain volume loss in cognitively normal and impaired elders
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Self-citationThe Role of Clusterin in Amyloid-β–Associated Neurodegeneration
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Self-citationAlgorithms, atrophy and Alzheimer's disease: Cautionary tales for clinical trials
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Focal hemosiderin deposits and β‐amyloid load in the ADNI cohort
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Self-citationEnrichment and Stratification for Predementia Alzheimer Disease Clinical Trials
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Self-citationEmerging β-amyloid pathology and accelerated cortical atrophy
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Self-citationConsistent multi-time-point brain atrophy estimation from the boundary shift integral
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Self-citationHomocysteine effects on brain volumes mapped in 732 elderly individuals
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Self-citationVentricular maps in 804 ADNI subjects: correlations with CSF biomarkers and clinical decline
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Self-citationDissociable Effects of Alzheimer Disease and White Matter Hyperintensities on Brain Metabolism
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Self-citationAPOE ε4 Is Associated with Disproportionate Progressive Hippocampal Atrophy in AD
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Self-citationHeart fatty acid binding protein and Aβ-associated Alzheimer’s neurodegeneration
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Self-citationComparison of phantom and registration scaling corrections using the ADNI cohort
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Self-citationHarmonized benchmark labels of the hippocampus on magnetic resonance: The EADC‐ADNI project
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Self-citationBrain structure and function as mediators of the effects of amyloid on memory
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Self-citationThe transitional association between β‐amyloid pathology and regional brain atrophy
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Self-citationAlzheimer's disease disrupts rich club organization in brain connectivity networks
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Self-citationApplication of the National Institute on Aging-Alzheimer's Association AD criteria to ADNI
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Self-citationVisual ratings of atrophy in MCI: prediction of conversion and relationship with CSF biomarkers
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Self-citationFat-mass-related hormone, plasma leptin, predicts brain volumes in the elderly
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Self-citationNeuroimaging Enrichment Strategy for Secondary Prevention Trials in Alzheimer Disease
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Self-citationPredicting Reduction of Cerebrospinal Fluid β-Amyloid 42 in Cognitively Healthy Controls
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Self-citationNeuroimaging predictors of brain amyloidosis in mild cognitive impairment
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Self-citationUsing Manifold Learning for Atlas Selection in Multi-Atlas Segmentation
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Self-citationTREM2 Risk Variant and Loss of Brain Tissue
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Self-citation
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
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