A Standardized [18F]-FDG-PET Template for Spatial Normalization in Statistical Parametric Mapping of Dementia
[ 18 F]-fluorodeoxyglucose (FDG) Positron Emission Tomography (PET) is a widely used diagnostic tool that can detect and quantify pathophysiology, as assessed through changes in cerebral glucose metabolism. [ 18 F]-FDG PET scans can be analyzed using voxel-based statistical methods such as Statistic...
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Published in | Neuroinformatics (Totowa, N.J.) Vol. 12; no. 4; pp. 575 - 593 |
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Main Authors | , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
Boston
Springer US
01.10.2014
Springer Springer Nature B.V |
Subjects | |
Online Access | Get full text |
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Abstract | [
18
F]-fluorodeoxyglucose (FDG) Positron Emission Tomography (PET) is a widely used diagnostic tool that can detect and quantify pathophysiology, as assessed through changes in cerebral glucose metabolism. [
18
F]-FDG PET scans can be analyzed using voxel-based statistical methods such as Statistical Parametric Mapping (SPM) that provide statistical maps of brain abnormalities in single patients. In order to perform SPM, a “spatial normalization” of an individual’s PET scan is required to match a reference PET template. The PET template currently used for SPM normalization is based on [
15
O]-H
2
O images and does not resemble either the specific metabolic features of [
18
F]-FDG brain scans or the specific morphological characteristics of individual brains affected by neurodegeneration. Thus, our aim was to create a new [
18
F]-FDG PET aging and dementia-specific template for spatial normalization, based on images derived from both age-matched controls and patients. We hypothesized that this template would increase spatial normalization accuracy and thereby preserve crucial information for research and diagnostic purposes. We investigated the statistical sensitivity and registration accuracy of normalization procedures based on the standard and new template—at the single-subject and group level—independently for subjects with Mild Cognitive Impairment (MCI), probable Alzheimer’s Disease (AD), Frontotemporal lobar degeneration (FTLD) and dementia with Lewy bodies (DLB). We found a significant statistical effect of the population-specific FDG template-based normalisation in key anatomical regions for each dementia subtype, suggesting that spatial normalization with the new template provides more accurate estimates of metabolic abnormalities for single-subject and group analysis, and therefore, a more effective diagnostic measure. |
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AbstractList | [^sup 18^F]-fluorodeoxyglucose (FDG) Positron Emission Tomography (PET) is a widely used diagnostic tool that can detect and quantify pathophysiology, as assessed through changes in cerebral glucose metabolism. [^sup 18^F]-FDG PET scans can be analyzed using voxel-based statistical methods such as Statistical Parametric Mapping (SPM) that provide statistical maps of brain abnormalities in single patients. In order to perform SPM, a "spatial normalization" of an individual's PET scan is required to match a reference PET template. The PET template currently used for SPM normalization is based on [^sup 15^O]-H2O images and does not resemble either the specific metabolic features of [^sup 18^F]-FDG brain scans or the specific morphological characteristics of individual brains affected by neurodegeneration. Thus, our aim was to create a new [^sup 18^F]-FDG PET aging and dementia-specific template for spatial normalization, based on images derived from both age-matched controls and patients. We hypothesized that this template would increase spatial normalization accuracy and thereby preserve crucial information for research and diagnostic purposes. We investigated the statistical sensitivity and registration accuracy of normalization procedures based on the standard and new template--at the single-subject and group level--independently for subjects with Mild Cognitive Impairment (MCI), probable Alzheimer's Disease (AD), Frontotemporal lobar degeneration (FTLD) and dementia with Lewy bodies (DLB). We found a significant statistical effect of the population-specific FDG template-based normalisation in key anatomical regions for each dementia subtype, suggesting that spatial normalization with the new template provides more accurate estimates of metabolic abnormalities for single-subject and group analysis, and therefore, a more effective diagnostic measure.[PUBLICATION ABSTRACT] [18F]-fluorodeoxyglucose (FDG) Positron Emission Tomography (PET) is a widely used diagnostic tool that can detect and quantify pathophysiology, as assessed through changes in cerebral glucose metabolism. [18F]-FDG PET scans can be analyzed using voxel-based statistical methods such as Statistical Parametric Mapping (SPM) that provide statistical maps of brain abnormalities in single patients. In order to perform SPM, a "spatial normalization" of an individual's PET scan is required to match a reference PET template. The PET template currently used for SPM normalization is based on [15O]-H2O images and does not resemble either the specific metabolic features of [18F]-FDG brain scans or the specific morphological characteristics of individual brains affected by neurodegeneration. Thus, our aim was to create a new [18F]-FDG PET aging and dementia-specific template for spatial normalization, based on images derived from both age-matched controls and patients. We hypothesized that this template would increase spatial normalization accuracy and thereby preserve crucial information for research and diagnostic purposes. We investigated the statistical sensitivity and registration accuracy of normalization procedures based on the standard and new template-at the single-subject and group level-independently for subjects with Mild Cognitive Impairment (MCI), probable Alzheimer's Disease (AD), Frontotemporal lobar degeneration (FTLD) and dementia with Lewy bodies (DLB). We found a significant statistical effect of the population-specific FDG template-based normalisation in key anatomical regions for each dementia subtype, suggesting that spatial normalization with the new template provides more accurate estimates of metabolic abnormalities for single-subject and group analysis, and therefore, a more effective diagnostic measure. [ super(18)F]-fluorodeoxyglucose (FDG) Positron Emission Tomography (PET) is a widely used diagnostic tool that can detect and quantify pathophysiology, as assessed through changes in cerebral glucose metabolism. [ super(18)F]-FDG PET scans can be analyzed using voxel-based statistical methods such as Statistical Parametric Mapping (SPM) that provide statistical maps of brain abnormalities in single patients. In order to perform SPM, a "spatial normalization" of an individual's PET scan is required to match a reference PET template. The PET template currently used for SPM normalization is based on [ super(15)O]-H sub(2)O images and does not resemble either the specific metabolic features of [ super(18)F]-FDG brain scans or the specific morphological characteristics of individual brains affected by neurodegeneration. Thus, our aim was to create a new [ super(18)F]-FDG PET aging and dementia-specific template for spatial normalization, based on images derived from both age-matched controls and patients. We hypothesized that this template would increase spatial normalization accuracy and thereby preserve crucial information for research and diagnostic purposes. We investigated the statistical sensitivity and registration accuracy of normalization procedures based on the standard and new template-at the single-subject and group level-independently for subjects with Mild Cognitive Impairment (MCI), probable Alzheimer's Disease (AD), Frontotemporal lobar degeneration (FTLD) and dementia with Lewy bodies (DLB). We found a significant statistical effect of the population-specific FDG template-based normalisation in key anatomical regions for each dementia subtype, suggesting that spatial normalization with the new template provides more accurate estimates of metabolic abnormalities for single-subject and group analysis, and therefore, a more effective diagnostic measure. [ 18 F]-fluorodeoxyglucose (FDG) Positron Emission Tomography (PET) is a widely used diagnostic tool that can detect and quantify pathophysiology, as assessed through changes in cerebral glucose metabolism. [ 18 F]-FDG PET scans can be analyzed using voxel-based statistical methods such as Statistical Parametric Mapping (SPM) that provide statistical maps of brain abnormalities in single patients. In order to perform SPM, a “spatial normalization” of an individual’s PET scan is required to match a reference PET template. The PET template currently used for SPM normalization is based on [ 15 O]-H 2 O images and does not resemble either the specific metabolic features of [ 18 F]-FDG brain scans or the specific morphological characteristics of individual brains affected by neurodegeneration. Thus, our aim was to create a new [ 18 F]-FDG PET aging and dementia-specific template for spatial normalization, based on images derived from both age-matched controls and patients. We hypothesized that this template would increase spatial normalization accuracy and thereby preserve crucial information for research and diagnostic purposes. We investigated the statistical sensitivity and registration accuracy of normalization procedures based on the standard and new template—at the single-subject and group level—independently for subjects with Mild Cognitive Impairment (MCI), probable Alzheimer’s Disease (AD), Frontotemporal lobar degeneration (FTLD) and dementia with Lewy bodies (DLB). We found a significant statistical effect of the population-specific FDG template-based normalisation in key anatomical regions for each dementia subtype, suggesting that spatial normalization with the new template provides more accurate estimates of metabolic abnormalities for single-subject and group analysis, and therefore, a more effective diagnostic measure. |
Author | Frisoni, Giovanni Della Rosa, Pasquale Anthony Caroli, Anna Friston, Karl Castiglioni, Isabella Gilardi, Maria Carla Perani, Daniela Cerami, Chiara Prestia, Annapaola Ashburner, John Gallivanone, Francesca |
Author_xml | – sequence: 1 givenname: Pasquale Anthony surname: Della Rosa fullname: Della Rosa, Pasquale Anthony email: pasquale.dellarosa@ibfm.cnr.it organization: Institute of Molecular Bioimaging and Physiology, National Research Council – sequence: 2 givenname: Chiara surname: Cerami fullname: Cerami, Chiara organization: Vita-Salute San Raffaele University, Clinical Neurosciences Department, San Raffaele Hospital, Division of Neuroscience, San Raffaele Scientific Institute – sequence: 3 givenname: Francesca surname: Gallivanone fullname: Gallivanone, Francesca organization: Institute of Molecular Bioimaging and Physiology, National Research Council – sequence: 4 givenname: Annapaola surname: Prestia fullname: Prestia, Annapaola organization: IRCCS Centre San Giovanni di Dio - Fatebenefratelli, Laboratory of Epidemiology and Neuroimaging – sequence: 5 givenname: Anna surname: Caroli fullname: Caroli, Anna organization: Medical Imaging Unit, Bioengineering Department, IRCCS Mario Negri Institute for Pharmacological Research – sequence: 6 givenname: Isabella surname: Castiglioni fullname: Castiglioni, Isabella organization: Institute of Molecular Bioimaging and Physiology, National Research Council – sequence: 7 givenname: Maria Carla surname: Gilardi fullname: Gilardi, Maria Carla organization: Institute of Molecular Bioimaging and Physiology, National Research Council, University of Milan - Bicocca, Department of Health Sciences – sequence: 8 givenname: Giovanni surname: Frisoni fullname: Frisoni, Giovanni organization: IRCCS Centre San Giovanni di Dio - Fatebenefratelli, Laboratory of Epidemiology and Neuroimaging, Department of Psychiatry, Geneva University Hospital and University of Geneva – sequence: 9 givenname: Karl surname: Friston fullname: Friston, Karl organization: Wellcome Trust Centre for Neuroimaging, Institute of Neurology, University College London – sequence: 10 givenname: John surname: Ashburner fullname: Ashburner, John organization: Wellcome Trust Centre for Neuroimaging – sequence: 11 givenname: Daniela surname: Perani fullname: Perani, Daniela email: perani.daniela@hsr.it organization: Vita-Salute San Raffaele University, Nuclear Medicine Unit, San Raffaele Hospital, Division of Neuroscience, San Raffaele Scientific Institute |
BackLink | http://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=28917585$$DView record in Pascal Francis https://www.ncbi.nlm.nih.gov/pubmed/24952892$$D View this record in MEDLINE/PubMed |
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Cites_doi | 10.1016/j.neuroimage.2004.12.034 10.1016/S1474-4422(10)70223-4 10.1016/j.neurobiolaging.2007.06.010 10.1016/j.jalz.2011.03.004 10.1212/01.wnl.0000187889.17253.b1 10.1016/j.neurobiolaging.2012.01.005 10.2967/jnumed.107.045385 10.1016/S1053-8119(03)00346-X 10.1006/nimg.2001.0978 10.1016/j.neuroimage.2007.07.007 10.2967/jnumed.111.094946 10.1212/01.wnl.0000203114.03976.b0 10.1016/S0006-8993(00)02945-0 10.1006/nimg.2001.0786 10.1007/s00259-009-1327-2 10.1016/j.neuroimage.2009.12.056 10.1016/j.neuroimage.2008.08.045 10.1016/j.neuroimage.2005.12.061 10.1212/01.WNL.0000055847.17752.E6 10.1016/j.jalz.2011.03.005 10.1002/hbm.10047 10.1016/j.neuroimage.2003.08.018 10.1016/j.cnr.2004.04.002 10.1111/j.1552-6569.2005.tb00335.x 10.1016/S1053-8119(03)00072-7 10.1001/archneur.58.11.1803 10.1212/WNL.51.6.1546 10.1016/j.neuroimage.2012.03.020 10.1093/brain/awm177 10.1002/ana.410420114 10.1159/000289222 10.1111/j.1365-2796.2004.01380.x 10.1001/archneur.62.11.1728 10.1093/brain/awr179 10.1016/j.neuroimage.2009.01.020 10.1002/mds.23291 10.1016/j.jalz.2011.03.008 10.1002/hbm.460020402 10.1006/nimg.2002.1208 10.1016/j.neuroimage.2006.03.025 10.1006/nimg.1998.0381 10.1002/ana.1133 10.1002/(SICI)1097-0193(1999)7:4<254::AID-HBM4>3.0.CO;2-G 10.1016/j.neuroimage.2008.07.015 10.1016/j.jalz.2011.03.003 10.3233/JAD-2012-129030 10.1109/NSSMIC.1993.373602 |
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References | Teune, Bartels, de Jong, Willemsen, Eshuis, de Vries (CR50) 2010; 25 Bornebroek, Bretelera (CR7) 2004; 3 McKeith, Dickson, Lowe, Emre, O’Brien, Feldman (CR27) 2005; 65 CR39 Caroli, Prestia, Chen, Ayutyanont, Landau, Madison (CR9) 2012; 53 CR38 Foster, Heidebrink, Clark, Jagust, Arnold, Barbas (CR15) 2007; 130 Friston, Holmes, Worsley, Poline, Frith, Frackowiak (CR16) 1994; 2 Winblad, Palmer, Kivipelto, Jelic, Fratiglioni, Wahlund (CR53) 2004; 256 McKhann, Knopman, Chertkow, Hyman, Jack, Kawas, Klunk (CR29) 2011; 7 Markiewicz, Matthews, Declerck, Herholz (CR25) 2009; 46 Sestini, Castagnoli, Mansi (CR45) 2010; 37 Chételat, Desgranges, de la Sayette, Viader, Eustache, Baron (CR10) 2003; 60 Magistretti (CR24) 2000; 886 Salmon, Kerrouche, Perani, Lekeu, Holthoff, Beuthien- Baumann (CR44) 2009; 30 Ashburner, Friston (CR4) 1999; 7 Signorini, Paulesu, Friston, Perani, Colleluori, Lucignani (CR46) 1999; 9 Teipel, Sabri, Grothe, Barthel, Prvulovic, Buerger (CR49) 2013; 33 Ishii, Willoch, Minoshima, Drzezga, Ficaro, Cross (CR20) 2001; 42 Minoshima, Giordani, Berent, Frey, Foster, Kuhl (CR31) 1997; 42 CR48 Jack, Albert, Knopman, McKhann, Sperling, Carrillo (CR21) 2011; 7 Salmon, Garraux, Delbeuck, Collette, Kalbe, Zuendorf (CR43) 2003; 20 Crivello, Schormann, Tzourio-Mazoyer, Roland, Zilles, Mazoyer (CR11) 2002; 16 Mosconi, Tsui, Herholz, Pupi, Drzezga, Lucignani (CR35) 2008; 49 Eickhoff, Stephan, Mohlberg, Grefkes, Fink, Amunts (CR13) 2005; 25 Spence, Carmack, Gunst, Schucany, Woodward, Haley (CR47) 2006; 32 Albert, DeKosky, Dickson, Dubois, Feldman, Fox (CR1) 2011; 7 Wenzel, Young, Wilke, Apostolova, Arlt, Jahn (CR52) 2010; 50 CR14 Rascovsky, Hodges, Knopman, Mendez, Kramer, Neuhaus (CR40) 2011; 134 Minoshima, Foster, Sima, Frey, Albin, Kuhl (CR32) 2001; 50 Neary, Snowden, Gustafson, Passant, Stuss, Black (CR36) 1998; 51 Buchert, Wilke, Chakrabarti, Martin, Brenner, Mester, Clausen (CR8) 2005; 15 McKhann, Albert, Grossman, Miller, Dickson, Trojanowski (CR28) 2001; 58 Yakushev, Hammers, Fellgiebel, Schmidtmann, Scheurich, Buchholz (CR54) 2009; 44 Minoshima, Frey, Koeppe, Foster, Kuhl (CR30) 1995; 36 Herholz, Salmon, Perani, Baron, Holthoff, Frölich, Schönknecht (CR19) 2002; 17 Kherif, Poline, Mériaux, Benali, Flandin, Brett (CR22) 2003; 20 Bartenstein, Asenbaum, Catafau, Halldin, Pilowski, Pupi (CR5) 2002; 29 Krishnan, Slavin, Tran, Doraiswamy, Petrella (CR23) 2006; 31 Morbelli, Drzezga, Perneczky, Frisoni, Caroli, van Berckel (CR33) 2012; 33 Berti, Osorio, Mosconi, Li, De Santi, de Leon (CR6) 2010; 7 Ridgway, Omar, Ourselin, Hill, Warren, Fox (CR41) 2009; 44 Anchisi, Borroni, Franceschi, Kerrouche, Kalbe, Beuthien-Beumann, Cappa (CR2) 2005; 62 Dubois, Feldman, Jacova, Cummings, Dekosky, Barberger-Gateau (CR12) 2010; 9 Mori, Ikeda, Fukuhara, Nestor, Tanabe (CR34) 2006; 66 Patterson, Lilien, Takalkar, Pinkston (CR37) 2011 Martino, Guzman de Villoria, Lacalle-Aurioles, Olazaran, Cruz, Navarro (CR26) 2013 Gispert, Pascau, Reig, Martinez-Lazaro, Molina, Garcia-Barreno (CR17) 2003; 19 Ashburner (CR3) 2007; 38 Rorden, Bonilha, Fridriksson, Bender, Karnath (CR42) 2012; 61 Good, Johnsrude, Ashburner, Henson, Friston, Frackowiak (CR18) 2001; 14 Tzourio-Mazoyer, Landeau, Papathanassiou, Crivello, Etard, Delcroix (CR51) 2002; 15 N Tzourio-Mazoyer (9235_CR51) 2002; 15 T Mori (9235_CR34) 2006; 66 B Dubois (9235_CR12) 2010; 9 S Krishnan (9235_CR23) 2006; 31 GM McKhann (9235_CR28) 2001; 58 S Minoshima (9235_CR30) 1995; 36 M Signorini (9235_CR46) 1999; 9 ME Martino (9235_CR26) 2013 F Crivello (9235_CR11) 2002; 16 P Bartenstein (9235_CR5) 2002; 29 E Salmon (9235_CR43) 2003; 20 F Wenzel (9235_CR52) 2010; 50 J Ashburner (9235_CR3) 2007; 38 F Kherif (9235_CR22) 2003; 20 M Bornebroek (9235_CR7) 2004; 3 G Ridgway (9235_CR41) 2009; 44 D Anchisi (9235_CR2) 2005; 62 MS Albert (9235_CR1) 2011; 7 CD Good (9235_CR18) 2001; 14 IG McKeith (9235_CR27) 2005; 65 S Minoshima (9235_CR31) 1997; 42 G Chételat (9235_CR10) 2003; 60 CR Jack Jr (9235_CR21) 2011; 7 9235_CR14 S Morbelli (9235_CR33) 2012; 33 S Sestini (9235_CR45) 2010; 37 JS Spence (9235_CR47) 2006; 32 JD Gispert (9235_CR17) 2003; 19 D Neary (9235_CR36) 1998; 51 KJ Friston (9235_CR16) 1994; 2 S Minoshima (9235_CR32) 2001; 50 JC Patterson (9235_CR37) 2011 E Salmon (9235_CR44) 2009; 30 K Herholz (9235_CR19) 2002; 17 SJ Teipel (9235_CR49) 2013; 33 V Berti (9235_CR6) 2010; 7 K Ishii (9235_CR20) 2001; 42 J Ashburner (9235_CR4) 1999; 7 9235_CR48 GM McKhann (9235_CR29) 2011; 7 LK Teune (9235_CR50) 2010; 25 I Yakushev (9235_CR54) 2009; 44 A Caroli (9235_CR9) 2012; 53 C Rorden (9235_CR42) 2012; 61 R Buchert (9235_CR8) 2005; 15 B Winblad (9235_CR53) 2004; 256 S Eickhoff (9235_CR13) 2005; 25 NL Foster (9235_CR15) 2007; 130 L Mosconi (9235_CR35) 2008; 49 PJ Magistretti (9235_CR24) 2000; 886 PJ Markiewicz (9235_CR25) 2009; 46 K Rascovsky (9235_CR40) 2011; 134 9235_CR38 9235_CR39 20885966 - Int J Alzheimers Dis. 2010 Sep 20;2011:null 7790950 - J Nucl Med. 1995 Jul;36(7):1238-48 22343502 - J Nucl Med. 2012 Apr;53(4):592-600 11337540 - J Nucl Med. 2001 Apr;42(4):548-57 11708987 - Arch Neurol. 2001 Nov;58(11):1803-9 11558792 - Ann Neurol. 2001 Sep;50(3):358-65 12112765 - Hum Brain Mapp. 2002 Aug;16(4):228-50 20197691 - Neurodegener Dis. 2010;7(1-3):131-5 14527604 - Neuroimage. 2003 Sep;20(1):435-40 22735677 - J Alzheimers Dis. 2013;33 Suppl 1:S329-47 18848632 - Neuroimage. 2009 Jan 1;44(1):99-111 17651869 - Neurobiol Aging. 2009 Feb;30(2):186-97 9855500 - Neurology. 1998 Dec;51(6):1546-54 11525331 - Neuroimage. 2001 Jul;14(1 Pt 1):21-36 9225689 - Ann Neurol. 1997 Jul;42(1):85-94 23585159 - Ann Nucl Med. 2013 Aug;27(7):600-9 12707450 - Neurology. 2003 Apr 22;60(8):1374-7 11119692 - Brain Res. 2000 Dec 15;886(1-2):108-112 18691659 - Neuroimage. 2009 Jan 1;44(1):43-50 10408769 - Hum Brain Mapp. 1999;7(4):254-66 19385015 - Neuroimage. 2009 Jun;46(2):472-85 12880791 - Neuroimage. 2003 Jul;19(3):601-12 9918728 - Neuroimage. 1999 Jan;9(1):63-80 17704526 - Brain. 2007 Oct;130(Pt 10):2616-35 16286547 - Arch Neurol. 2005 Nov;62(11):1728-33 22440645 - Neuroimage. 2012 Jul 16;61(4):957-65 21514247 - Alzheimers Dement. 2011 May;7(3):257-62 22365486 - Neurobiol Aging. 2012 Nov;33(11):2533-50 14683722 - Neuroimage. 2003 Dec;20(4):2197-208 20934914 - Lancet Neurol. 2010 Nov;9(11):1118-27 16254400 - J Neuroimaging. 2005 Oct;15(4):348-55 21514250 - Alzheimers Dement. 2011 May;7(3):263-9 18287270 - J Nucl Med. 2008 Mar;49(3):390-8 16567718 - Neurology. 2006 Mar 28;66(6):935-7 12482085 - Neuroimage. 2002 Sep;17 (1):302-16 16237129 - Neurology. 2005 Dec 27;65(12):1863-72 21514248 - Alzheimers Dement. 2011 May;7(3):280-92 16651010 - Neuroimage. 2006 Aug 1;32(1):49-53 21514249 - Alzheimers Dement. 2011 May;7(3):270-9 16513371 - Neuroimage. 2006 Jun;31(2):560-71 12436498 - Eur J Nucl Med Mol Imaging. 2002 Oct;29(10 ):BP43-8 20033155 - Eur J Nucl Med Mol Imaging. 2010 May;37(5):913-6 20669302 - Mov Disord. 2010 Oct 30;25(14 ):2395-404 20053378 - Neuroimage. 2010 Apr 15;50(3):994-1003 21810890 - Brain. 2011 Sep;134(Pt 9):2456-77 17761438 - Neuroimage. 2007 Oct 15;38(1):95-113 15324367 - J Intern Med. 2004 Sep;256(3):240-6 15850749 - Neuroimage. 2005 May 1;25(4):1325-35 11771995 - Neuroimage. 2002 Jan;15(1):273-89 |
References_xml | – volume: 42 start-page: 548 issue: 4 year: 2001 end-page: 557 ident: CR20 article-title: Statistical brain mapping of 18F-FDG PET in Alzheimer’s disease: validation of anatomic standardization for atrophied brains publication-title: Journal of Nuclear Medicine – volume: 25 start-page: 1325 issue: 4 year: 2005 end-page: 1335 ident: CR13 article-title: A new SPM toolbox for combining probabilistic cytoarchitectonic maps and functional imaging data publication-title: NeuroImage doi: 10.1016/j.neuroimage.2004.12.034 – volume: 9 start-page: 1118 issue: 11 year: 2010 end-page: 1127 ident: CR12 article-title: Revising the definition of Alzheimer’s disease: a new lexicon publication-title: Lancet Neurology doi: 10.1016/S1474-4422(10)70223-4 – volume: 30 start-page: 186 issue: 2 year: 2009 end-page: 197 ident: CR44 article-title: On the multivariate nature of brain metabolic impairment in Alzheimer’s disease publication-title: Neurobiology of Aging doi: 10.1016/j.neurobiolaging.2007.06.010 – volume: 7 start-page: 257 issue: 3 year: 2011 end-page: 262 ident: CR21 article-title: Introduction to the recommendations from the National Institute on Aging–Alzheimer’s Association workgroups on diagnostic guidelines for Alzheimer’s disease publication-title: Alzheimer’s & Dementia doi: 10.1016/j.jalz.2011.03.004 – volume: 65 start-page: 1863 issue: 12 year: 2005 end-page: 1872 ident: CR27 article-title: Diagnosis and management of dementia with Lewy bodies: third report of the DLB Consortium publication-title: Neurology doi: 10.1212/01.wnl.0000187889.17253.b1 – ident: CR39 – volume: 33 start-page: 2533 issue: 11 year: 2012 end-page: 2550 ident: CR33 article-title: Resting metabolic connectivity in prodromal Alzheimer’s disease. A European Alzheimer Disease Consortium (EADC) project publication-title: Neurobiology of Aging doi: 10.1016/j.neurobiolaging.2012.01.005 – volume: 49 start-page: 390 issue: 3 year: 2008 end-page: 398 ident: CR35 article-title: Multicenter standardized 18F-FDG PET diagnosis of mild cognitive impairment, Alzheimer’s disease, and other dementias publication-title: Journal of Nuclear Medicine doi: 10.2967/jnumed.107.045385 – volume: 20 start-page: 435 issue: 1 year: 2003 end-page: 440 ident: CR43 article-title: Predominant ventromedial frontopolar metabolic impairment in frontotemporal dementia publication-title: NeuroImage doi: 10.1016/S1053-8119(03)00346-X – volume: 15 start-page: 273 issue: 1 year: 2002 end-page: 289 ident: CR51 article-title: Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI single-subject brain publication-title: NeuroImage doi: 10.1006/nimg.2001.0978 – volume: 38 start-page: 95 issue: 1 year: 2007 end-page: 113 ident: CR3 article-title: A fast diffeomorphic image registration algorithm publication-title: NeuroImage doi: 10.1016/j.neuroimage.2007.07.007 – volume: 53 start-page: 592 issue: 4 year: 2012 end-page: 600 ident: CR9 article-title: Summary metrics to assess Alzheimer disease-related hypometabolic pattern with 18F-FDG PET: head-to-head comparison publication-title: Journal of Nuclear Medicine doi: 10.2967/jnumed.111.094946 – volume: 66 start-page: 935 issue: 6 year: 2006 end-page: 937 ident: CR34 article-title: Correlation of visual hallucinations with occipital rCBF changes by donepezil in DLB publication-title: Neurology doi: 10.1212/01.wnl.0000203114.03976.b0 – volume: 886 start-page: 108 issue: 1–2 year: 2000 end-page: 112 ident: CR24 article-title: Cellular bases of functional brain imaging: insights from neuron-glia metabolic coupling publication-title: Brain Research doi: 10.1016/S0006-8993(00)02945-0 – volume: 14 start-page: 21 issue: 1 Pt1 year: 2001 end-page: 36 ident: CR18 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: 37 start-page: 913 issue: 5 year: 2010 end-page: 916 ident: CR45 article-title: The new FDG brain revolution: the neurovascular unit and the default network publication-title: European Journal of Nuclear Medicine and Molecular Imaging doi: 10.1007/s00259-009-1327-2 – volume: 50 start-page: 994 issue: 3 year: 2010 end-page: 1003 ident: CR52 article-title: B-spline-based stereotactical normalization of brain FDG PET scans in suspected neurodegenerative disease: impact on voxel-based statistical single-subject analysis publication-title: NeuroImage doi: 10.1016/j.neuroimage.2009.12.056 – volume: 44 start-page: 99 issue: 1 year: 2009 end-page: 111 ident: CR41 article-title: Issues with threshold masking in voxel-based morphometry of atrophied brains publication-title: NeuroImage doi: 10.1016/j.neuroimage.2008.08.045 – volume: 31 start-page: 560 issue: 2 year: 2006 end-page: 571 ident: CR23 article-title: Accuracy of spatial normalization of the hippocampus: implications for fMRI research in memory disorders publication-title: NeuroImage doi: 10.1016/j.neuroimage.2005.12.061 – volume: 60 start-page: 1374 issue: 8 year: 2003 end-page: 1377 ident: CR10 article-title: Mild cognitive impairment: Can FDG-PET predict who is to rapidly convert to Alzheimer’s disease? publication-title: Neurology doi: 10.1212/01.WNL.0000055847.17752.E6 – volume: 29 start-page: BP43 issue: 10 year: 2002 end-page: BP48 ident: CR5 article-title: European Association of Nuclear Medicine procedure guidelines for brain imaging using [(18)F]FDG publication-title: European Journal of Nuclear Medicine and Molecular Imaging – volume: 7 start-page: 263 issue: 3 year: 2011 end-page: 269 ident: CR29 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: Alzheimer’s & Dementia doi: 10.1016/j.jalz.2011.03.005 – volume: 16 start-page: 228 issue: 4 year: 2002 end-page: 250 ident: CR11 article-title: Comparison of spatial normalization procedures and their impact on functional maps publication-title: Human Brain Mapping doi: 10.1002/hbm.10047 – volume: 20 start-page: 2197 issue: 4 year: 2003 end-page: 2208 ident: CR22 article-title: Group analysis in functional neuroimaging: selecting subjects using similarity measures publication-title: NeuroImage doi: 10.1016/j.neuroimage.2003.08.018 – volume: 3 start-page: 349 year: 2004 end-page: 361 ident: CR7 article-title: Epidemiology of non-AD dementia publication-title: Clinical Neuroscience Reserach doi: 10.1016/j.cnr.2004.04.002 – volume: 15 start-page: 348 year: 2005 end-page: 355 ident: CR8 article-title: Adjusted scaling of FDG positron emission tomography images for statistical evaluation in patients with suspected Alzheimer’s disease publication-title: Journal of Neuroimaging doi: 10.1111/j.1552-6569.2005.tb00335.x – volume: 19 start-page: 601 issue: 3 year: 2003 end-page: 612 ident: CR17 article-title: Influence of the normalization template on the outcome of statistical parametric mapping of PET scans publication-title: NeuroImage doi: 10.1016/S1053-8119(03)00072-7 – year: 2011 ident: CR37 article-title: Early detection of brain pathology suggestive of early AD using objective evaluation of FDG-PET scans publication-title: International Journal of Alzheimer’s Disease – volume: 58 start-page: 1803 year: 2001 end-page: 1809 ident: CR28 article-title: Clinical and pathological diagnosis of frontotemporal dementia: report of the Work Group on Frontotemporal Dementia and Pick’s Disease publication-title: Archives of Neurology doi: 10.1001/archneur.58.11.1803 – ident: CR14 – volume: 51 start-page: 1546 year: 1998 end-page: 1554 ident: CR36 article-title: Frontotemporal lobar degeneration: a consensus on clinical diagnostic criteria publication-title: Neurology doi: 10.1212/WNL.51.6.1546 – volume: 61 start-page: 957 issue: 4 year: 2012 end-page: 965 ident: CR42 article-title: Age-specific CT and MRI templates for spatial normalization publication-title: NeuroImage doi: 10.1016/j.neuroimage.2012.03.020 – volume: 130 start-page: 2616 issue: Pt10 year: 2007 end-page: 2635 ident: CR15 article-title: FDG-PET improves accuracy in distinguishing frontotemporal dementia and Alzheimer’s disease publication-title: Brain doi: 10.1093/brain/awm177 – volume: 42 start-page: 85 issue: 1 year: 1997 end-page: 94 ident: CR31 article-title: Metabolic reduction in the posterior cingulate cortex in very early Alzheimer’s disease publication-title: Annals of Neurology doi: 10.1002/ana.410420114 – volume: 7 start-page: 131 issue: 1–3 year: 2010 end-page: 135 ident: CR6 article-title: Early detection of Alzheimer’s disease with PET imaging publication-title: Neurodegenerative Diseases doi: 10.1159/000289222 – volume: 36 start-page: 1238 issue: 7 year: 1995 end-page: 1248 ident: CR30 article-title: A diagnostic approach in Alzheimer’s disease using three-dimensional stereotactic surface projections of fluorine-18-FDG PET publication-title: Journal of Nuclear Medicine – volume: 256 start-page: 240 issue: 3 year: 2004 end-page: 246 ident: CR53 article-title: Mild cognitive impairment-beyond controversies, towards a consensus: report of the International Working Group on Mild Cognitive Impairment publication-title: Journal of Internal Medicine doi: 10.1111/j.1365-2796.2004.01380.x – volume: 62 start-page: 1728 issue: 11 year: 2005 end-page: 1733 ident: CR2 article-title: Heterogeneity of brain glucose metaboism in mild cognitive impairment and clinical progression to Alzheimer disease publication-title: Archives of Neurology doi: 10.1001/archneur.62.11.1728 – volume: 134 start-page: 2456 issue: Pt9 year: 2011 end-page: 2477 ident: CR40 article-title: Sensitivity of revised diagnostic criteria for the behavioural variant of frontotemporal dementia publication-title: Brain doi: 10.1093/brain/awr179 – ident: CR48 – volume: 46 start-page: 472 issue: 2 year: 2009 end-page: 485 ident: CR25 article-title: Robustness of multivariate image analysis assessed by resampling techniques and applied to FDG-PET scans of patients with Alzheimer’s disease publication-title: NeuroImage doi: 10.1016/j.neuroimage.2009.01.020 – ident: CR38 – year: 2013 ident: CR26 article-title: Comparison of different methods of spatial normalization of FDG-PET brain images in the voxel-wise analysis of MCI patients and controls publication-title: Annals of Nuclear Medicine – volume: 25 start-page: 2395 issue: 14 year: 2010 end-page: 2404 ident: CR50 article-title: Typical cerebral metabolic patterns in neurodegenerative brain diseases publication-title: Movement Disorders doi: 10.1002/mds.23291 – volume: 7 start-page: 270 issue: 3 year: 2011 end-page: 279 ident: CR1 article-title: The diagnosis of mild cognitive impairment 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: Alzheimer’s & Dementia doi: 10.1016/j.jalz.2011.03.008 – volume: 2 start-page: 189 issue: 4 year: 1994 end-page: 210 ident: CR16 article-title: Statistical parametric maps in functional imaging: a general linear approach publication-title: Human Brain Mapping doi: 10.1002/hbm.460020402 – volume: 17 start-page: 302 issue: 1 year: 2002 end-page: 316 ident: CR19 article-title: Discrimination between Alzheimer dementia and controls by automated analysis of multicenter FDG PET publication-title: NeuroImage doi: 10.1006/nimg.2002.1208 – volume: 32 start-page: 49 issue: 1 year: 2006 end-page: 53 ident: CR47 article-title: Using a white matter reference to remove the dependency of global signal on experimental conditions in SPECT analyses publication-title: NeuroImage doi: 10.1016/j.neuroimage.2006.03.025 – volume: 9 start-page: 63 issue: 1 year: 1999 end-page: 80 ident: CR46 article-title: Rapid assessment of regional cerebral metabolic abnormalities in single subjects with quantitative and nonquantitative [18F]FDG PET: a clinical validation of statistical parametric mapping publication-title: NeuroImage doi: 10.1006/nimg.1998.0381 – volume: 50 start-page: 358 issue: 3 year: 2001 end-page: 365 ident: CR32 article-title: Alzheimer’s disease versus dementia with Lewy bodies: cerebral metabolic distinction with autopsy confirmation publication-title: Annals of Neurology doi: 10.1002/ana.1133 – volume: 7 start-page: 254 issue: 4 year: 1999 end-page: 266 ident: CR4 article-title: Nonlinear spatial normalization using basis functions publication-title: Human Brain Mapping doi: 10.1002/(SICI)1097-0193(1999)7:4<254::AID-HBM4>3.0.CO;2-G – volume: 44 start-page: 43 issue: 1 year: 2009 end-page: 50 ident: CR54 article-title: SPM-based count normalization provides excellent discrimination of mild Alzheimer’s disease and amnesic mild cognitive impairment from healthy aging publication-title: NeuroImage doi: 10.1016/j.neuroimage.2008.07.015 – volume: 33 start-page: S329 issue: S1 year: 2013 end-page: S347 ident: CR49 article-title: Perspectives for multimodal neurochemical and imaging biomarkers in Alzheimer’s disease publication-title: Journal of Alzheimer’s Disease – volume: 58 start-page: 1803 year: 2001 ident: 9235_CR28 publication-title: Archives of Neurology doi: 10.1001/archneur.58.11.1803 – volume: 7 start-page: 254 issue: 4 year: 1999 ident: 9235_CR4 publication-title: Human Brain Mapping doi: 10.1002/(SICI)1097-0193(1999)7:4<254::AID-HBM4>3.0.CO;2-G – ident: 9235_CR48 doi: 10.1016/j.jalz.2011.03.003 – volume: 25 start-page: 2395 issue: 14 year: 2010 ident: 9235_CR50 publication-title: Movement Disorders doi: 10.1002/mds.23291 – volume: 49 start-page: 390 issue: 3 year: 2008 ident: 9235_CR35 publication-title: Journal of Nuclear Medicine doi: 10.2967/jnumed.107.045385 – volume: 33 start-page: S329 issue: S1 year: 2013 ident: 9235_CR49 publication-title: Journal of Alzheimer’s Disease doi: 10.3233/JAD-2012-129030 – volume: 38 start-page: 95 issue: 1 year: 2007 ident: 9235_CR3 publication-title: NeuroImage doi: 10.1016/j.neuroimage.2007.07.007 – volume: 66 start-page: 935 issue: 6 year: 2006 ident: 9235_CR34 publication-title: Neurology doi: 10.1212/01.wnl.0000203114.03976.b0 – ident: 9235_CR39 – volume: 53 start-page: 592 issue: 4 year: 2012 ident: 9235_CR9 publication-title: Journal of Nuclear Medicine doi: 10.2967/jnumed.111.094946 – volume: 33 start-page: 2533 issue: 11 year: 2012 ident: 9235_CR33 publication-title: Neurobiology of Aging doi: 10.1016/j.neurobiolaging.2012.01.005 – volume: 42 start-page: 85 issue: 1 year: 1997 ident: 9235_CR31 publication-title: Annals of Neurology doi: 10.1002/ana.410420114 – volume: 7 start-page: 257 issue: 3 year: 2011 ident: 9235_CR21 publication-title: Alzheimer’s & Dementia doi: 10.1016/j.jalz.2011.03.004 – volume: 36 start-page: 1238 issue: 7 year: 1995 ident: 9235_CR30 publication-title: Journal of Nuclear Medicine – volume: 130 start-page: 2616 issue: Pt10 year: 2007 ident: 9235_CR15 publication-title: Brain doi: 10.1093/brain/awm177 – volume: 15 start-page: 348 year: 2005 ident: 9235_CR8 publication-title: Journal of Neuroimaging doi: 10.1111/j.1552-6569.2005.tb00335.x – volume: 42 start-page: 548 issue: 4 year: 2001 ident: 9235_CR20 publication-title: Journal of Nuclear Medicine – volume: 50 start-page: 358 issue: 3 year: 2001 ident: 9235_CR32 publication-title: Annals of Neurology doi: 10.1002/ana.1133 – volume: 20 start-page: 435 issue: 1 year: 2003 ident: 9235_CR43 publication-title: NeuroImage doi: 10.1016/S1053-8119(03)00346-X – volume: 134 start-page: 2456 issue: Pt9 year: 2011 ident: 9235_CR40 publication-title: Brain doi: 10.1093/brain/awr179 – volume: 9 start-page: 63 issue: 1 year: 1999 ident: 9235_CR46 publication-title: NeuroImage doi: 10.1006/nimg.1998.0381 – ident: 9235_CR14 doi: 10.1109/NSSMIC.1993.373602 – volume: 31 start-page: 560 issue: 2 year: 2006 ident: 9235_CR23 publication-title: NeuroImage doi: 10.1016/j.neuroimage.2005.12.061 – volume: 46 start-page: 472 issue: 2 year: 2009 ident: 9235_CR25 publication-title: NeuroImage doi: 10.1016/j.neuroimage.2009.01.020 – volume: 15 start-page: 273 issue: 1 year: 2002 ident: 9235_CR51 publication-title: NeuroImage doi: 10.1006/nimg.2001.0978 – volume: 256 start-page: 240 issue: 3 year: 2004 ident: 9235_CR53 publication-title: Journal of Internal Medicine doi: 10.1111/j.1365-2796.2004.01380.x – volume: 3 start-page: 349 year: 2004 ident: 9235_CR7 publication-title: Clinical Neuroscience Reserach doi: 10.1016/j.cnr.2004.04.002 – volume: 17 start-page: 302 issue: 1 year: 2002 ident: 9235_CR19 publication-title: NeuroImage doi: 10.1006/nimg.2002.1208 – volume: 65 start-page: 1863 issue: 12 year: 2005 ident: 9235_CR27 publication-title: Neurology doi: 10.1212/01.wnl.0000187889.17253.b1 – volume: 32 start-page: 49 issue: 1 year: 2006 ident: 9235_CR47 publication-title: NeuroImage doi: 10.1016/j.neuroimage.2006.03.025 – volume: 61 start-page: 957 issue: 4 year: 2012 ident: 9235_CR42 publication-title: NeuroImage doi: 10.1016/j.neuroimage.2012.03.020 – volume: 50 start-page: 994 issue: 3 year: 2010 ident: 9235_CR52 publication-title: NeuroImage doi: 10.1016/j.neuroimage.2009.12.056 – volume: 60 start-page: 1374 issue: 8 year: 2003 ident: 9235_CR10 publication-title: Neurology doi: 10.1212/01.WNL.0000055847.17752.E6 – volume: 16 start-page: 228 issue: 4 year: 2002 ident: 9235_CR11 publication-title: Human Brain Mapping doi: 10.1002/hbm.10047 – volume: 2 start-page: 189 issue: 4 year: 1994 ident: 9235_CR16 publication-title: Human Brain Mapping doi: 10.1002/hbm.460020402 – volume: 20 start-page: 2197 issue: 4 year: 2003 ident: 9235_CR22 publication-title: NeuroImage doi: 10.1016/j.neuroimage.2003.08.018 – volume: 30 start-page: 186 issue: 2 year: 2009 ident: 9235_CR44 publication-title: Neurobiology of Aging doi: 10.1016/j.neurobiolaging.2007.06.010 – volume: 14 start-page: 21 issue: 1 Pt1 year: 2001 ident: 9235_CR18 publication-title: NeuroImage doi: 10.1006/nimg.2001.0786 – volume: 886 start-page: 108 issue: 1–2 year: 2000 ident: 9235_CR24 publication-title: Brain Research doi: 10.1016/S0006-8993(00)02945-0 – volume: 44 start-page: 99 issue: 1 year: 2009 ident: 9235_CR41 publication-title: NeuroImage doi: 10.1016/j.neuroimage.2008.08.045 – volume: 7 start-page: 263 issue: 3 year: 2011 ident: 9235_CR29 publication-title: Alzheimer’s & Dementia doi: 10.1016/j.jalz.2011.03.005 – volume: 7 start-page: 270 issue: 3 year: 2011 ident: 9235_CR1 publication-title: Alzheimer’s & Dementia doi: 10.1016/j.jalz.2011.03.008 – volume: 25 start-page: 1325 issue: 4 year: 2005 ident: 9235_CR13 publication-title: NeuroImage doi: 10.1016/j.neuroimage.2004.12.034 – volume: 9 start-page: 1118 issue: 11 year: 2010 ident: 9235_CR12 publication-title: Lancet Neurology doi: 10.1016/S1474-4422(10)70223-4 – ident: 9235_CR38 – year: 2011 ident: 9235_CR37 publication-title: International Journal of Alzheimer’s Disease – volume: 37 start-page: 913 issue: 5 year: 2010 ident: 9235_CR45 publication-title: European Journal of Nuclear Medicine and Molecular Imaging doi: 10.1007/s00259-009-1327-2 – volume: 19 start-page: 601 issue: 3 year: 2003 ident: 9235_CR17 publication-title: NeuroImage doi: 10.1016/S1053-8119(03)00072-7 – volume: 7 start-page: 131 issue: 1–3 year: 2010 ident: 9235_CR6 publication-title: Neurodegenerative Diseases doi: 10.1159/000289222 – volume: 29 start-page: BP43 issue: 10 year: 2002 ident: 9235_CR5 publication-title: European Journal of Nuclear Medicine and Molecular Imaging – volume: 51 start-page: 1546 year: 1998 ident: 9235_CR36 publication-title: Neurology doi: 10.1212/WNL.51.6.1546 – volume: 44 start-page: 43 issue: 1 year: 2009 ident: 9235_CR54 publication-title: NeuroImage doi: 10.1016/j.neuroimage.2008.07.015 – volume: 62 start-page: 1728 issue: 11 year: 2005 ident: 9235_CR2 publication-title: Archives of Neurology doi: 10.1001/archneur.62.11.1728 – year: 2013 ident: 9235_CR26 publication-title: Annals of Nuclear Medicine – reference: 11771995 - Neuroimage. 2002 Jan;15(1):273-89 – reference: 16254400 - J Neuroimaging. 2005 Oct;15(4):348-55 – reference: 21514248 - Alzheimers Dement. 2011 May;7(3):280-92 – reference: 20669302 - Mov Disord. 2010 Oct 30;25(14 ):2395-404 – reference: 22735677 - J Alzheimers Dis. 2013;33 Suppl 1:S329-47 – reference: 16567718 - Neurology. 2006 Mar 28;66(6):935-7 – reference: 17704526 - Brain. 2007 Oct;130(Pt 10):2616-35 – reference: 14683722 - Neuroimage. 2003 Dec;20(4):2197-208 – reference: 20033155 - Eur J Nucl Med Mol Imaging. 2010 May;37(5):913-6 – reference: 21514247 - Alzheimers Dement. 2011 May;7(3):257-62 – reference: 18287270 - J Nucl Med. 2008 Mar;49(3):390-8 – reference: 21514249 - Alzheimers Dement. 2011 May;7(3):270-9 – reference: 17761438 - Neuroimage. 2007 Oct 15;38(1):95-113 – reference: 16651010 - Neuroimage. 2006 Aug 1;32(1):49-53 – reference: 16237129 - Neurology. 2005 Dec 27;65(12):1863-72 – reference: 22365486 - Neurobiol Aging. 2012 Nov;33(11):2533-50 – reference: 20197691 - Neurodegener Dis. 2010;7(1-3):131-5 – reference: 9855500 - Neurology. 1998 Dec;51(6):1546-54 – reference: 18848632 - Neuroimage. 2009 Jan 1;44(1):99-111 – reference: 9918728 - Neuroimage. 1999 Jan;9(1):63-80 – reference: 21514250 - Alzheimers Dement. 2011 May;7(3):263-9 – reference: 11708987 - Arch Neurol. 2001 Nov;58(11):1803-9 – reference: 20934914 - Lancet Neurol. 2010 Nov;9(11):1118-27 – reference: 20053378 - Neuroimage. 2010 Apr 15;50(3):994-1003 – reference: 7790950 - J Nucl Med. 1995 Jul;36(7):1238-48 – reference: 20885966 - Int J Alzheimers Dis. 2010 Sep 20;2011:null – reference: 12880791 - Neuroimage. 2003 Jul;19(3):601-12 – reference: 15324367 - J Intern Med. 2004 Sep;256(3):240-6 – reference: 15850749 - Neuroimage. 2005 May 1;25(4):1325-35 – reference: 10408769 - Hum Brain Mapp. 1999;7(4):254-66 – reference: 19385015 - Neuroimage. 2009 Jun;46(2):472-85 – reference: 22343502 - J Nucl Med. 2012 Apr;53(4):592-600 – reference: 12707450 - Neurology. 2003 Apr 22;60(8):1374-7 – reference: 21810890 - Brain. 2011 Sep;134(Pt 9):2456-77 – reference: 12482085 - Neuroimage. 2002 Sep;17 (1):302-16 – reference: 11525331 - Neuroimage. 2001 Jul;14(1 Pt 1):21-36 – reference: 9225689 - Ann Neurol. 1997 Jul;42(1):85-94 – reference: 11337540 - J Nucl Med. 2001 Apr;42(4):548-57 – reference: 17651869 - Neurobiol Aging. 2009 Feb;30(2):186-97 – reference: 23585159 - Ann Nucl Med. 2013 Aug;27(7):600-9 – reference: 16513371 - Neuroimage. 2006 Jun;31(2):560-71 – reference: 11119692 - Brain Res. 2000 Dec 15;886(1-2):108-112 – reference: 22440645 - Neuroimage. 2012 Jul 16;61(4):957-65 – reference: 18691659 - Neuroimage. 2009 Jan 1;44(1):43-50 – reference: 12436498 - Eur J Nucl Med Mol Imaging. 2002 Oct;29(10 ):BP43-8 – reference: 12112765 - Hum Brain Mapp. 2002 Aug;16(4):228-50 – reference: 14527604 - Neuroimage. 2003 Sep;20(1):435-40 – reference: 16286547 - Arch Neurol. 2005 Nov;62(11):1728-33 – reference: 11558792 - Ann Neurol. 2001 Sep;50(3):358-65 |
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F]-fluorodeoxyglucose (FDG) Positron Emission Tomography (PET) is a widely used diagnostic tool that can detect and quantify pathophysiology, as assessed... [18F]-fluorodeoxyglucose (FDG) Positron Emission Tomography (PET) is a widely used diagnostic tool that can detect and quantify pathophysiology, as assessed... [^sup 18^F]-fluorodeoxyglucose (FDG) Positron Emission Tomography (PET) is a widely used diagnostic tool that can detect and quantify pathophysiology, as... [ super(18)F]-fluorodeoxyglucose (FDG) Positron Emission Tomography (PET) is a widely used diagnostic tool that can detect and quantify pathophysiology, as... |
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SubjectTerms | Aged Aged, 80 and over Applied sciences Artificial intelligence Bioinformatics Biological and medical sciences Biomedical and Life Sciences Biomedicine Brain - diagnostic imaging Brain Mapping - methods Case-Control Studies Cognitive Dysfunction - diagnostic imaging Cognitive Dysfunction - physiopathology Cognitive Dysfunction - psychology Computational Biology/Bioinformatics Computer Appl. in Life Sciences Computer science; control theory; systems Dementia Dementia - diagnostic imaging Dementia - physiopathology Dementia - psychology Exact sciences and technology Female Fluorodeoxyglucose F18 Geriatrics Humans Image Processing, Computer-Assisted - methods Investigative techniques, diagnostic techniques (general aspects) Male Medical sciences Middle Aged Neurology Neurosciences Original Article Pattern recognition. Digital image processing. Computational geometry Positron-Emission Tomography - methods Psychology. Psychoanalysis. Psychiatry Psychopathology. Psychiatry Radiodiagnosis. Nmr imagery. Nmr spectrometry Sensitivity and Specificity |
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Title | A Standardized [18F]-FDG-PET Template for Spatial Normalization in Statistical Parametric Mapping of Dementia |
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