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Updated: Jun 13, 2025
06:35
Basics of Multivariate Analysis in Neuroimaging Data
Published on: July 24, 2010
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Overview of ADNI MRI
Clifford R Jack1, Arvin Arani1, Bret J Borowski1
1Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA.
Alzheimer'S & Dementia : the Journal of the Alzheimer'S Association
|September 11, 2024
Summary
The Alzheimer's Disease Neuroimaging Initiative (ADNI) MRI Core offers 20 years of standardized imaging data and quantitative analyses. This valuable resource, though underutilized, provides crucial insights for neurodegenerative disease research.
Area of Science:
- Neuroimaging
- Alzheimer's Disease Research
- Data Science
Background:
- The Alzheimer's Disease Neuroimaging Initiative (ADNI) MRI Core has operated for two decades.
- It provides standardized protocols, curated image data, and quantitative measures for Alzheimer's research.
Purpose of the Study:
- To educate the scientific community on ADNI MRI methods and content.
- To promote greater awareness, accessibility, and utilization of ADNI MRI data.
Main Methods:
- Standardized, multi-platform MRI acquisition protocols optimized over time.
- Curated image data from various MRI sequences (e.g., 3D T1-weighted, FLAIR, dMRI).
- Quantitative analyses including FreeSurfer, tensor-based morphometry, and white matter hyperintensity segmentation.
Main Results:
- Extensive data available as of April 25, 2024: over 17,000 3D T1w images and thousands of other series.
- Numerous quantitative analyses are accessible, with FreeSurfer and tensor-based morphometry exceeding 10,000 datasets.
- The ADNI MRI dataset represents a significantly underutilized resource for the research community.
Conclusions:
- The ADNI MRI Core has evolved its protocols to remain current over 20 years.
- The vast repository of imaging data and quantitative measures is available to researchers.
- Increased awareness and utilization of ADNI MRI data can advance neurodegenerative disease research.
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