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International Journal of Alzheimer’s Disease
Volume 2012, Article ID 483469, 8 pages
http://dx.doi.org/10.1155/2012/483469
Clinical Study

A Two-Study Comparison of Clinical and MRI Markers of Transition from Mild Cognitive Impairment to Alzheimer’s Disease

1Division of Geriatric Psychiatry, New York State Psychiatric Institute, College of Physicians and Surgeons, Columbia University, 1051 Riverside Drive, Unit 126, New York, NY 10032, USA
2Gertrude H. Sergievsky Center and Taub Institute for Research in Alzheimer’s Disease and The Aging Brain, Department of Neurology, College of Physicians and Surgeons, Columbia University, 630 West 168th Street, New York, NY 10032, USA
3Department of Biostatistics, Columbia University School of Public Health, 722 West 168th Street, NY 10032, USA

Received 25 August 2011; Revised 20 October 2011; Accepted 25 October 2011

Academic Editor: Anthony Bayer

Copyright © 2012 D. P. Devanand et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [15 citations]

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  • Michael W. Weiner, Enchi Liu, John C. Morris, Ronald C. Petersen, Andrew J. Saykin, Mark E. Schmidt, Leslie Shaw, Li Shen, Judith A. Siuciak, Holly Soares, Arthur W. Toga, Dallas P. Veitch, John Q. Trojanowski, Paul S. Aisen, Laurel A. Beckett, Nigel J. Cairns, Robert C. Green, Danielle Harvey, Clifford R. Jack, and William Jagust, “The Alzheimer's Disease Neuroimaging Initiative: A review of papers published since its inception,” Alzheimer's and Dementia, vol. 9, no. 5, pp. e111–e194, 2013. View at Publisher · View at Google Scholar
  • Val J. Lowe, Patrick J. Peller, Stephen D. Weigand, Catalina Montoya Quintero, Nirubol Tosakulwong, Prashanthi Vemuri, Matthew L. Senjem, Lennon Jordan, Clifford R. Jack, David Knopman, and Ronald C. Petersen, “Application of the National Institute on Aging-Alzheimer's Association AD criteria to ADNI,” Neurology, vol. 80, no. 23, pp. 2130–2137, 2013. View at Publisher · View at Google Scholar
  • Yawu Liu, Hilkka Soininen, Jussi Mattila, Miguel Ángel Muñoz Ruiz, Teemu Paajanen, Juha Koikkalainen, Mark van Gils, Sanna-Kaisa Herukka, Gunhild Waldemar, and Jyrki Lötjönen, “Predicting AD Conversion: Comparison between Prodromal AD Guidelines and Computer Assisted PredictAD Tool,” PLoS ONE, vol. 8, no. 2, 2013. View at Publisher · View at Google Scholar
  • Meredith N. Braskie, and Paul M. Thompson, “A focus on structural brain imaging in the Alzheimer’s Disease Neuroimaging Initiative,” Biological Psychiatry, 2013. View at Publisher · View at Google Scholar
  • J. Carson Smith, Alissa M. Butts, Matthew D. Verber, Kristy A. Nielson, Piero Antuono, Jeri-Annette Lyons, Ryan J. Hanson, and Nathan C. Hantke, “Semantic Memory Functional MRI and Cognitive Function after Exercise Intervention in Mild Cognitive Impairment,” Journal Of Alzheimers Disease, vol. 37, no. 1, pp. 197–215, 2013. View at Publisher · View at Google Scholar
  • Fofi Constantinidou, Ioannis Zaganas, Emmanouil Papastefanakis, Dimitrios Kasselimis, Andreas Nidos, and Panagiotis G. Simos, “Age-Related Decline in Verbal Learning Is Moderated by Demographic Factors, Working Memory Capacity, and Presence of Amnestic Mild Cognitive Impairment,” Journal of The International Neuropsychological Society, vol. 20, no. 8, pp. 822–835, 2014. View at Publisher · View at Google Scholar
  • Deborah E. Barnes, Irena S. Cenzer, Kristine Yaffe, Christine S. Ritchie, and Sei J. Lee, “A point-based tool to predict conversion from mild cognitive impairment to probable Alzheimer's disease,” Alzheimers & Dementia, vol. 10, no. 6, pp. 646–655, 2014. View at Publisher · View at Google Scholar
  • Mark E. Mapstone, Amrita K. Cheema, Massimo S. Fiandaca, and Howard J. Federoff, “The critical need for defining preclinical biomarkers in Alzheimer's disease,” Alzheimer's and Dementia, vol. 10, no. 3, pp. S196–S212, 2014. View at Publisher · View at Google Scholar
  • Jonathan Brouillette, “The effects of soluble Aβ oligomers on neurodegeneration in Alzheimer's disease,” Current Pharmaceutical Design, vol. 20, no. 15, pp. 2506–2519, 2014. View at Publisher · View at Google Scholar
  • Michael W. Weiner, Dallas P. Veitch, Paul S. Aisen, Laurel A. Beckett, Nigel J. Cairns, Jesse Cedarbaum, Robert C. Green, Danielle Harvey, Clifford R. Jack, William Jagust, Johan Luthman, John C. Morris, Ronald C. Petersen, Andrew J. Saykin, Leslie Shaw, Li Shen, Adam Schwarz, Arthur W. Toga, and John Q. Trojanowski, “2014 Update of the Alzheimer's Disease Neuroimaging Initiative: A review of papers published since its inception,” Alzheimer's & Dementia, vol. 11, no. 6, pp. e1–e120, 2015. View at Publisher · View at Google Scholar
  • Tapan K. Khan, and Daniel L. Alkon, “Alzheimer's Disease Cerebrospinal Fluid and Neuroimaging Biomarkers: Diagnostic Accuracy and Relationship to Drug Efficacy,” Journal Of Alzheimers Disease, vol. 46, no. 4, pp. 817–836, 2015. View at Publisher · View at Google Scholar
  • Igor O. Korolev, Laura L. Symonds, and Andrea C. Bozoki, “Predicting Progression from Mild Cognitive Impairment to Alzheimer's Dementia Using Clinical, MRI, and Plasma Biomarkers via Probabilistic Pattern Cla,” Plos One, vol. 11, no. 2, 2016. View at Publisher · View at Google Scholar
  • Hestiantoro, Wiwie, Purba, Shadrina, and Ibrahim, “FSH to estradiol ratio can be used as screening method for mild cognitive impairment in postmenopausal women,” Climacteric, vol. 20, no. 6, pp. 577–582, 2017. View at Publisher · View at Google Scholar
  • Davangere P. Devanand, Xinhua Liu, and Patrick J. Brown, “Impact of Functional Deficits in Instrumental Activities of Daily Living in Mild Cognitive Impairment: A Clinical Algorithm to Predict Progression to Dementia,” Alzheimer Disease and Associated Disorders, vol. 31, no. 1, pp. 55–61, 2017. View at Publisher · View at Google Scholar
  • Bing Wang, Kun Lu, Xiao Zheng, Benyue Su, Yuming Zhou, Peng Chen, and Jun Zhang, “Early stage identification of Alzheimer’s disease using a two-stage ensemble classifier,” Current Bioinformatics, vol. 13, no. 5, pp. 529–535, 2018. View at Publisher · View at Google Scholar