ADNI Publications

(ADNI - the Alzheimer's Disease Neuroimaging Initiative - is one of several Alzheimer's disease projects we are involved in. We are investigating how the brain changes in Alzheimer's disease using imaging. Here are some papers we published as part of the ADNI study)


    Journal Articles

  1. Kohannim O, Hua X, Hibar DP, Lee S, Chou YY, Toga AW, Jack CR, Weiner MW, Thompson PM (2010). Boosting power for clinical trials using classifiers based on multiple biomarkers, Neurobiology of Aging, Special Issue on ADNI, June 2010.

    Here we show how to use brain scans to predict how the brain will degenerate in the future, and use the predictions to boost power in a clinical trial.

  2. Hua X, Hibar DP, Lee S, Toga AW, Jack CR, Weiner MW, Thompson PM (2010). Sex and age differences in brain atrophic rates: an ADNI study with N=1368 MRI scans, Neurobiology of Aging, Special Issue on ADNI, June 2010.

    Here we found sex and age differences in the rate of brain tissue loss, using 1368 MRI scans; women lost brain tissue faster than men.

  3. Ho AJ, Raji CA, Becker JL, Lopez OL, Kuller LH, Hua X, Lee S, Hibar D, Dinov ID, Stein JL, Jack CR, Weiner MW, Toga AW, Thompson PM (2010). Obesity and brain structure in 700 MCI and AD patients, Neurobiology of Aging, Special Issue on ADNI, June 2010.

    Here we show that overweight people have greater brain tissue loss.

  4. Madsen SK, Ho AJ, Hua X, Saharan PS, Toga AW, Jack CR, Weiner MW, Thompson PM and the Alzheimer's Disease Neuroimaging Initiative (2010). Caudate Atrophy and Clinical Correlates in 400 Alzheimer's Disease, MCI, and Healthy Elderly Subjects, Neurobiology of Aging, Special Issue on ADNI, June 2010.

    Here we mapped the profile of caudate atrophy in Alzheimer's disease patients and those at risk.

  5. Chou YY, Lepore N, Saharan P, Madsen SK, Hua X, Jack CR, Shaw LM, Trojanowski JQ, Weiner MW, Toga AW, Thompson PM and the Alzheimer's Disease Neuroimaging Initiative (2010). Ranking the Clinical and Pathological Correlates of Ventricular Expansion Mapped in 804 Alzheimer's Disease, MCI, and Normal Elderly Subjects , Neurobiology of Aging, Special Issue on ADNI, June 2010.

    Here we studied the correlates of ventricular expansion in Alzheimer's disease patients and those at risk.

  6. Ho A, Hua X, Lee S, Leow AD, Yanovsky I, Gutman B, Dinov ID, Lepore N, Stein J, Toga AW, Jack CR, Bernstein MA, Reiman EM, Harvey DJ, Kornak J, Schuff N, Alexander GE, Weiner MW, Thompson PM (2009). Comparing 3 Tesla and 1.5 Tesla MRI for Tracking Alzheimer's Disease Progression with Tensor-Based Morphometry, Human Brain Mapping, 2009 Sep 24. [Epub ahead of print].

    Here we compared different brain scanners (3 and 1.5 Tesla) for measuring changes in the brain.

  7. Jahanshad N, Zhan L, Bernstein MA, Borowski B, Jack CR, Toga AW, Thompson PM (2010). Diffusion Tensor Imaging in Seven Minutes: Determining Trade-Offs Between Spatial and Directional Resolution, ISBI 2010, Rotterdam, The Netherlands, April 14-17, 2010 [4 pages; peer-reviewed paper].

    This pilot study was used to help decide the best diffusion imaging protocol for ADNI2.


    Genetics and risk for Alzheimer's Disease

  8. Stein JL, Hua X, Morra JH, Lee S, Ho AJ, Leow AD, Toga AW, Sul J, Kang HM, Eskin E, Saykin AJ, Shen L, Foroud T, Pankratz N, Huentelman MJ, Craig DW, Gerber JD, Allen A, Corneveaux J, Stephan DA, Webster J, DeChairo BM, Potkin SG, Jack CR, Weiner MW, Thompson PM (2010). Genome-wide analysis reveals novel genes influencing temporal lobe structure with relevance to neurodegeneration in Alzheimer's disease, NeuroImage, 2010 Mar 1. [Epub ahead of print].

  9. Stein JL, Hua X, Lee S, Ho AJ, Leow AD, Toga AW, Saykin AJ, Shen L, Foroud T, Pankratz N, Huentelman MJ, Craig DW, Gerber JD, Allen A, Corneveaux J, Stephan DA, Webster J, DeChairo BM, Potkin SG, Jack CR, Weiner MW, Thompson PM (2010). Voxelwise Genome-Wide Association Study (vGWAS), NeuroImage, Special Issue on Imaging Genomics, published online, March 2010.

  10. Ho AJ, Stein JL, Xue Hua, Suh Lee, Derrek P. Hibar, Alex D. Leow, Ivo D. Dinov, Arthur W. Toga, Andrew J. Saykin, Li Shen, Tatiana Foroud, Nathan Pankratz, Matthew J. Huentelman, David W. Craig, Jill D. Gerber, April N. Allen, Jason J. Corneveaux, Dietrich A. Stephan, Charles S. DeCarli, Bryan M. DeChairo, Steven G. Potkin, Clifford R. Jack Jr, Michael W. Weiner, Cyrus A. Raji, Oscar L. Lopez, James T. Becker, Carmichael OT, Thompson PM, and the Alzheimer's Disease Neuroimaging Initiative. A commonly carried allele of the obesity-related FTO gene is associated with reduced brain volume in the healthy elderly, Proceedings of the National Academy of Sciences, April 19 2010. [.pdf, 2.2MB] [Press Coverage]


    Earlier Articles

  11. Leow AD, Klunder AD, Jack CR, Toga AW, Dale AM, Bernstein MA, Britson PJ, Gunter JL, Ward CP, Whitwell JL, Borowski B, Fleisher A, Fox NC, Harvey D, Kornak J, Schuff N, Studholme C, Alexander GE, Weiner MW, Thompson PM*, For the ADNI Preparatory Phase Study (2006). Longitudinal Stability of MRI for Mapping Brain Change using Tensor-Based Morphometry, NeuroImage, 2006 Feb 7; [Epub ahead of print] [*corresponding author]. [569KB, .pdf]

    This paper examines the longitudinal stability of different types of MRI scans for tracking brain change over time.

  12. Hua X, Leow AD, Lee S, Klunder AD, Toga AW, Lepore N, Chou YY, Brun C, Chiang MC, Barysheva M, Jack CR, Bernstein MA, Britson PJ, Ward CP, Whitwell JL, Borowski B, Fleisher A, Fox NC, Boyes R, Barnes J, Harvey D, Kornak J, Schuff N, Boreta L, Alexander GE, Weiner MW, Thompson PM*, For the ADNI Study (2008). 3D Characterization of Brain Atrophy in Alzheimer's Disease and Mild Cognitive Impairment using Tensor-based Morphometry, NeuroImage, published online, Feb. 21 2008. [2.8MB, .pdf]

    This paper shows how a method called tensor based morphometry can be optimized to map the 3D profile of brain degeneration.

  13. Hua X, Leow AD, Parikshak N, Lee S, Chiang MC, Toga AW, Jack CR, Weiner MW, Thompson PM*, For the ADNI Study (2008). Tensor-Based Morphometry as a Neuroimaging Biomarker for Alzheimer's Disease: An MRI Study of 676 AD, MCI, and Normal Subjects, NeuroImage, in press, July 2008. [1.9MB, .pdf] [NEW]

    This paper reveals how the 3D profile of brain deficits in 676 people correlates with genetic measures, cognitive decline, and future outcomes.

  14. Morra J, Tu Z, Apostolova LG, Green AE, Avedissian C, Madsen SK, Parikshak N, Hua X, Toga AW, Jack CR, Schuff N, Weiner MW, Thompson PM (2008). Validation of a Fully Automated 3D Hippocampal Segmentation Method Using Subjects with Alzheimer's Disease, Mild Cognitive Impairment, and Elderly Controls, NeuroImage, published online, July 20 2008. [0.9MB, .pdf] [NEW]

    Here we validate a novel method that can automatically map hippocampal degeneration in hundreds of subjects, using a brain image database.

  15. Morra J, Tu Z, Apostolova LG, Green AE, Avedissian C, Madsen SK, Parikshak N, Hua X, Toga AW, Jack CR, Schuff N, Weiner MW, Thompson PM (2008). Automated 3D Mapping of Hippocampal Atrophy and its Clinical Correlates in 400 Subjects with Alzheimer's Disease, Mild Cognitive Impairment, and Elderly Controls, Proceedings of the ISBI 2008, Paris, France. [2MB, .pdf]

    This is a very short paper summarizing how the same automated method visualizes clinical correlates of hippocampal atrophy in 400 subjects.

  16. Morra J, Tu Z, Apostolova LG, Green AE, Avedissian C, Madsen SK, Parikshak N, Hua X, Toga AW, Jack CR, Schuff N, Weiner MW, Thompson PM (2008). Automated 3D Mapping of Hippocampal Atrophy and its Clinical Correlates in 400 Subjects with Alzheimer's Disease, Mild Cognitive Impairment, and Elderly Controls, Human Brain Mapping, Dec. 2008. [5.6MB, .pdf]

    An expanded version of the prior paper examines clinical correlates of hippocampal atrophy in 400 subjects, including depression, blood pressure, homocysteine levels, education, and ApoE genotype (ApoE4 is a risk gene for Alzheimer's disease).

  17. Morra J, Tu Z, Apostolova LG, Green AE, Avedissian C, Madsen SK, Parikshak N, Toga AW, Jack CR, Schuff N, Weiner MW, Thompson PM (2008). Automated Mapping of Hippocampal Atrophy in 1-Year Repeat MRI Data in 490 Subjects with Alzheimer's Disease, Mild Cognitive Impairment, and Elderly Controls, NeuroImage, Special Issue on Mathematics in Brain Imaging, ed. Thompson PM, Miller MI, Poldrack R, Nichols T, et al., published online, Nov. 8 2008.

    Here we identify factors that affect hippocampal degeneration over time in 490 patients scanned twice, with 1 year between the scans (i.e., 980 scans total).

  18. Morra J, Tu Z, Apostolova LG, Green AE, Toga AW, Thompson PM (2009). Comparison of Adaboost and Support Vector Machines for Detecting Alzheimer's Disease through Automated Hippocampal Segmentation, IEEE Transactions on Medical Imaging, in press, May 2009.

    Here we compared our Adaboost methods with other methods for automated hippocampal segmentation, and we extended our method to use Support Vector Machines to improve its accuracy in labeling MRI scans.

  19. Leow AD, Yanovsky I, Parikshak N, Hua X, Lee S, Toga AW, Jack CR, Bernstein MA, Britson PJ, Ward CP, Borowski B, Trojanowski JQ, Shaw L, Fleisher AS, Harvey D, Kornak J, Schuff N, Alexander GE, Weiner MW, Thompson PM (2009). Alzheimer's Disease Neuroimaging Initiative: A One-year Follow up Study Correlating Degenerative Rates, Biomarkers and Cognition, NeuroImage, published online, Jan 19 2009.

    In 100 subjects scanned twice, MCI subjects who transitioned to Alzheimer's disease over a one-year interval had faster rates of brain tissue loss; brain tissue loss rates were correlated with the the amount of p-tau protein and tau/amyloid beta1-42 levels in the cerebro-spinal fluid.

  20. Chou YY, Lepore N, Avedissian C, Madsen SK, Hua X, Jack CR, Weiner MW, Toga AW, Thompson PM (2009). Mapping Ventricular Expansion and its Clinical Correlates in Alzheimer's Disease and Mild Cognitive Impairment using Multi-Atlas Fluid Image Alignment, Proceedings of SPIE Medical Imaging 2009, SPIE Paper Number 7259-111, Feb. 9 2009 [peer-reviewed, 12 pages].

    This very rapid method for 3D mapping of ventricular abnormalities was applied to 240 ADNI subjects (80 AD, 80 MCI, 80 normal), revealing how ventricular expansion is linked with diagnosis, future decline in cognitive performance, and with depression.

  21. Chou YY, Lepore N, Avedissian C, Madsen SK, Hua X, Jack CR, Shaw LM, Trojanowski JQ, Weiner MW, Toga AW, Thompson PM (2009). Mapping Correlations between Ventricular Expansion and CSF Amyloid and Tau Biomarkers in 240 Subjects with Alzheimer's Disease, Mild Cognitive Impairment, and Elderly Controls, NeuroImage,46:394-410.

    Here we found correlations between ventricular differences and levels of amyloid and Tau proteins in the cerebro-spinal fluid of 240 ADNI subjects.


  22. Morra J, Tu Z, Toga AW, Thompson PM (2009). Machine Learning for Brain Image Segmentation, Tutorial Chapter in Textbook: Biomedical Image Analysis and Machine Learning Technologies, ed. Gonzalez F, Romero E, to appear: 2009. [0.8MB, .pdf]

    Here we explain how machine learning techniques, such as adaptive boosting, can be used to analyze brain degeneration automatically in thousands of images.

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