Individualized Gaussian process-based prediction and detection of local and global gray matter abnormalities in elderly subjects
Structural imaging based on MRI is an integral component of the clinical assessment of patients with potential dementia. We here propose an individualized Gaussian process-based inference scheme for clinical decision support in healthy and pathological aging elderly subjects using MRI. The approach...
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| Published in | NeuroImage (Orlando, Fla.) Vol. 97; pp. 333 - 348 |
|---|---|
| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
Amsterdam
Elsevier Inc
15.08.2014
Elsevier Elsevier Limited Academic Press |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1053-8119 1095-9572 1095-9572 |
| DOI | 10.1016/j.neuroimage.2014.04.018 |
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| Abstract | Structural imaging based on MRI is an integral component of the clinical assessment of patients with potential dementia. We here propose an individualized Gaussian process-based inference scheme for clinical decision support in healthy and pathological aging elderly subjects using MRI. The approach aims at quantitative and transparent support for clinicians who aim to detect structural abnormalities in patients at risk of Alzheimer's disease or other types of dementia. Firstly, we introduce a generative model incorporating our knowledge about normative decline of local and global gray matter volume across the brain in elderly. By supposing smooth structural trajectories the models account for the general course of age-related structural decline as well as late-life accelerated loss. Considering healthy subjects' demography and global brain parameters as informative about normal brain aging variability affords individualized predictions in single cases. Using Gaussian process models as a normative reference, we predict new subjects' brain scans and quantify the local gray matter abnormalities in terms of Normative Probability Maps (NPM) and global z-scores. By integrating the observed expectation error and the predictive uncertainty, the local maps and global scores exploit the advantages of Bayesian inference for clinical decisions and provide a valuable extension of diagnostic information about pathological aging. We validate the approach in simulated data and real MRI data. We train the GP framework using 1238 healthy subjects with ages 18–94years, and predict in 415 independent test subjects diagnosed as healthy controls, Mild Cognitive Impairment and Alzheimer's disease.
•We propose an approach to support individualized clinical decisions in elderlies.•Gaussian process models are used to build a normative generative model of aging.•It affords probabilistic predictions of local gray matter volume in subjects.•We validate the model using simulated and large real MRI data samples. |
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| AbstractList | Structural imaging based on MRI is an integral component of the clinical assessment of patients with potential dementia. We here propose an individualized Gaussian process-based inference scheme for clinical decision support in healthy and pathological aging elderly subjects using MRI. The approach aims at quantitative and transparent support for clinicians who aim to detect structural abnormalities in patients at risk of Alzheimer's disease or other types of dementia. Firstly, we introduce a generative model incorporating our knowledge about normative decline of local and global gray matter volume across the brain in elderly. By supposing smooth structural trajectories the models account for the general course of age-related structural decline as well as late-life accelerated loss. Considering healthy subjects' demography and global brain parameters as informative about normal brain aging variability affords individualized predictions in single cases. Using Gaussian process models as a normative reference, we predict new subjects' brain scans and quantify the local gray matter abnormalities in terms of Normative Probability Maps (NPM) and global z-scores. By integrating the observed expectation error and the predictive uncertainty, the local maps and global scores exploit the advantages of Bayesian inference for clinical decisions and provide a valuable extension of diagnostic information about pathological aging. We validate the approach in simulated data and real MRI data. We train the GP framework using 1238 healthy subjects with ages 18-94years, and predict in 415 independent test subjects diagnosed as healthy controls, Mild Cognitive Impairment and Alzheimer's disease. Structural imaging based on MRI is an integral component of the clinical assessment of patients with potential dementia. We here propose an individualized Gaussian process-based inference scheme for clinical decision support in healthy and pathological aging elderly subjects using MRI. The approach aims at quantitative and transparent support for clinicians who aim to detect structural abnormalities in patients at risk of Alzheimer's disease or other types of dementia. Firstly, we introduce a generative model incorporating our knowledge about normative decline of local and global gray matter volume across the brain in elderly. By supposing smooth structural trajectories the models account for the general course of age-related structural decline as well as late-life accelerated loss. Considering healthy subjects' demography and global brain parameters as informative about normal brain aging variability affords individualized predictions in single cases. Using Gaussian process models as a normative reference, we predict new subjects' brain scans and quantify the local gray matter abnormalities in terms of Normative Probability Maps (NPM) and global z-scores. By integrating the observed expectation error and the predictive uncertainty, the local maps and global scores exploit the advantages of Bayesian inference for clinical decisions and provide a valuable extension of diagnostic information about pathological aging. We validate the approach in simulated data and real MRI data. We train the GP framework using 1238 healthy subjects with ages 18-94 years, and predict in 415 independent test subjects diagnosed as healthy controls, Mild Cognitive Impairment and Alzheimer's disease. Structural imaging based on MRI is an integral component of the clinical assessment of patients with potential dementia. We here propose an individualized Gaussian process-based inference scheme for clinical decision support in healthy and pathological aging elderly subjects using MRI. The approach aims at quantitative and transparent support for clinicians who aim to detect structural abnormalities in patients at risk of Alzheimer's disease or other types of dementia. Firstly, we introduce a generative model incorporating our knowledge about normative decline of local and global gray matter volume across the brain in elderly. By supposing smooth structural trajectories the models account for the general course of age-related structural decline as well as late-life accelerated loss. Considering healthy subjects' demography and global brain parameters as informative about normal brain aging variability affords individualized predictions in single cases. Using Gaussian process models as a normative reference, we predict new subjects' brain scans and quantify the local gray matter abnormalities in terms of Normative Probability Maps (NPM) and global z-scores. By integrating the observed expectation error and the predictive uncertainty, the local maps and global scores exploit the advantages of Bayesian inference for clinical decisions and provide a valuable extension of diagnostic information about pathological aging. We validate the approach in simulated data and real MRI data. We train the GP framework using 1238 healthy subjects with ages 18-94 years, and predict in 415 independent test subjects diagnosed as healthy controls, Mild Cognitive Impairment and Alzheimer's disease.Structural imaging based on MRI is an integral component of the clinical assessment of patients with potential dementia. We here propose an individualized Gaussian process-based inference scheme for clinical decision support in healthy and pathological aging elderly subjects using MRI. The approach aims at quantitative and transparent support for clinicians who aim to detect structural abnormalities in patients at risk of Alzheimer's disease or other types of dementia. Firstly, we introduce a generative model incorporating our knowledge about normative decline of local and global gray matter volume across the brain in elderly. By supposing smooth structural trajectories the models account for the general course of age-related structural decline as well as late-life accelerated loss. Considering healthy subjects' demography and global brain parameters as informative about normal brain aging variability affords individualized predictions in single cases. Using Gaussian process models as a normative reference, we predict new subjects' brain scans and quantify the local gray matter abnormalities in terms of Normative Probability Maps (NPM) and global z-scores. By integrating the observed expectation error and the predictive uncertainty, the local maps and global scores exploit the advantages of Bayesian inference for clinical decisions and provide a valuable extension of diagnostic information about pathological aging. We validate the approach in simulated data and real MRI data. We train the GP framework using 1238 healthy subjects with ages 18-94 years, and predict in 415 independent test subjects diagnosed as healthy controls, Mild Cognitive Impairment and Alzheimer's disease. Structural imaging based on MRI is an integral component of the clinical assessment of patients with potential dementia. We here propose an individualized Gaussian process-based inference scheme for clinical decision support in healthy and pathological aging elderly subjects using MRI. The approach aims at quantitative and transparent support for clinicians who aim to detect structural abnormalities in patients at risk of Alzheimer's disease or other types of dementia. Firstly, we introduce a generative model incorporating our knowledge about normative decline of local and global gray matter volume across the brain in elderly. By supposing smooth structural trajectories the models account for the general course of age-related structural decline as well as late-life accelerated loss. Considering healthy subjects' demography and global brain parameters as informative about normal brain aging variability affords individualized predictions in single cases. Using Gaussian process models as a normative reference, we predict new subjects' brain scans and quantify the local gray matter abnormalities in terms of Normative Probability Maps (NPM) and global z-scores. By integrating the observed expectation error and the predictive uncertainty, the local maps and global scores exploit the advantages of Bayesian inference for clinical decisions and provide a valuable extension of diagnostic information about pathological aging. We validate the approach in simulated data and real MRI data. We train the GP framework using 1238 healthy subjects with ages 18–94 years, and predict in 415 independent test subjects diagnosed as healthy controls, Mild Cognitive Impairment and Alzheimer's disease. • We propose an approach to support individualized clinical decisions in elderlies. • Gaussian process models are used to build a normative generative model of aging. • It affords probabilistic predictions of local gray matter volume in subjects. • We validate the model using simulated and large real MRI data samples. Structural imaging based on MRI is an integral component of the clinical assessment of patients with potential dementia. We here propose an individualized Gaussian process-based inference scheme for clinical decision support in healthy and pathological aging elderly subjects using MRI. The approach aims at quantitative and transparent support for clinicians who aim to detect structural abnormalities in patients at risk of Alzheimer's disease or other types of dementia. Firstly, we introduce a generative model incorporating our knowledge about normative decline of local and global gray matter volume across the brain in elderly. By supposing smooth structural trajectories the models account for the general course of age-related structural decline as well as late-life accelerated loss. Considering healthy subjects' demography and global brain parameters as informative about normal brain aging variability affords individualized predictions in single cases. Using Gaussian process models as a normative reference, we predict new subjects' brain scans and quantify the local gray matter abnormalities in terms of Normative Probability Maps (NPM) and global z-scores. By integrating the observed expectation error and the predictive uncertainty, the local maps and global scores exploit the advantages of Bayesian inference for clinical decisions and provide a valuable extension of diagnostic information about pathological aging. We validate the approach in simulated data and real MRI data. We train the GP framework using 1238 healthy subjects with ages 18–94years, and predict in 415 independent test subjects diagnosed as healthy controls, Mild Cognitive Impairment and Alzheimer's disease. •We propose an approach to support individualized clinical decisions in elderlies.•Gaussian process models are used to build a normative generative model of aging.•It affords probabilistic predictions of local gray matter volume in subjects.•We validate the model using simulated and large real MRI data samples. |
| Author | Ridgway, G.R. Gaser, C. Ziegler, G. Dahnke, R. |
| Author_xml | – sequence: 1 givenname: G. surname: Ziegler fullname: Ziegler, G. email: g.ziegler@ucl.ac.uk organization: Wellcome Trust Center for Neuroimaging, Institute of Neurology, London, UK – sequence: 2 givenname: G.R. surname: Ridgway fullname: Ridgway, G.R. organization: Wellcome Trust Center for Neuroimaging, Institute of Neurology, London, UK – sequence: 3 givenname: R. surname: Dahnke fullname: Dahnke, R. organization: Department of Psychiatry, Jena University Hospital, Jena, Germany – sequence: 4 givenname: C. surname: Gaser fullname: Gaser, C. organization: Department of Psychiatry, Jena University Hospital, Jena, Germany |
| BackLink | http://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=28580621$$DView record in Pascal Francis https://www.ncbi.nlm.nih.gov/pubmed/24742919$$D View this record in MEDLINE/PubMed |
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| Cites_doi | 10.1371/journal.pcbi.1002987 10.1016/j.neuroimage.2008.10.031 10.1016/j.mcna.2012.12.013 10.1093/brain/awn298 10.1016/j.neuroimage.2007.07.007 10.1016/j.nicl.2013.03.005 10.1016/j.neuroimage.2013.05.036 10.1016/j.neuroimage.2012.10.064 10.1016/S1474-4422(10)70223-4 10.1371/journal.pone.0022193 10.3174/ajnr.A1390 10.1016/j.neuroimage.2010.03.020 10.1111/j.2517-6161.1964.tb00553.x 10.1515/REVNEURO.2010.21.3.187 10.1016/j.neuroimage.2007.08.013 10.1016/j.neuroimage.2004.04.021 10.1016/j.neuroimage.2012.12.045 10.1016/j.neurobiolaging.2013.06.015 10.1109/TPAMI.2006.238 10.1006/nimg.2002.1153 10.1088/0031-9155/57/12/N183 10.1111/j.1467-9868.2008.00663.x 10.1016/j.neuropsychologia.2009.08.020 10.1038/nrneurol.2009.215 10.1016/j.cortex.2011.10.002 10.1016/j.neuroimage.2013.05.007 10.1016/j.neuroimage.2005.02.018 10.1006/nimg.2001.0786 10.1016/j.neuroimage.2009.06.043 10.1076/clin.12.4.482.7241 10.1371/journal.pone.0026538 10.1109/TMI.2011.2122341 10.1109/TBME.2013.2244598 10.1371/journal.pone.0067346 10.1002/1531-8249(200001)47:1<36::AID-ANA8>3.0.CO;2-L 10.1016/j.cortex.2011.06.021 10.1016/j.neuroimage.2010.01.061 10.1109/42.563663 10.1016/j.neuroimage.2010.01.004 10.1001/archneur.64.1.108 10.1016/j.neuroimage.2011.11.002 10.1098/rstb.2002.1210 10.1016/j.neurobiolaging.2009.05.013 10.1016/j.jalz.2005.06.003 10.1016/j.neurobiolaging.2010.04.029 10.1002/hbm.21374 10.1006/nimg.2000.0582 10.1016/j.neubiorev.2006.07.001 10.1001/archneurol.2010.284 10.1016/j.nicl.2013.05.004 10.1109/TMI.2005.857652 10.1212/01.WNL.0000133114.92694.93 10.1016/j.neuroimage.2011.12.086 10.1016/j.neuroimage.2006.11.037 10.1016/j.neuroimage.2013.05.088 10.1002/gps.2640 10.1001/archneurol.2012.1527 10.1016/j.neuroimage.2005.07.021 10.1093/brain/awp091 10.1016/j.jalz.2011.03.005 10.1093/cercor/bhi044 10.1006/nimg.1999.0481 10.1016/j.cortex.2011.08.005 10.1016/j.neuroimage.2010.08.044 10.1001/archgenpsychiatry.2010.178 10.1016/j.neuroimage.2012.04.056 10.1016/j.neuroimage.2004.05.007 10.1016/j.neuroimage.2009.10.072 10.1016/j.neuroimage.2011.06.042 10.1016/j.neuroimage.2010.04.272 10.1093/brain/awm319 10.1016/j.neurobiolaging.2013.04.006 10.1016/j.neuroimage.2011.07.039 10.1016/j.neurobiolaging.2007.12.020 10.1016/j.neuroimage.2010.01.005 10.1016/j.neuroimage.2010.03.059 10.1016/S1053-8119(03)00377-X 10.3389/fninf.2012.00003 10.1016/j.neuroimage.2008.03.028 10.1162/jocn.2007.19.9.1498 10.1111/j.1467-9868.2011.01007.x 10.1016/j.neurobiolaging.2010.05.023 10.1111/j.1399-5618.2012.01019.x 10.1016/j.neuroimage.2008.12.027 |
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| Copyright | 2014 The Authors 2015 INIST-CNRS Copyright © 2014 The Authors. Published by Elsevier Inc. All rights reserved. Copyright Elsevier Limited Aug 15, 2014 2014 The Authors 2014 |
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| Keywords | Single case analysis Lifespan brain aging Bayesian inference Brain morphology Gaussian processes Human Senescence Morphology Central nervous system Encephalon |
| Language | English |
| License | http://creativecommons.org/licenses/by/3.0 CC BY 4.0 Copyright © 2014 The Authors. Published by Elsevier Inc. All rights reserved. This work is licensed under a Creative Commons Attribution 3.0 Unported License. |
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| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 Data used in the preparation of this article were obtained from the Alzheimer's Disease Neuroimaging Initiative (ADNI) database (www.loni.ucla.edu/ADNI). As such, the investigators within the ADNI contributed to the design and implementation of ADNI and/or provided data but did not participate in analysis or writing of this report. Complete listing of ADNI investigators available at http://adni.loni.usc.edu/wp-content/uploads/how_to_apply/ADNI_Acknowledgement_List.pdf. |
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| PublicationDate | 2014-08-15 |
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| References | Crawford, Garthwaite (bb0065) 2012; 48 Mennes, Biswal, Castellanos, Milham (bb0265) 2013; 82 Burton, Barber, Mukaetova-Ladinska, Robson, Perry, Jaros, Kalaria, O'Brien (bb0050) 2008; 132 Fjell, Westlye, Grydeland, Amlien, Espeseth, Reinvang, Raz, Dale, Walhovd, Alzheimer Disease Neuroimaging Initiative (bb0130) 2012 Viviani, Beschoner, Ehrhard, Schmitz, Thöne (bb0420) 2007; 35 Neal (bb0305) 1996 Sehm, Frisch, Thöne-Otto, Horstmann, Villringer, Obrig (bb0405) 2011; 6 Ashburner, Klöppel (bb0025) 2011; 56 McKhann, Knopman, Chertkow, Hyman, Jack, Kawas, Klunk, Koroshetz, Manly, Mayeux, Mohs, Morris, Rossor, Scheltens, Carrillo, Thies, Weintraub, Phelps (bb0250) 2011; 7 Davatzikos, Bhatt, Shaw, Batmanghelich, Trojanowski (bb0085) 2011; 32 McIntosh, Brooks (bb0245) 2011; 47 Gaser, Franke, Klöppel, Koutsouleris, Sauer, the Alzheimer Disease Neuroimaging Initiative (bb0160) 2013; 8 Dukart, Schroeter, Mueller, the Alzheimer Disease Neuroimaging Initiative (bb0110) 2011; 6 Frisoni, Fox, Jack, Scheltens, Thompson (bb0145) 2010; 6 Salmond, de Haan, Friston, Gadian, Vargha-Khadem (bb0385) 2003; 358 Raz, Rodrigue (bb0355) 2006; 30 Fjell, Walhovd, Westlye, Østby, Tamnes, Jernigan, Gamst, Dale (bb0125) 2010; 50 Raz, Ghisletta, Rodrigue, Kennedy, Lindenberger (bb0365) 2010; 51 Ziegler, Dahnke, Winkler, Gaser (bb0480) 2013; 82 Ashburner, Friston (bb0015) 2000; 11 DeCarli, Frisoni, Clark, Harvey (bb0090) 2007; 64 Kennedy, Erickson, Rodrigue, Voss, Colcombe, Kramer, Acker, Raz (bb0200) 2009; 30 Ziegler, Dahnke, Gaser, the Alzheimer Disease Neuroimaging Initiative (bb0470) 2012; 6 Sang, Huang (bb0390) 2012; 74 Kim, Ghahramani (bb0205) 2006; 28 Maguire, Kumaran, Hassabis, Kopelman (bb0230) 2010; 48 Mühlau, Wohlschläger, Gaser, Valet, Weindl, Nunnemann, Peinemann, Etgen, Ilg (bb0295) 2009; 30 Pyka, Hahn, Heider, Krug, Sommer, Kircher, Jansen (bb0320) 2012 Walhovd, Westlye, Amlien, Espeseth, Reinvang, Raz, Agartz, Salat, Greve, Fischl, Dale, Fjell (bb0430) 2011; 32 Korf, Wahlund, Visser, Scheltens (bb0220) 2004; 63 Salimi-Khorshidi, Nichols, Smith, Woolrich (bb0375) 2011; 30 Westman, Muehlboeck, Simmons (bb0450) 2012; 62 Seghier, Ramlackhansingh, Crinion, Leff, Price (bb0400) 2008; 41 Mourao-Miranda, Hardoon, Hahn, Marquand, Williams, Shawe-Taylor, Brammer (bb0280) 2011; 58 Young, Modat, Cardoso, Mendelson, Cash, Ourselin (bb0460) 2013; 2 Hahn, Marquand, Ehlis, Dresler, Kittel-Schneider, Jarczok, Lesch, Jakob, Mourao-Miranda, Brammer, Fallgatter (bb0175) 2011; 68 Franke, Ziegler, Klöppel, Gaser, the Alzheimer Disease Neuroimaging Initiative (bb0140) 2010; 50 Banerjee, Gelfand, Finley, Sang (bb0035) 2008; 70 Misra, Fan, Davatzikos (bb0275) 2009; 44 Penny (bb0315) 2012; 59 Quigley, Colloby, O'Brien (bb0325) 2011; 26 Good, Johnsrude, Ashburner, Henson, Friston, Frackowiak (bb0165) 2001; 14 Brickman, Provenzano, Muraskin, Manly, Blum, Apa, Stern, Brown, Luchsinger, Mayeux (bb0045) 2012; 69 Migliaccio, Agosta, Toba, Samri, Corlier, de Souza, Chupin, Sharman, Gorno-Tempini, Dubois, Filippi, Bartolomeo (bb0270) 2012; 48 Rajapakse, Giedd, Rapoport (bb0340) 1997; 16 Mechelli, Price, Friston, Ashburner (bb0255) 2005; 1 Ashburner (bb0010) 2007; 38 Klöppel, Stonnington, Chu, Draganski, Scahill, Rohrer, Fox, Jack, Ashburner, Frackowiak (bb0210) 2008; 131 Davatzikos, Xu, An, Fan, Resnick (bb0080) 2009; 132 Dukart, Kherif, Mueller, Adaszewski, Schroeter, Frackowiak, Draganski, Alzheimer Disease Neuroimaging Initiative (bb0115) 2013; 9 Rasmussen (bb0345) 1996 Jovicich, Marizzoni, Sala-Llonch, Bosch, Bartrés-Faz, Arnold, Benninghoff, Wiltfang, Roccatagliata, Nobili, Hensch, Tränkner, Schönknecht, Leroy, Lopes, Bordet, Chanoine, Ranjeva, Didic, Gros-Dagnac, Payoux, Zoccatelli, Alessandrini, Beltramello, Bargalló, Blin, Frisoni, PharmaCog Consortium (bb0195) 2013; 83 Mummery, Patterson, Price, Ashburner, Frackowiak, Hodges (bb0300) 2000; 47 Crawford, Howell (bb0070) 1998; 12 Colliot, Bernasconi, Khalili, Antel, Naessens, Bernasconi (bb0060) 2006; 29 Ziegler, Dahnke, Jancke, Yotter, May, Gaser (bb0475) 2012; 33 Adaszewski, Dukart, Kherif, Frackowiak, Draganski (bb0005) 2013 Fjell, Westlye, Grydeland, Amlien, Espeseth, Reinvang, Raz, Holland, Dale, Walhovd, the Alzheimer Disease Neuroimaging Initiative (bb0135) 2013; 34 Scarpazza, Sartori, De Simone, Mechelli (bb0395) 2013; 70 Marquand, Howard, Brammer, Chu, Coen, Mourao-Miranda (bb0240) 2010; 49 Friston, Chu, Mourao-Miranda, Hulme, Rees, Penny, Ashburner (bb0155) 2008; 39 Raz, Lindenberger, Rodrigue, Kennedy, Head, Williamson, Dahle, Gerstorf, Acker (bb0360) 2005; 15 Cuadra, Cammoun, Butz, Cuisenaire, Thiran (bb0075) 2005; 24 Mueller, Weiner, Thal, Petersen, Jack, Jagust, Trojanowski, Toga, Beckett (bb0290) 2005; 1 Klöppel, Abdulkadir, Jack, Koutsouleris, Mourão-Miranda, Vemuri (bb0215) 2012; 61 Marcus, Wang, Parker, Csernansky, Morris, Buckner (bb0235) 2007; 19 Zhu, Carpenter, Rodriguez Gonzalez, Atkinson, Wardlaw (bb0465) 2012; 57 Peelle, Cusack, Henson (bb0310) 2012; 60 Rasmussen, Williams (bb0350) 2006 Risacher, Shen, West, Kim, McDonald, Beckett, Harvey, Jack, Weiner, Saykin, the Alzheimer Disease Neuroimaging Initiative (bb0370) 2010; 31 Ashburner, Friston (bb0020) 2005; 26 Dubois, Feldman, Jacova, Cummings (bb0105) 2010; 9 Woermann, Free, Koepp, Ashburner, Duncan (bb0455) 1999; 10 Wang, Liu, Turkbey, Choyke, Pinto, Summers (bb0435) 2012; 15 Quiñonero-Candela, Rasmussen (bb0330) 2005; 6 Tohka, Zijdenbos, Evans (bb0415) 2004; 23 Baltes, Reuter-Lorenz, Rösler (bb0030) 2006 Groves, Chappell, Woolrich (bb0170) 2009; 45 Hutton, Draganski, Ashburner, Weiskopf (bb0185) 2009; 48 Macke, Gerwinn, White, Kaschube, Bethge (bb0225) 2011; 56 Mehta, Grabowski, Trivedi, Damasio (bb0260) 2003; 20 Westman, Simmons, Zhang, Muehlboeck, Tunnard, Liu, Collins, Evans, Mecocci, Vellas, Tsolaki, Kłoszewska, Soininen, Lovestone, Spenger, Wahlund, AddNeuroMed consortium (bb0445) 2011; 54 Teipel, Grothe, Lista, Toschi, Garaci, Hampel (bb0410) 2013; 97 Mourao-Miranda, Almeida, Hassel, de Oliveira, Versace, Marquand, Sato, Brammer, Phillips (bb0285) 2012; 14 Wahba (bb0425) 1990; vol. 59 Salmond, Ashburner, Vargha-Khadem, Connelly, Gadian, Friston (bb0380) 2002; 17 Wassermann, Bloy, Kanterakis, Verma, Deriche (bb0440) 2010; 51 Fjell, Walhovd (bb0120) 2010; 21 Doyle, Ashburner, Zelaya, Williams, Mehta, Marquand (bb0095) 2013; 81 Friston, Ashburner (bb0150) 2004; 23 Hope, Seghier, Leff, Price (bb0180) 2013; 2 Carmichael, Schwarz, Drucker, Fletcher, Harvey, Beckett, Jack, Weiner, DeCarli, the Alzheimer Disease Neuroimaging Initiative (bb0055) 2010; 67 Box, Cox (bb0040) 1964; 26 Quinonero-Candela, Rasmussen, Williams (bb0335) 2007 Doyle, Tsaneva-Atansaova, Harte, Tiffin, Tino, Díaz-Zuccarini (bb0100) 2013; 60 Jagust (bb0190) 2009 Quiñonero-Candela (10.1016/j.neuroimage.2014.04.018_bb0330) 2005; 6 Mühlau (10.1016/j.neuroimage.2014.04.018_bb0295) 2009; 30 Viviani (10.1016/j.neuroimage.2014.04.018_bb0420) 2007; 35 Ziegler (10.1016/j.neuroimage.2014.04.018_bb0475) 2012; 33 Wang (10.1016/j.neuroimage.2014.04.018_bb0435) 2012; 15 Young (10.1016/j.neuroimage.2014.04.018_bb0460) 2013; 2 Westman (10.1016/j.neuroimage.2014.04.018_bb0445) 2011; 54 Westman (10.1016/j.neuroimage.2014.04.018_bb0450) 2012; 62 Raz (10.1016/j.neuroimage.2014.04.018_bb0360) 2005; 15 Peelle (10.1016/j.neuroimage.2014.04.018_bb0310) 2012; 60 Walhovd (10.1016/j.neuroimage.2014.04.018_bb0430) 2011; 32 Franke (10.1016/j.neuroimage.2014.04.018_bb0140) 2010; 50 Mueller (10.1016/j.neuroimage.2014.04.018_bb0290) 2005; 1 Ashburner (10.1016/j.neuroimage.2014.04.018_bb0015) 2000; 11 Penny (10.1016/j.neuroimage.2014.04.018_bb0315) 2012; 59 Quinonero-Candela (10.1016/j.neuroimage.2014.04.018_bb0335) 2007 Seghier (10.1016/j.neuroimage.2014.04.018_bb0400) 2008; 41 Davatzikos (10.1016/j.neuroimage.2014.04.018_bb0085) 2011; 32 Woermann (10.1016/j.neuroimage.2014.04.018_bb0455) 1999; 10 Salmond (10.1016/j.neuroimage.2014.04.018_bb0385) 2003; 358 Scarpazza (10.1016/j.neuroimage.2014.04.018_bb0395) 2013; 70 DeCarli (10.1016/j.neuroimage.2014.04.018_bb0090) 2007; 64 Raz (10.1016/j.neuroimage.2014.04.018_bb0365) 2010; 51 Burton (10.1016/j.neuroimage.2014.04.018_bb0050) 2008; 132 Misra (10.1016/j.neuroimage.2014.04.018_bb0275) 2009; 44 Klöppel (10.1016/j.neuroimage.2014.04.018_bb0215) 2012; 61 Tohka (10.1016/j.neuroimage.2014.04.018_bb0415) 2004; 23 Colliot (10.1016/j.neuroimage.2014.04.018_bb0060) 2006; 29 Doyle (10.1016/j.neuroimage.2014.04.018_bb0095) 2013; 81 Ashburner (10.1016/j.neuroimage.2014.04.018_bb0025) 2011; 56 Jagust (10.1016/j.neuroimage.2014.04.018_bb0190) 2009 Ashburner (10.1016/j.neuroimage.2014.04.018_bb0010) 2007; 38 Carmichael (10.1016/j.neuroimage.2014.04.018_bb0055) 2010; 67 Box (10.1016/j.neuroimage.2014.04.018_bb0040) 1964; 26 Mummery (10.1016/j.neuroimage.2014.04.018_bb0300) 2000; 47 Wassermann (10.1016/j.neuroimage.2014.04.018_bb0440) 2010; 51 Dukart (10.1016/j.neuroimage.2014.04.018_bb0110) 2011; 6 Mourao-Miranda (10.1016/j.neuroimage.2014.04.018_bb0285) 2012; 14 Pyka (10.1016/j.neuroimage.2014.04.018_bb0320) 2012 Macke (10.1016/j.neuroimage.2014.04.018_bb0225) 2011; 56 Gaser (10.1016/j.neuroimage.2014.04.018_bb0160) 2013; 8 Teipel (10.1016/j.neuroimage.2014.04.018_bb0410) 2013; 97 Dubois (10.1016/j.neuroimage.2014.04.018_bb0105) 2010; 9 Brickman (10.1016/j.neuroimage.2014.04.018_bb0045) 2012; 69 Doyle (10.1016/j.neuroimage.2014.04.018_bb0100) 2013; 60 Hutton (10.1016/j.neuroimage.2014.04.018_bb0185) 2009; 48 McIntosh (10.1016/j.neuroimage.2014.04.018_bb0245) 2011; 47 Ziegler (10.1016/j.neuroimage.2014.04.018_bb0480) 2013; 82 Fjell (10.1016/j.neuroimage.2014.04.018_bb0125) 2010; 50 Migliaccio (10.1016/j.neuroimage.2014.04.018_bb0270) 2012; 48 Wahba (10.1016/j.neuroimage.2014.04.018_bb0425) 1990; vol. 59 Maguire (10.1016/j.neuroimage.2014.04.018_bb0230) 2010; 48 Davatzikos (10.1016/j.neuroimage.2014.04.018_bb0080) 2009; 132 Kennedy (10.1016/j.neuroimage.2014.04.018_bb0200) 2009; 30 Zhu (10.1016/j.neuroimage.2014.04.018_bb0465) 2012; 57 Quigley (10.1016/j.neuroimage.2014.04.018_bb0325) 2011; 26 Adaszewski (10.1016/j.neuroimage.2014.04.018_bb0005) 2013 Banerjee (10.1016/j.neuroimage.2014.04.018_bb0035) 2008; 70 Korf (10.1016/j.neuroimage.2014.04.018_bb0220) 2004; 63 Sang (10.1016/j.neuroimage.2014.04.018_bb0390) 2012; 74 Marquand (10.1016/j.neuroimage.2014.04.018_bb0240) 2010; 49 Groves (10.1016/j.neuroimage.2014.04.018_bb0170) 2009; 45 Cuadra (10.1016/j.neuroimage.2014.04.018_bb0075) 2005; 24 Sehm (10.1016/j.neuroimage.2014.04.018_bb0405) 2011; 6 Klöppel (10.1016/j.neuroimage.2014.04.018_bb0210) 2008; 131 Marcus (10.1016/j.neuroimage.2014.04.018_bb0235) 2007; 19 Salmond (10.1016/j.neuroimage.2014.04.018_bb0380) 2002; 17 Risacher (10.1016/j.neuroimage.2014.04.018_bb0370) 2010; 31 Ashburner (10.1016/j.neuroimage.2014.04.018_bb0020) 2005; 26 Baltes (10.1016/j.neuroimage.2014.04.018_bb0030) 2006 Mehta (10.1016/j.neuroimage.2014.04.018_bb0260) 2003; 20 Friston (10.1016/j.neuroimage.2014.04.018_bb0155) 2008; 39 Frisoni (10.1016/j.neuroimage.2014.04.018_bb0145) 2010; 6 Rasmussen (10.1016/j.neuroimage.2014.04.018_bb0350) 2006 Ziegler (10.1016/j.neuroimage.2014.04.018_bb0470) 2012; 6 Jovicich (10.1016/j.neuroimage.2014.04.018_bb0195) 2013; 83 Dukart (10.1016/j.neuroimage.2014.04.018_bb0115) 2013; 9 Fjell (10.1016/j.neuroimage.2014.04.018_bb0120) 2010; 21 Crawford (10.1016/j.neuroimage.2014.04.018_bb0065) 2012; 48 Friston (10.1016/j.neuroimage.2014.04.018_bb0150) 2004; 23 Mechelli (10.1016/j.neuroimage.2014.04.018_bb0255) 2005; 1 Kim (10.1016/j.neuroimage.2014.04.018_bb0205) 2006; 28 Fjell (10.1016/j.neuroimage.2014.04.018_bb0130) 2012 Good (10.1016/j.neuroimage.2014.04.018_bb0165) 2001; 14 Fjell (10.1016/j.neuroimage.2014.04.018_bb0135) 2013; 34 Hahn (10.1016/j.neuroimage.2014.04.018_bb0175) 2011; 68 Salimi-Khorshidi (10.1016/j.neuroimage.2014.04.018_bb0375) 2011; 30 Mennes (10.1016/j.neuroimage.2014.04.018_bb0265) 2013; 82 Neal (10.1016/j.neuroimage.2014.04.018_bb0305) 1996 Crawford (10.1016/j.neuroimage.2014.04.018_bb0070) 1998; 12 Mourao-Miranda (10.1016/j.neuroimage.2014.04.018_bb0280) 2011; 58 Rajapakse (10.1016/j.neuroimage.2014.04.018_bb0340) 1997; 16 Hope (10.1016/j.neuroimage.2014.04.018_bb0180) 2013; 2 McKhann (10.1016/j.neuroimage.2014.04.018_bb0250) 2011; 7 Rasmussen (10.1016/j.neuroimage.2014.04.018_bb0345) 1996 Raz (10.1016/j.neuroimage.2014.04.018_bb0355) 2006; 30 |
| References_xml | – volume: 17 start-page: 1027 year: 2002 end-page: 1030 ident: bb0380 article-title: Distributional assumptions in voxel-based morphometry publication-title: NeuroImage – volume: 68 start-page: 361 year: 2011 end-page: 368 ident: bb0175 article-title: Integrating neurobiological markers of depression publication-title: Arch. Gen. Psychiatry – volume: 9 start-page: e1002987 year: 2013 ident: bb0115 article-title: Generative FDG-PET and MRI model of aging and disease progression in Alzheimer's disease publication-title: PLoS Comput. Biol. – volume: 30 start-page: 1657 year: 2009 end-page: 1676 ident: bb0200 article-title: Age-related differences in regional brain volumes: a comparison of optimized voxel-based morphometry to manual volumetry publication-title: Neurobiol. Aging – volume: 60 start-page: 1503 year: 2012 end-page: 1516 ident: bb0310 article-title: Adjusting for global effects in voxel-based morphometry: gray matter decline in normal aging publication-title: NeuroImage – volume: 70 start-page: 175 year: 2013 end-page: 188 ident: bb0395 article-title: When the single matters more than the group: very high false positive rates in single case Voxel Based Morphometry publication-title: NeuroImage – volume: 47 start-page: 1151 year: 2011 end-page: 1159 ident: bb0245 article-title: Current tests and trends in single-case neuropsychology publication-title: Cortex – year: 2012 ident: bb0130 article-title: Accelerating cortical thinning: unique to dementia or universal in aging? publication-title: Cereb. Cortex – volume: 62 start-page: 229 year: 2012 end-page: 238 ident: bb0450 article-title: Combining MRI and CSF measures for classification of Alzheimer's disease and prediction of mild cognitive impairment conversion publication-title: NeuroImage – volume: 83 start-page: 472 year: 2013 end-page: 484 ident: bb0195 article-title: Brain morphometry reproducibility in multi-center 3 publication-title: NeuroImage – volume: 30 start-page: 539 year: 2009 end-page: 543 ident: bb0295 article-title: Voxel-based morphometry in individual patients: a pilot study in early Huntington disease publication-title: AJNR Am. J. Neuroradiol. – volume: 31 start-page: 1401 year: 2010 end-page: 1418 ident: bb0370 article-title: Longitudinal MRI atrophy biomarkers: relationship to conversion in the ADNI cohort publication-title: Neurobiol. Aging – volume: 6 start-page: 3 year: 2012 ident: bb0470 article-title: Models of the aging brain structure and individual decline publication-title: Front. Neuroinform. – volume: 10 start-page: 373 year: 1999 end-page: 384 ident: bb0455 article-title: Voxel-by-voxel comparison of automatically segmented cerebral gray matter—a rater-independent comparison of structural MRI in patients with epilepsy publication-title: NeuroImage – year: 1996 ident: bb0345 article-title: Evaluation of Gaussian Processes and Other Methods for Non-linear Regression – volume: 26 start-page: 211 year: 1964 end-page: 252 ident: bb0040 article-title: An analysis of transformations publication-title: J. R. Stat. Soc. Ser. B (Stat Methodol.) – volume: 29 start-page: 162 year: 2006 end-page: 171 ident: bb0060 article-title: Individual voxel-based analysis of gray matter in focal cortical dysplasia publication-title: NeuroImage – volume: 20 start-page: 1438 year: 2003 end-page: 1454 ident: bb0260 article-title: Evaluation of voxel-based morphometry for focal lesion detection in individuals publication-title: NeuroImage – volume: 50 start-page: 1376 year: 2010 end-page: 1383 ident: bb0125 article-title: When does brain aging accelerate? Dangers of quadratic fits in cross-sectional studies publication-title: NeuroImage – volume: 56 start-page: 570 year: 2011 end-page: 581 ident: bb0225 article-title: Gaussian process methods for estimating cortical maps publication-title: NeuroImage – volume: 7 start-page: 7 year: 2011 ident: bb0250 article-title: The diagnosis of dementia due to Alzheimer's disease: recommendations from the National Institute on Aging—Alzheimer's Association workgroups on diagnostic guidelines for Alzheimer's disease publication-title: Alzheimers Dement. – volume: 82 start-page: 683 year: 2013 end-page: 691 ident: bb0265 article-title: Making data sharing work: the FCP/INDI experience publication-title: NeuroImage – volume: 81 start-page: 347 year: 2013 end-page: 357 ident: bb0095 article-title: Multivariate decoding of brain images using ordinal regression publication-title: NeuroImage – volume: 16 start-page: 176 year: 1997 end-page: 186 ident: bb0340 article-title: Statistical approach to segmentation of single-channel cerebral MR images publication-title: IEEE Trans. Med. Imaging – volume: 6 start-page: 67 year: 2010 end-page: 77 ident: bb0145 article-title: The clinical use of structural MRI in Alzheimer disease publication-title: Nat. Rev. Neurol. – volume: 63 start-page: 94 year: 2004 end-page: 100 ident: bb0220 article-title: Medial temporal lobe atrophy on MRI predicts dementia in patients with mild cognitive impairment publication-title: Neurology – volume: 82 start-page: 284 year: 2013 end-page: 294 ident: bb0480 article-title: Partial least squares correlation of multivariate cognitive abilities and local brain structure in children and adolescents publication-title: NeuroImage – volume: 41 start-page: 1253 year: 2008 end-page: 1266 ident: bb0400 article-title: Lesion identification using unified segmentation–normalisation models and fuzzy clustering publication-title: NeuroImage – volume: 30 start-page: 730 year: 2006 end-page: 748 ident: bb0355 article-title: Differential aging of the brain: patterns, cognitive correlates and modifiers publication-title: Neurosci. Biobehav. Rev. – volume: 69 start-page: 1621 year: 2012 end-page: 1627 ident: bb0045 article-title: Regional white matter hyperintensity volume, not hippocampal atrophy, predicts incident Alzheimer disease in the community publication-title: Arch. Neurol. – year: 2013 ident: bb0005 article-title: How early can we predict Alzheimer's disease using computational anatomy? publication-title: Neurobiol. Aging – year: 1996 ident: bb0305 article-title: Bayesian Learning for Neural Network – volume: 26 start-page: 991 year: 2011 end-page: 999 ident: bb0325 article-title: PET imaging of brain amyloid in dementia: a review publication-title: Int. J. Geriatr. Psychiatry – volume: 32 start-page: 916 year: 2011 end-page: 932 ident: bb0430 article-title: Consistent neuroanatomical age-related volume differences across multiple samples publication-title: Neurobiol. Aging – volume: 39 start-page: 181 year: 2008 end-page: 205 ident: bb0155 article-title: Bayesian decoding of brain images publication-title: NeuroImage – volume: 23 start-page: 84 year: 2004 end-page: 97 ident: bb0415 article-title: Fast and robust parameter estimation for statistical partial volume models in brain MRI publication-title: NeuroImage – volume: 61 start-page: 457 year: 2012 end-page: 463 ident: bb0215 article-title: Diagnostic neuroimaging across diseases publication-title: NeuroImage – volume: 2 start-page: 735 year: 2013 end-page: 745 ident: bb0460 article-title: Accurate multimodal probabilistic prediction of conversion to Alzheimer's disease in patients with mild cognitive impairment publication-title: NeuroImage Clin. – volume: 24 start-page: 1548 year: 2005 end-page: 1565 ident: bb0075 article-title: Comparison and validation of tissue modelization and statistical classification methods in T1-weighted MR brain images publication-title: IEEE Trans. Med. Imaging – year: 2006 ident: bb0030 article-title: Lifespan Development and the Brain. The Perspective of Biocultural Co-constructivism – volume: 38 start-page: 95 year: 2007 end-page: 113 ident: bb0010 article-title: A fast diffeomorphic image registration algorithm publication-title: NeuroImage – volume: 60 start-page: 735 year: 2013 end-page: 742 ident: bb0100 article-title: Bridging paradigms: hybrid mechanistic–discriminative predictive models publication-title: IEEE Trans. Biomed. Eng. – volume: 358 start-page: 405 year: 2003 end-page: 413 ident: bb0385 article-title: Investigating individual differences in brain abnormalities in autism publication-title: Philos. Trans. R. Soc. Lond. Ser. B Biol. Sci. – volume: 1 start-page: 1 year: 2005 end-page: 9 ident: bb0255 article-title: Voxel-based morphometry of the human brain: methods and applications publication-title: Curr. Med. Imaging Rev. – volume: 64 start-page: 108 year: 2007 end-page: 115 ident: bb0090 article-title: JAMA Network | JAMA Neurology | Qualitative estimates of medial temporal atrophy as a predictor of progression from mild cognitive impairment to dementia publication-title: Arch. Neurol. – volume: 6 start-page: 1939 year: 2005 end-page: 1959 ident: bb0330 article-title: A unifying view of sparse approximate Gaussian process regression publication-title: J. Mach. Learn. Res. – volume: 47 start-page: 36 year: 2000 end-page: 45 ident: bb0300 article-title: A voxel-based morphometry study of semantic dementia: relationship between temporal lobe atrophy and semantic memory publication-title: Ann. Neurol. – volume: 48 start-page: 123 year: 2010 end-page: 136 ident: bb0230 article-title: Autobiographical memory in semantic dementia: a longitudinal fMRI study publication-title: Neuropsychologia – volume: 9 start-page: 1118 year: 2010 end-page: 1127 ident: bb0105 article-title: Revising the definition of Alzheimer's disease: a new lexicon publication-title: Lancet Neurol. – volume: 11 start-page: 805 year: 2000 end-page: 821 ident: bb0015 article-title: Voxel-based morphometry—the methods publication-title: NeuroImage – volume: 131 start-page: 681 year: 2008 end-page: 689 ident: bb0210 article-title: Automatic classification of MR scans in Alzheimer's disease publication-title: Brain – volume: 97 start-page: 399 year: 2013 end-page: 424 ident: bb0410 article-title: Relevance of magnetic resonance imaging for early detection and diagnosis of Alzheimer disease publication-title: Med. Clin. North Am. – year: 2012 ident: bb0320 article-title: Baseline Activity Predicts Working Memory Load of Preceding Task Condition – volume: 15 start-page: 582 year: 2012 end-page: 589 ident: bb0435 article-title: Gaussian process inference for estimating pharmacokinetic parameters of dynamic contrast-enhanced MR images publication-title: Med. Image Comput. Comput. Assist. Interv. – volume: 54 start-page: 1178 year: 2011 end-page: 1187 ident: bb0445 article-title: Multivariate analysis of MRI data for Alzheimer's disease, mild cognitive impairment and healthy controls publication-title: NeuroImage – volume: 74 start-page: 111 year: 2012 end-page: 132 ident: bb0390 article-title: A full scale approximation of covariance functions for large spatial data sets publication-title: J. R. Stat. Soc. Ser. B (Stat Methodol.) – volume: 49 start-page: 2178 year: 2010 end-page: 2189 ident: bb0240 article-title: Quantitative prediction of subjective pain intensity from whole-brain fMRI data using Gaussian processes publication-title: NeuroImage – 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: 51 start-page: 228 year: 2010 end-page: 241 ident: bb0440 article-title: Unsupervised white matter fiber clustering and tract probability map generation: applications of a Gaussian process framework for white matter fibers publication-title: NeuroImage – volume: 14 start-page: 21 year: 2001 end-page: 36 ident: bb0165 article-title: A voxel-based morphometric study of ageing in 465 normal adult human brains publication-title: NeuroImage – volume: 34 start-page: 2239 year: 2013 end-page: 2247 ident: bb0135 article-title: Critical ages in the life course of the adult brain: nonlinear subcortical aging publication-title: Neurobiol. Aging – volume: 21 start-page: 187 year: 2010 end-page: 221 ident: bb0120 article-title: Structural brain changes in aging: courses, causes and cognitive consequences publication-title: Rev. Neurosci. – volume: vol. 59 year: 1990 ident: bb0425 article-title: Spline models for observational data publication-title: CBMS-NSF Regional Conference Series in Applied Mathematics – volume: 67 start-page: 1370 year: 2010 end-page: 1378 ident: bb0055 article-title: Longitudinal changes in white matter disease and cognition in the first year of the Alzheimer disease neuroimaging initiative publication-title: Arch. Neurol. – volume: 48 start-page: 1298 year: 2012 end-page: 1309 ident: bb0270 article-title: Brain networks in posterior cortical atrophy: a single case tractography study and literature review publication-title: Cortex – volume: 33 start-page: 2377 year: 2012 end-page: 2389 ident: bb0475 article-title: Brain structural trajectories over the adult lifespan publication-title: Hum. Brain Mapp. – volume: 56 start-page: 422 year: 2011 end-page: 439 ident: bb0025 article-title: Multivariate models of inter-subject anatomical variability publication-title: NeuroImage – volume: 6 start-page: e22193 year: 2011 ident: bb0110 article-title: Age correction in dementia — matching to a healthy brain publication-title: PLoS One – volume: 6 start-page: e26538 year: 2011 ident: bb0405 article-title: Focal retrograde amnesia: Voxel-based morphometry findings in a case without MRI lesions publication-title: PLoS One – volume: 15 start-page: 1676 year: 2005 end-page: 1689 ident: bb0360 article-title: Regional brain changes in aging healthy adults: general trends, individual differences and modifiers publication-title: Cereb. Cortex – volume: 26 start-page: 839 year: 2005 end-page: 851 ident: bb0020 article-title: Unified segmentation publication-title: NeuroImage – volume: 14 start-page: 451 year: 2012 end-page: 460 ident: bb0285 article-title: Pattern recognition analyses of brain activation elicited by happy and neutral faces in unipolar and bipolar depression publication-title: Bipolar Disord. – volume: 32 start-page: 2322 year: 2011 ident: bb0085 article-title: Prediction of MCI to AD conversion, via MRI, CSF biomarkers, and pattern classification publication-title: Neurobiol. Aging – volume: 45 start-page: 795 year: 2009 end-page: 809 ident: bb0170 article-title: Combined spatial and non-spatial prior for inference on MRI time-series publication-title: NeuroImage – volume: 44 start-page: 1415 year: 2009 end-page: 1422 ident: bb0275 article-title: Baseline and longitudinal patterns of brain atrophy in MCI patients, and their use in prediction of short-term conversion to AD: results from ADNI publication-title: NeuroImage – volume: 30 start-page: 1401 year: 2011 end-page: 1416 ident: bb0375 article-title: Using Gaussian-process regression for meta-analytic neuroimaging inference based on sparse observations publication-title: IEEE Trans. Med. Imaging – volume: 2 start-page: 424 year: 2013 end-page: 433 ident: bb0180 article-title: Predicting outcome and recovery after stroke with lesions extracted from MRI images publication-title: NeuroImage Clin. – year: 2009 ident: bb0190 article-title: Imaging the Aging Brain – volume: 19 start-page: 1498 year: 2007 end-page: 1507 ident: bb0235 article-title: Open Access Series of Imaging Studies (OASIS): cross-sectional MRI data in young, middle aged, nondemented, and demented older adults publication-title: J. Cogn. Neurosci. – year: 2007 ident: bb0335 article-title: Approximation methods for Gaussian process regression publication-title: Technical Report MSR-TR-2007-124 – volume: 132 start-page: 2026 year: 2009 end-page: 2035 ident: bb0080 article-title: Longitudinal progression of Alzheimer's-like patterns of atrophy in normal older adults: the SPARE-AD index publication-title: Brain – volume: 57 start-page: N183 year: 2012 end-page: N198 ident: bb0465 article-title: Computed tomography perfusion imaging denoising using Gaussian process regression publication-title: Phys. Med. Biol. – volume: 50 start-page: 883 year: 2010 end-page: 892 ident: bb0140 article-title: Estimating the age of healthy subjects from T1-weighted MRI scans using kernel methods: exploring the influence of various parameters publication-title: NeuroImage – volume: 58 start-page: 793 year: 2011 end-page: 804 ident: bb0280 article-title: Patient classification as an outlier detection problem: an application of the one-class support vector machine publication-title: NeuroImage – volume: 48 start-page: 1009 year: 2012 end-page: 1016 ident: bb0065 article-title: Single-case research in neuropsychology: a comparison of five forms of t-test for comparing a case to controls publication-title: Cortex – volume: 48 start-page: 371 year: 2009 end-page: 380 ident: bb0185 article-title: A comparison between voxel-based cortical thickness and voxel-based morphometry in normal aging publication-title: NeuroImage – volume: 51 start-page: 501 year: 2010 end-page: 511 ident: bb0365 article-title: Trajectories of brain aging in middle-aged and older adults: regional and individual differences publication-title: NeuroImage – volume: 8 start-page: e67346 year: 2013 ident: bb0160 article-title: BrainAGE in mild cognitive impaired patients: predicting the conversion to Alzheimer's disease publication-title: PLoS One – volume: 12 start-page: 482 year: 1998 end-page: 486 ident: bb0070 article-title: Comparing an individual's test score against norms derived from small samples publication-title: Clin. Neuropsychol. – volume: 132 start-page: 195 year: 2008 end-page: 203 ident: bb0050 article-title: Medial temporal lobe atrophy on MRI differentiates Alzheimer's disease from dementia with Lewy bodies and vascular cognitive impairment: a prospective study with pathological verification of diagnosis publication-title: Brain – volume: 35 start-page: 121 year: 2007 end-page: 130 ident: bb0420 article-title: Non-normality and transformations of random fields, with an application to voxel-based morphometry publication-title: NeuroImage – year: 2006 ident: bb0350 article-title: Gaussian Processes for Machine Learning – volume: 28 start-page: 1948 year: 2006 end-page: 1959 ident: bb0205 article-title: Bayesian Gaussian process classification with the EM-EP algorithm publication-title: IEEE Trans. Pattern Anal. Mach. Intell. – volume: 70 start-page: 825 year: 2008 end-page: 848 ident: bb0035 article-title: Gaussian predictive process models for large spatial data sets publication-title: J. R. Stat. Soc. Ser. B (Stat Methodol.) – volume: 23 start-page: 21 year: 2004 end-page: 24 ident: bb0150 article-title: Generative and recognition models for neuroanatomy publication-title: NeuroImage – volume: 59 start-page: 319 year: 2012 end-page: 330 ident: bb0315 article-title: Comparing dynamic causal models using AIC, BIC and free energy publication-title: NeuroImage – year: 2007 ident: 10.1016/j.neuroimage.2014.04.018_bb0335 article-title: Approximation methods for Gaussian process regression – volume: 9 start-page: e1002987 issue: 4 year: 2013 ident: 10.1016/j.neuroimage.2014.04.018_bb0115 article-title: Generative FDG-PET and MRI model of aging and disease progression in Alzheimer's disease publication-title: PLoS Comput. Biol. doi: 10.1371/journal.pcbi.1002987 – volume: 44 start-page: 1415 issue: 4 year: 2009 ident: 10.1016/j.neuroimage.2014.04.018_bb0275 article-title: Baseline and longitudinal patterns of brain atrophy in MCI patients, and their use in prediction of short-term conversion to AD: results from ADNI publication-title: NeuroImage doi: 10.1016/j.neuroimage.2008.10.031 – volume: 97 start-page: 399 issue: 3 year: 2013 ident: 10.1016/j.neuroimage.2014.04.018_bb0410 article-title: Relevance of magnetic resonance imaging for early detection and diagnosis of Alzheimer disease publication-title: Med. Clin. North Am. doi: 10.1016/j.mcna.2012.12.013 – volume: 132 start-page: 195 issue: 1 year: 2008 ident: 10.1016/j.neuroimage.2014.04.018_bb0050 article-title: Medial temporal lobe atrophy on MRI differentiates Alzheimer's disease from dementia with Lewy bodies and vascular cognitive impairment: a prospective study with pathological verification of diagnosis publication-title: Brain doi: 10.1093/brain/awn298 – volume: 38 start-page: 95 issue: 1 year: 2007 ident: 10.1016/j.neuroimage.2014.04.018_bb0010 article-title: A fast diffeomorphic image registration algorithm publication-title: NeuroImage doi: 10.1016/j.neuroimage.2007.07.007 – volume: 2 start-page: 424 year: 2013 ident: 10.1016/j.neuroimage.2014.04.018_bb0180 article-title: Predicting outcome and recovery after stroke with lesions extracted from MRI images publication-title: NeuroImage Clin. doi: 10.1016/j.nicl.2013.03.005 – volume: 81 start-page: 347 issue: 1 year: 2013 ident: 10.1016/j.neuroimage.2014.04.018_bb0095 article-title: Multivariate decoding of brain images using ordinal regression publication-title: NeuroImage doi: 10.1016/j.neuroimage.2013.05.036 – volume: 82 start-page: 683 year: 2013 ident: 10.1016/j.neuroimage.2014.04.018_bb0265 article-title: Making data sharing work: the FCP/INDI experience publication-title: NeuroImage doi: 10.1016/j.neuroimage.2012.10.064 – volume: 9 start-page: 1118 issue: 11 year: 2010 ident: 10.1016/j.neuroimage.2014.04.018_bb0105 article-title: Revising the definition of Alzheimer's disease: a new lexicon publication-title: Lancet Neurol. doi: 10.1016/S1474-4422(10)70223-4 – volume: 6 start-page: e22193 issue: 7 year: 2011 ident: 10.1016/j.neuroimage.2014.04.018_bb0110 article-title: Age correction in dementia — matching to a healthy brain publication-title: PLoS One doi: 10.1371/journal.pone.0022193 – volume: 30 start-page: 539 issue: 3 year: 2009 ident: 10.1016/j.neuroimage.2014.04.018_bb0295 article-title: Voxel-based morphometry in individual patients: a pilot study in early Huntington disease publication-title: AJNR Am. J. Neuroradiol. doi: 10.3174/ajnr.A1390 – volume: 51 start-page: 501 issue: 2 year: 2010 ident: 10.1016/j.neuroimage.2014.04.018_bb0365 article-title: Trajectories of brain aging in middle-aged and older adults: regional and individual differences publication-title: NeuroImage doi: 10.1016/j.neuroimage.2010.03.020 – volume: 26 start-page: 211 issue: 2 year: 1964 ident: 10.1016/j.neuroimage.2014.04.018_bb0040 article-title: An analysis of transformations publication-title: J. R. Stat. Soc. Ser. B (Stat Methodol.) doi: 10.1111/j.2517-6161.1964.tb00553.x – volume: 21 start-page: 187 issue: 3 year: 2010 ident: 10.1016/j.neuroimage.2014.04.018_bb0120 article-title: Structural brain changes in aging: courses, causes and cognitive consequences publication-title: Rev. Neurosci. doi: 10.1515/REVNEURO.2010.21.3.187 – volume: 39 start-page: 181 issue: 1 year: 2008 ident: 10.1016/j.neuroimage.2014.04.018_bb0155 article-title: Bayesian decoding of brain images publication-title: NeuroImage doi: 10.1016/j.neuroimage.2007.08.013 – year: 2012 ident: 10.1016/j.neuroimage.2014.04.018_bb0320 – volume: 23 start-page: 21 issue: 1 year: 2004 ident: 10.1016/j.neuroimage.2014.04.018_bb0150 article-title: Generative and recognition models for neuroanatomy publication-title: NeuroImage doi: 10.1016/j.neuroimage.2004.04.021 – volume: 70 start-page: 175 year: 2013 ident: 10.1016/j.neuroimage.2014.04.018_bb0395 article-title: When the single matters more than the group: very high false positive rates in single case Voxel Based Morphometry publication-title: NeuroImage doi: 10.1016/j.neuroimage.2012.12.045 – year: 2013 ident: 10.1016/j.neuroimage.2014.04.018_bb0005 article-title: How early can we predict Alzheimer's disease using computational anatomy? publication-title: Neurobiol. Aging doi: 10.1016/j.neurobiolaging.2013.06.015 – year: 1996 ident: 10.1016/j.neuroimage.2014.04.018_bb0305 – volume: 28 start-page: 1948 issue: 12 year: 2006 ident: 10.1016/j.neuroimage.2014.04.018_bb0205 article-title: Bayesian Gaussian process classification with the EM-EP algorithm publication-title: IEEE Trans. Pattern Anal. Mach. Intell. doi: 10.1109/TPAMI.2006.238 – volume: 17 start-page: 1027 issue: 2 year: 2002 ident: 10.1016/j.neuroimage.2014.04.018_bb0380 article-title: Distributional assumptions in voxel-based morphometry publication-title: NeuroImage doi: 10.1006/nimg.2002.1153 – volume: 57 start-page: N183 issue: 12 year: 2012 ident: 10.1016/j.neuroimage.2014.04.018_bb0465 article-title: Computed tomography perfusion imaging denoising using Gaussian process regression publication-title: Phys. Med. Biol. doi: 10.1088/0031-9155/57/12/N183 – volume: 70 start-page: 825 issue: 4 year: 2008 ident: 10.1016/j.neuroimage.2014.04.018_bb0035 article-title: Gaussian predictive process models for large spatial data sets publication-title: J. R. Stat. Soc. Ser. B (Stat Methodol.) doi: 10.1111/j.1467-9868.2008.00663.x – volume: 48 start-page: 123 issue: 1 year: 2010 ident: 10.1016/j.neuroimage.2014.04.018_bb0230 article-title: Autobiographical memory in semantic dementia: a longitudinal fMRI study publication-title: Neuropsychologia doi: 10.1016/j.neuropsychologia.2009.08.020 – volume: 6 start-page: 67 issue: 2 year: 2010 ident: 10.1016/j.neuroimage.2014.04.018_bb0145 article-title: The clinical use of structural MRI in Alzheimer disease publication-title: Nat. Rev. Neurol. doi: 10.1038/nrneurol.2009.215 – volume: 48 start-page: 1298 issue: 10 year: 2012 ident: 10.1016/j.neuroimage.2014.04.018_bb0270 article-title: Brain networks in posterior cortical atrophy: a single case tractography study and literature review publication-title: Cortex doi: 10.1016/j.cortex.2011.10.002 – volume: 83 start-page: 472 year: 2013 ident: 10.1016/j.neuroimage.2014.04.018_bb0195 article-title: Brain morphometry reproducibility in multi-center 3T MRI studies: a comparison of cross-sectional and longitudinal segmentations publication-title: NeuroImage doi: 10.1016/j.neuroimage.2013.05.007 – volume: 26 start-page: 839 issue: 3 year: 2005 ident: 10.1016/j.neuroimage.2014.04.018_bb0020 article-title: Unified segmentation publication-title: NeuroImage doi: 10.1016/j.neuroimage.2005.02.018 – year: 2012 ident: 10.1016/j.neuroimage.2014.04.018_bb0130 article-title: Accelerating cortical thinning: unique to dementia or universal in aging? publication-title: Cereb. Cortex – volume: 14 start-page: 21 issue: 1 Pt 1 year: 2001 ident: 10.1016/j.neuroimage.2014.04.018_bb0165 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: 48 start-page: 371 issue: 2 year: 2009 ident: 10.1016/j.neuroimage.2014.04.018_bb0185 article-title: A comparison between voxel-based cortical thickness and voxel-based morphometry in normal aging publication-title: NeuroImage doi: 10.1016/j.neuroimage.2009.06.043 – volume: 12 start-page: 482 issue: 4 year: 1998 ident: 10.1016/j.neuroimage.2014.04.018_bb0070 article-title: Comparing an individual's test score against norms derived from small samples publication-title: Clin. Neuropsychol. doi: 10.1076/clin.12.4.482.7241 – volume: 6 start-page: e26538 issue: 10 year: 2011 ident: 10.1016/j.neuroimage.2014.04.018_bb0405 article-title: Focal retrograde amnesia: Voxel-based morphometry findings in a case without MRI lesions publication-title: PLoS One doi: 10.1371/journal.pone.0026538 – volume: 30 start-page: 1401 issue: 7 year: 2011 ident: 10.1016/j.neuroimage.2014.04.018_bb0375 article-title: Using Gaussian-process regression for meta-analytic neuroimaging inference based on sparse observations publication-title: IEEE Trans. Med. Imaging doi: 10.1109/TMI.2011.2122341 – volume: 60 start-page: 735 issue: 3 year: 2013 ident: 10.1016/j.neuroimage.2014.04.018_bb0100 article-title: Bridging paradigms: hybrid mechanistic–discriminative predictive models publication-title: IEEE Trans. Biomed. Eng. doi: 10.1109/TBME.2013.2244598 – volume: 8 start-page: e67346 issue: 6 year: 2013 ident: 10.1016/j.neuroimage.2014.04.018_bb0160 article-title: BrainAGE in mild cognitive impaired patients: predicting the conversion to Alzheimer's disease publication-title: PLoS One doi: 10.1371/journal.pone.0067346 – volume: 47 start-page: 36 issue: 1 year: 2000 ident: 10.1016/j.neuroimage.2014.04.018_bb0300 article-title: A voxel-based morphometry study of semantic dementia: relationship between temporal lobe atrophy and semantic memory publication-title: Ann. Neurol. doi: 10.1002/1531-8249(200001)47:1<36::AID-ANA8>3.0.CO;2-L – volume: 48 start-page: 1009 issue: 8 year: 2012 ident: 10.1016/j.neuroimage.2014.04.018_bb0065 article-title: Single-case research in neuropsychology: a comparison of five forms of t-test for comparing a case to controls publication-title: Cortex doi: 10.1016/j.cortex.2011.06.021 – volume: 50 start-page: 1376 issue: 4 year: 2010 ident: 10.1016/j.neuroimage.2014.04.018_bb0125 article-title: When does brain aging accelerate? Dangers of quadratic fits in cross-sectional studies publication-title: NeuroImage doi: 10.1016/j.neuroimage.2010.01.061 – volume: 16 start-page: 176 issue: 2 year: 1997 ident: 10.1016/j.neuroimage.2014.04.018_bb0340 article-title: Statistical approach to segmentation of single-channel cerebral MR images publication-title: IEEE Trans. Med. Imaging doi: 10.1109/42.563663 – volume: 51 start-page: 228 issue: 1 year: 2010 ident: 10.1016/j.neuroimage.2014.04.018_bb0440 article-title: Unsupervised white matter fiber clustering and tract probability map generation: applications of a Gaussian process framework for white matter fibers publication-title: NeuroImage doi: 10.1016/j.neuroimage.2010.01.004 – volume: 64 start-page: 108 issue: 1 year: 2007 ident: 10.1016/j.neuroimage.2014.04.018_bb0090 article-title: JAMA Network | JAMA Neurology | Qualitative estimates of medial temporal atrophy as a predictor of progression from mild cognitive impairment to dementia publication-title: Arch. Neurol. doi: 10.1001/archneur.64.1.108 – volume: 61 start-page: 457 issue: 2 year: 2012 ident: 10.1016/j.neuroimage.2014.04.018_bb0215 article-title: Diagnostic neuroimaging across diseases publication-title: NeuroImage doi: 10.1016/j.neuroimage.2011.11.002 – volume: 358 start-page: 405 issue: 1430 year: 2003 ident: 10.1016/j.neuroimage.2014.04.018_bb0385 article-title: Investigating individual differences in brain abnormalities in autism publication-title: Philos. Trans. R. Soc. Lond. Ser. B Biol. Sci. doi: 10.1098/rstb.2002.1210 – volume: 32 start-page: 916 year: 2011 ident: 10.1016/j.neuroimage.2014.04.018_bb0430 article-title: Consistent neuroanatomical age-related volume differences across multiple samples publication-title: Neurobiol. Aging doi: 10.1016/j.neurobiolaging.2009.05.013 – volume: 1 start-page: 55 issue: 1 year: 2005 ident: 10.1016/j.neuroimage.2014.04.018_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: 31 start-page: 1401 issue: 8 year: 2010 ident: 10.1016/j.neuroimage.2014.04.018_bb0370 article-title: Longitudinal MRI atrophy biomarkers: relationship to conversion in the ADNI cohort publication-title: Neurobiol. Aging doi: 10.1016/j.neurobiolaging.2010.04.029 – volume: 33 start-page: 2377 year: 2012 ident: 10.1016/j.neuroimage.2014.04.018_bb0475 article-title: Brain structural trajectories over the adult lifespan publication-title: Hum. Brain Mapp. doi: 10.1002/hbm.21374 – volume: vol. 59 year: 1990 ident: 10.1016/j.neuroimage.2014.04.018_bb0425 article-title: Spline models for observational data – year: 2009 ident: 10.1016/j.neuroimage.2014.04.018_bb0190 – volume: 11 start-page: 805 issue: 6 Pt 1 year: 2000 ident: 10.1016/j.neuroimage.2014.04.018_bb0015 article-title: Voxel-based morphometry—the methods publication-title: NeuroImage doi: 10.1006/nimg.2000.0582 – volume: 30 start-page: 730 issue: 6 year: 2006 ident: 10.1016/j.neuroimage.2014.04.018_bb0355 article-title: Differential aging of the brain: patterns, cognitive correlates and modifiers publication-title: Neurosci. Biobehav. Rev. doi: 10.1016/j.neubiorev.2006.07.001 – volume: 67 start-page: 1370 issue: 11 year: 2010 ident: 10.1016/j.neuroimage.2014.04.018_bb0055 article-title: Longitudinal changes in white matter disease and cognition in the first year of the Alzheimer disease neuroimaging initiative publication-title: Arch. Neurol. doi: 10.1001/archneurol.2010.284 – year: 2006 ident: 10.1016/j.neuroimage.2014.04.018_bb0030 – volume: 2 start-page: 735 year: 2013 ident: 10.1016/j.neuroimage.2014.04.018_bb0460 article-title: Accurate multimodal probabilistic prediction of conversion to Alzheimer's disease in patients with mild cognitive impairment publication-title: NeuroImage Clin. doi: 10.1016/j.nicl.2013.05.004 – volume: 24 start-page: 1548 issue: 12 year: 2005 ident: 10.1016/j.neuroimage.2014.04.018_bb0075 article-title: Comparison and validation of tissue modelization and statistical classification methods in T1-weighted MR brain images publication-title: IEEE Trans. Med. Imaging doi: 10.1109/TMI.2005.857652 – volume: 63 start-page: 94 issue: 1 year: 2004 ident: 10.1016/j.neuroimage.2014.04.018_bb0220 article-title: Medial temporal lobe atrophy on MRI predicts dementia in patients with mild cognitive impairment publication-title: Neurology doi: 10.1212/01.WNL.0000133114.92694.93 – volume: 60 start-page: 1503 issue: 2 year: 2012 ident: 10.1016/j.neuroimage.2014.04.018_bb0310 article-title: Adjusting for global effects in voxel-based morphometry: gray matter decline in normal aging publication-title: NeuroImage doi: 10.1016/j.neuroimage.2011.12.086 – volume: 35 start-page: 121 issue: 1 year: 2007 ident: 10.1016/j.neuroimage.2014.04.018_bb0420 article-title: Non-normality and transformations of random fields, with an application to voxel-based morphometry publication-title: NeuroImage doi: 10.1016/j.neuroimage.2006.11.037 – volume: 82 start-page: 284 year: 2013 ident: 10.1016/j.neuroimage.2014.04.018_bb0480 article-title: Partial least squares correlation of multivariate cognitive abilities and local brain structure in children and adolescents publication-title: NeuroImage doi: 10.1016/j.neuroimage.2013.05.088 – year: 2006 ident: 10.1016/j.neuroimage.2014.04.018_bb0350 – volume: 26 start-page: 991 issue: 10 year: 2011 ident: 10.1016/j.neuroimage.2014.04.018_bb0325 article-title: PET imaging of brain amyloid in dementia: a review publication-title: Int. J. Geriatr. Psychiatry doi: 10.1002/gps.2640 – volume: 69 start-page: 1621 issue: 12 year: 2012 ident: 10.1016/j.neuroimage.2014.04.018_bb0045 article-title: Regional white matter hyperintensity volume, not hippocampal atrophy, predicts incident Alzheimer disease in the community publication-title: Arch. Neurol. doi: 10.1001/archneurol.2012.1527 – volume: 29 start-page: 162 issue: 1 year: 2006 ident: 10.1016/j.neuroimage.2014.04.018_bb0060 article-title: Individual voxel-based analysis of gray matter in focal cortical dysplasia publication-title: NeuroImage doi: 10.1016/j.neuroimage.2005.07.021 – volume: 132 start-page: 2026 issue: Pt 8 year: 2009 ident: 10.1016/j.neuroimage.2014.04.018_bb0080 article-title: Longitudinal progression of Alzheimer's-like patterns of atrophy in normal older adults: the SPARE-AD index publication-title: Brain doi: 10.1093/brain/awp091 – volume: 7 start-page: 7 issue: 3 year: 2011 ident: 10.1016/j.neuroimage.2014.04.018_bb0250 article-title: The diagnosis of dementia due to Alzheimer's disease: recommendations from the National Institute on Aging—Alzheimer's Association workgroups on diagnostic guidelines for Alzheimer's disease publication-title: Alzheimers Dement. doi: 10.1016/j.jalz.2011.03.005 – volume: 15 start-page: 1676 issue: 11 year: 2005 ident: 10.1016/j.neuroimage.2014.04.018_bb0360 article-title: Regional brain changes in aging healthy adults: general trends, individual differences and modifiers publication-title: Cereb. Cortex doi: 10.1093/cercor/bhi044 – year: 1996 ident: 10.1016/j.neuroimage.2014.04.018_bb0345 – volume: 10 start-page: 373 issue: 4 year: 1999 ident: 10.1016/j.neuroimage.2014.04.018_bb0455 article-title: Voxel-by-voxel comparison of automatically segmented cerebral gray matter—a rater-independent comparison of structural MRI in patients with epilepsy publication-title: NeuroImage doi: 10.1006/nimg.1999.0481 – volume: 47 start-page: 1151 issue: 10 year: 2011 ident: 10.1016/j.neuroimage.2014.04.018_bb0245 article-title: Current tests and trends in single-case neuropsychology publication-title: Cortex doi: 10.1016/j.cortex.2011.08.005 – volume: 54 start-page: 1178 issue: 2 year: 2011 ident: 10.1016/j.neuroimage.2014.04.018_bb0445 article-title: Multivariate analysis of MRI data for Alzheimer's disease, mild cognitive impairment and healthy controls publication-title: NeuroImage doi: 10.1016/j.neuroimage.2010.08.044 – volume: 68 start-page: 361 issue: 4 year: 2011 ident: 10.1016/j.neuroimage.2014.04.018_bb0175 article-title: Integrating neurobiological markers of depression publication-title: Arch. Gen. Psychiatry doi: 10.1001/archgenpsychiatry.2010.178 – volume: 62 start-page: 229 issue: 1 year: 2012 ident: 10.1016/j.neuroimage.2014.04.018_bb0450 article-title: Combining MRI and CSF measures for classification of Alzheimer's disease and prediction of mild cognitive impairment conversion publication-title: NeuroImage doi: 10.1016/j.neuroimage.2012.04.056 – volume: 23 start-page: 84 issue: 1 year: 2004 ident: 10.1016/j.neuroimage.2014.04.018_bb0415 article-title: Fast and robust parameter estimation for statistical partial volume models in brain MRI publication-title: NeuroImage doi: 10.1016/j.neuroimage.2004.05.007 – volume: 49 start-page: 2178 issue: 3 year: 2010 ident: 10.1016/j.neuroimage.2014.04.018_bb0240 article-title: Quantitative prediction of subjective pain intensity from whole-brain fMRI data using Gaussian processes publication-title: NeuroImage doi: 10.1016/j.neuroimage.2009.10.072 – volume: 58 start-page: 793 issue: 3 year: 2011 ident: 10.1016/j.neuroimage.2014.04.018_bb0280 article-title: Patient classification as an outlier detection problem: an application of the one-class support vector machine publication-title: NeuroImage doi: 10.1016/j.neuroimage.2011.06.042 – volume: 56 start-page: 570 issue: 2 year: 2011 ident: 10.1016/j.neuroimage.2014.04.018_bb0225 article-title: Gaussian process methods for estimating cortical maps publication-title: NeuroImage doi: 10.1016/j.neuroimage.2010.04.272 – volume: 131 start-page: 681 issue: Pt 3 year: 2008 ident: 10.1016/j.neuroimage.2014.04.018_bb0210 article-title: Automatic classification of MR scans in Alzheimer's disease publication-title: Brain doi: 10.1093/brain/awm319 – volume: 34 start-page: 2239 issue: 10 year: 2013 ident: 10.1016/j.neuroimage.2014.04.018_bb0135 article-title: Critical ages in the life course of the adult brain: nonlinear subcortical aging publication-title: Neurobiol. Aging doi: 10.1016/j.neurobiolaging.2013.04.006 – volume: 59 start-page: 319 issue: 1 year: 2012 ident: 10.1016/j.neuroimage.2014.04.018_bb0315 article-title: Comparing dynamic causal models using AIC, BIC and free energy publication-title: NeuroImage doi: 10.1016/j.neuroimage.2011.07.039 – volume: 30 start-page: 1657 issue: 10 year: 2009 ident: 10.1016/j.neuroimage.2014.04.018_bb0200 article-title: Age-related differences in regional brain volumes: a comparison of optimized voxel-based morphometry to manual volumetry publication-title: Neurobiol. Aging doi: 10.1016/j.neurobiolaging.2007.12.020 – volume: 50 start-page: 883 issue: 3 year: 2010 ident: 10.1016/j.neuroimage.2014.04.018_bb0140 article-title: Estimating the age of healthy subjects from T1-weighted MRI scans using kernel methods: exploring the influence of various parameters publication-title: NeuroImage doi: 10.1016/j.neuroimage.2010.01.005 – volume: 15 start-page: 582 issue: Pt 3 year: 2012 ident: 10.1016/j.neuroimage.2014.04.018_bb0435 article-title: Gaussian process inference for estimating pharmacokinetic parameters of dynamic contrast-enhanced MR images publication-title: Med. Image Comput. Comput. Assist. Interv. – volume: 56 start-page: 422 issue: 2 year: 2011 ident: 10.1016/j.neuroimage.2014.04.018_bb0025 article-title: Multivariate models of inter-subject anatomical variability publication-title: NeuroImage doi: 10.1016/j.neuroimage.2010.03.059 – volume: 20 start-page: 1438 issue: 3 year: 2003 ident: 10.1016/j.neuroimage.2014.04.018_bb0260 article-title: Evaluation of voxel-based morphometry for focal lesion detection in individuals publication-title: NeuroImage doi: 10.1016/S1053-8119(03)00377-X – volume: 6 start-page: 3 year: 2012 ident: 10.1016/j.neuroimage.2014.04.018_bb0470 article-title: Models of the aging brain structure and individual decline publication-title: Front. Neuroinform. doi: 10.3389/fninf.2012.00003 – volume: 1 start-page: 1 issue: 1 year: 2005 ident: 10.1016/j.neuroimage.2014.04.018_bb0255 article-title: Voxel-based morphometry of the human brain: methods and applications publication-title: Curr. Med. Imaging Rev. – volume: 6 start-page: 1939 year: 2005 ident: 10.1016/j.neuroimage.2014.04.018_bb0330 article-title: A unifying view of sparse approximate Gaussian process regression publication-title: J. Mach. Learn. Res. – volume: 41 start-page: 1253 issue: 4 year: 2008 ident: 10.1016/j.neuroimage.2014.04.018_bb0400 article-title: Lesion identification using unified segmentation–normalisation models and fuzzy clustering publication-title: NeuroImage doi: 10.1016/j.neuroimage.2008.03.028 – volume: 19 start-page: 1498 issue: 9 year: 2007 ident: 10.1016/j.neuroimage.2014.04.018_bb0235 article-title: Open Access Series of Imaging Studies (OASIS): cross-sectional MRI data in young, middle aged, nondemented, and demented older adults publication-title: J. Cogn. Neurosci. doi: 10.1162/jocn.2007.19.9.1498 – volume: 74 start-page: 111 issue: 1 year: 2012 ident: 10.1016/j.neuroimage.2014.04.018_bb0390 article-title: A full scale approximation of covariance functions for large spatial data sets publication-title: J. R. Stat. Soc. Ser. B (Stat Methodol.) doi: 10.1111/j.1467-9868.2011.01007.x – volume: 32 start-page: 2322 issue: 12 year: 2011 ident: 10.1016/j.neuroimage.2014.04.018_bb0085 article-title: Prediction of MCI to AD conversion, via MRI, CSF biomarkers, and pattern classification publication-title: Neurobiol. Aging doi: 10.1016/j.neurobiolaging.2010.05.023 – volume: 14 start-page: 451 issue: 4 year: 2012 ident: 10.1016/j.neuroimage.2014.04.018_bb0285 article-title: Pattern recognition analyses of brain activation elicited by happy and neutral faces in unipolar and bipolar depression publication-title: Bipolar Disord. doi: 10.1111/j.1399-5618.2012.01019.x – volume: 45 start-page: 795 issue: 3 year: 2009 ident: 10.1016/j.neuroimage.2014.04.018_bb0170 article-title: Combined spatial and non-spatial prior for inference on MRI time-series publication-title: NeuroImage doi: 10.1016/j.neuroimage.2008.12.027 |
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| Title | Individualized Gaussian process-based prediction and detection of local and global gray matter abnormalities in elderly subjects |
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