The purpose of this study is to build upon the information obtained in the original Alzheimer's Disease Neuroimaging Initiative (ADNI1) and ADNI-GO (Grand Opportunity; a study funded through an NIH grant under the American Recovery and Reinvestment Act), to examine how brain imaging technology can be used with other tests to measure the progression of mild cognitive impairment (MCI) and early Alzheimer's disease (AD). ADNI2 seeks to inform the neuroscience of AD. This information will aid in the early detection of AD, and in measuring the effectiveness of treatments in future clinical trials.
The Alzheimer's Disease Neuroimaging Initiative (ADNI) began in October 2004 as a landmark study with a public-private partnership that gathered and analyzed thousands of brain scans, genetic profiles and biomarkers in blood and cerebrospinal fluid (CSF). Although the original goal was to define biomarkers for use in clinical trials to determine the best way to measure treatment effects of Alzheimer's disease (AD), the goal has been expanded to using biomarkers to identify AD at a pre-dementia stage. ADNI1 involves scientists at 59 research centers, 54 in the U.S. and five in Canada. Originally 800 participants were enrolled. This group was comprised of 200 participants with AD, 400 with mild cognitive impairment (MCI) and 200 with normal cognition. In ADNI-GO, an estimated 200 participants with early amnestic MCI (EMCI) were enrolled to understand and characterize the mildest symptomatic phase of AD. An additional 650 participants will be enrolled under ADNI2. Some of the leading-edge technologies under study are brain-imaging techniques, such as positron emission tomography (PET), including FDG-PET (which measures glucose metabolism in the brain); PET using a radioactive compound (Florbetapir F 18) that measures brain beta-amyloid; and structural MRI. Brain scans are showing scientists how the brain's structure and function change as AD starts and progresses. Biomarkers in cerebrospinal fluid are revealing other changes that could identify which patients with MCI will develop Alzheimer's. Scientists are looking at levels of beta-amyloid and tau in cerebrospinal fluid. (Abnormal amounts of the amyloid and tau proteins in the brain are hallmarks of Alzheimer's disease.) ADNI2 extends the work of ADNI1 and ADNI GO to understand the progression of AD. The overall goal is to determine the relationships among the clinical, cognitive, imaging, genetic and biochemical biomarker characteristics of the entire spectrum of AD, as the pathology evolves from normal aging through very mild symptoms, to MCI, to dementia. The overall impact of this study will be increased knowledge concerning the sequence and timing of events leading to MCI and AD, development of better clinical and imaging/fluid biomarker methods for early detection and for monitoring the progression of these conditions, and facilitation of clinical trials to slow disease progression, ultimately contributing to the prevention of AD.
Study Type
OBSERVATIONAL
Enrollment
1,182
Participants will receive a single bolus intravenous injection of 10 mCi (370 MBq) (+/- 10%) florbetapir F18. At approximately 50-minutes post dose, scanning will begin. An approximately 20-minute image acquisition scan will be performed.
Participants will receive a single bolus intravenous injection of 10 mCi (370 MBq) flortaucipir injection followed by a saline flush. At approximately 75-minutes post dose, scanning will begin. An approximately 30-minute image acquisition scan will be performed.
University of Alabama, Birmingham
Birmingham, Alabama, United States
Banner Alzheimer's Institute
Phoenix, Arizona, United States
Banner Sun Health Research Institute
Sun City, Arizona, United States
University of California, Irvine
Irvine, California, United States
University of California, San Diego
La Jolla, California, United States
Rate of volume change of whole brain, hippocampus and other structural MRI measures
Time frame: 5 Years
Rate of Decline as measured by: Cognitive Tests, Activities of Daily Living, and CDR Sum of Boxes
Time frame: 5 Years
Rate of conversion will be evaluated among all five groups
Time frame: 5 Years
Rates of change on each specified biochemical biomarker
Time frame: 5 Years
Rates of change of glucose metabolism (FDG-PET)
Time frame: 5 Years
Extent of amyloid deposition as measured by Florbetapir F 18
Time frame: 4 Years
Group differences for each imaging and biomarker measurement
Time frame: 5 Years
Correlations among biomarkers and biomarker change
Time frame: 4 Years
APOE genotype, low CSF Aβ42, positive amyloid imaging with florbetapir F 18 (AV-45)
Time frame: 5 Years
Rate of change of tau and extent of tau deposition as measured by flortaucipir (18F-AV-1451)
Time frame: 1 Year
Rate of cognitive decline using computer based testing as measured by Cogstate Brief Battery (CBB)
Time frame: 1 year
This platform is for informational purposes only and does not constitute medical advice. Always consult a qualified healthcare professional.
University of Southern California
Los Angeles, California, United States
University of California, Los Angeles
Los Angeles, California, United States
University of California, Davis
Martinez, California, United States
University of California, Irvine (Brain Imaging Center)
Orange, California, United States
Stanford University / PAIRE
Palo Alto, California, United States
...and 48 more locations