Standardization of analysis sets for reporting results from ADNI MRI data

Bradley T. Wyman, Danielle J. Harvey, Karen Crawford, Matt A. Bernstein, Owen Carmichael, Patricia E. Cole, Paul K. Crane, Charles Decarli, Nick C. Fox, Jeffrey L. Gunter, Derek Hill, Ronald J. Killiany, Chahin Pachai, Adam J. Schwarz, Norbert Schuff, Matthew L. Senjem, Joyce Suhy, Paul M. Thompson, Michael Weiner, Clifford R. Jack

Research output: Contribution to journalComment/debatepeer-review

107 Scopus citations


The Alzheimer's Disease Neuroimaging Initiative (ADNI) three-dimensional T1-weighted magnetic resonance imaging (MRI) acquisitions provide a rich data set for developing and testing analysis techniques for extracting structural endpoints. To promote greater rigor in analysis and meaningful comparison of different algorithms, the ADNI MRI Core has created standardized analysis sets of data comprising scans that met minimum quality control requirements. We encourage researchers to test and report their techniques against these data. Standard analysis sets of volumetric scans from ADNI-1 have been created, comprising screening visits, 1-year completers (subjects who all have screening, 6- and 12-month scans), 2-year annual completers (screening, 1-year and 2-year scans), 2-year completers (screening, 6-months, 1-year, 18-months [mild cognitive impaired (MCI) only], and 2-year scans), and complete visits (screening, 6-month, 1-year, 18-month [MCI only], 2-year, and 3-year [normal and MCI only] scans). As the ADNI-GO/ADNI-2 data become available, updated standard analysis sets will be posted regularly.

Original languageEnglish (US)
Pages (from-to)332-337
Number of pages6
JournalAlzheimer's and Dementia
Issue number3
StatePublished - May 2013


  • ADNI
  • Alzheimer's disease
  • Analysis standards
  • Biomarkers
  • Magnetic resonance imaging

ASJC Scopus subject areas

  • Clinical Neurology
  • Geriatrics and Gerontology
  • Psychiatry and Mental health
  • Cellular and Molecular Neuroscience
  • Health Policy
  • Developmental Neuroscience
  • Epidemiology


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