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Overview of ADNI MRI.
Jack, Clifford R; Arani, Arvin; Borowski, Bret J; Cash, Dave M; Crawford, Karen; Das, Sandhitsu R; DeCarli, Charles; Fletcher, Evan; Fox, Nick C; Gunter, Jeffrey L; Ittyerah, Ranjit; Harvey, Danielle J; Jahanshad, Neda; Maillard, Pauline; Malone, Ian B; Nir, Talia M; Reid, Robert I; Reyes, Denise A; Schwarz, Christopher G; Senjem, Matthew L; Thomas, David L; Thompson, Paul M; Tosun, Duygu; Yushkevich, Paul A; Ward, Chadwick P; Weiner, Michael W.
Affiliation
  • Jack CR; Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA.
  • Arani A; Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA.
  • Borowski BJ; Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA.
  • Cash DM; Dementia Research Centre, University College London Institute of Neurology, Queen Square, London, UK.
  • Crawford K; Laboratory of Neuro Imaging (LONI), University of Southern California, Los Angeles, California, USA.
  • Das SR; Department of Neurology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
  • DeCarli C; Department of Neurology, University of California, Davis, California, USA.
  • Fletcher E; Department of Neurology, University of California, Davis, California, USA.
  • Fox NC; Dementia Research Centre, University College London Institute of Neurology, Queen Square, London, UK.
  • Gunter JL; Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA.
  • Ittyerah R; Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
  • Harvey DJ; Department of Public Health Sciences, Division of Biostatistics, University of California, Davis, California, USA.
  • Jahanshad N; Keck School of Medicine of USC, Los Angeles, California, USA.
  • Maillard P; Department of Neurology, University of California, Davis, California, USA.
  • Malone IB; Dementia Research Centre, University College London Institute of Neurology, Queen Square, London, UK.
  • Nir TM; Keck School of Medicine of USC, Los Angeles, California, USA.
  • Reid RI; Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA.
  • Reyes DA; Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA.
  • Schwarz CG; Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA.
  • Senjem ML; Department of Information Technology, Mayo Clinic, Rochester, Minnesota, USA.
  • Thomas DL; Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology, London, UK.
  • Thompson PM; Laboratory of Neuro Imaging (LONI), University of Southern California, Los Angeles, California, USA.
  • Tosun D; Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California, USA.
  • Yushkevich PA; Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
  • Ward CP; Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA.
  • Weiner MW; Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California, USA.
Alzheimers Dement ; 2024 Sep 11.
Article in En | MEDLINE | ID: mdl-39258539
ABSTRACT
The magnetic resonance imaging (MRI) Core has been operating since Alzheimer's Disease Neuroimaging Initiative's (ADNI) inception, providing 20 years of data including reliable, multi-platform standardized protocols, carefully curated image data, and quantitative measures provided by expert investigators. The overarching purposes of the MRI Core include (1) optimizing and standardizing MRI acquisition methods, which have been adopted by many multicenter studies and trials worldwide and (2) providing curated images and numeric summary values from relevant MRI sequences/contrasts to the scientific community. Over time, ADNI MRI has become increasingly complex. To remain technically current, the ADNI MRI protocol has changed substantially over the past two decades. The ADNI 4 protocol contains nine different imaging types (e.g., three dimensional [3D] T1-weighted and fluid-attenuated inversion recovery [FLAIR]). Our view is that the ADNI MRI data are a greatly underutilized resource. The purpose of this paper is to educate the scientific community on ADNI MRI methods and content to promote greater awareness, accessibility, and use. HIGHLIGHTS The MRI Core provides multi-platform standardized protocols, carefully curated image data, and quantitative analysis by expert groups. The ADNI MRI protocol has undergone major changes over the past two decades to remain technically current. As of April 25, 2024, the following numbers of image series are available 17,141 3D T1w; 6877 FLAIR; 3140 T2/PD; 6623 GRE; 3237 dMRI; 2846 ASL; 2968 TF-fMRI; and 2861 HighResHippo (see Table 1 for abbreviations). As of April 25, 2024, the following numbers of quantitative analyses are available FreeSurfer 10,997; BSI 6120; tensor based morphometry (TBM) and TBM-SYN 12,019; WMH 9944; dMRI 1913; ASL 925; TF-fMRI NFQ 2992; and medial temporal subregion volumes 2726 (see Table 4 for abbreviations). ADNI MRI is an underutilized resource that could be more useful to the research community.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Alzheimers Dement Year: 2024 Document type: Article Affiliation country: United States Country of publication: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Alzheimers Dement Year: 2024 Document type: Article Affiliation country: United States Country of publication: United States