The Alzheimer’s Disease Neuroimaging Initiative: Progress report and future plans
By M. W. Weiner, P. Aisen, Clifford R. Jack Jr., William J Jagust, John Q. Trojanowski, L. Shaw, A. Saykin, John C. Morris, Nigel J. Cairns, L. Beckett and 9 more. Alzheimer's & Dementia, 2010
612 citations recorded by the source corpus.
The Alzheimer's Disease Neuroimaging Initiative (ADNI) beginning in October 2004, is a 6‐year research project that studies changes of cognition, function, brain structure and function, and biomarkers in elderly controls, subjects with mild cognitive impairment, and subjects with Alzheimer's disease (AD). A major goal is to determine and validate MRI, PET images, and cerebrospinal fluid (CSF)/blood biomarkers as predictors and outcomes for use in clinical trials of AD treatments. Structural MRI, FDG PET, C‐11 Pittsburgh compound B (PIB) PET, CSF measurements of amyloid β (Aβ) and species of tau, with clinical/cognitive measurements were performed on elderly controls, subjects with mild cognitive impairment, and subjects with AD. Structural MRI shows high rates of brain atrophy, and has high statistical power for determining treatment effects. FDG PET, C‐11 Pittsburgh compound B PET, and CSF measurements of Aβ and tau were significant predictors of cognitive decline and brain atrophy. All data are available at UCLA/LONI/ADNI, without embargo. ADNI‐like projects started in Australia, Europe, Japan, and Korea. ADNI provides significant new information concerning the progression of AD.
Subfields: Physiology, Psychiatry and Mental health, Radiology, Nuclear Medicine and Imaging
View Paper: https://www.semanticscholar.org/paper/025c9f5d1639d455c9e03781e11cebf439aca468
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Physiology
In Psychiatry and Mental health
In Radiology, Nuclear Medicine and Imaging
Citations in the corpus
- The Alzheimer’s Disease Neuroimaging Initiative: A review of papers published since its inception (2011, neutral): “Toga, responsible for managing data sharing functions [2,3].”
- Identifying Neuroimaging and Proteomic Biomarkers for MCI and AD via the Elastic Net (2011, background): “Further information can be found in [15] and at www.”
- Sparse Multi-Task Regression and Feature Selection to Identify Brain Imaging Predictors for Memory Performance (2011, methodology): “Our research focuses on investigating the relationships between MRI measures and RAVLT memory scores using the Alzheimer’s Disease Neuroimaging Initiative (ADNI) cohort [23].”
- Sparse Bayesian multi-task learning for predicting cognitive outcomes from neuroimaging measures in Alzheimer's disease (2012, methodology): “The proposed method is evaluated in an empirical study using the MRI and cognitive data from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) database [19].”
- Sex Modifies the APOE-Related Risk of Developing Alzheimer's Disease (2014, neutral): “See Weiner et al. 26 for an overview of the ADNI cohort.”