Unbiased tensor-based morphometry: Improved robustness and sample size estimates for Alzheimer's disease clinical trials
Various neuroimaging measures are being evaluated for tracking Alzheimer's disease (AD) progression in therapeutic trials, including measures of structural brain change based on repeated scanning of patients with magnetic resonance imaging (MRI). Methods to compute brain change must be robust t...
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| Published in | NeuroImage (Orlando, Fla.) Vol. 66; pp. 648 - 661 |
|---|---|
| Main Authors | , , , , , , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Amsterdam
Elsevier Inc
01.02.2013
Elsevier Elsevier Limited |
| Subjects | |
| Online Access | Get full text |
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| Abstract | Various neuroimaging measures are being evaluated for tracking Alzheimer's disease (AD) progression in therapeutic trials, including measures of structural brain change based on repeated scanning of patients with magnetic resonance imaging (MRI). Methods to compute brain change must be robust to scan quality. Biases may arise if any scans are thrown out, as this can lead to the true changes being overestimated or underestimated. Here we analyzed the full MRI dataset from the first phase of Alzheimer's Disease Neuroimaging Initiative (ADNI-1) from the first phase of Alzheimer's Disease Neuroimaging Initiative (ADNI-1) and assessed several sources of bias that can arise when tracking brain changes with structural brain imaging methods, as part of a pipeline for tensor-based morphometry (TBM). In all healthy subjects who completed MRI scanning at screening, 6, 12, and 24months, brain atrophy was essentially linear with no detectable bias in longitudinal measures. In power analyses for clinical trials based on these change measures, only 39AD patients and 95 mild cognitive impairment (MCI) subjects were needed for a 24-month trial to detect a 25% reduction in the average rate of change using a two-sided test (α=0.05, power=80%). Further sample size reductions were achieved by stratifying the data into Apolipoprotein E (ApoE) ε4 carriers versus non-carriers. We show how selective data exclusion affects sample size estimates, motivating an objective comparison of different analysis techniques based on statistical power and robustness. TBM is an unbiased, robust, high-throughput imaging surrogate marker for large, multi-site neuroimaging studies and clinical trials of AD and MCI. |
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| AbstractList | Various neuroimaging measures are being evaluated for tracking Alzheimer’s disease (AD) progression in therapeutic trials, including measures of structural brain change based on repeated scanning of patients with magnetic resonance imaging (MRI). Methods to compute brain change must be robust to scan quality. Biases may arise if any scans are thrown out, as this can lead to the true changes being overestimated or underestimated. Here we analyzed the full MRI dataset from the first phase of Alzheimer’s Disease Neuroimaging Initiative (ADNI-1) from the first phase of Alzheimer’s Disease Neuroimaging Initiative (ADNI-1) and assessed several sources of bias that can arise when tracking brain changes with structural brain imaging methods, as part of a pipeline for tensor-based morphometry (TBM). In all healthy subjects who completed MRI scanning at screening, 6, 12, and 24 months, brain atrophy was essentially linear with no detectable bias in longitudinal measures. In power analyses for clinical trials based on these change measures, only 39 AD patients and 95 mild cognitive impairment (MCI) subjects were needed for a 24-month trial to detect a 25% reduction in the average rate of change using a two-sided test (
α
=0.05,
power
=80%). Further sample size reductions were achieved by stratifying the data into Apolipoprotein E (ApoE) ε4 carriers versus non-carriers. We show how selective data exclusion affects sample size estimates, motivating an objective comparison of different analysis techniques based on statistical power and robustness. TBM is an unbiased, robust, high-throughput imaging surrogate marker for large, multi-site neuroimaging studies and clinical trials of AD and MCI. Various neuroimaging measures are being evaluated for tracking Alzheimer's disease (AD) progression in therapeutic trials, including measures of structural brain change based on repeated scanning of patients with magnetic resonance imaging (MRI). Methods to compute brain change must be robust to scan quality. Biases may arise if any scans are thrown out, as this can lead to the true changes being overestimated or underestimated. Here we analyzed the full MRI dataset from the first phase of Alzheimer's Disease Neuroimaging Initiative (ADNI-1) from the first phase of Alzheimer's Disease Neuroimaging Initiative (ADNI-1) and assessed several sources of bias that can arise when tracking brain changes with structural brain imaging methods, as part of a pipeline for tensor-based morphometry (TBM). In all healthy subjects who completed MRI scanning at screening, 6, 12, and 24months, brain atrophy was essentially linear with no detectable bias in longitudinal measures. In power analyses for clinical trials based on these change measures, only 39AD patients and 95 mild cognitive impairment (MCI) subjects were needed for a 24-month trial to detect a 25% reduction in the average rate of change using a two-sided test (=0.05,power=80%). Further sample size reductions were achieved by stratifying the data into Apolipoprotein E (ApoE) ...4 carriers versus non-carriers. We show how selective data exclusion affects sample size estimates, motivating an objective comparison of different analysis techniques based on statistical power and robustness. TBM is an unbiased, robust, high-throughput imaging surrogate marker for large, multi-site neuroimaging studies and clinical trials of AD and MCI. Various neuroimaging measures are being evaluated for tracking Alzheimer's disease (AD) progression in therapeutic trials, including measures of structural brain change based on repeated scanning of patients with magnetic resonance imaging (MRI). Methods to compute brain change must be robust to scan quality. Biases may arise if any scans are thrown out, as this can lead to the true changes being overestimated or underestimated. Here we analyzed the full MRI dataset from the first phase of Alzheimer's Disease Neuroimaging Initiative (ADNI-1) from the first phase of Alzheimer's Disease Neuroimaging Initiative (ADNI-1) and assessed several sources of bias that can arise when tracking brain changes with structural brain imaging methods, as part of a pipeline for tensor-based morphometry (TBM). In all healthy subjects who completed MRI scanning at screening, 6, 12, and 24 months, brain atrophy was essentially linear with no detectable bias in longitudinal measures. In power analyses for clinical trials based on these change measures, only 39 AD patients and 95 mild cognitive impairment (MCI) subjects were needed for a 24-month trial to detect a 25% reduction in the average rate of change using a two-sided test (I- = 0.05, power = 80%). Further sample size reductions were achieved by stratifying the data into Apolipoprotein E (ApoE) Im4 carriers versus non-carriers. We show how selective data exclusion affects sample size estimates, motivating an objective comparison of different analysis techniques based on statistical power and robustness. TBM is an unbiased, robust, high-throughput imaging surrogate marker for large, multi-site neuroimaging studies and clinical trials of AD and MCI. Various neuroimaging measures are being evaluated for tracking Alzheimer's disease (AD) progression in therapeutic trials, including measures of structural brain change based on repeated scanning of patients with magnetic resonance imaging (MRI). Methods to compute brain change must be robust to scan quality. Biases may arise if any scans are thrown out, as this can lead to the true changes being overestimated or underestimated. Here we analyzed the full MRI dataset from the first phase of Alzheimer's Disease Neuroimaging Initiative (ADNI-1) from the first phase of Alzheimer's Disease Neuroimaging Initiative (ADNI-1) and assessed several sources of bias that can arise when tracking brain changes with structural brain imaging methods, as part of a pipeline for tensor-based morphometry (TBM). In all healthy subjects who completed MRI scanning at screening, 6, 12, and 24months, brain atrophy was essentially linear with no detectable bias in longitudinal measures. In power analyses for clinical trials based on these change measures, only 39AD patients and 95 mild cognitive impairment (MCI) subjects were needed for a 24-month trial to detect a 25% reduction in the average rate of change using a two-sided test (α=0.05, power=80%). Further sample size reductions were achieved by stratifying the data into Apolipoprotein E (ApoE) ε4 carriers versus non-carriers. We show how selective data exclusion affects sample size estimates, motivating an objective comparison of different analysis techniques based on statistical power and robustness. TBM is an unbiased, robust, high-throughput imaging surrogate marker for large, multi-site neuroimaging studies and clinical trials of AD and MCI. Various neuroimaging measures are being evaluated for tracking Alzheimer's disease (AD) progression in therapeutic trials, including measures of structural brain change based on repeated scanning of patients with magnetic resonance imaging (MRI). Methods to compute brain change must be robust to scan quality. Biases may arise if any scans are thrown out, as this can lead to the true changes being overestimated or underestimated. Here we analyzed the full MRI dataset from the first phase of Alzheimer's Disease Neuroimaging Initiative (ADNI-1) from the first phase of Alzheimer's Disease Neuroimaging Initiative (ADNI-1) and assessed several sources of bias that can arise when tracking brain changes with structural brain imaging methods, as part of a pipeline for tensor-based morphometry (TBM). In all healthy subjects who completed MRI scanning at screening, 6, 12, and 24months, brain atrophy was essentially linear with no detectable bias in longitudinal measures. In power analyses for clinical trials based on these change measures, only 39AD patients and 95 mild cognitive impairment (MCI) subjects were needed for a 24-month trial to detect a 25% reduction in the average rate of change using a two-sided test (α=0.05, power=80%). Further sample size reductions were achieved by stratifying the data into Apolipoprotein E (ApoE) ε4 carriers versus non-carriers. We show how selective data exclusion affects sample size estimates, motivating an objective comparison of different analysis techniques based on statistical power and robustness. TBM is an unbiased, robust, high-throughput imaging surrogate marker for large, multi-site neuroimaging studies and clinical trials of AD and MCI.Various neuroimaging measures are being evaluated for tracking Alzheimer's disease (AD) progression in therapeutic trials, including measures of structural brain change based on repeated scanning of patients with magnetic resonance imaging (MRI). Methods to compute brain change must be robust to scan quality. Biases may arise if any scans are thrown out, as this can lead to the true changes being overestimated or underestimated. Here we analyzed the full MRI dataset from the first phase of Alzheimer's Disease Neuroimaging Initiative (ADNI-1) from the first phase of Alzheimer's Disease Neuroimaging Initiative (ADNI-1) and assessed several sources of bias that can arise when tracking brain changes with structural brain imaging methods, as part of a pipeline for tensor-based morphometry (TBM). In all healthy subjects who completed MRI scanning at screening, 6, 12, and 24months, brain atrophy was essentially linear with no detectable bias in longitudinal measures. In power analyses for clinical trials based on these change measures, only 39AD patients and 95 mild cognitive impairment (MCI) subjects were needed for a 24-month trial to detect a 25% reduction in the average rate of change using a two-sided test (α=0.05, power=80%). Further sample size reductions were achieved by stratifying the data into Apolipoprotein E (ApoE) ε4 carriers versus non-carriers. We show how selective data exclusion affects sample size estimates, motivating an objective comparison of different analysis techniques based on statistical power and robustness. TBM is an unbiased, robust, high-throughput imaging surrogate marker for large, multi-site neuroimaging studies and clinical trials of AD and MCI. |
| Author | Rajagopalan, Priya Ching, Christopher R.K. Boyle, Christina P. Jack, Clifford R. Harvey, Danielle Gutman, Boris A. Hibar, Derrek P. Weiner, Michael W. Thompson, Paul M. Hua, Xue Leow, Alex D. Toga, Arthur W. |
| AuthorAffiliation | b Dept. of Psychiatry, University of Illinois at Chicago, College of Medicine, Chicago, IL, USA d Mayo Clinic, Rochester, MN, USA f Dept. of Radiology and Biomedical Imaging, UC San Francisco, San Francisco, CA, USA e Dept. of Public Health Sciences, UC Davis School of Medicine, Davis, CA, USA g Dept. of Medicine, UC San Francisco, San Francisco, CA, USA i Dept. of Psychiatry, Semel Institute, UCLA School of Medicine, Los Angeles, CA, USA c Dept. of Bioengineering, University of Illinois at Chicago, Chicago, IL, USA a Imaging Genetics Center, Laboratory of Neuro Imaging, Dept. of Neurology, UCLA School of Medicine, Los Angeles, CA, USA h Dept. of Psychiatry, UC San Francisco, San Francisco, CA, USA |
| AuthorAffiliation_xml | – name: g Dept. of Medicine, UC San Francisco, San Francisco, CA, USA – name: h Dept. of Psychiatry, UC San Francisco, San Francisco, CA, USA – name: b Dept. of Psychiatry, University of Illinois at Chicago, College of Medicine, Chicago, IL, USA – name: d Mayo Clinic, Rochester, MN, USA – name: c Dept. of Bioengineering, University of Illinois at Chicago, Chicago, IL, USA – name: a Imaging Genetics Center, Laboratory of Neuro Imaging, Dept. of Neurology, UCLA School of Medicine, Los Angeles, CA, USA – name: i Dept. of Psychiatry, Semel Institute, UCLA School of Medicine, Los Angeles, CA, USA – name: e Dept. of Public Health Sciences, UC Davis School of Medicine, Davis, CA, USA – name: f Dept. of Radiology and Biomedical Imaging, UC San Francisco, San Francisco, CA, USA |
| Author_xml | – sequence: 1 givenname: Xue surname: Hua fullname: Hua, Xue organization: Imaging Genetics Center, Laboratory of Neuro Imaging, Dept. of Neurology, UCLA School of Medicine, Los Angeles, CA, USA – sequence: 2 givenname: Derrek P. surname: Hibar fullname: Hibar, Derrek P. organization: Imaging Genetics Center, Laboratory of Neuro Imaging, Dept. of Neurology, UCLA School of Medicine, Los Angeles, CA, USA – sequence: 3 givenname: Christopher R.K. surname: Ching fullname: Ching, Christopher R.K. organization: Imaging Genetics Center, Laboratory of Neuro Imaging, Dept. of Neurology, UCLA School of Medicine, Los Angeles, CA, USA – sequence: 4 givenname: Christina P. surname: Boyle fullname: Boyle, Christina P. organization: Imaging Genetics Center, Laboratory of Neuro Imaging, Dept. of Neurology, UCLA School of Medicine, Los Angeles, CA, USA – sequence: 5 givenname: Priya surname: Rajagopalan fullname: Rajagopalan, Priya organization: Imaging Genetics Center, Laboratory of Neuro Imaging, Dept. of Neurology, UCLA School of Medicine, Los Angeles, CA, USA – sequence: 6 givenname: Boris A. surname: Gutman fullname: Gutman, Boris A. organization: Imaging Genetics Center, Laboratory of Neuro Imaging, Dept. of Neurology, UCLA School of Medicine, Los Angeles, CA, USA – sequence: 7 givenname: Alex D. surname: Leow fullname: Leow, Alex D. organization: Dept. of Psychiatry, University of Illinois at Chicago, College of Medicine, Chicago, IL, USA – sequence: 8 givenname: Arthur W. surname: Toga fullname: Toga, Arthur W. organization: Imaging Genetics Center, Laboratory of Neuro Imaging, Dept. of Neurology, UCLA School of Medicine, Los Angeles, CA, USA – sequence: 9 givenname: Clifford R. surname: Jack fullname: Jack, Clifford R. organization: Mayo Clinic, Rochester, MN, USA – sequence: 10 givenname: Danielle surname: Harvey fullname: Harvey, Danielle organization: Dept. of Public Health Sciences, UC Davis School of Medicine, Davis, CA, USA – sequence: 11 givenname: Michael W. surname: Weiner fullname: Weiner, Michael W. organization: Dept. of Radiology and Biomedical Imaging, UC San Francisco, San Francisco, CA, USA – sequence: 12 givenname: Paul M. surname: Thompson fullname: Thompson, Paul M. email: thompson@loni.ucla.edu organization: Imaging Genetics Center, Laboratory of Neuro Imaging, Dept. of Neurology, UCLA School of Medicine, Los Angeles, CA, USA |
| BackLink | http://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=27110969$$DView record in Pascal Francis https://www.ncbi.nlm.nih.gov/pubmed/23153970$$D View this record in MEDLINE/PubMed |
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| Cites_doi | 10.1109/42.640753 10.1093/brain/awp007 10.1016/j.neuroimage.2008.10.043 10.1016/S0140-6736(05)67889-0 10.1001/archneur.57.3.339 10.1016/j.jalz.2010.03.008 10.1001/archpsyc.63.1.63 10.1016/j.mri.2004.01.078 10.1016/j.neuroimage.2009.05.045 10.1097/00004728-199801000-00028 10.1006/nimg.2002.1084 10.1016/j.neuroimage.2011.01.077 10.1016/j.neurobiolaging.2009.08.007 10.1523/JNEUROSCI.5062-08.2009 10.1016/j.neuroimage.2009.02.015 10.1109/42.668698 10.1016/j.neuroimage.2009.12.007 10.1016/j.neuroimage.2009.07.011 10.1016/j.jalz.2008.05.225 10.1097/00004728-199809000-00031 10.1016/j.neurobiolaging.2010.05.006 10.1016/j.neuroimage.2007.04.035 10.1002/hbm.21386 10.1016/j.neuroimage.2007.11.047 10.1016/j.jalz.2011.09.172 10.1016/j.neuroimage.2004.03.040 10.1006/nimg.2001.0786 10.1016/j.nic.2005.09.008 10.1136/jnnp.2009.190702 10.1016/0140-6736(93)91709-U 10.1109/TMI.2011.2138152 10.1016/j.neuroimage.2011.01.079 10.1212/WNL.52.7.1397 10.1016/j.neuroimage.2010.02.064 10.1016/S1361-8415(98)80022-4 10.1073/pnas.0906053106 10.1006/nimg.2001.0848 10.1016/j.biopsych.2007.03.024 10.1038/35004593 10.1126/science.8346443 10.1038/nrd1155 10.1097/00004728-199403000-00005 10.1038/ng0694-180 10.1098/rstb.2001.0915 10.1093/brain/awn146 10.1038/ng0194-29 10.1016/j.neuroimage.2007.09.073 10.1006/nimg.2000.0582 10.1016/j.neuroimage.2005.05.015 10.1016/j.neuroimage.2008.03.050 10.1002/hbm.20090 10.1016/j.neuroimage.2012.02.084 10.1016/j.media.2009.06.002 10.1016/j.media.2011.02.005 10.1212/WNL.43.8.1467 10.1016/j.neuroimage.2008.07.013 10.1002/hbm.20708 10.1016/j.neurobiolaging.2010.03.016 10.1016/j.tins.2008.11.007 10.1016/S0733-8619(05)70226-7 10.1016/j.jalz.2005.06.003 10.1016/j.neuroimage.2010.01.104 10.1016/j.neuroimage.2005.09.046 10.1212/WNL.58.5.750 10.1002/jmri.21049 10.1109/42.932742 10.1006/nimg.2001.0862 10.1016/j.neubiorev.2006.06.003 |
| ContentType | Journal Article |
| Copyright | 2012 Elsevier Inc. 2015 INIST-CNRS Copyright © 2012 Elsevier Inc. All rights reserved. Copyright Elsevier Limited Feb 1, 2013 2012 Elsevier Inc. All rights reserved. 2012 |
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| Keywords | ADNI VBM Quarc AD MRI Mild cognitive impairment BBSI stat-ROI Drug trial SPM TE MCI QC Tensor-based morphometry TI Aging ApoE MDT MI Alzheimer's disease FSL TBM TR Nervous system diseases Senescence Alzheimer disease Cerebral disorder Central nervous system disease Degenerative disease mild cognitive impairment Morphometry |
| Language | English |
| License | CC BY 4.0 Copyright © 2012 Elsevier Inc. All rights reserved. |
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| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 ObjectType-Article-2 ObjectType-Feature-1 content type line 23 Data used in preparation of this article were obtained from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) database (adni.loni.ucla.edu). As such, the investigators within the ADNI contributed to the design and implementation of ADNI and/or provided data, but only some participated in the analysis or writing of this report. A complete listing of ADNI investigators can be found at: http://adni.loni.ucla.edu/wp-content/uploads/how_to_apply/ADNI_Acknowledgement_List.pdf. |
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| References | Hua, Leow, Parikshak, Lee, Chiang, Toga, Jack, Weiner, Thompson (bb0210) 2008; 43 Hua, Lee, Hibar, Yanovsky, Leow, Toga, Jack, Bernstein, Reiman, Harvey, Kornak, Schuff, Alexander, Weiner, Thompson (bb0200) 2010; 51 Schachter, Faure-Delanef, Guenot, Rouger, Froguel, Lesueur-Ginot, Cohen (bb0355) 1994; 6 Marsden, Hughes (bb0265) 1983 Davatzikos, Resnick, Wu, Parmpi, Clark (bb0110) 2008; 41 Weiner, Aisen, Jack, Jagust, Trojanowski, Shaw, Saykin, Morris, Cairns, Beckett, Toga, Green, Walter, Soares, Snyder, Siemers, Potter, Cole, Schmidt (bb0410) 2010; 6 Jack, Bernstein, Fox, Thompson, Alexander, Harvey, Borowski, Britson, Whitwell, Ward, Dale, Felmlee, Gunter, Hill, Killiany, Schuff, Fox-Bosetti, Lin, Studholme, DeCarli, Krueger, Ward, Metzger, Scott, Mallozzi, Blezek, Levy, Debbins, Fleisher, Albert, Green, Bartzokis, Glover, Mugler, Weiner (bb0220) 2008; 27 Cummings (bb0105) 2010; 31 Fox, Cousens, Scahill, Harvey, Rossor (bb0135) 2000; 57 Fox, Ridgway, Schott (bb0140) 2011; 57 Holland, Brewer, Hagler, Fennema-Notestine, Dale (bb0180) 2009; 106 Ross, Thompson, Tariot, Reiman, Schneider, Frigerio, Fiorentini, Giardino, Calzà, Norris, Cicirello, Casula, Imbimbo (bb0340) 2012 Chou, Lepore, Avedissian, Madsen, Parikshak, Hua, Shaw, Trojanowski, Weiner, Toga, Thompson (bb0065) 2009; 46 Petersen (bb0310) 2003; 2 Rosner (bb0335) 1990 Chen, Reschke, Lee, Napatkamon, Liu, Bandy, Langbaum, Alexander, Foster, Koeppe, Jagust, Weiner, Reiman (bb0050) 2009 Chou, Lepore, de Zubicaray, Carmichael, Becker, Toga, Thompson (bb0070) 2008; 40 Leporé, Brun, Chou, Lee, Barysheva, de Zubicaray, Meredith, McMahon, Wright, Toga, Thompson (bb0450) 2008 Reiman, Chen, Ayutyanont, Lee, Bandy, Reschke, Alexander, Weiner, Koeppe, Foster, Jagust (bb0320) 2008; 4 Carmichael, Thompson, Dutton, Lu, Lee, Lee, Kuller, Lopez, Aizenstein, Meltzer, Liu, Toga, Becker (bb0040) 2006 Chetelat, Landeau, Eustache, Mezenge, Viader, de la Sayette, Desgranges, Baron (bb0055) 2005; 27 Schuff, Woerner, Boreta, Kornfield, Shaw, Trojanowski, Thompson, Jack, Weiner (bb0360) 2009; 132 Jovicich, Czanner, Greve, Haley, van der Kouwe, Gollub, Kennedy, Schmitt, Brown, Macfall, Fischl, Dale (bb0235) 2006; 30 Petersen (bb0305) 2000; 18 Thompson, Hayashi, De Zubicaray, Janke, Rose, Semple, Hong, Herman, Gravano, Doddrell, Toga (bb0390) 2004; 22 Woods, Grafton, Watson, Sicotte, Mazziotta (bb0420) 1998; 22 Toga (bb0395) 1999 Trojanowski, Vandeerstichele, Korecka, Clark, Aisen, Petersen, Blennow, Soares, Simon, Lewczuk, Dean, Siemers, Potter, Weiner, Jack, Jagust, Toga, Lee, Shaw (bb0400) 2010; 6 Clarkson, Ourselin, Nielsen, Leung, Barnes, Whitwell, Gunter, Hill, Weiner, Jack, Fox (bb0085) 2009; 47 Chung, Worsley, Paus, Cherif, Collins, Giedd, Rapoport, Evans (bb0080) 2001; 14 Ferri, Prince, Brayne, Brodaty, Fratiglioni, Ganguli, Hall, Hasegawa, Hendrie, Huang, Jorm, Mathers, Menezes, Rimmer, Scazufca (bb0130) 2005; 366 Yanovsky, Leow, Lee, Osher, Thompson (bb0435) 2009; 13 Petersen (bb0315) 2003 Hua, Lee, Yanovsky, Leow, Chou, Ho, Gutman, Toga, Jack, Bernstein, Reiman, Harvey, Kornak, Schuff, Alexander, Weiner, Thompson (bb0205) 2009; 48 Iglesias, Liu, Thompson, Tu (bb0215) 2011; 30 Yushkevich, Avants, Das, Pluta, Altinay, Craige (bb0445) 2010; 50 Ashburner, Friston (bb0010) 2003 Pericak-Vance, Bebout, Gaskell, Yamaoka, Hung, Alberts, Walker, Bartlett, Haynes, Welsh (bb0300) 1991; 48 Gutman, Rajagopalan, Hua, Thompson (bb0170) 2012 Wozniak, Lim (bb0425) 2006; 30 Davison, Hinkley (bb0115) 1997 Mueller, Weiner, Thal, Petersen, Jack, Jagust, Trojanowski, Toga, Beckett (bb0285) 2005; 15 Christensen, Johnson (bb0075) 2001; 20 Kochunov, Lancaster, Thompson, Toga, Brewer, Hardies, Fox (bb0245) 2002; 17 Corder, Saunders, Risch, Strittmatter, Schmechel, Gaskell, Rimmler, Locke, Conneally, Schmader (bb0095) 1994; 7 Spires-Jones, Stoothoff, de Calignon, Jones, Hyman (bb0375) 2009; 32 Wyman, Harvey, Crawford, Bernstein, Cole, DeCarli, Fox, Gunter, Hill, Killiany, Pachai, Shchwarz, Schuff, Suhy, Thompson, Weiner, Jack (bb0430) 2012 Saunders, Schmader, Breitner, Benson, Brown, Goldfarb, Goldgaber, Manwaring, Szymanski, McCown (bb0345) 1993; 342 Bartzokis, Lu, Geschwind, Edwards, Mintz, Cummings (bb0025) 2006; 63 Baron, Chetelat, Desgranges, Perchey, Landeau, de la Sayette, Eustache (bb0015) 2001; 14 Holland, McEvoy, Dale (bb0190) 2012; 33 Vemuri, Gunter, Senjem, Whitwell, Kantarci, Knopman, Boeve, Petersen, Jack (bb0405) 2008; 39 Chen, Langbaum, Fleisher, Ayutyanont, Reschke, Lee, Liu, Bandy, Alexander, Thompson, Foster, Harvey, de Leon, Koeppe, Jagust, Weiner, Reiman (bb0045) 2010; 51 Nestor, Rupsingh, Borrie, Smith, Accomazzi, Wells, Fogarty, Bartha (bb0295) 2008; 131 Yanovsky, Thompson, Osher, Leow (bb0440) 2008; 1 Ching, Hua, Ward, Gunter, Bernstein, Jack, Weiner, Thompson (bb0060) 2012 Smith, Rao, De Stefano, Jenkinson, Schott, Matthews, Fox (bb0370) 2007; 36 Reuter, Schmansky, Rosas, Fischl (bb0325) 2012; 61 Sled, Zijdenbos, Evans (bb0365) 1998; 17 Collins, Neelin, Peters, Evans (bb0090) 1994; 18 Bartzokis, Lu, Geschwind, Tingus, Huang, Mendez, Edwards, Mintz (bb0030) 2007; 62 Kochunov, Lancaster, Hardies, Thompson, Woods, Cody, Hale, Laird, Fox (bb0240) 2005; 24 Riddle, Li, Fitzpatrick, DonLevy, Dawant, Price (bb0330) 2004; 22 Mueller, Weiner, Thal, Petersen, Jack, Jagust, Trojanowski, Toga, Beckett (bb0290) 2005; 1 Buckner, Sepulcre, Talukdar, Krienen, Liu, Hedden, Andrews-Hanna, Sperling, Johnson (bb0035) 2009; 29 Morra, Tu, Apostolova, Green, Avedissian, Madsen, Parikshak, Toga, Jack, Schuff, Weiner, Thompson (bb0280) 2009; 45 Hua, Gutman, Boyle, Rajagopalan, Leow, Yanovsky, Kumar, Toga, Jack, Schuff, Alexander, Chen, Reiman, Weiner, Thompson (bb0195) 2011; 57 Freeborough, Fox (bb0150) 1998; 22 Efron, Tibshirani (bb0125) 1993 Ashburner, Friston (bb0005) 2000; 11 Thirion (bb0380) 1998; 2 Mazziotta, Toga, Evans, Fox, Lancaster, Zilles, Woods, Paus, Simpson, Pike, Holmes, Collins, Thompson, MacDonald, Iacoboni, Schormann, Amunts, Palomero-Gallagher, Geyer, Parsons, Narr, Kabani, Le Goualher, Boomsma, Cannon, Kawashima, Mazoyer (bb0270) 2001; 356 Freeborough, Fox (bb0145) 1997; 16 Hobbs, Henley, Ridgway, Wild, Barker, Scahill, Barnes, Fox, Tabrizi (bb0175) 2010; 81 Saunders, Strittmatter, Schmechel, George-Hyslop, Pericak-Vance, Joo, Rosi, Gusella, Crapper-MacLachlan, Alberts (bb0350) 1993; 43 Thompson, Giedd, Woods, MacDonald, Evans, Toga (bb0385) 2000; 404 Corder, Saunders, Strittmatter, Schmechel, Gaskell, Small, Roses, Haines, Pericak-Vance (bb0100) 1993; 261 Jack, Dickson, Parisi, Xu, Cha, O'Brien, Edland, Smith, Boeve, Tangalos, Kokmen, Petersen (bb0225) 2002; 58 Frisoni, Weiner (bb0155) 2010; 31 Jack, Petersen, Xu, O'Brien, Smith, Ivnik, Boeve, Waring, Tangalos, Kokmen (bb0230) 1999; 52 Leow, Huang, Geng, Becker, Davis, Toga, Thompson (bb0250) 2005 Weiner, Veitch, Aisen, Beckett, Cairns, Green, Harvey, Jack, Jagust, Liu, Morris, Petersen, Saykin, Schmidt, Shaw, Siuciak, Soares, Toga, Trojanowski (bb0415) 2012; 8 Bartzokis (bb0020) 2011; 32 Good, Johnsrude, Ashburner, Henson, Friston, Frackowiak (bb0160) 2001; 14 Gunter, Bernstein, Borowski, Felmlee, Blezek, Mallozzi, Levy, Schuff, Jack (bb0165) 2006 Eastman (bb0120) 2012 Holland, Dale (bb0185) 2011; 15 Morra, Tu, Apostolova, Green, Avedissian, Madsen, Parikshak, Hua, Toga, Jack, Schuff, Weiner, Thompson (bb0275) 2009; 30 Chen (10.1016/j.neuroimage.2012.10.086_bb0050) 2009 Kochunov (10.1016/j.neuroimage.2012.10.086_bb0245) 2002; 17 Chetelat (10.1016/j.neuroimage.2012.10.086_bb0055) 2005; 27 Schachter (10.1016/j.neuroimage.2012.10.086_bb0355) 1994; 6 Wozniak (10.1016/j.neuroimage.2012.10.086_bb0425) 2006; 30 Ferri (10.1016/j.neuroimage.2012.10.086_bb0130) 2005; 366 Iglesias (10.1016/j.neuroimage.2012.10.086_bb0215) 2011; 30 Wyman (10.1016/j.neuroimage.2012.10.086_bb0430) 2012 Jack (10.1016/j.neuroimage.2012.10.086_bb0230) 1999; 52 Vemuri (10.1016/j.neuroimage.2012.10.086_bb0405) 2008; 39 Gutman (10.1016/j.neuroimage.2012.10.086_bb0170) 2012 Carmichael (10.1016/j.neuroimage.2012.10.086_bb0040) 2006 Chou (10.1016/j.neuroimage.2012.10.086_bb0065) 2009; 46 Eastman (10.1016/j.neuroimage.2012.10.086_bb0120) 2012 Thompson (10.1016/j.neuroimage.2012.10.086_bb0385) 2000; 404 Freeborough (10.1016/j.neuroimage.2012.10.086_bb0145) 1997; 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50 Hobbs (10.1016/j.neuroimage.2012.10.086_bb0175) 2010; 81 Thirion (10.1016/j.neuroimage.2012.10.086_bb0380) 1998; 2 Morra (10.1016/j.neuroimage.2012.10.086_bb0275) 2009; 30 Clarkson (10.1016/j.neuroimage.2012.10.086_bb0085) 2009; 47 Nestor (10.1016/j.neuroimage.2012.10.086_bb0295) 2008; 131 Collins (10.1016/j.neuroimage.2012.10.086_bb0090) 1994; 18 Morra (10.1016/j.neuroimage.2012.10.086_bb0280) 2009; 45 Holland (10.1016/j.neuroimage.2012.10.086_bb0185) 2011; 15 Hua (10.1016/j.neuroimage.2012.10.086_bb0210) 2008; 43 Reiman (10.1016/j.neuroimage.2012.10.086_bb0320) 2008; 4 Weiner (10.1016/j.neuroimage.2012.10.086_bb0415) 2012; 8 Yanovsky (10.1016/j.neuroimage.2012.10.086_bb0440) 2008; 1 Baron (10.1016/j.neuroimage.2012.10.086_bb0015) 2001; 14 Leow (10.1016/j.neuroimage.2012.10.086_bb0250) 2005 Thompson (10.1016/j.neuroimage.2012.10.086_bb0390) 2004; 22 Frisoni (10.1016/j.neuroimage.2012.10.086_bb0155) 2010; 31 Saunders (10.1016/j.neuroimage.2012.10.086_bb0350) 1993; 43 Davison (10.1016/j.neuroimage.2012.10.086_bb0115) 1997 Reuter (10.1016/j.neuroimage.2012.10.086_bb0325) 2012; 61 Sled (10.1016/j.neuroimage.2012.10.086_bb0365) 1998; 17 Spires-Jones (10.1016/j.neuroimage.2012.10.086_bb0375) 2009; 32 Bartzokis (10.1016/j.neuroimage.2012.10.086_bb0030) 2007; 62 Corder (10.1016/j.neuroimage.2012.10.086_bb0100) 1993; 261 Hua (10.1016/j.neuroimage.2012.10.086_bb0200) 2010; 51 Holland (10.1016/j.neuroimage.2012.10.086_bb0180) 2009; 106 Mazziotta (10.1016/j.neuroimage.2012.10.086_bb0270) 2001; 356 Gunter (10.1016/j.neuroimage.2012.10.086_bb0165) 2006 Corder (10.1016/j.neuroimage.2012.10.086_bb0095) 1994; 7 Petersen (10.1016/j.neuroimage.2012.10.086_bb0305) 2000; 18 Fox (10.1016/j.neuroimage.2012.10.086_bb0135) 2000; 57 Toga (10.1016/j.neuroimage.2012.10.086_bb0395) 1999 Chou (10.1016/j.neuroimage.2012.10.086_bb0070) 2008; 40 Bartzokis (10.1016/j.neuroimage.2012.10.086_bb0020) 2011; 32 Petersen (10.1016/j.neuroimage.2012.10.086_bb0315) 2003 Kochunov (10.1016/j.neuroimage.2012.10.086_bb0240) 2005; 24 Chen (10.1016/j.neuroimage.2012.10.086_bb0045) 2010; 51 Bartzokis (10.1016/j.neuroimage.2012.10.086_bb0025) 2006; 63 Marsden (10.1016/j.neuroimage.2012.10.086_bb0265) 1983 Davatzikos (10.1016/j.neuroimage.2012.10.086_bb0110) 2008; 41 Buckner (10.1016/j.neuroimage.2012.10.086_bb0035) 2009; 29 Efron (10.1016/j.neuroimage.2012.10.086_bb0125) 1993 Ching (10.1016/j.neuroimage.2012.10.086_bb0060) 2012 Freeborough (10.1016/j.neuroimage.2012.10.086_bb0150) 1998; 22 Trojanowski (10.1016/j.neuroimage.2012.10.086_bb0400) 2010; 6 Jovicich (10.1016/j.neuroimage.2012.10.086_bb0235) 2006; 30 Hua (10.1016/j.neuroimage.2012.10.086_bb0195) 2011; 57 Pericak-Vance (10.1016/j.neuroimage.2012.10.086_bb0300) 1991; 48 Yanovsky (10.1016/j.neuroimage.2012.10.086_bb0435) 2009; 13 Hua (10.1016/j.neuroimage.2012.10.086_bb0205) 2009; 48 Ross (10.1016/j.neuroimage.2012.10.086_bb0340) 2012 Weiner (10.1016/j.neuroimage.2012.10.086_bb0410) 2010; 6 Woods (10.1016/j.neuroimage.2012.10.086_bb0420) 1998; 22 Christensen (10.1016/j.neuroimage.2012.10.086_bb0075) 2001; 20 Petersen (10.1016/j.neuroimage.2012.10.086_bb0310) 2003; 2 |
| References_xml | – start-page: 315 year: 2006 end-page: 318 ident: bb0040 article-title: Mapping ventricular changes related to dementia and mild cognitive impairment in a large community-based cohort publication-title: IEEE ISBI – volume: 6 start-page: 29 year: 1994 end-page: 32 ident: bb0355 article-title: Genetic associations with human longevity at the APOE and ACE loci publication-title: Nat. Genet. – volume: 132 start-page: 1067 year: 2009 end-page: 1077 ident: bb0360 article-title: MRI of hippocampal volume loss in early Alzheimer's disease in relation to ApoE genotype and biomarkers publication-title: Brain – volume: 13 start-page: 679 year: 2009 end-page: 700 ident: bb0435 article-title: Comparing registration methods for mapping brain change using tensor-based morphometry publication-title: Medical Image Analysis – volume: 261 start-page: 921 year: 1993 end-page: 923 ident: bb0100 article-title: Gene dose of apolipoprotein E type 4 allele and the risk of Alzheimer's disease in late onset families publication-title: Science – volume: 1 start-page: 55 year: 2005 end-page: 66 ident: bb0290 article-title: Ways toward an early diagnosis in Alzheimer's disease: The Alzheimer's Disease Neuroimaging Initiative (ADNI) publication-title: Alzheimers Dement. – volume: 366 start-page: 2112 year: 2005 end-page: 2117 ident: bb0130 article-title: Global prevalence of dementia: a Delphi consensus study publication-title: Lancet – start-page: 1 year: 2012 end-page: 14 ident: bb0120 article-title: Plans under way for Alzheimer's prevention trial publication-title: Neurology Today – volume: 43 start-page: 458 year: 2008 end-page: 469 ident: bb0210 article-title: Tensor-based morphometry as a neuroimaging biomarker for Alzheimer's disease: an MRI study of 676 AD, MCI, and normal subjects publication-title: NeuroImage – start-page: 493 year: 2005 end-page: 503 ident: bb0250 article-title: Inverse Consistent Mapping in 3D Deformable Image Registration: Its Construction and Statistical Properties publication-title: Information Processing in Medical Imaging, Glenwood Springs, Colorado, USA – volume: 8 start-page: S1 year: 2012 end-page: 68 ident: bb0415 article-title: The Alzheimer's Disease Neuroimaging Initiative: A review of papers published since its inception publication-title: Alzheimer's & Dementia : the Journal of the Alzheimer's Association – year: 2012 ident: bb0430 article-title: Standardization of Analysis Sets for Reporting Results from ADNI MRI data – volume: 51 start-page: 63 year: 2010 end-page: 75 ident: bb0200 article-title: Mapping Alzheimer's disease progression in 1309 MRI scans: power estimates for different inter-scan intervals publication-title: NeuroImage – volume: 51 start-page: 654 year: 2010 end-page: 664 ident: bb0045 article-title: Twelve-month metabolic declines in probable Alzheimer's disease and amnestic mild cognitive impairment assessed using an empirically pre-defined statistical region-of-interest: findings from the Alzheimer's Disease Neuroimaging Initiative publication-title: NeuroImage – volume: 40 start-page: 615 year: 2008 end-page: 630 ident: bb0070 article-title: Automated ventricular mapping with multi-atlas fluid image alignment reveals genetic effects in Alzheimer's disease publication-title: NeuroImage – volume: 17 start-page: 87 year: 1998 end-page: 97 ident: bb0365 article-title: A nonparametric method for automatic correction of intensity nonuniformity in MRI data publication-title: IEEE Trans. Med. Imaging – volume: 1 start-page: 1 year: 2008 end-page: 8 ident: bb0440 article-title: Asymmetric and symmetric unbiased image registration: statistical assessment of performance publication-title: IEEE Computer Society Workshop on Mathematical Methods in Biomedical Image Analysis – volume: 41 start-page: 1220 year: 2008 end-page: 1227 ident: bb0110 article-title: Individual patient diagnosis of AD and FTD via high-dimensional pattern classification of MRI publication-title: NeuroImage – year: 2003 ident: bb0315 article-title: Mild Cognitive Impairment: Aging to Alzheimer's Disease – volume: 39 start-page: 1186 year: 2008 end-page: 1197 ident: bb0405 article-title: Alzheimer's disease diagnosis in individual subjects using structural MR images: validation studies publication-title: NeuroImage – volume: 63 start-page: 63 year: 2006 end-page: 72 ident: bb0025 article-title: Apolipoprotein E genotype and age-related myelin breakdown in healthy individuals: implications for cognitive decline and dementia publication-title: Arch. Gen. Psychiatry – volume: 57 start-page: 339 year: 2000 end-page: 344 ident: bb0135 article-title: Using serial registered brain magnetic resonance imaging to measure disease progression in Alzheimer disease: power calculations and estimates of sample size to detect treatment effects publication-title: Arch. Neurol. – volume: 36 start-page: 1200 year: 2007 end-page: 1206 ident: bb0370 article-title: Longitudinal and cross-sectional analysis of atrophy in Alzheimer's disease: cross-validation of BSI, SIENA and SIENAX publication-title: NeuroImage – volume: 32 start-page: 1341 year: 2011 end-page: 1371 ident: bb0020 article-title: Alzheimer's disease as homeostatic responses to age-related myelin breakdown publication-title: Neurobiol. Aging – volume: 17 start-page: 922 year: 2002 end-page: 927 ident: bb0245 article-title: An optimized individual target brain in the Talairach coordinate system publication-title: NeuroImage – volume: 2 start-page: 646 year: 2003 end-page: 653 ident: bb0310 article-title: Mild cognitive impairment clinical trials publication-title: Nat. Rev. Drug Discov. – year: 2006 ident: bb0165 article-title: Validation testing of the MRI calibration phantom for the Alzheimer's Disease Neuroimaging Initiative Study publication-title: ISMRM 14th Scientific Meeting and Exhibition – volume: 48 start-page: 668 year: 2009 end-page: 681 ident: bb0205 article-title: Optimizing power to track brain degeneration in Alzheimer's disease and mild cognitive impairment with tensor-based morphometry: an ADNI study of 515 subjects publication-title: NeuroImage – volume: 29 start-page: 1860 year: 2009 end-page: 1873 ident: bb0035 article-title: Cortical hubs revealed by intrinsic functional connectivity: mapping, assessment of stability, and relation to Alzheimer's disease publication-title: J. Neurosci. – volume: 14 start-page: 21 year: 2001 end-page: 36 ident: bb0160 article-title: A voxel-based morphometric study of ageing in 465 normal adult human brains publication-title: NeuroImage – volume: 18 start-page: 192 year: 1994 end-page: 205 ident: bb0090 article-title: Automatic 3D intersubject registration of MR volumetric data in standardized Talairach space publication-title: J. Comput. Assist. Tomogr. – volume: 22 start-page: 838 year: 1998 end-page: 843 ident: bb0150 article-title: Modeling brain deformations in Alzheimer disease by fluid registration of serial 3D MR images publication-title: J. Comput. Assist. Tomogr. – volume: 48 start-page: 1034 year: 1991 end-page: 1050 ident: bb0300 article-title: Linkage studies in familial Alzheimer disease: evidence for chromosome 19 linkage publication-title: Am. J. Hum. Genet. – volume: 22 start-page: 769 year: 2004 end-page: 777 ident: bb0330 article-title: Characterizing changes in MR images with color-coded Jacobians publication-title: Magn. Reson. Imaging – volume: 11 start-page: 805 year: 2000 end-page: 821 ident: bb0005 article-title: Voxel-based morphometry–the methods publication-title: NeuroImage – volume: 131 start-page: 2443 year: 2008 end-page: 2454 ident: bb0295 article-title: Ventricular enlargement as a possible measure of Alzheimer's disease progression validated using the Alzheimer's disease neuroimaging initiative database publication-title: Brain – volume: 61 start-page: 1402 year: 2012 end-page: 1418 ident: bb0325 article-title: Within-subject template estimation for unbiased longitudinal image analysis publication-title: NeuroImage – volume: 342 start-page: 710 year: 1993 end-page: 711 ident: bb0345 article-title: Apolipoprotein E epsilon 4 allele distributions in late-onset Alzheimer's disease and in other amyloid-forming diseases publication-title: Lancet – volume: 20 start-page: 568 year: 2001 end-page: 582 ident: bb0075 article-title: Consistent image registration publication-title: IEEE Trans. Med. Imaging – year: 1990 ident: bb0335 article-title: Fundamentals of Biostatistics – volume: 4 start-page: T110 year: 2008 end-page: T111 ident: bb0320 article-title: Twelve-month cerebral metabolic declines in probable Alzheimer's disease and amnestic mild cognitive impairment: Preliminary findings from the Alzheimer's disease neuroimaging initiative (ADNI) publication-title: Alzheimers Dement. – volume: 356 start-page: 1293 year: 2001 end-page: 1322 ident: bb0270 article-title: A probabilistic atlas and reference system for the human brain: International Consortium for Brain Mapping (ICBM) publication-title: Philos. Trans. R. Soc. Lond. B Biol. Sci. – volume: 47 start-page: 1506 year: 2009 end-page: 1513 ident: bb0085 article-title: Comparison of phantom and registration scaling corrections using the ADNI cohort publication-title: NeuroImage – volume: 27 start-page: 685 year: 2008 end-page: 691 ident: bb0220 article-title: The Alzheimer's Disease Neuroimaging Initiative (ADNI): MRI methods publication-title: J. Magn. Reson. Imaging – start-page: 1172 year: 2012 end-page: 1175 ident: bb0060 article-title: Phantom-based MRI corrections and power to track brain change publication-title: IEEE International Symposium on Biomedical Imaging – volume: 14 start-page: 298 year: 2001 end-page: 309 ident: bb0015 article-title: In vivo mapping of gray matter loss with voxel-based morphometry in mild Alzheimer's disease publication-title: NeuroImage – volume: 22 start-page: 1754 year: 2004 end-page: 1766 ident: bb0390 article-title: Mapping hippocampal and ventricular change in Alzheimer disease publication-title: NeuroImage – volume: 43 start-page: 1467 year: 1993 end-page: 1472 ident: bb0350 article-title: Association of apolipoprotein E allele epsilon 4 with late-onset familial and sporadic Alzheimer's disease publication-title: Neurology – year: 2009 ident: bb0050 article-title: Cross-sectional and longitudinal analyses of fluorodeoxyglucose positron emission tomography images from the Alzheimer's disease neuroimaging initiative publication-title: ADNI Data Presentations Meeting, Seattle, WA – volume: 16 start-page: 623 year: 1997 end-page: 629 ident: bb0145 article-title: The boundary shift integral: an accurate and robust measure of cerebral volume changes from registered repeat MRI publication-title: IEEE Trans. Med. Imaging – volume: 30 start-page: 1617 year: 2011 end-page: 1634 ident: bb0215 article-title: Robust brain extraction across datasets and comparison with publicly available methods publication-title: IEEE Trans. Med. Imaging – year: 1999 ident: bb0395 article-title: Brain Warping – volume: 15 start-page: 489 year: 2011 end-page: 497 ident: bb0185 article-title: Nonlinear registration of longitudinal images and measurement of change in regions of interest publication-title: Medical Image Analysis – volume: 30 start-page: 2766 year: 2009 end-page: 2788 ident: bb0275 article-title: Automated 3D mapping of hippocampal atrophy and its clinical correlates in 400 subjects with Alzheimer's disease, mild cognitive impairment, and elderly controls publication-title: Hum. Brain Mapp. – volume: 404 start-page: 190 year: 2000 end-page: 193 ident: bb0385 article-title: Growth patterns in the developing brain detected by using continuum mechanical tensor maps publication-title: Nature – volume: 18 start-page: 789 year: 2000 end-page: 806 ident: bb0305 article-title: Aging, mild cognitive impairment, and Alzheimer's disease publication-title: Neurol. Clin. – year: 2003 ident: bb0010 article-title: Morphometry publication-title: Human Brain Function – volume: 57 start-page: 5 year: 2011 end-page: 14 ident: bb0195 article-title: Accurate measurement of brain changes in longitudinal MRI scans using tensor-based morphometry publication-title: NeuroImage – volume: 45 start-page: S3 year: 2009 end-page: S15 ident: bb0280 article-title: Automated mapping of hippocampal atrophy in 1-year repeat MRI data from 490 subjects with Alzheimer's disease, mild cognitive impairment, and elderly controls publication-title: NeuroImage – year: 2008 ident: bb0450 article-title: Multi-atlas Tensorbased Morphometry and its Application to a Genetic Study of 92 Twins publication-title: Med Image Comput Comput Assist Interv Workshop on Mathematical Foundations of Computational Anatomy (MFCA) – volume: 2 start-page: 243 year: 1998 end-page: 260 ident: bb0380 article-title: Image matching as a diffusion process: an analogy with Maxwell's demons publication-title: Medical Image Analysis – volume: 6 start-page: 230 year: 2010 end-page: 238 ident: bb0400 article-title: Update on the biomarker core of the Alzheimer's Disease Neuroimaging Initiative subjects publication-title: Alzheimer's & Dementia : the Journal of the Alzheimer's Association – year: 1993 ident: bb0125 article-title: An introduction to the bootstrap – volume: 24 start-page: 325 year: 2005 end-page: 331 ident: bb0240 article-title: Mapping structural differences of the corpus callosum in individuals with 18q deletions using targetless regional spatial normalization publication-title: Hum. Brain Mapp. – volume: 31 start-page: 1259 year: 2010 end-page: 1262 ident: bb0155 article-title: Alzheimer's Disease Neuroimaging Initiative special issue publication-title: Neurobiol. Aging – year: 2012 ident: bb0340 article-title: Primary and Secondary Prevention Trials in Subjects at Risk of Developing Alzheimer's Disease: the GEPARD-AD (Genetically Enriched Population At Risk of Developing Alzheimer's Disease) Studies publication-title: CTAD conference, Monte Carlo, Monaco – volume: 14 start-page: 595 year: 2001 end-page: 606 ident: bb0080 article-title: A unified statistical approach to deformation-based morphometry publication-title: NeuroImage – volume: 81 start-page: 756 year: 2010 end-page: 763 ident: bb0175 article-title: The progression of regional atrophy in premanifest and early Huntington's disease: a longitudinal voxel-based morphometry study publication-title: J. Neurol. Neurosurg. Psychiatry – volume: 106 start-page: 20954 year: 2009 end-page: 20959 ident: bb0180 article-title: Subregional neuroanatomical change as a biomarker for Alzheimer's disease publication-title: Proc. Natl. Acad. Sci. U. S. A. – volume: 6 start-page: e207 year: 2010 ident: bb0410 article-title: The Alzheimer's disease neuroimaging initiative: progress report and future plans publication-title: Alzheimer's & Dementia : the Journal of the Alzheimer's Association – volume: 22 start-page: 153 year: 1998 end-page: 165 ident: bb0420 article-title: Automated image registration: II. Intersubject validation of linear and nonlinear models publication-title: J. Comput. Assist. Tomogr. – year: 1997 ident: bb0115 article-title: Bootstrap methods and their application – volume: 62 start-page: 1380 year: 2007 end-page: 1387 ident: bb0030 article-title: Apolipoprotein E affects both myelin breakdown and cognition: implications for age-related trajectories of decline into dementia publication-title: Biol. Psychiatry – year: 2012 ident: bb0170 article-title: Maximizing Power to Track Alzheimer's Disease Progression by LDA-Based Weighting of Longitudinal Ventricular Surface Features publication-title: The 15th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Novel Neuroimaging Biomarkers for Alzheimer's Disease and Related Disorders Workshop, Nice, France – volume: 31 start-page: 1481 year: 2010 end-page: 1492 ident: bb0105 article-title: Integrating ADNI results into Alzheimer's disease drug development programs publication-title: Neurobiol. Aging – volume: 7 start-page: 180 year: 1994 end-page: 184 ident: bb0095 article-title: Protective effect of apolipoprotein E type 2 allele for late onset Alzheimer disease publication-title: Nat. Genet. – volume: 15 start-page: 869 year: 2005 end-page: 877 ident: bb0285 article-title: The Alzheimer's disease neuroimaging initiative publication-title: Neuroimaging Clin. N. Am. – volume: 46 start-page: 394 year: 2009 end-page: 410 ident: bb0065 article-title: Mapping correlations between ventricular expansion and CSF amyloid and tau biomarkers in 240 subjects with Alzheimer's disease, mild cognitive impairment and elderly controls publication-title: NeuroImage – volume: 30 start-page: 436 year: 2006 end-page: 443 ident: bb0235 article-title: Reliability in multi-site structural MRI studies: effects of gradient non-linearity correction on phantom and human data publication-title: NeuroImage – volume: 30 start-page: 762 year: 2006 end-page: 774 ident: bb0425 article-title: Advances in white matter imaging: a review of in vivo magnetic resonance methodologies and their applicability to the study of development and aging publication-title: Neurosci. Biobehav. Rev. – volume: 27 start-page: 934 year: 2005 end-page: 946 ident: bb0055 article-title: Using voxel-based morphometry to map the structural changes associated with rapid conversion in MCI: a longitudinal MRI study publication-title: NeuroImage – volume: 57 start-page: 15 year: 2011 end-page: 18 ident: bb0140 article-title: Algorithms, atrophy and Alzheimer's disease: cautionary tales for clinical trials publication-title: NeuroImage – volume: 32 start-page: 150 year: 2009 end-page: 159 ident: bb0375 article-title: Tau pathophysiology in neurodegeneration: a tangled issue publication-title: Trends Neurosci. – volume: 52 start-page: 1397 year: 1999 end-page: 1403 ident: bb0230 article-title: Prediction of AD with MRI-based hippocampal volume in mild cognitive impairment publication-title: Neurology – year: 1983 ident: bb0265 article-title: Mathematical foundations of elasticity – volume: 58 start-page: 750 year: 2002 end-page: 757 ident: bb0225 article-title: Antemortem MRI findings correlate with hippocampal neuropathology in typical aging and dementia publication-title: Neurology – volume: 50 start-page: 434 year: 2010 end-page: 445 ident: bb0445 article-title: Bias in estimation of hippocampal atrophy using deformation-based morphometry arises from asymmetric global normalization: an illustration in ADNI 3 T MRI data publication-title: NeuroImage – volume: 33 start-page: 2586 year: 2012 end-page: 2602 ident: bb0190 article-title: Unbiased comparison of sample size estimates from longitudinal structural measures in ADNI publication-title: Hum. Brain Mapp – volume: 16 start-page: 623 year: 1997 ident: 10.1016/j.neuroimage.2012.10.086_bb0145 article-title: The boundary shift integral: an accurate and robust measure of cerebral volume changes from registered repeat MRI publication-title: IEEE Trans. Med. Imaging doi: 10.1109/42.640753 – volume: 132 start-page: 1067 issue: 4 year: 2009 ident: 10.1016/j.neuroimage.2012.10.086_bb0360 article-title: MRI of hippocampal volume loss in early Alzheimer's disease in relation to ApoE genotype and biomarkers publication-title: Brain doi: 10.1093/brain/awp007 – year: 1983 ident: 10.1016/j.neuroimage.2012.10.086_bb0265 – volume: 45 start-page: S3 year: 2009 ident: 10.1016/j.neuroimage.2012.10.086_bb0280 article-title: Automated mapping of hippocampal atrophy in 1-year repeat MRI data from 490 subjects with Alzheimer's disease, mild cognitive impairment, and elderly controls publication-title: NeuroImage doi: 10.1016/j.neuroimage.2008.10.043 – volume: 366 start-page: 2112 year: 2005 ident: 10.1016/j.neuroimage.2012.10.086_bb0130 article-title: Global prevalence of dementia: a Delphi consensus study publication-title: Lancet doi: 10.1016/S0140-6736(05)67889-0 – volume: 57 start-page: 339 year: 2000 ident: 10.1016/j.neuroimage.2012.10.086_bb0135 article-title: Using serial registered brain magnetic resonance imaging to measure disease progression in Alzheimer disease: power calculations and estimates of sample size to detect treatment effects publication-title: Arch. Neurol. doi: 10.1001/archneur.57.3.339 – volume: 6 start-page: 230 year: 2010 ident: 10.1016/j.neuroimage.2012.10.086_bb0400 article-title: Update on the biomarker core of the Alzheimer's Disease Neuroimaging Initiative subjects publication-title: Alzheimer's & Dementia : the Journal of the Alzheimer's Association doi: 10.1016/j.jalz.2010.03.008 – volume: 63 start-page: 63 year: 2006 ident: 10.1016/j.neuroimage.2012.10.086_bb0025 article-title: Apolipoprotein E genotype and age-related myelin breakdown in healthy individuals: implications for cognitive decline and dementia publication-title: Arch. Gen. Psychiatry doi: 10.1001/archpsyc.63.1.63 – volume: 48 start-page: 1034 year: 1991 ident: 10.1016/j.neuroimage.2012.10.086_bb0300 article-title: Linkage studies in familial Alzheimer disease: evidence for chromosome 19 linkage publication-title: Am. J. Hum. Genet. – volume: 22 start-page: 769 year: 2004 ident: 10.1016/j.neuroimage.2012.10.086_bb0330 article-title: Characterizing changes in MR images with color-coded Jacobians publication-title: Magn. Reson. Imaging doi: 10.1016/j.mri.2004.01.078 – volume: 47 start-page: 1506 year: 2009 ident: 10.1016/j.neuroimage.2012.10.086_bb0085 article-title: Comparison of phantom and registration scaling corrections using the ADNI cohort publication-title: NeuroImage doi: 10.1016/j.neuroimage.2009.05.045 – year: 2003 ident: 10.1016/j.neuroimage.2012.10.086_bb0315 – volume: 22 start-page: 153 year: 1998 ident: 10.1016/j.neuroimage.2012.10.086_bb0420 article-title: Automated image registration: II. Intersubject validation of linear and nonlinear models publication-title: J. Comput. Assist. Tomogr. doi: 10.1097/00004728-199801000-00028 – volume: 17 start-page: 922 year: 2002 ident: 10.1016/j.neuroimage.2012.10.086_bb0245 article-title: An optimized individual target brain in the Talairach coordinate system publication-title: NeuroImage doi: 10.1006/nimg.2002.1084 – start-page: 493 year: 2005 ident: 10.1016/j.neuroimage.2012.10.086_bb0250 article-title: Inverse Consistent Mapping in 3D Deformable Image Registration: Its Construction and Statistical Properties – volume: 57 start-page: 15 year: 2011 ident: 10.1016/j.neuroimage.2012.10.086_bb0140 article-title: Algorithms, atrophy and Alzheimer's disease: cautionary tales for clinical trials publication-title: NeuroImage doi: 10.1016/j.neuroimage.2011.01.077 – volume: 32 start-page: 1341 year: 2011 ident: 10.1016/j.neuroimage.2012.10.086_bb0020 article-title: Alzheimer's disease as homeostatic responses to age-related myelin breakdown publication-title: Neurobiol. Aging doi: 10.1016/j.neurobiolaging.2009.08.007 – volume: 29 start-page: 1860 year: 2009 ident: 10.1016/j.neuroimage.2012.10.086_bb0035 article-title: Cortical hubs revealed by intrinsic functional connectivity: mapping, assessment of stability, and relation to Alzheimer's disease publication-title: J. Neurosci. doi: 10.1523/JNEUROSCI.5062-08.2009 – volume: 46 start-page: 394 year: 2009 ident: 10.1016/j.neuroimage.2012.10.086_bb0065 article-title: Mapping correlations between ventricular expansion and CSF amyloid and tau biomarkers in 240 subjects with Alzheimer's disease, mild cognitive impairment and elderly controls publication-title: NeuroImage doi: 10.1016/j.neuroimage.2009.02.015 – year: 2009 ident: 10.1016/j.neuroimage.2012.10.086_bb0050 article-title: Cross-sectional and longitudinal analyses of fluorodeoxyglucose positron emission tomography images from the Alzheimer's disease neuroimaging initiative – volume: 17 start-page: 87 year: 1998 ident: 10.1016/j.neuroimage.2012.10.086_bb0365 article-title: A nonparametric method for automatic correction of intensity nonuniformity in MRI data publication-title: IEEE Trans. Med. Imaging doi: 10.1109/42.668698 – volume: 50 start-page: 434 year: 2010 ident: 10.1016/j.neuroimage.2012.10.086_bb0445 article-title: Bias in estimation of hippocampal atrophy using deformation-based morphometry arises from asymmetric global normalization: an illustration in ADNI 3 T MRI data publication-title: NeuroImage doi: 10.1016/j.neuroimage.2009.12.007 – volume: 48 start-page: 668 year: 2009 ident: 10.1016/j.neuroimage.2012.10.086_bb0205 article-title: Optimizing power to track brain degeneration in Alzheimer's disease and mild cognitive impairment with tensor-based morphometry: an ADNI study of 515 subjects publication-title: NeuroImage doi: 10.1016/j.neuroimage.2009.07.011 – volume: 4 start-page: T110 year: 2008 ident: 10.1016/j.neuroimage.2012.10.086_bb0320 article-title: Twelve-month cerebral metabolic declines in probable Alzheimer's disease and amnestic mild cognitive impairment: Preliminary findings from the Alzheimer's disease neuroimaging initiative (ADNI) publication-title: Alzheimers Dement. doi: 10.1016/j.jalz.2008.05.225 – volume: 22 start-page: 838 year: 1998 ident: 10.1016/j.neuroimage.2012.10.086_bb0150 article-title: Modeling brain deformations in Alzheimer disease by fluid registration of serial 3D MR images publication-title: J. Comput. Assist. Tomogr. doi: 10.1097/00004728-199809000-00031 – volume: 31 start-page: 1259 year: 2010 ident: 10.1016/j.neuroimage.2012.10.086_bb0155 article-title: Alzheimer's Disease Neuroimaging Initiative special issue publication-title: Neurobiol. Aging doi: 10.1016/j.neurobiolaging.2010.05.006 – year: 2006 ident: 10.1016/j.neuroimage.2012.10.086_bb0165 article-title: Validation testing of the MRI calibration phantom for the Alzheimer's Disease Neuroimaging Initiative Study – volume: 36 start-page: 1200 year: 2007 ident: 10.1016/j.neuroimage.2012.10.086_bb0370 article-title: Longitudinal and cross-sectional analysis of atrophy in Alzheimer's disease: cross-validation of BSI, SIENA and SIENAX publication-title: NeuroImage doi: 10.1016/j.neuroimage.2007.04.035 – volume: 33 start-page: 2586 year: 2012 ident: 10.1016/j.neuroimage.2012.10.086_bb0190 article-title: Unbiased comparison of sample size estimates from longitudinal structural measures in ADNI publication-title: Hum. Brain Mapp doi: 10.1002/hbm.21386 – volume: 40 start-page: 615 year: 2008 ident: 10.1016/j.neuroimage.2012.10.086_bb0070 article-title: Automated ventricular mapping with multi-atlas fluid image alignment reveals genetic effects in Alzheimer's disease publication-title: NeuroImage doi: 10.1016/j.neuroimage.2007.11.047 – volume: 8 start-page: S1 year: 2012 ident: 10.1016/j.neuroimage.2012.10.086_bb0415 article-title: The Alzheimer's Disease Neuroimaging Initiative: A review of papers published since its inception publication-title: Alzheimer's & Dementia : the Journal of the Alzheimer's Association doi: 10.1016/j.jalz.2011.09.172 – volume: 22 start-page: 1754 year: 2004 ident: 10.1016/j.neuroimage.2012.10.086_bb0390 article-title: Mapping hippocampal and ventricular change in Alzheimer disease publication-title: NeuroImage doi: 10.1016/j.neuroimage.2004.03.040 – year: 2012 ident: 10.1016/j.neuroimage.2012.10.086_bb0170 article-title: Maximizing Power to Track Alzheimer's Disease Progression by LDA-Based Weighting of Longitudinal Ventricular Surface Features – volume: 14 start-page: 21 year: 2001 ident: 10.1016/j.neuroimage.2012.10.086_bb0160 article-title: A voxel-based morphometric study of ageing in 465 normal adult human brains publication-title: NeuroImage doi: 10.1006/nimg.2001.0786 – volume: 15 start-page: 869 year: 2005 ident: 10.1016/j.neuroimage.2012.10.086_bb0285 article-title: The Alzheimer's disease neuroimaging initiative publication-title: Neuroimaging Clin. N. Am. doi: 10.1016/j.nic.2005.09.008 – start-page: 1 year: 2012 ident: 10.1016/j.neuroimage.2012.10.086_bb0120 article-title: Plans under way for Alzheimer's prevention trial publication-title: Neurology Today – year: 2008 ident: 10.1016/j.neuroimage.2012.10.086_bb0450 article-title: Multi-atlas Tensorbased Morphometry and its Application to a Genetic Study of 92 Twins – volume: 81 start-page: 756 year: 2010 ident: 10.1016/j.neuroimage.2012.10.086_bb0175 article-title: The progression of regional atrophy in premanifest and early Huntington's disease: a longitudinal voxel-based morphometry study publication-title: J. Neurol. Neurosurg. Psychiatry doi: 10.1136/jnnp.2009.190702 – year: 1993 ident: 10.1016/j.neuroimage.2012.10.086_bb0125 – volume: 342 start-page: 710 year: 1993 ident: 10.1016/j.neuroimage.2012.10.086_bb0345 article-title: Apolipoprotein E epsilon 4 allele distributions in late-onset Alzheimer's disease and in other amyloid-forming diseases publication-title: Lancet doi: 10.1016/0140-6736(93)91709-U – volume: 30 start-page: 1617 year: 2011 ident: 10.1016/j.neuroimage.2012.10.086_bb0215 article-title: Robust brain extraction across datasets and comparison with publicly available methods publication-title: IEEE Trans. Med. Imaging doi: 10.1109/TMI.2011.2138152 – volume: 57 start-page: 5 year: 2011 ident: 10.1016/j.neuroimage.2012.10.086_bb0195 article-title: Accurate measurement of brain changes in longitudinal MRI scans using tensor-based morphometry publication-title: NeuroImage doi: 10.1016/j.neuroimage.2011.01.079 – year: 2012 ident: 10.1016/j.neuroimage.2012.10.086_bb0340 article-title: Primary and Secondary Prevention Trials in Subjects at Risk of Developing Alzheimer's Disease: the GEPARD-AD (Genetically Enriched Population At Risk of Developing Alzheimer's Disease) Studies – year: 1997 ident: 10.1016/j.neuroimage.2012.10.086_bb0115 – volume: 52 start-page: 1397 year: 1999 ident: 10.1016/j.neuroimage.2012.10.086_bb0230 article-title: Prediction of AD with MRI-based hippocampal volume in mild cognitive impairment publication-title: Neurology doi: 10.1212/WNL.52.7.1397 – start-page: 315 year: 2006 ident: 10.1016/j.neuroimage.2012.10.086_bb0040 article-title: Mapping ventricular changes related to dementia and mild cognitive impairment in a large community-based cohort publication-title: IEEE ISBI – year: 1990 ident: 10.1016/j.neuroimage.2012.10.086_bb0335 – volume: 51 start-page: 654 year: 2010 ident: 10.1016/j.neuroimage.2012.10.086_bb0045 article-title: Twelve-month metabolic declines in probable Alzheimer's disease and amnestic mild cognitive impairment assessed using an empirically pre-defined statistical region-of-interest: findings from the Alzheimer's Disease Neuroimaging Initiative publication-title: NeuroImage doi: 10.1016/j.neuroimage.2010.02.064 – volume: 2 start-page: 243 year: 1998 ident: 10.1016/j.neuroimage.2012.10.086_bb0380 article-title: Image matching as a diffusion process: an analogy with Maxwell's demons publication-title: Medical Image Analysis doi: 10.1016/S1361-8415(98)80022-4 – volume: 106 start-page: 20954 year: 2009 ident: 10.1016/j.neuroimage.2012.10.086_bb0180 article-title: Subregional neuroanatomical change as a biomarker for Alzheimer's disease publication-title: Proc. Natl. Acad. Sci. U. S. A. doi: 10.1073/pnas.0906053106 – volume: 14 start-page: 298 year: 2001 ident: 10.1016/j.neuroimage.2012.10.086_bb0015 article-title: In vivo mapping of gray matter loss with voxel-based morphometry in mild Alzheimer's disease publication-title: NeuroImage doi: 10.1006/nimg.2001.0848 – volume: 62 start-page: 1380 year: 2007 ident: 10.1016/j.neuroimage.2012.10.086_bb0030 article-title: Apolipoprotein E affects both myelin breakdown and cognition: implications for age-related trajectories of decline into dementia publication-title: Biol. Psychiatry doi: 10.1016/j.biopsych.2007.03.024 – volume: 404 start-page: 190 year: 2000 ident: 10.1016/j.neuroimage.2012.10.086_bb0385 article-title: Growth patterns in the developing brain detected by using continuum mechanical tensor maps publication-title: Nature doi: 10.1038/35004593 – volume: 6 start-page: e207 issue: 202–211 year: 2010 ident: 10.1016/j.neuroimage.2012.10.086_bb0410 article-title: The Alzheimer's disease neuroimaging initiative: progress report and future plans publication-title: Alzheimer's & Dementia : the Journal of the Alzheimer's Association – year: 2012 ident: 10.1016/j.neuroimage.2012.10.086_bb0430 – volume: 261 start-page: 921 year: 1993 ident: 10.1016/j.neuroimage.2012.10.086_bb0100 article-title: Gene dose of apolipoprotein E type 4 allele and the risk of Alzheimer's disease in late onset families publication-title: Science doi: 10.1126/science.8346443 – volume: 2 start-page: 646 year: 2003 ident: 10.1016/j.neuroimage.2012.10.086_bb0310 article-title: Mild cognitive impairment clinical trials publication-title: Nat. Rev. Drug Discov. doi: 10.1038/nrd1155 – volume: 18 start-page: 192 year: 1994 ident: 10.1016/j.neuroimage.2012.10.086_bb0090 article-title: Automatic 3D intersubject registration of MR volumetric data in standardized Talairach space publication-title: J. Comput. Assist. Tomogr. doi: 10.1097/00004728-199403000-00005 – volume: 7 start-page: 180 year: 1994 ident: 10.1016/j.neuroimage.2012.10.086_bb0095 article-title: Protective effect of apolipoprotein E type 2 allele for late onset Alzheimer disease publication-title: Nat. Genet. doi: 10.1038/ng0694-180 – volume: 356 start-page: 1293 year: 2001 ident: 10.1016/j.neuroimage.2012.10.086_bb0270 article-title: A probabilistic atlas and reference system for the human brain: International Consortium for Brain Mapping (ICBM) publication-title: Philos. Trans. R. Soc. Lond. B Biol. Sci. doi: 10.1098/rstb.2001.0915 – year: 1999 ident: 10.1016/j.neuroimage.2012.10.086_bb0395 – volume: 131 start-page: 2443 year: 2008 ident: 10.1016/j.neuroimage.2012.10.086_bb0295 article-title: Ventricular enlargement as a possible measure of Alzheimer's disease progression validated using the Alzheimer's disease neuroimaging initiative database publication-title: Brain doi: 10.1093/brain/awn146 – volume: 6 start-page: 29 year: 1994 ident: 10.1016/j.neuroimage.2012.10.086_bb0355 article-title: Genetic associations with human longevity at the APOE and ACE loci publication-title: Nat. Genet. doi: 10.1038/ng0194-29 – volume: 39 start-page: 1186 year: 2008 ident: 10.1016/j.neuroimage.2012.10.086_bb0405 article-title: Alzheimer's disease diagnosis in individual subjects using structural MR images: validation studies publication-title: NeuroImage doi: 10.1016/j.neuroimage.2007.09.073 – volume: 11 start-page: 805 year: 2000 ident: 10.1016/j.neuroimage.2012.10.086_bb0005 article-title: Voxel-based morphometry–the methods publication-title: NeuroImage doi: 10.1006/nimg.2000.0582 – year: 2003 ident: 10.1016/j.neuroimage.2012.10.086_bb0010 article-title: Morphometry – volume: 27 start-page: 934 year: 2005 ident: 10.1016/j.neuroimage.2012.10.086_bb0055 article-title: Using voxel-based morphometry to map the structural changes associated with rapid conversion in MCI: a longitudinal MRI study publication-title: NeuroImage doi: 10.1016/j.neuroimage.2005.05.015 – start-page: 1172 year: 2012 ident: 10.1016/j.neuroimage.2012.10.086_bb0060 article-title: Phantom-based MRI corrections and power to track brain change publication-title: IEEE International Symposium on Biomedical Imaging – volume: 41 start-page: 1220 year: 2008 ident: 10.1016/j.neuroimage.2012.10.086_bb0110 article-title: Individual patient diagnosis of AD and FTD via high-dimensional pattern classification of MRI publication-title: NeuroImage doi: 10.1016/j.neuroimage.2008.03.050 – volume: 24 start-page: 325 year: 2005 ident: 10.1016/j.neuroimage.2012.10.086_bb0240 article-title: Mapping structural differences of the corpus callosum in individuals with 18q deletions using targetless regional spatial normalization publication-title: Hum. Brain Mapp. doi: 10.1002/hbm.20090 – volume: 1 start-page: 1 year: 2008 ident: 10.1016/j.neuroimage.2012.10.086_bb0440 article-title: Asymmetric and symmetric unbiased image registration: statistical assessment of performance publication-title: IEEE Computer Society Workshop on Mathematical Methods in Biomedical Image Analysis – volume: 61 start-page: 1402 year: 2012 ident: 10.1016/j.neuroimage.2012.10.086_bb0325 article-title: Within-subject template estimation for unbiased longitudinal image analysis publication-title: NeuroImage doi: 10.1016/j.neuroimage.2012.02.084 – volume: 13 start-page: 679 year: 2009 ident: 10.1016/j.neuroimage.2012.10.086_bb0435 article-title: Comparing registration methods for mapping brain change using tensor-based morphometry publication-title: Medical Image Analysis doi: 10.1016/j.media.2009.06.002 – volume: 15 start-page: 489 year: 2011 ident: 10.1016/j.neuroimage.2012.10.086_bb0185 article-title: Nonlinear registration of longitudinal images and measurement of change in regions of interest publication-title: Medical Image Analysis doi: 10.1016/j.media.2011.02.005 – volume: 43 start-page: 1467 year: 1993 ident: 10.1016/j.neuroimage.2012.10.086_bb0350 article-title: Association of apolipoprotein E allele epsilon 4 with late-onset familial and sporadic Alzheimer's disease publication-title: Neurology doi: 10.1212/WNL.43.8.1467 – volume: 43 start-page: 458 year: 2008 ident: 10.1016/j.neuroimage.2012.10.086_bb0210 article-title: Tensor-based morphometry as a neuroimaging biomarker for Alzheimer's disease: an MRI study of 676 AD, MCI, and normal subjects publication-title: NeuroImage doi: 10.1016/j.neuroimage.2008.07.013 – volume: 30 start-page: 2766 year: 2009 ident: 10.1016/j.neuroimage.2012.10.086_bb0275 article-title: Automated 3D mapping of hippocampal atrophy and its clinical correlates in 400 subjects with Alzheimer's disease, mild cognitive impairment, and elderly controls publication-title: Hum. Brain Mapp. doi: 10.1002/hbm.20708 – volume: 31 start-page: 1481 year: 2010 ident: 10.1016/j.neuroimage.2012.10.086_bb0105 article-title: Integrating ADNI results into Alzheimer's disease drug development programs publication-title: Neurobiol. Aging doi: 10.1016/j.neurobiolaging.2010.03.016 – volume: 32 start-page: 150 year: 2009 ident: 10.1016/j.neuroimage.2012.10.086_bb0375 article-title: Tau pathophysiology in neurodegeneration: a tangled issue publication-title: Trends Neurosci. doi: 10.1016/j.tins.2008.11.007 – volume: 18 start-page: 789 year: 2000 ident: 10.1016/j.neuroimage.2012.10.086_bb0305 article-title: Aging, mild cognitive impairment, and Alzheimer's disease publication-title: Neurol. Clin. doi: 10.1016/S0733-8619(05)70226-7 – volume: 1 start-page: 55 year: 2005 ident: 10.1016/j.neuroimage.2012.10.086_bb0290 article-title: Ways toward an early diagnosis in Alzheimer's disease: The Alzheimer's Disease Neuroimaging Initiative (ADNI) publication-title: Alzheimers Dement. doi: 10.1016/j.jalz.2005.06.003 – volume: 51 start-page: 63 year: 2010 ident: 10.1016/j.neuroimage.2012.10.086_bb0200 article-title: Mapping Alzheimer's disease progression in 1309 MRI scans: power estimates for different inter-scan intervals publication-title: NeuroImage doi: 10.1016/j.neuroimage.2010.01.104 – volume: 30 start-page: 436 year: 2006 ident: 10.1016/j.neuroimage.2012.10.086_bb0235 article-title: Reliability in multi-site structural MRI studies: effects of gradient non-linearity correction on phantom and human data publication-title: NeuroImage doi: 10.1016/j.neuroimage.2005.09.046 – volume: 58 start-page: 750 year: 2002 ident: 10.1016/j.neuroimage.2012.10.086_bb0225 article-title: Antemortem MRI findings correlate with hippocampal neuropathology in typical aging and dementia publication-title: Neurology doi: 10.1212/WNL.58.5.750 – volume: 27 start-page: 685 year: 2008 ident: 10.1016/j.neuroimage.2012.10.086_bb0220 article-title: The Alzheimer's Disease Neuroimaging Initiative (ADNI): MRI methods publication-title: J. Magn. Reson. Imaging doi: 10.1002/jmri.21049 – volume: 20 start-page: 568 year: 2001 ident: 10.1016/j.neuroimage.2012.10.086_bb0075 article-title: Consistent image registration publication-title: IEEE Trans. Med. Imaging doi: 10.1109/42.932742 – volume: 14 start-page: 595 year: 2001 ident: 10.1016/j.neuroimage.2012.10.086_bb0080 article-title: A unified statistical approach to deformation-based morphometry publication-title: NeuroImage doi: 10.1006/nimg.2001.0862 – volume: 30 start-page: 762 year: 2006 ident: 10.1016/j.neuroimage.2012.10.086_bb0425 article-title: Advances in white matter imaging: a review of in vivo magnetic resonance methodologies and their applicability to the study of development and aging publication-title: Neurosci. Biobehav. Rev. doi: 10.1016/j.neubiorev.2006.06.003 |
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| Title | Unbiased tensor-based morphometry: Improved robustness and sample size estimates for Alzheimer's disease clinical trials |
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