Vascular and Alzheimer's disease markers independently predict brain atrophy rate in Alzheimer's Disease Neuroimaging Initiative controls
This study assessed relationships among white matter hyperintensities (WMH), cerebrospinal fluid (CSF), Alzheimer's disease (AD) pathology markers, and brain volume loss. Subjects included 197 controls, 331 individuals with mild cognitive impairment (MCI), and 146 individuals with AD with seria...
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| Published in | Neurobiology of aging Vol. 34; no. 8; pp. 1996 - 2002 |
|---|---|
| Main Authors | , , , , , , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
United States
Elsevier Inc
01.08.2013
Elsevier |
| Subjects | |
| Online Access | Get full text |
| ISSN | 0197-4580 1558-1497 1558-1497 |
| DOI | 10.1016/j.neurobiolaging.2013.02.003 |
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| Abstract | This study assessed relationships among white matter hyperintensities (WMH), cerebrospinal fluid (CSF), Alzheimer's disease (AD) pathology markers, and brain volume loss. Subjects included 197 controls, 331 individuals with mild cognitive impairment (MCI), and 146 individuals with AD with serial volumetric 1.5-T MRI. CSF Aβ1-42 (n = 351) and tau (n = 346) were measured. Brain volume change was quantified using the boundary shift integral (BSI). We assessed the association between baseline WMH volume and annualized BSI, adjusting for intracranial volume. We also performed multiple regression analyses in the CSF subset, assessing the relationships of WMH and Aβ1-42 and/or tau with BSI. WMH burden was positively associated with BSI in controls (p = 0.02) but not MCI or AD. In multivariable models, WMH (p = 0.003) and Aβ1-42 (p = 0.001) were independently associated with BSI in controls; in MCI Aβ1-42 (p < 0.001) and tau (p = 0.04) were associated with BSI. There was no evidence of independent effects of WMH or CSF measures on BSI in AD. These data support findings that vascular damage is associated with increased brain atrophy in the context of AD pathology in pre-dementia stages. |
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| AbstractList | This study assessed relationships among white matter hyperintensities (WMH), cerebrospinal fluid (CSF), Alzheimer's disease (AD) pathology markers, and brain volume loss. Subjects included 197 controls, 331 individuals with mild cognitive impairment (MCI), and 146 individuals with AD with serial volumetric 1.5-T MRI. CSF AI21-42 (n = 351) and tau (n = 346) were measured. Brain volume change was quantified using the boundary shift integral (BSI). We assessed the association between baseline WMH volume and annualized BSI, adjusting for intracranial volume. We also performed multiple regression analyses in the CSF subset, assessing the relationships of WMH and AI21-42 and/or tau with BSI. WMH burden was positively associated with BSI in controls (p = 0.02) but not MCI or AD. In multivariable models, WMH (p = 0.003) and AI21-42 (p = 0.001) were independently associated with BSI in controls; in MCI AI21-42 (p < 0.001) and tau (p = 0.04) were associated with BSI. There was no evidence of independent effects of WMH or CSF measures on BSI in AD. These data support findings that vascular damage is associated with increased brain atrophy in the context of AD pathology in pre-dementia stages. This study assessed relationships among white matter hyperintensities (WMH), cerebrospinal fluid (CSF), Alzheimer's disease (AD) pathology markers, and brain volume loss. Subjects included 197 controls, 331 individuals with mild cognitive impairment (MCI), and 146 individuals with AD with serial volumetric 1.5-T MRI. CSF Aβ1-42 (n = 351) and tau (n = 346) were measured. Brain volume change was quantified using the boundary shift integral (BSI). We assessed the association between baseline WMH volume and annualized BSI, adjusting for intracranial volume. We also performed multiple regression analyses in the CSF subset, assessing the relationships of WMH and Aβ1-42 and/or tau with BSI. WMH burden was positively associated with BSI in controls (p = 0.02) but not MCI or AD. In multivariable models, WMH (p = 0.003) and Aβ1-42 (p = 0.001) were independently associated with BSI in controls; in MCI Aβ1-42 (p < 0.001) and tau (p = 0.04) were associated with BSI. There was no evidence of independent effects of WMH or CSF measures on BSI in AD. These data support findings that vascular damage is associated with increased brain atrophy in the context of AD pathology in pre-dementia stages. Abstract This study assessed relationships among white matter hyperintensities (WMH), cerebrospinal fluid (CSF), Alzheimer's disease (AD) pathology markers, and brain volume loss. Subjects included 197 controls, 331 individuals with mild cognitive impairment (MCI), and 146 individuals with AD with serial volumetric 1.5-T MRI. CSF Aβ1-42 (n = 351) and tau (n = 346) were measured. Brain volume change was quantified using the boundary shift integral (BSI). We assessed the association between baseline WMH volume and annualized BSI, adjusting for intracranial volume. We also performed multiple regression analyses in the CSF subset, assessing the relationships of WMH and Aβ1-42 and/or tau with BSI. WMH burden was positively associated with BSI in controls ( p = 0.02) but not MCI or AD. In multivariable models, WMH ( p = 0.003) and Aβ1-42 ( p = 0.001) were independently associated with BSI in controls; in MCI Aβ1-42 ( p < 0.001) and tau ( p = 0.04) were associated with BSI. There was no evidence of independent effects of WMH or CSF measures on BSI in AD. These data support findings that vascular damage is associated with increased brain atrophy in the context of AD pathology in pre-dementia stages. This study assessed relationships among white matter hyperintensities (WMH), cerebrospinal fluid (CSF), Alzheimer's disease (AD) pathology markers, and brain volume loss. Subjects included 197 controls, 331 individuals with mild cognitive impairment (MCI), and 146 individuals with AD with serial volumetric 1.5-T MRI. CSF Aβ1-42 (n = 351) and tau (n = 346) were measured. Brain volume change was quantified using the boundary shift integral (BSI). We assessed the association between baseline WMH volume and annualized BSI, adjusting for intracranial volume. We also performed multiple regression analyses in the CSF subset, assessing the relationships of WMH and Aβ1-42 and/or tau with BSI. WMH burden was positively associated with BSI in controls ( p = 0.02) but not MCI or AD. In multivariable models, WMH ( p = 0.003) and Aβ1-42 ( p = 0.001) were independently associated with BSI in controls; in MCI Aβ1-42 ( p < 0.001) and tau ( p = 0.04) were associated with BSI. There was no evidence of independent effects of WMH or CSF measures on BSI in AD. These data support findings that vascular damage is associated with increased brain atrophy in the context of AD pathology in pre-dementia stages. This study assessed relationships among white matter hyperintensities (WMH), cerebrospinal fluid (CSF), Alzheimer's disease (AD) pathology markers, and brain volume loss. Subjects included 197 controls, 331 individuals with mild cognitive impairment (MCI), and 146 individuals with AD with serial volumetric 1.5-T MRI. CSF Aβ1-42 (n = 351) and tau (n = 346) were measured. Brain volume change was quantified using the boundary shift integral (BSI). We assessed the association between baseline WMH volume and annualized BSI, adjusting for intracranial volume. We also performed multiple regression analyses in the CSF subset, assessing the relationships of WMH and Aβ1-42 and/or tau with BSI. WMH burden was positively associated with BSI in controls (p = 0.02) but not MCI or AD. In multivariable models, WMH (p = 0.003) and Aβ1-42 (p = 0.001) were independently associated with BSI in controls; in MCI Aβ1-42 (p < 0.001) and tau (p = 0.04) were associated with BSI. There was no evidence of independent effects of WMH or CSF measures on BSI in AD. These data support findings that vascular damage is associated with increased brain atrophy in the context of AD pathology in pre-dementia stages.This study assessed relationships among white matter hyperintensities (WMH), cerebrospinal fluid (CSF), Alzheimer's disease (AD) pathology markers, and brain volume loss. Subjects included 197 controls, 331 individuals with mild cognitive impairment (MCI), and 146 individuals with AD with serial volumetric 1.5-T MRI. CSF Aβ1-42 (n = 351) and tau (n = 346) were measured. Brain volume change was quantified using the boundary shift integral (BSI). We assessed the association between baseline WMH volume and annualized BSI, adjusting for intracranial volume. We also performed multiple regression analyses in the CSF subset, assessing the relationships of WMH and Aβ1-42 and/or tau with BSI. WMH burden was positively associated with BSI in controls (p = 0.02) but not MCI or AD. In multivariable models, WMH (p = 0.003) and Aβ1-42 (p = 0.001) were independently associated with BSI in controls; in MCI Aβ1-42 (p < 0.001) and tau (p = 0.04) were associated with BSI. There was no evidence of independent effects of WMH or CSF measures on BSI in AD. These data support findings that vascular damage is associated with increased brain atrophy in the context of AD pathology in pre-dementia stages. This study assessed relationships among white matter hyperintensities (WMH), cerebrospinal fluid (CSF), Alzheimer's disease (AD) pathology markers, and brain volume loss. Subjects included 197 controls, 331 individuals with mild cognitive impairment (MCI), and 146 individuals with AD with serial volumetric 1.5-T MRI. CSF Aβ1-42 (n = 351) and tau (n = 346) were measured. Brain volume change was quantified using the boundary shift integral (BSI). We assessed the association between baseline WMH volume and annualized BSI, adjusting for intracranial volume. We also performed multiple regression analyses in the CSF subset, assessing the relationships of WMH and Aβ1-42 and/or tau with BSI. WMH burden was positively associated with BSI in controls (p = 0.02) but not MCI or AD. In multivariable models, WMH (p = 0.003) and Aβ1-42 (p = 0.001) were independently associated with BSI in controls; in MCI Aβ1-42 (p < 0.001) and tau (p = 0.04) were associated with BSI. There was no evidence of independent effects of WMH or CSF measures on BSI in AD. These data support findings that vascular damage is associated with increased brain atrophy in the context of AD pathology in pre-dementia stages. This study assessed relationships among white matter hyperintensities (WMH), cerebrospinal fluid (CSF), Alzheimer's disease (AD) pathology markers, and brain volume loss. Subjects included 197 controls, 331 individuals with mild cognitive impairment (MCI), and 146 individuals with AD with serial volumetric 1.5-T MRI. CSF A beta 1-42 (n = 351) and tau (n = 346) were measured. Brain volume change was quantified using the boundary shift integral (BSI). We assessed the association between baseline WMH volume and annualized BSI, adjusting for intracranial volume. We also performed multiple regression analyses in the CSF subset, assessing the relationships of WMH and A beta 1-42 and/or tau with BSI. WMH burden was positively associated with BSI in controls (p = 0.02) but not MCI or AD. In multivariable models, WMH (p = 0.003) and A beta 1-42 (p = 0.001) were independently associated with BSI in controls; in MCI A beta 1-42 (p < 0.001) and tau (p = 0.04) were associated with BSI. There was no evidence of independent effects of WMH or CSF measures on BSI in AD. These data support findings that vascular damage is associated with increased brain atrophy in the context of AD pathology in pre-dementia stages. |
| Author | Malone, Ian B. Carmichael, Owen T. Leung, Kelvin K. Schwarz, Christopher Bartlett, Jonathan W. DeCarli, Charlie Ridgway, Gerard R. Rossor, Martin N. Biessels, Geert Jan Fox, Nick C. Barnes, Josephine Schott, Jonathan M. |
| AuthorAffiliation | b Department of Neurology, University of California–Davis, Davis, CA, USA c Wellcome Trust Centre for Neuroimaging, University College London Institute of Neurology, London, UK e Department of Neurology and Neurosurgery, University Medical Center Utrecht, the Netherlands d Department of Medical Statistics, London School of Hygiene and Tropical Medicine, London, UK a Dementia Research Centre, Department of Neurodegenerative Disease, University College London Institute of Neurology, London, UK |
| AuthorAffiliation_xml | – name: a Dementia Research Centre, Department of Neurodegenerative Disease, University College London Institute of Neurology, London, UK – name: e Department of Neurology and Neurosurgery, University Medical Center Utrecht, the Netherlands – name: c Wellcome Trust Centre for Neuroimaging, University College London Institute of Neurology, London, UK – name: b Department of Neurology, University of California–Davis, Davis, CA, USA – name: d Department of Medical Statistics, London School of Hygiene and Tropical Medicine, London, UK |
| Author_xml | – sequence: 1 givenname: Josephine surname: Barnes fullname: Barnes, Josephine email: j.barnes@ucl.ac.uk organization: Dementia Research Centre, Department of Neurodegenerative Disease, University College London Institute of Neurology, London, UK – sequence: 2 givenname: Owen T. surname: Carmichael fullname: Carmichael, Owen T. organization: Department of Neurology, University of California–Davis, Davis, CA, USA – sequence: 3 givenname: Kelvin K. surname: Leung fullname: Leung, Kelvin K. organization: Dementia Research Centre, Department of Neurodegenerative Disease, University College London Institute of Neurology, London, UK – sequence: 4 givenname: Christopher surname: Schwarz fullname: Schwarz, Christopher organization: Department of Neurology, University of California–Davis, Davis, CA, USA – sequence: 5 givenname: Gerard R. surname: Ridgway fullname: Ridgway, Gerard R. organization: Wellcome Trust Centre for Neuroimaging, University College London Institute of Neurology, London, UK – sequence: 6 givenname: Jonathan W. surname: Bartlett fullname: Bartlett, Jonathan W. organization: Department of Medical Statistics, London School of Hygiene and Tropical Medicine, London, UK – sequence: 7 givenname: Ian B. surname: Malone fullname: Malone, Ian B. organization: Dementia Research Centre, Department of Neurodegenerative Disease, University College London Institute of Neurology, London, UK – sequence: 8 givenname: Jonathan M. surname: Schott fullname: Schott, Jonathan M. organization: Dementia Research Centre, Department of Neurodegenerative Disease, University College London Institute of Neurology, London, UK – sequence: 9 givenname: Martin N. surname: Rossor fullname: Rossor, Martin N. organization: Dementia Research Centre, Department of Neurodegenerative Disease, University College London Institute of Neurology, London, UK – sequence: 10 givenname: Geert Jan surname: Biessels fullname: Biessels, Geert Jan organization: Department of Neurology and Neurosurgery, University Medical Center Utrecht, the Netherlands – sequence: 11 givenname: Charlie surname: DeCarli fullname: DeCarli, Charlie organization: Department of Neurology, University of California–Davis, Davis, CA, USA – sequence: 12 givenname: Nick C. surname: Fox fullname: Fox, Nick C. organization: Dementia Research Centre, Department of Neurodegenerative Disease, University College London Institute of Neurology, London, UK |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/23522844$$D View this record in MEDLINE/PubMed |
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| Cites_doi | 10.1212/01.wnl.0000271090.28148.24 10.1016/j.neurobiolaging.2010.01.021 10.1159/000226117 10.1002/ana.22315 10.1002/ana.21610 10.1001/archneur.63.5.674 10.1038/nrd3842 10.1002/ana.21223 10.1523/JNEUROSCI.3785-09.2010 10.1109/42.640753 10.1161/01.STR.0000135226.53499.85 10.1001/archneur.63.5.665 10.1016/j.neurobiolaging.2010.04.011 10.1212/01.wnl.0000249119.95747.1f 10.1016/j.jns.2012.06.012 10.1016/j.neuroimage.2010.03.018 10.1161/STR.0b013e3182299496 10.3233/JAD-2010-091501 10.1126/science.1228541 10.1162/jocn.2006.18.3.418 10.1093/brain/awp007 10.3233/JAD-2006-9S308 10.1212/01.WNL.0000110315.26026.EF 10.1016/S0169-2607(97)01803-8 10.1016/j.neurobiolaging.2008.06.016 10.1016/j.neuroimage.2009.12.059 10.1212/01.wnl.0000167542.89697.0f 10.1016/j.neuroimage.2009.01.004 10.1001/archneur.58.4.643 10.1159/000111500 10.1212/WNL.0b013e318227b227 10.1016/j.neurobiolaging.2010.04.030 10.1212/01.wnl.0000316799.86917.37 10.1016/j.neurobiolaging.2004.05.004 10.1016/j.jalz.2011.05.099 10.3233/JAD-2009-1182 10.2217/bmm.09.91 10.1001/archneurol.2010.284 10.1212/01.wnl.0000344568.09360.31 10.1007/s00330-009-1581-5 10.1016/S1474-4422(09)70299-6 10.1016/j.neuroimage.2005.08.057 10.1212/01.wnl.0000191403.95453.6a 10.1016/j.biopsych.2008.03.024 10.1016/j.neuroimage.2010.12.067 10.1111/j.1749-6632.2002.tb04794.x 10.1136/jnnp.2009.204685 10.1212/WNL.0b013e3181f39adc |
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| Copyright | 2013 Elsevier Inc. Elsevier Inc. Copyright © 2013 Elsevier Inc. All rights reserved. 2013 Elsevier Inc. 2013 Elsevier Inc. |
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| Keywords | Vascular disease Volumetric MRI Normal aging Alzheimer's disease Mild cognitive impairment (MCI) |
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| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 ObjectType-Article-2 ObjectType-Feature-1 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 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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| PublicationPlace_xml | – name: United States |
| PublicationTitle | Neurobiology of aging |
| PublicationTitleAlternate | Neurobiol Aging |
| PublicationYear | 2013 |
| Publisher | Elsevier Inc Elsevier |
| Publisher_xml | – name: Elsevier Inc – name: Elsevier |
| References | Tiehuis, Vincken, Mali, Kappelle, Anbeek, Algra, Biessels (bib44) 2008; 25 Schwarz, Fletcher, DeCarli, Carmichael (bib39) 2009; 21 Jack, Shiung, Gunter, O'Brien, Weigand, Knopman, Boeve, Ivnik, Smith, Cha, Tangalos, Petersen (bib17) 2004; 62 Jeerakathil, Wolf, Beiser, Massaro, Seshadri, D'Agostino, DeCarli (bib18) 2004; 35 Kim, MacFall, Payne (bib22) 2008; 64 Schott, Price, Frost, Whitwell, Rossor, Fox (bib37) 2005; 65 Reiman, Langbaum, Tariot (bib31) 2010; 4 Godin, Maillard, Crivello, Alperovitch, Mazoyer, Tzourio, Dufouil (bib11) 2009; 28 Leung, Barnes, Modat, Ridgway, Bartlett, Fox, Ourselin (bib25) 2011; 55 DeCarli, Miller, Swan, Reed, Wolf, Carmelli (bib6) 2001; 58 Selkoe (bib40) 2012; 337 Freeborough, Fox, Kitney (bib10) 1997; 53 Schuff, Woerner, Boreta, Kornfield, Shaw, Trojanowski, Thompson, Jack, Weiner (bib38) 2009; 132 Gorelick, Scuteri, Black, DeCarli, Greenberg, Iadecola, Launer, Laurent, Lopez, Nyenhuis, Petersen, Schneider, Tzourio, Arnett, Bennett, Chui, Higashida, Lindquist, Nilsson, Roman, Sellke, Seshadri (bib12) 2011; 42 Tosun, Schuff, Truran-Sacrey, Shaw, Trojanowski, Aisen, Peterson, Weiner (bib45) 2010; 31 Henneman, Sluimer, Barnes, van der Flier, Sluimer, Fox, Scheltens, Vrenken, Barkhof (bib15) 2009; 72 Wilson, Leurgans, Boyle, Schneider, Bennett (bib48) 2010; 75 Carmichael, Schwarz, Drucker, Fletcher, Harvey, Beckett, Jack, Weiner, DeCarli (bib3) 2010; 67 Schneider, Arvanitakis, Bang, Bennett (bib34) 2007; 69 Mullard (bib28) 2012; 11 Jellinger (bib19) 2006; 9 Brayne, Richardson, Matthews, Fleming, Hunter, Xuereb, Paykel, Mukaetova-Ladinska, Huppert, O'Sullivan, Dening (bib1) 2009; 18 Carmichael, Mungas, Beckett, Harvey, Tomaszewski, Reed, Olichney, Miller, DeCarli (bib2) 2012; 33 Debette, Seshadri, Beiser, Au, Himali, Palumbo, Wolf, DeCarli (bib4) 2011; 77 Leow, Yanovsky, Parikshak, Hua, Lee, Toga, Jack, Bernstein, Britson, Gunter, Ward, Borowski, Shaw, Trojanowski, Fleisher, Harvey, Kornak, Schuff, Alexander, Weiner, Thompson (bib24) 2009; 45 Jack, Knopman, Jagust, Shaw, Aisen, Weiner, Petersen, Trojanowski (bib16) 2010; 9 Gurol, Irizarry, Smith, Raju, Diaz-Arrastia, Bottiglieri, Rosand, Growdon, Greenberg (bib14) 2006; 66 Leung, Barnes, Ridgway, Bartlett, Clarkson, Macdonald, Schuff, Fox, Ourselin (bib26) 2010; 51 Sluimer, Bouwman, Vrenken, Blankenstein, Barkhof, van der Flier, Scheltens (bib43) 2010; 31 Petersen, Parisi, Dickson, Johnson, Knopman, Boeve, Jicha, Ivnik, Smith, Tangalos, Braak, Kokmen (bib30) 2006; 63 DeCarli, Massaro, Harvey, Hald, Tullberg, Au, Beiser, D'Agostino, Wolf (bib5) 2005; 26 Josephs, Whitwell, Ahmed, Shiung, Weigand, Knopman, Boeve, Parisi, Petersen, Dickson, Jack (bib21) 2008; 63 Shaw, Vanderstichele, Knapik-Czajka, Clark, Aisen, Petersen, Blennow, Soares, Simon, Lewczuk, Dean, Siemers, Potter, Lee, Trojanowski (bib41) 2009; 65 Leung, Clarkson, Bartlett, Clegg, Jack, Weiner, Fox, Ourselin (bib27) 2010; 50 Fjell, Walhovd, Fennema-Notestine, McEvoy, Hagler, Holland, Brewer, Dale (bib8) 2010; 30 Freeborough, Fox (bib9) 1997; 16 Evans, Barnes, Nielsen, Kim, Clegg, Blair, Leung, Douiri, Boyes, Ourselin, Fox (bib7) 2010; 20 Schott, Bartlett, Fox, Barnes (bib36) 2010; 68 Yoshita, Fletcher, Harvey, Ortega, Martinez, Mungas, Reed, DeCarli (bib49) 2006; 67 Wen, Sachdev, Chen, Anstey (bib46) 2006; 29 Schott, Bartlett, Barnes, Leung, Ourselin, Fox (bib35) 2010; 31 Nordahl, Ranganath, Yonelinas, DeCarli, Fletcher, Jagust (bib29) 2006; 18 Silbert, Nelson, Howieson, Moore, Kaye (bib42) 2008; 71 Le Bastard, Leurs, Blomme, De Deyn, Engelborghs (bib23) 2010; 21 Richard, Andrieu, Solomon, Mangialasche, Ahtiluoto, Moll van Charante, Coley, Fratiglioni, Neely, Vellas, van Gool, Kivipelto (bib32) 2012; 322 Jicha, Parisi, Dickson, Johnson, Cha, Ivnik, Tangalos, Boeve, Knopman, Braak, Petersen (bib20) 2006; 63 Ridgway, Barnes, Pepple, Fox (bib33) 2011; 7 Gouw, Seewann, van der Flier, Barkhof, Rozemuller, Scheltens, Geurts (bib13) 2011; 82 White, Petrovitch, Hardman, Nelson, Davis, Ross, Masaki, Launer, Markesbery (bib47) 2002; 977 Henneman (10.1016/j.neurobiolaging.2013.02.003_bib15) 2009; 72 Schott (10.1016/j.neurobiolaging.2013.02.003_bib35) 2010; 31 Fjell (10.1016/j.neurobiolaging.2013.02.003_bib8) 2010; 30 Schott (10.1016/j.neurobiolaging.2013.02.003_bib37) 2005; 65 Jack (10.1016/j.neurobiolaging.2013.02.003_bib16) 2010; 9 Kim (10.1016/j.neurobiolaging.2013.02.003_bib22) 2008; 64 Shaw (10.1016/j.neurobiolaging.2013.02.003_bib41) 2009; 65 Wilson (10.1016/j.neurobiolaging.2013.02.003_bib48) 2010; 75 Sluimer (10.1016/j.neurobiolaging.2013.02.003_bib43) 2010; 31 Jellinger (10.1016/j.neurobiolaging.2013.02.003_bib19) 2006; 9 DeCarli (10.1016/j.neurobiolaging.2013.02.003_bib5) 2005; 26 Silbert (10.1016/j.neurobiolaging.2013.02.003_bib42) 2008; 71 Reiman (10.1016/j.neurobiolaging.2013.02.003_bib31) 2010; 4 Evans (10.1016/j.neurobiolaging.2013.02.003_bib7) 2010; 20 Wen (10.1016/j.neurobiolaging.2013.02.003_bib46) 2006; 29 Gouw (10.1016/j.neurobiolaging.2013.02.003_bib13) 2011; 82 Brayne (10.1016/j.neurobiolaging.2013.02.003_bib1) 2009; 18 Carmichael (10.1016/j.neurobiolaging.2013.02.003_bib2) 2012; 33 Richard (10.1016/j.neurobiolaging.2013.02.003_bib32) 2012; 322 Carmichael (10.1016/j.neurobiolaging.2013.02.003_bib3) 2010; 67 Schwarz (10.1016/j.neurobiolaging.2013.02.003_bib39) 2009; 21 Schneider (10.1016/j.neurobiolaging.2013.02.003_bib34) 2007; 69 Schott (10.1016/j.neurobiolaging.2013.02.003_bib36) 2010; 68 DeCarli (10.1016/j.neurobiolaging.2013.02.003_bib6) 2001; 58 Leung (10.1016/j.neurobiolaging.2013.02.003_bib27) 2010; 50 Mullard (10.1016/j.neurobiolaging.2013.02.003_bib28) 2012; 11 Gorelick (10.1016/j.neurobiolaging.2013.02.003_bib12) 2011; 42 Gurol (10.1016/j.neurobiolaging.2013.02.003_bib14) 2006; 66 Yoshita (10.1016/j.neurobiolaging.2013.02.003_bib49) 2006; 67 Selkoe (10.1016/j.neurobiolaging.2013.02.003_bib40) 2012; 337 Ridgway (10.1016/j.neurobiolaging.2013.02.003_bib33) 2011; 7 Jeerakathil (10.1016/j.neurobiolaging.2013.02.003_bib18) 2004; 35 Jicha (10.1016/j.neurobiolaging.2013.02.003_bib20) 2006; 63 Schuff (10.1016/j.neurobiolaging.2013.02.003_bib38) 2009; 132 Le Bastard (10.1016/j.neurobiolaging.2013.02.003_bib23) 2010; 21 Debette (10.1016/j.neurobiolaging.2013.02.003_bib4) 2011; 77 Jack (10.1016/j.neurobiolaging.2013.02.003_bib17) 2004; 62 Freeborough (10.1016/j.neurobiolaging.2013.02.003_bib10) 1997; 53 Freeborough (10.1016/j.neurobiolaging.2013.02.003_bib9) 1997; 16 Godin (10.1016/j.neurobiolaging.2013.02.003_bib11) 2009; 28 Petersen (10.1016/j.neurobiolaging.2013.02.003_bib30) 2006; 63 Josephs (10.1016/j.neurobiolaging.2013.02.003_bib21) 2008; 63 Nordahl (10.1016/j.neurobiolaging.2013.02.003_bib29) 2006; 18 Leung (10.1016/j.neurobiolaging.2013.02.003_bib26) 2010; 51 Tiehuis (10.1016/j.neurobiolaging.2013.02.003_bib44) 2008; 25 Leow (10.1016/j.neurobiolaging.2013.02.003_bib24) 2009; 45 Tosun (10.1016/j.neurobiolaging.2013.02.003_bib45) 2010; 31 Leung (10.1016/j.neurobiolaging.2013.02.003_bib25) 2011; 55 White (10.1016/j.neurobiolaging.2013.02.003_bib47) 2002; 977 |
| References_xml | – volume: 4 start-page: 3 year: 2010 end-page: 14 ident: bib31 article-title: Alzheimer's prevention initiative: a proposal to evaluate presymptomatic treatments as quickly as possible publication-title: Biomark. Med. – volume: 337 start-page: 1488 year: 2012 end-page: 1492 ident: bib40 article-title: Preventing Alzheimer's disease publication-title: Science – volume: 64 start-page: 273 year: 2008 end-page: 280 ident: bib22 article-title: Classification of white matter lesions on magnetic resonance imaging in elderly persons publication-title: Biol. Psychiatry – volume: 18 start-page: 645 year: 2009 end-page: 658 ident: bib1 article-title: Neuropathological correlates of dementia in over-80-year-old brain donors from the population-based Cambridge city over-75s cohort (CC75C) study publication-title: J. Alzheimers Dis. – volume: 72 start-page: 999 year: 2009 end-page: 1007 ident: bib15 article-title: Hippocampal atrophy rates in Alzheimer disease: added value over whole brain volume measures publication-title: Neurology – volume: 45 start-page: 645 year: 2009 end-page: 655 ident: bib24 article-title: Alzheimer's disease neuroimaging initiative: a one-year follow up study using tensor-based morphometry correlating degenerative rates, biomarkers and cognition publication-title: Neuroimage – volume: 28 start-page: 177 year: 2009 end-page: 184 ident: bib11 article-title: Association of white-matter lesions with brain atrophy markers: the three-city Dijon MRI study publication-title: Cerebrovasc. Dis. – volume: 31 start-page: 1452 year: 2010 end-page: 1462 ident: bib35 article-title: Reduced sample sizes for atrophy outcomes in Alzheimer's disease trials: baseline adjustment publication-title: Neurobiol. Aging – volume: 11 start-page: 657 year: 2012 end-page: 660 ident: bib28 article-title: Sting of Alzheimer's failures offset by upcoming prevention trials publication-title: Nat. Rev. Drug Discov. – volume: 62 start-page: 591 year: 2004 end-page: 600 ident: bib17 article-title: Comparison of different MRI brain atrophy rate measures with clinical disease progression in AD publication-title: Neurology – volume: 77 start-page: 461 year: 2011 end-page: 468 ident: bib4 article-title: Midlife vascular risk factor exposure accelerates structural brain aging and cognitive decline publication-title: Neurology – volume: 67 start-page: 1370 year: 2010 end-page: 1378 ident: bib3 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: 9 start-page: 119 year: 2010 end-page: 128 ident: bib16 article-title: Hypothetical model of dynamic biomarkers of the Alzheimer's pathological cascade publication-title: Lancet Neurol. – volume: 322 start-page: 64 year: 2012 end-page: 70 ident: bib32 article-title: Methodological challenges in designing dementia prevention trials—the European Dementia Prevention Initiative (EDPI) publication-title: J. Neurol. Sci. – volume: 29 start-page: 1031 year: 2006 end-page: 1039 ident: bib46 article-title: Gray matter reduction is correlated with white matter hyperintensity volume: a voxel-based morphometric study in a large epidemiological sample publication-title: Neuroimage – volume: 9 start-page: 61 year: 2006 end-page: 70 ident: bib19 article-title: Clinicopathological analysis of dementia disorders in the elderly–an update publication-title: J. Alzheimers. Dis. – volume: 21 start-page: 291 year: 2010 end-page: 301 ident: bib23 article-title: Plasma amyloid-beta forms in Alzheimer's disease and non-Alzheimer's disease patients publication-title: J. Alzheimers. Dis. – volume: 58 start-page: 643 year: 2001 end-page: 647 ident: bib6 article-title: Cerebrovascular and brain morphologic correlates of mild cognitive impairment in the National Heart, Lung, and Blood Institute Twin Study publication-title: Arch. Neurol. – volume: 18 start-page: 418 year: 2006 end-page: 429 ident: bib29 article-title: White matter changes compromise prefrontal cortex function in healthy elderly individuals publication-title: J. Cogn. Neurosci. – volume: 7 start-page: S62 year: 2011 end-page: S63 ident: bib33 article-title: Estimation of total intracranial volume: a comparison of methods publication-title: Alzheimers Dement. – volume: 55 start-page: 1091 year: 2011 end-page: 1108 ident: bib25 article-title: Brain MAPS: an automated, accurate and robust brain extraction technique using a template library publication-title: Neuroimage – volume: 21 start-page: 239 year: 2009 end-page: 251 ident: bib39 article-title: Fully-automated white matter hyperintensity detection with anatomical prior knowledge and without FLAIR publication-title: Inf. Process Med. Imaging – volume: 16 start-page: 623 year: 1997 end-page: 629 ident: bib9 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: 66 start-page: 23 year: 2006 end-page: 29 ident: bib14 article-title: Plasma beta-amyloid and white matter lesions in AD, MCI, and cerebral amyloid angiopathy publication-title: Neurology – volume: 51 start-page: 1345 year: 2010 end-page: 1359 ident: bib26 article-title: Automated cross-sectional and longitudinal hippocampal volume measurement in mild cognitive impairment and Alzheimer's disease publication-title: Neuroimage – volume: 132 start-page: 1067 year: 2009 end-page: 1077 ident: bib38 article-title: MRI of hippocampal volume loss in early Alzheimer's disease in relation to ApoE genotype and biomarkers publication-title: Brain – volume: 50 start-page: 516 year: 2010 end-page: 523 ident: bib27 article-title: Robust atrophy rate measurement in Alzheimer's disease using multi-site serial MRI: tissue-specific intensity normalization and parameter selection publication-title: Neuroimage – volume: 75 start-page: 1070 year: 2010 end-page: 1078 ident: bib48 article-title: Neurodegenerative basis of age-related cognitive decline publication-title: Neurology – volume: 26 start-page: 491 year: 2005 end-page: 510 ident: bib5 article-title: Measures of brain morphology and infarction in the framingham heart study: establishing what is normal publication-title: Neurobiol. Aging – volume: 71 start-page: 108 year: 2008 end-page: 113 ident: bib42 article-title: Impact of white matter hyperintensity volume progression on rate of cognitive and motor decline publication-title: Neurology – volume: 25 start-page: 59 year: 2008 end-page: 66 ident: bib44 article-title: Automated and visual scoring methods of cerebral white matter hyperintensities: relation with age and cognitive function publication-title: Cerebrovasc. Dis. – volume: 30 start-page: 2088 year: 2010 end-page: 2101 ident: bib8 article-title: CSF biomarkers in prediction of cerebral and clinical change in mild cognitive impairment and Alzheimer's disease publication-title: J. Neurosci. – volume: 69 start-page: 2197 year: 2007 end-page: 2204 ident: bib34 article-title: Mixed brain pathologies account for most dementia cases in community-dwelling older persons publication-title: Neurology – volume: 977 start-page: 9 year: 2002 end-page: 23 ident: bib47 article-title: Cerebrovascular pathology and dementia in autopsied Honolulu-Asia Aging Study participants publication-title: Ann. N.Y. Acad. Sci. – volume: 63 start-page: 674 year: 2006 end-page: 681 ident: bib20 article-title: Neuropathologic outcome of mild cognitive impairment following progression to clinical dementia publication-title: Arch. Neurol. – volume: 31 start-page: 758 year: 2010 end-page: 764 ident: bib43 article-title: Whole-brain atrophy rate and CSF biomarker levels in MCI and AD: a longitudinal study publication-title: Neurobiol. Aging – volume: 67 start-page: 2192 year: 2006 end-page: 2198 ident: bib49 article-title: Extent and distribution of white matter hyperintensities in normal aging, MCI, and AD publication-title: Neurology – volume: 20 start-page: 674 year: 2010 end-page: 682 ident: bib7 article-title: Volume changes in Alzheimer's disease and mild cognitive impairment: cognitive associations publication-title: Eur. Radiol. – volume: 33 start-page: 83 year: 2012 end-page: 95 ident: bib2 article-title: MRI predictors of cognitive change in a diverse and carefully characterized elderly population publication-title: Neurobiol. Aging – volume: 65 start-page: 403 year: 2009 end-page: 413 ident: bib41 article-title: Cerebrospinal fluid biomarker signature in Alzheimer's disease neuroimaging initiative subjects publication-title: Ann. Neurology – volume: 42 start-page: 2672 year: 2011 end-page: 2713 ident: bib12 article-title: Vascular contributions to cognitive impairment and dementia: a statement for healthcare professionals from the American Heart Association/American Stroke Association publication-title: Stroke – volume: 35 start-page: 1857 year: 2004 end-page: 1861 ident: bib18 article-title: Stroke risk profile predicts white matter hyperintensity volume: the Framingham Study publication-title: Stroke – volume: 63 start-page: 665 year: 2006 end-page: 672 ident: bib30 article-title: Neuropathologic features of amnestic mild cognitive impairment publication-title: Arch. Neurol. – volume: 68 start-page: 825 year: 2010 end-page: 834 ident: bib36 article-title: Increased brain atrophy rates in cognitively normal older adults with low cerebrospinal fluid Abeta1-42 publication-title: Ann. Neurol. – volume: 53 start-page: 15 year: 1997 end-page: 25 ident: bib10 article-title: Interactive algorithms for the segmentation and quantitation of 3-D MRI brain scans publication-title: Comput Methods Programs Biomed. – volume: 82 start-page: 126 year: 2011 end-page: 135 ident: bib13 article-title: Heterogeneity of small vessel disease: a systematic review of MRI and histopathology correlations publication-title: J. Neurol. Neurosurg. Psychiatry – volume: 63 start-page: 204 year: 2008 end-page: 212 ident: bib21 article-title: Beta-amyloid burden is not associated with rates of brain atrophy publication-title: Ann. Neurol. – volume: 31 start-page: 1340 year: 2010 end-page: 1354 ident: bib45 article-title: Relations between brain tissue loss, CSF biomarkers, and the ApoE genetic profile: a longitudinal MRI study publication-title: Neurobiol. Aging – volume: 65 start-page: 119 year: 2005 end-page: 124 ident: bib37 article-title: Measuring atrophy in Alzheimer disease—A serial MRI study over 6 and 12 months publication-title: Neurology – volume: 69 start-page: 2197 year: 2007 ident: 10.1016/j.neurobiolaging.2013.02.003_bib34 article-title: Mixed brain pathologies account for most dementia cases in community-dwelling older persons publication-title: Neurology doi: 10.1212/01.wnl.0000271090.28148.24 – volume: 33 start-page: 83 year: 2012 ident: 10.1016/j.neurobiolaging.2013.02.003_bib2 article-title: MRI predictors of cognitive change in a diverse and carefully characterized elderly population publication-title: Neurobiol. Aging doi: 10.1016/j.neurobiolaging.2010.01.021 – volume: 28 start-page: 177 year: 2009 ident: 10.1016/j.neurobiolaging.2013.02.003_bib11 article-title: Association of white-matter lesions with brain atrophy markers: the three-city Dijon MRI study publication-title: Cerebrovasc. Dis. doi: 10.1159/000226117 – volume: 68 start-page: 825 year: 2010 ident: 10.1016/j.neurobiolaging.2013.02.003_bib36 article-title: Increased brain atrophy rates in cognitively normal older adults with low cerebrospinal fluid Abeta1-42 publication-title: Ann. Neurol. doi: 10.1002/ana.22315 – volume: 65 start-page: 403 year: 2009 ident: 10.1016/j.neurobiolaging.2013.02.003_bib41 article-title: Cerebrospinal fluid biomarker signature in Alzheimer's disease neuroimaging initiative subjects publication-title: Ann. Neurology doi: 10.1002/ana.21610 – volume: 21 start-page: 239 year: 2009 ident: 10.1016/j.neurobiolaging.2013.02.003_bib39 article-title: Fully-automated white matter hyperintensity detection with anatomical prior knowledge and without FLAIR publication-title: Inf. Process Med. Imaging – volume: 63 start-page: 674 year: 2006 ident: 10.1016/j.neurobiolaging.2013.02.003_bib20 article-title: Neuropathologic outcome of mild cognitive impairment following progression to clinical dementia publication-title: Arch. Neurol. doi: 10.1001/archneur.63.5.674 – volume: 11 start-page: 657 year: 2012 ident: 10.1016/j.neurobiolaging.2013.02.003_bib28 article-title: Sting of Alzheimer's failures offset by upcoming prevention trials publication-title: Nat. Rev. Drug Discov. doi: 10.1038/nrd3842 – volume: 63 start-page: 204 year: 2008 ident: 10.1016/j.neurobiolaging.2013.02.003_bib21 article-title: Beta-amyloid burden is not associated with rates of brain atrophy publication-title: Ann. Neurol. doi: 10.1002/ana.21223 – volume: 30 start-page: 2088 year: 2010 ident: 10.1016/j.neurobiolaging.2013.02.003_bib8 article-title: CSF biomarkers in prediction of cerebral and clinical change in mild cognitive impairment and Alzheimer's disease publication-title: J. Neurosci. doi: 10.1523/JNEUROSCI.3785-09.2010 – volume: 16 start-page: 623 year: 1997 ident: 10.1016/j.neurobiolaging.2013.02.003_bib9 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: 35 start-page: 1857 year: 2004 ident: 10.1016/j.neurobiolaging.2013.02.003_bib18 article-title: Stroke risk profile predicts white matter hyperintensity volume: the Framingham Study publication-title: Stroke doi: 10.1161/01.STR.0000135226.53499.85 – volume: 63 start-page: 665 year: 2006 ident: 10.1016/j.neurobiolaging.2013.02.003_bib30 article-title: Neuropathologic features of amnestic mild cognitive impairment publication-title: Arch. Neurol. doi: 10.1001/archneur.63.5.665 – volume: 31 start-page: 1452 year: 2010 ident: 10.1016/j.neurobiolaging.2013.02.003_bib35 article-title: Reduced sample sizes for atrophy outcomes in Alzheimer's disease trials: baseline adjustment publication-title: Neurobiol. Aging doi: 10.1016/j.neurobiolaging.2010.04.011 – volume: 67 start-page: 2192 year: 2006 ident: 10.1016/j.neurobiolaging.2013.02.003_bib49 article-title: Extent and distribution of white matter hyperintensities in normal aging, MCI, and AD publication-title: Neurology doi: 10.1212/01.wnl.0000249119.95747.1f – volume: 322 start-page: 64 year: 2012 ident: 10.1016/j.neurobiolaging.2013.02.003_bib32 article-title: Methodological challenges in designing dementia prevention trials—the European Dementia Prevention Initiative (EDPI) publication-title: J. Neurol. Sci. doi: 10.1016/j.jns.2012.06.012 – volume: 51 start-page: 1345 year: 2010 ident: 10.1016/j.neurobiolaging.2013.02.003_bib26 article-title: Automated cross-sectional and longitudinal hippocampal volume measurement in mild cognitive impairment and Alzheimer's disease publication-title: Neuroimage doi: 10.1016/j.neuroimage.2010.03.018 – volume: 42 start-page: 2672 year: 2011 ident: 10.1016/j.neurobiolaging.2013.02.003_bib12 article-title: Vascular contributions to cognitive impairment and dementia: a statement for healthcare professionals from the American Heart Association/American Stroke Association publication-title: Stroke doi: 10.1161/STR.0b013e3182299496 – volume: 21 start-page: 291 year: 2010 ident: 10.1016/j.neurobiolaging.2013.02.003_bib23 article-title: Plasma amyloid-beta forms in Alzheimer's disease and non-Alzheimer's disease patients publication-title: J. Alzheimers. Dis. doi: 10.3233/JAD-2010-091501 – volume: 337 start-page: 1488 year: 2012 ident: 10.1016/j.neurobiolaging.2013.02.003_bib40 article-title: Preventing Alzheimer's disease publication-title: Science doi: 10.1126/science.1228541 – volume: 18 start-page: 418 year: 2006 ident: 10.1016/j.neurobiolaging.2013.02.003_bib29 article-title: White matter changes compromise prefrontal cortex function in healthy elderly individuals publication-title: J. Cogn. Neurosci. doi: 10.1162/jocn.2006.18.3.418 – volume: 132 start-page: 1067 year: 2009 ident: 10.1016/j.neurobiolaging.2013.02.003_bib38 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 – volume: 9 start-page: 61 year: 2006 ident: 10.1016/j.neurobiolaging.2013.02.003_bib19 article-title: Clinicopathological analysis of dementia disorders in the elderly–an update publication-title: J. Alzheimers. Dis. doi: 10.3233/JAD-2006-9S308 – volume: 62 start-page: 591 year: 2004 ident: 10.1016/j.neurobiolaging.2013.02.003_bib17 article-title: Comparison of different MRI brain atrophy rate measures with clinical disease progression in AD publication-title: Neurology doi: 10.1212/01.WNL.0000110315.26026.EF – volume: 53 start-page: 15 year: 1997 ident: 10.1016/j.neurobiolaging.2013.02.003_bib10 article-title: Interactive algorithms for the segmentation and quantitation of 3-D MRI brain scans publication-title: Comput Methods Programs Biomed. doi: 10.1016/S0169-2607(97)01803-8 – volume: 31 start-page: 758 year: 2010 ident: 10.1016/j.neurobiolaging.2013.02.003_bib43 article-title: Whole-brain atrophy rate and CSF biomarker levels in MCI and AD: a longitudinal study publication-title: Neurobiol. Aging doi: 10.1016/j.neurobiolaging.2008.06.016 – volume: 50 start-page: 516 year: 2010 ident: 10.1016/j.neurobiolaging.2013.02.003_bib27 article-title: Robust atrophy rate measurement in Alzheimer's disease using multi-site serial MRI: tissue-specific intensity normalization and parameter selection publication-title: Neuroimage doi: 10.1016/j.neuroimage.2009.12.059 – volume: 65 start-page: 119 year: 2005 ident: 10.1016/j.neurobiolaging.2013.02.003_bib37 article-title: Measuring atrophy in Alzheimer disease—A serial MRI study over 6 and 12 months publication-title: Neurology doi: 10.1212/01.wnl.0000167542.89697.0f – volume: 45 start-page: 645 year: 2009 ident: 10.1016/j.neurobiolaging.2013.02.003_bib24 article-title: Alzheimer's disease neuroimaging initiative: a one-year follow up study using tensor-based morphometry correlating degenerative rates, biomarkers and cognition publication-title: Neuroimage doi: 10.1016/j.neuroimage.2009.01.004 – volume: 58 start-page: 643 year: 2001 ident: 10.1016/j.neurobiolaging.2013.02.003_bib6 article-title: Cerebrovascular and brain morphologic correlates of mild cognitive impairment in the National Heart, Lung, and Blood Institute Twin Study publication-title: Arch. Neurol. doi: 10.1001/archneur.58.4.643 – volume: 25 start-page: 59 year: 2008 ident: 10.1016/j.neurobiolaging.2013.02.003_bib44 article-title: Automated and visual scoring methods of cerebral white matter hyperintensities: relation with age and cognitive function publication-title: Cerebrovasc. Dis. doi: 10.1159/000111500 – volume: 77 start-page: 461 year: 2011 ident: 10.1016/j.neurobiolaging.2013.02.003_bib4 article-title: Midlife vascular risk factor exposure accelerates structural brain aging and cognitive decline publication-title: Neurology doi: 10.1212/WNL.0b013e318227b227 – volume: 31 start-page: 1340 year: 2010 ident: 10.1016/j.neurobiolaging.2013.02.003_bib45 article-title: Relations between brain tissue loss, CSF biomarkers, and the ApoE genetic profile: a longitudinal MRI study publication-title: Neurobiol. Aging doi: 10.1016/j.neurobiolaging.2010.04.030 – volume: 71 start-page: 108 year: 2008 ident: 10.1016/j.neurobiolaging.2013.02.003_bib42 article-title: Impact of white matter hyperintensity volume progression on rate of cognitive and motor decline publication-title: Neurology doi: 10.1212/01.wnl.0000316799.86917.37 – volume: 26 start-page: 491 year: 2005 ident: 10.1016/j.neurobiolaging.2013.02.003_bib5 article-title: Measures of brain morphology and infarction in the framingham heart study: establishing what is normal publication-title: Neurobiol. Aging doi: 10.1016/j.neurobiolaging.2004.05.004 – volume: 7 start-page: S62 year: 2011 ident: 10.1016/j.neurobiolaging.2013.02.003_bib33 article-title: Estimation of total intracranial volume: a comparison of methods publication-title: Alzheimers Dement. doi: 10.1016/j.jalz.2011.05.099 – volume: 18 start-page: 645 year: 2009 ident: 10.1016/j.neurobiolaging.2013.02.003_bib1 article-title: Neuropathological correlates of dementia in over-80-year-old brain donors from the population-based Cambridge city over-75s cohort (CC75C) study publication-title: J. Alzheimers Dis. doi: 10.3233/JAD-2009-1182 – volume: 4 start-page: 3 year: 2010 ident: 10.1016/j.neurobiolaging.2013.02.003_bib31 article-title: Alzheimer's prevention initiative: a proposal to evaluate presymptomatic treatments as quickly as possible publication-title: Biomark. Med. doi: 10.2217/bmm.09.91 – volume: 67 start-page: 1370 year: 2010 ident: 10.1016/j.neurobiolaging.2013.02.003_bib3 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 – volume: 72 start-page: 999 year: 2009 ident: 10.1016/j.neurobiolaging.2013.02.003_bib15 article-title: Hippocampal atrophy rates in Alzheimer disease: added value over whole brain volume measures publication-title: Neurology doi: 10.1212/01.wnl.0000344568.09360.31 – volume: 20 start-page: 674 year: 2010 ident: 10.1016/j.neurobiolaging.2013.02.003_bib7 article-title: Volume changes in Alzheimer's disease and mild cognitive impairment: cognitive associations publication-title: Eur. Radiol. doi: 10.1007/s00330-009-1581-5 – volume: 9 start-page: 119 year: 2010 ident: 10.1016/j.neurobiolaging.2013.02.003_bib16 article-title: Hypothetical model of dynamic biomarkers of the Alzheimer's pathological cascade publication-title: Lancet Neurol. doi: 10.1016/S1474-4422(09)70299-6 – volume: 29 start-page: 1031 year: 2006 ident: 10.1016/j.neurobiolaging.2013.02.003_bib46 article-title: Gray matter reduction is correlated with white matter hyperintensity volume: a voxel-based morphometric study in a large epidemiological sample publication-title: Neuroimage doi: 10.1016/j.neuroimage.2005.08.057 – volume: 66 start-page: 23 year: 2006 ident: 10.1016/j.neurobiolaging.2013.02.003_bib14 article-title: Plasma beta-amyloid and white matter lesions in AD, MCI, and cerebral amyloid angiopathy publication-title: Neurology doi: 10.1212/01.wnl.0000191403.95453.6a – volume: 64 start-page: 273 year: 2008 ident: 10.1016/j.neurobiolaging.2013.02.003_bib22 article-title: Classification of white matter lesions on magnetic resonance imaging in elderly persons publication-title: Biol. Psychiatry doi: 10.1016/j.biopsych.2008.03.024 – volume: 55 start-page: 1091 year: 2011 ident: 10.1016/j.neurobiolaging.2013.02.003_bib25 article-title: Brain MAPS: an automated, accurate and robust brain extraction technique using a template library publication-title: Neuroimage doi: 10.1016/j.neuroimage.2010.12.067 – volume: 977 start-page: 9 year: 2002 ident: 10.1016/j.neurobiolaging.2013.02.003_bib47 article-title: Cerebrovascular pathology and dementia in autopsied Honolulu-Asia Aging Study participants publication-title: Ann. N.Y. Acad. Sci. doi: 10.1111/j.1749-6632.2002.tb04794.x – volume: 82 start-page: 126 year: 2011 ident: 10.1016/j.neurobiolaging.2013.02.003_bib13 article-title: Heterogeneity of small vessel disease: a systematic review of MRI and histopathology correlations publication-title: J. Neurol. Neurosurg. Psychiatry doi: 10.1136/jnnp.2009.204685 – volume: 75 start-page: 1070 year: 2010 ident: 10.1016/j.neurobiolaging.2013.02.003_bib48 article-title: Neurodegenerative basis of age-related cognitive decline publication-title: Neurology doi: 10.1212/WNL.0b013e3181f39adc |
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| Snippet | This study assessed relationships among white matter hyperintensities (WMH), cerebrospinal fluid (CSF), Alzheimer's disease (AD) pathology markers, and brain... Abstract This study assessed relationships among white matter hyperintensities (WMH), cerebrospinal fluid (CSF), Alzheimer's disease (AD) pathology markers,... |
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| SubjectTerms | Aged Aging Alzheimer Disease - cerebrospinal fluid Alzheimer Disease - pathology Alzheimer's disease Amyloid beta-Peptides - cerebrospinal fluid Atrophy Biomarkers - cerebrospinal fluid Brain - metabolism Brain - pathology Cerebral Arteries - pathology Cognitive Dysfunction - cerebrospinal fluid Cognitive Dysfunction - pathology Disease Progression Female Functional Neuroimaging Humans Internal Medicine Magnetic Resonance Imaging Male Mild cognitive impairment (MCI) Neurology Normal aging Peptide Fragments - cerebrospinal fluid tau Proteins - cerebrospinal fluid Vascular disease Volumetric MRI |
| Title | Vascular and Alzheimer's disease markers independently predict brain atrophy rate in Alzheimer's Disease Neuroimaging Initiative controls |
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