Regional analysis of FDG and PIB-PET images in normal aging, mild cognitive impairment, and Alzheimer’s disease

Objective The objective of the study is to compare the diagnostic value of regional sampling of the cerebral metabolic rate of glucose metabolism (MRglc) using [18F]-fluoro-2-deoxyglucose ([18F]FDG)-positron emission tomography (PET) and amyloid-beta pathology using Pittsburgh Compound-B ([11C]PIB)-...

Full description

Saved in:
Bibliographic Details
Published inEuropean journal of nuclear medicine and molecular imaging Vol. 35; no. 12; pp. 2169 - 2181
Main Authors Li, Yi, Rinne, Juha O., Mosconi, Lisa, Pirraglia, Elizabeth, Rusinek, Henry, DeSanti, Susan, Kemppainen, Nina, Någren, Kjell, Kim, Byeong-Chae, Tsui, Wai, de Leon, Mony J.
Format Journal Article
LanguageEnglish
Published Berlin/Heidelberg Springer-Verlag 01.12.2008
Springer Nature B.V
Subjects
Online AccessGet full text
ISSN1619-7070
1619-7089
1619-7089
DOI10.1007/s00259-008-0833-y

Cover

Abstract Objective The objective of the study is to compare the diagnostic value of regional sampling of the cerebral metabolic rate of glucose metabolism (MRglc) using [18F]-fluoro-2-deoxyglucose ([18F]FDG)-positron emission tomography (PET) and amyloid-beta pathology using Pittsburgh Compound-B ([11C]PIB)-PET in the evaluation of patients with Alzheimer’s disease (AD) and mild cognitive impairment (MCI) compared to normal elderly (NL). Materials and methods AD patients, 7 NL, 13 MCI, and 17, received clinical, neuropsychological, magnetic resonance imaging (MRI), FDG, and PIB-PET exams. Parametric images of PIB uptake and MRglc were sampled using automated regions-of-interest (ROI). Results AD showed global MRglc reductions, and MCI showed reduced hippocampus (HIP) and inferior parietal lobe (IP) MRglc compared to NL. On PIB, AD patients showed significantly increased uptake in the middle frontal gyrus (MFG), posterior cingulate cortex (PCC), and IP ( p s < 0.05). PIB uptake in MCI subjects was either AD or NL-like. HIP MRglc and MFG PIB uptake were the best discriminators of NL from MCI and NL from AD. These two best measures showed high diagnostic agreement for AD (94%) and poor agreement for MCI (54%). For the NL vs. MCI discrimination, combining the two best measures increased the accuracy for PIB (75%) and for FDG (85%) to 90%. Conclusion For AD, the pattern of regional involvement for FDG and PIB differ, but both techniques show high diagnostic accuracy and 94% case by case agreement. In the classification of NL and MCI, FDG is superior to PIB, but there is only 54% agreement at a case level. Combining the two modalities improves the diagnostic accuracy for MCI.
AbstractList Objective The objective of the study is to compare the diagnostic value of regional sampling of the cerebral metabolic rate of glucose metabolism (MRglc) using [18F]-fluoro-2-deoxyglucose ([18F]FDG)-positron emission tomography (PET) and amyloid-beta pathology using Pittsburgh Compound-B ([11C]PIB)-PET in the evaluation of patients with Alzheimer’s disease (AD) and mild cognitive impairment (MCI) compared to normal elderly (NL). Materials and methods AD patients, 7 NL, 13 MCI, and 17, received clinical, neuropsychological, magnetic resonance imaging (MRI), FDG, and PIB-PET exams. Parametric images of PIB uptake and MRglc were sampled using automated regions-of-interest (ROI). Results AD showed global MRglc reductions, and MCI showed reduced hippocampus (HIP) and inferior parietal lobe (IP) MRglc compared to NL. On PIB, AD patients showed significantly increased uptake in the middle frontal gyrus (MFG), posterior cingulate cortex (PCC), and IP ( p s < 0.05). PIB uptake in MCI subjects was either AD or NL-like. HIP MRglc and MFG PIB uptake were the best discriminators of NL from MCI and NL from AD. These two best measures showed high diagnostic agreement for AD (94%) and poor agreement for MCI (54%). For the NL vs. MCI discrimination, combining the two best measures increased the accuracy for PIB (75%) and for FDG (85%) to 90%. Conclusion For AD, the pattern of regional involvement for FDG and PIB differ, but both techniques show high diagnostic accuracy and 94% case by case agreement. In the classification of NL and MCI, FDG is superior to PIB, but there is only 54% agreement at a case level. Combining the two modalities improves the diagnostic accuracy for MCI.
The objective of the study is to compare the diagnostic value of regional sampling of the cerebral metabolic rate of glucose metabolism (MRglc) using [18F]-fluoro-2-deoxyglucose ([18F]FDG)-positron emission tomography (PET) and amyloid-beta pathology using Pittsburgh Compound-B ([11C]PIB)-PET in the evaluation of patients with Alzheimer's disease (AD) and mild cognitive impairment (MCI) compared to normal elderly (NL). AD patients, 7 NL, 13 MCI, and 17, received clinical, neuropsychological, magnetic resonance imaging (MRI), FDG, and PIB-PET exams. Parametric images of PIB uptake and MRglc were sampled using automated regions-of-interest (ROI). AD showed global MRglc reductions, and MCI showed reduced hippocampus (HIP) and inferior parietal lobe (IP) MRglc compared to NL. On PIB, AD patients showed significantly increased uptake in the middle frontal gyrus (MFG), posterior cingulate cortex (PCC), and IP (ps < 0.05). PIB uptake in MCI subjects was either AD or NL-like. HIP MRglc and MFG PIB uptake were the best discriminators of NL from MCI and NL from AD. These two best measures showed high diagnostic agreement for AD (94%) and poor agreement for MCI (54%). For the NL vs. MCI discrimination, combining the two best measures increased the accuracy for PIB (75%) and for FDG (85%) to 90%. For AD, the pattern of regional involvement for FDG and PIB differ, but both techniques show high diagnostic accuracy and 94% case by case agreement. In the classification of NL and MCI, FDG is superior to PIB, but there is only 54% agreement at a case level. Combining the two modalities improves the diagnostic accuracy for MCI.
The objective of the study is to compare the diagnostic value of regional sampling of the cerebral metabolic rate of glucose metabolism (MRglc) using [18F]-fluoro-2-deoxyglucose ([18F]FDG)-positron emission tomography (PET) and amyloid-beta pathology using Pittsburgh Compound-B ([11C]PIB)-PET in the evaluation of patients with Alzheimer's disease (AD) and mild cognitive impairment (MCI) compared to normal elderly (NL). AD patients, 7 NL, 13 MCI, and 17, received clinical, neuropsychological, magnetic resonance imaging (MRI), FDG, and PIB-PET exams. Parametric images of PIB uptake and MRglc were sampled using automated regions-of-interest (ROI). AD showed global MRglc reductions, and MCI showed reduced hippocampus (HIP) and inferior parietal lobe (IP) MRglc compared to NL. On PIB, AD patients showed significantly increased uptake in the middle frontal gyrus (MFG), posterior cingulate cortex (PCC), and IP (ps<0.05). PIB uptake in MCI subjects was either AD or NL-like. HIP MRglc and MFG PIB uptake were the best discriminators of NL from MCI and NL from AD. These two best measures showed high diagnostic agreement for AD (94%) and poor agreement for MCI (54%). For the NL vs. MCI discrimination, combining the two best measures increased the accuracy for PIB (75%) and for FDG (85%) to 90%. For AD, the pattern of regional involvement for FDG and PIB differ, but both techniques show high diagnostic accuracy and 94% case by case agreement. In the classification of NL and MCI, FDG is superior to PIB, but there is only 54% agreement at a case level. Combining the two modalities improves the diagnostic accuracy for MCI. [PUBLICATION ABSTRACT]
Abstract; Objective; Materials and methods; Results; Conclusion The objective of the study is to compare the diagnostic value of regional sampling of the cerebral metabolic rate of glucose metabolism (MRglc) using [18F]-fluoro-2-deoxyglucose ([18F]FDG)-positron emission tomography (PET) and amyloid-beta pathology using Pittsburgh Compound-B ([11C]PIB)-PET in the evaluation of patients with Alzheimer's disease (AD) and mild cognitive impairment (MCI) compared to normal elderly (NL). AD patients, 7 NL, 13 MCI, and 17, received clinical, neuropsychological, magnetic resonance imaging (MRI), FDG, and PIB-PET exams. Parametric images of PIB uptake and MRglc were sampled using automated regions-of-interest (ROI). AD showed global MRglc reductions, and MCI showed reduced hippocampus (HIP) and inferior parietal lobe (IP) MRglc compared to NL. On PIB, AD patients showed significantly increased uptake in the middle frontal gyrus (MFG), posterior cingulate cortex (PCC), and IP (ps[Lt]0.05). PIB uptake in MCI subjects was either AD or NL-like. HIP MRglc and MFG PIB uptake were the best discriminators of NL from MCI and NL from AD. These two best measures showed high diagnostic agreement for AD (94%) and poor agreement for MCI (54%). For the NL vs. MCI discrimination, combining the two best measures increased the accuracy for PIB (75%) and for FDG (85%) to 90%. For AD, the pattern of regional involvement for FDG and PIB differ, but both techniques show high diagnostic accuracy and 94% case by case agreement. In the classification of NL and MCI, FDG is superior to PIB, but there is only 54% agreement at a case level. Combining the two modalities improves the diagnostic accuracy for MCI.
The objective of the study is to compare the diagnostic value of regional sampling of the cerebral metabolic rate of glucose metabolism (MRglc) using [18F]-fluoro-2-deoxyglucose ([18F]FDG)-positron emission tomography (PET) and amyloid-beta pathology using Pittsburgh Compound-B ([11C]PIB)-PET in the evaluation of patients with Alzheimer's disease (AD) and mild cognitive impairment (MCI) compared to normal elderly (NL).OBJECTIVEThe objective of the study is to compare the diagnostic value of regional sampling of the cerebral metabolic rate of glucose metabolism (MRglc) using [18F]-fluoro-2-deoxyglucose ([18F]FDG)-positron emission tomography (PET) and amyloid-beta pathology using Pittsburgh Compound-B ([11C]PIB)-PET in the evaluation of patients with Alzheimer's disease (AD) and mild cognitive impairment (MCI) compared to normal elderly (NL).AD patients, 7 NL, 13 MCI, and 17, received clinical, neuropsychological, magnetic resonance imaging (MRI), FDG, and PIB-PET exams. Parametric images of PIB uptake and MRglc were sampled using automated regions-of-interest (ROI).MATERIALS AND METHODSAD patients, 7 NL, 13 MCI, and 17, received clinical, neuropsychological, magnetic resonance imaging (MRI), FDG, and PIB-PET exams. Parametric images of PIB uptake and MRglc were sampled using automated regions-of-interest (ROI).AD showed global MRglc reductions, and MCI showed reduced hippocampus (HIP) and inferior parietal lobe (IP) MRglc compared to NL. On PIB, AD patients showed significantly increased uptake in the middle frontal gyrus (MFG), posterior cingulate cortex (PCC), and IP (ps < 0.05). PIB uptake in MCI subjects was either AD or NL-like. HIP MRglc and MFG PIB uptake were the best discriminators of NL from MCI and NL from AD. These two best measures showed high diagnostic agreement for AD (94%) and poor agreement for MCI (54%). For the NL vs. MCI discrimination, combining the two best measures increased the accuracy for PIB (75%) and for FDG (85%) to 90%.RESULTSAD showed global MRglc reductions, and MCI showed reduced hippocampus (HIP) and inferior parietal lobe (IP) MRglc compared to NL. On PIB, AD patients showed significantly increased uptake in the middle frontal gyrus (MFG), posterior cingulate cortex (PCC), and IP (ps < 0.05). PIB uptake in MCI subjects was either AD or NL-like. HIP MRglc and MFG PIB uptake were the best discriminators of NL from MCI and NL from AD. These two best measures showed high diagnostic agreement for AD (94%) and poor agreement for MCI (54%). For the NL vs. MCI discrimination, combining the two best measures increased the accuracy for PIB (75%) and for FDG (85%) to 90%.For AD, the pattern of regional involvement for FDG and PIB differ, but both techniques show high diagnostic accuracy and 94% case by case agreement. In the classification of NL and MCI, FDG is superior to PIB, but there is only 54% agreement at a case level. Combining the two modalities improves the diagnostic accuracy for MCI.CONCLUSIONFor AD, the pattern of regional involvement for FDG and PIB differ, but both techniques show high diagnostic accuracy and 94% case by case agreement. In the classification of NL and MCI, FDG is superior to PIB, but there is only 54% agreement at a case level. Combining the two modalities improves the diagnostic accuracy for MCI.
Author Kim, Byeong-Chae
Tsui, Wai
Rinne, Juha O.
Kemppainen, Nina
Någren, Kjell
Pirraglia, Elizabeth
DeSanti, Susan
Li, Yi
Mosconi, Lisa
de Leon, Mony J.
Rusinek, Henry
Author_xml – sequence: 1
  givenname: Yi
  surname: Li
  fullname: Li, Yi
  organization: New York University School of Medicine, Qilu hospital Shandong University, Center for Brain Health, Department of Psychiatry, HN400 NYU School of Medicine
– sequence: 2
  givenname: Juha O.
  surname: Rinne
  fullname: Rinne, Juha O.
  email: juha.rinne@pet.tyks.fi
  organization: Turku PET Centre, University of Turku
– sequence: 3
  givenname: Lisa
  surname: Mosconi
  fullname: Mosconi, Lisa
  organization: New York University School of Medicine
– sequence: 4
  givenname: Elizabeth
  surname: Pirraglia
  fullname: Pirraglia, Elizabeth
  organization: New York University School of Medicine
– sequence: 5
  givenname: Henry
  surname: Rusinek
  fullname: Rusinek, Henry
  organization: New York University School of Medicine
– sequence: 6
  givenname: Susan
  surname: DeSanti
  fullname: DeSanti, Susan
  organization: New York University School of Medicine
– sequence: 7
  givenname: Nina
  surname: Kemppainen
  fullname: Kemppainen, Nina
  organization: Turku PET Centre, University of Turku
– sequence: 8
  givenname: Kjell
  surname: Någren
  fullname: Någren, Kjell
  organization: Turku PET Centre, University of Turku
– sequence: 9
  givenname: Byeong-Chae
  surname: Kim
  fullname: Kim, Byeong-Chae
  organization: New York University School of Medicine, Department of Neurology, Chonnam National University Medical School
– sequence: 10
  givenname: Wai
  surname: Tsui
  fullname: Tsui, Wai
  organization: New York University School of Medicine, Nathan Kline Institute
– sequence: 11
  givenname: Mony J.
  surname: de Leon
  fullname: de Leon, Mony J.
  email: mony.deleon@med.nyu.edu
  organization: New York University School of Medicine, Nathan Kline Institute, Center for Brain Health, Department of Psychiatry, HN400 NYU School of Medicine
BackLink https://www.ncbi.nlm.nih.gov/pubmed/18566819$$D View this record in MEDLINE/PubMed
BookMark eNqFkktuFDEQhi0URB5wADbIYsEqDbbb47E3SCEkIVIkIhTWlttd3XHUbU_snkjDimtwPU5CDRMSiARs_FB9f_kvV-2SrZgiEPKcs9ecsfmbwpiYmYoxXTFd19XqEdnhiptqzrTZujvP2TbZLeWKMa6FNk_INtczpTQ3O-T6E_QhRTdQh8uqhEJTR4_fn-C9peen76rzowsaRtdDoSHSmPK4hvsQ-306hqGlPvUxTOEGEFu4kEeI0_5P-cHw5RLCCPn712-FtqGAK_CUPO7cUODZ7b5HPh8fXRx-qM4-npweHpxVfqbkVNVMKdMZ7Y1oFQOpa-f5DBphMOJ8IxoMulo43Xa6Y2B83SqHFTopu0a09R55u8m7WDYjtB5dZTfYRcZi8somF-yfkRgubZ9urFCmlkxggle3CXK6XkKZ7BiKh2FwEdKyWGW0EVLw_4KCCWO0lAi-fABepWXGf0eGSzXj0qyhF7_7vjP8q2cI8A3gcyolQ3ePMLueC7uZC4tzYddzYVeomT_Q-DC5CTuPpYfhn0qxURZ8JfaQ7z3_XfQDzmHOCA
CitedBy_id crossref_primary_10_1212_WNL_0b013e318225118e
crossref_primary_10_1016_j_neurobiolaging_2011_02_018
crossref_primary_10_1007_s12149_020_01453_y
crossref_primary_10_1016_j_tins_2011_05_005
crossref_primary_10_1007_s00259_008_1028_2
crossref_primary_10_1016_j_jalz_2018_06_2855
crossref_primary_10_1016_j_neurobiolaging_2011_09_006
crossref_primary_10_1186_s12877_019_1072_8
crossref_primary_10_1007_s11682_009_9067_2
crossref_primary_10_1016_j_matpr_2021_01_221
crossref_primary_10_1177_0891988710363715
crossref_primary_10_3389_fnmol_2019_00123
crossref_primary_10_3233_JAD_181188
crossref_primary_10_1016_j_wneu_2012_10_020
crossref_primary_10_1073_pnas_0914141107
crossref_primary_10_1097_JGP_0b013e3181c65821
crossref_primary_10_1016_j_neurobiolaging_2011_02_012
crossref_primary_10_1007_s11065_009_9118_x
crossref_primary_10_2967_jnumed_111_096578
crossref_primary_10_1016_j_neurobiolaging_2014_12_036
crossref_primary_10_1093_brain_awp062
crossref_primary_10_1007_s12149_009_0330_9
crossref_primary_10_1038_s41598_017_13339_7
crossref_primary_10_1016_j_neubiorev_2014_11_010
crossref_primary_10_3390_nu12103215
crossref_primary_10_1155_2024_2988685
crossref_primary_10_1016_j_neuroimage_2018_12_033
crossref_primary_10_1016_j_remn_2015_09_008
crossref_primary_10_3233_JAD_142820
crossref_primary_10_1371_journal_pone_0073377
crossref_primary_10_3389_fncel_2018_00126
crossref_primary_10_3389_fnins_2017_00259
crossref_primary_10_1038_s41598_018_27839_7
crossref_primary_10_1371_journal_pmed_1003012
crossref_primary_10_1016_j_jalz_2016_06_2357
crossref_primary_10_1111_jcpe_13267
crossref_primary_10_1016_j_jalz_2012_04_009
crossref_primary_10_1523_JNEUROSCI_0552_11_2011
crossref_primary_10_3389_fnagi_2016_00067
crossref_primary_10_1016_j_neuroimage_2011_11_075
crossref_primary_10_1038_s41467_019_10217_w
crossref_primary_10_1155_2012_251426
crossref_primary_10_1186_1471_2288_15_9
crossref_primary_10_3233_JAD_170720
crossref_primary_10_1089_brain_2013_0212
crossref_primary_10_1016_j_compmedimag_2014_05_003
crossref_primary_10_1016_j_neurobiolaging_2012_03_002
crossref_primary_10_1016_j_bbadis_2011_11_006
crossref_primary_10_1016_j_nut_2010_07_021
crossref_primary_10_1016_j_brainres_2017_07_009
crossref_primary_10_4103_0366_6999_162507
crossref_primary_10_3389_fnagi_2019_00143
crossref_primary_10_1007_s00259_015_3222_3
crossref_primary_10_1002_ajmg_b_32080
crossref_primary_10_1371_journal_pone_0025033
crossref_primary_10_1002_hbm_23572
crossref_primary_10_1007_s00702_019_01975_4
crossref_primary_10_1523_JNEUROSCI_3669_09_2009
crossref_primary_10_1016_j_neurobiolaging_2011_05_028
crossref_primary_10_1016_j_neurobiolaging_2010_03_011
crossref_primary_10_1136_bmjopen_2014_004850
crossref_primary_10_2967_jnumed_114_149302
crossref_primary_10_1007_s11357_023_00897_0
crossref_primary_10_3233_JAD_150493
crossref_primary_10_1016_j_pneurobio_2013_06_004
crossref_primary_10_1007_s00521_022_07076_w
crossref_primary_10_1016_j_cpet_2009_12_008
crossref_primary_10_1002_ima_22167
crossref_primary_10_1371_journal_pone_0084777
crossref_primary_10_1002_hipo_22693
crossref_primary_10_1016_j_cpet_2009_12_003
crossref_primary_10_1016_j_jconrel_2022_09_058
crossref_primary_10_3389_fnhum_2017_00033
crossref_primary_10_4236_ami_2014_42003
crossref_primary_10_1007_s00259_009_1124_y
crossref_primary_10_1371_journal_pone_0047905
crossref_primary_10_1016_j_neurobiolaging_2013_11_027
crossref_primary_10_1371_journal_pmed_1003615
crossref_primary_10_1007_s00259_014_2704_z
crossref_primary_10_1523_ENEURO_0396_17_2018
crossref_primary_10_1016_j_cpet_2009_01_003
crossref_primary_10_1093_cercor_bhs381
crossref_primary_10_1002_14651858_CD007220_pub2
crossref_primary_10_1109_RBME_2018_2796598
crossref_primary_10_1007_s10072_011_0633_1
crossref_primary_10_1136_bcr_2014_207011
crossref_primary_10_1093_brain_awv278
crossref_primary_10_3389_fnbeh_2014_00089
crossref_primary_10_3233_JAD_180316
crossref_primary_10_1111_ggi_13745
crossref_primary_10_1016_j_gmhc_2013_04_003
crossref_primary_10_1007_s00259_022_05899_2
crossref_primary_10_2967_jnumed_108_058529
crossref_primary_10_1523_JNEUROSCI_4305_10_2010
crossref_primary_10_1097_WCO_0b013e32832d93c7
crossref_primary_10_1007_s11910_015_0562_0
crossref_primary_10_1016_j_jns_2020_116974
crossref_primary_10_1016_j_neuroimage_2014_06_060
crossref_primary_10_1038_s42003_021_02551_x
crossref_primary_10_1097_MD_0000000000000763
crossref_primary_10_1038_s41598_017_03925_0
crossref_primary_10_1007_s00415_009_5377_y
crossref_primary_10_1586_ern_10_136
crossref_primary_10_2478_s13380_011_0015_4
crossref_primary_10_1016_j_nicl_2014_03_005
crossref_primary_10_3233_JAD_160090
crossref_primary_10_1212_WNL_0b013e3181ff96bf
crossref_primary_10_1016_j_jalz_2014_09_004
crossref_primary_10_3389_fncom_2019_00072
crossref_primary_10_1016_j_neurobiolaging_2011_12_024
crossref_primary_10_1038_s41514_023_00112_6
crossref_primary_10_1080_21553769_2015_1044129
crossref_primary_10_1186_s13637_016_0046_9
crossref_primary_10_1002_hbm_23091
crossref_primary_10_1016_j_eplepsyres_2017_09_006
crossref_primary_10_1186_alzrt93
crossref_primary_10_1039_c2mt20052j
crossref_primary_10_3233_JAD_180707
crossref_primary_10_3233_JAD_170582
crossref_primary_10_3389_fnagi_2022_788567
crossref_primary_10_1007_s00401_009_0583_3
crossref_primary_10_1097_RLU_0000000000000666
crossref_primary_10_1016_j_nicl_2013_05_008
crossref_primary_10_1002_gps_2116
crossref_primary_10_1007_s00259_009_1318_3
crossref_primary_10_1016_j_bbadis_2013_09_010
crossref_primary_10_1016_j_arr_2015_09_003
crossref_primary_10_1016_j_neurobiolaging_2014_09_029
crossref_primary_10_1016_j_remnie_2013_07_027
crossref_primary_10_1016_j_bbr_2014_12_033
crossref_primary_10_1155_2018_2764831
crossref_primary_10_2967_jnumed_110_076182
crossref_primary_10_1177_13872877241291245
crossref_primary_10_14336_AD_2018_0425
crossref_primary_10_1016_j_nbd_2014_05_001
crossref_primary_10_3233_JAD_150190
crossref_primary_10_1007_s12603_014_0507_3
crossref_primary_10_1002_sim_9442
crossref_primary_10_3389_fnagi_2020_00085
crossref_primary_10_1017_S0007114521003883
crossref_primary_10_1093_brain_awad267
crossref_primary_10_3389_fnagi_2022_1018180
crossref_primary_10_2217_nmt_11_11
crossref_primary_10_1038_s41598_019_42261_3
crossref_primary_10_3233_JAD_161197
crossref_primary_10_1016_j_dadm_2016_02_007
crossref_primary_10_1016_j_bandc_2010_11_003
crossref_primary_10_1007_s00259_015_3170_y
crossref_primary_10_1007_s12603_014_0485_5
crossref_primary_10_1186_s13195_020_00702_6
crossref_primary_10_1111_j_1552_6569_2010_00543_x
crossref_primary_10_1007_s11042_025_20631_6
crossref_primary_10_1093_brain_awp123
crossref_primary_10_1007_s11682_012_9208_x
crossref_primary_10_1038_s41514_021_00064_9
crossref_primary_10_1016_j_nicl_2021_102750
crossref_primary_10_3233_JAD_160204
crossref_primary_10_1007_s00259_011_1745_9
crossref_primary_10_1007_s00259_008_1039_z
crossref_primary_10_1089_brain_2014_0320
crossref_primary_10_3390_ijms19103082
crossref_primary_10_1007_s10334_012_0329_4
crossref_primary_10_1016_j_remn_2013_06_012
crossref_primary_10_1007_s13311_018_00708_x
crossref_primary_10_1016_j_neurobiolaging_2013_01_003
crossref_primary_10_1007_s12031_017_0915_z
crossref_primary_10_1016_j_neurobiolaging_2011_03_003
crossref_primary_10_1007_s00259_022_05809_6
crossref_primary_10_1039_D4FO00886C
crossref_primary_10_21518_ms2024_289
crossref_primary_10_1186_s12987_022_00318_y
crossref_primary_10_1016_j_neurobiolaging_2014_10_038
crossref_primary_10_1016_j_jalz_2009_09_005
crossref_primary_10_1097_MNM_0000000000000569
crossref_primary_10_3389_fnagi_2016_00145
crossref_primary_10_1007_s13311_016_0481_z
crossref_primary_10_3389_fnagi_2024_1428695
crossref_primary_10_1016_j_mehy_2012_11_005
crossref_primary_10_18632_oncotarget_11027
crossref_primary_10_1523_JNEUROSCI_2170_12_2012
crossref_primary_10_3233_JAD_151084
crossref_primary_10_1002_acn3_51290
crossref_primary_10_1007_s00115_010_2951_6
crossref_primary_10_1111_jnc_12003
crossref_primary_10_1371_journal_pone_0222446
crossref_primary_10_1093_cercor_bhy078
crossref_primary_10_1016_j_biopsych_2011_04_023
crossref_primary_10_1016_j_remnie_2015_09_005
crossref_primary_10_1016_j_neubiorev_2011_06_009
crossref_primary_10_1016_j_jalz_2010_06_004
crossref_primary_10_1155_2014_837157
crossref_primary_10_1016_j_trci_2016_02_004
crossref_primary_10_3389_fnins_2018_00025
crossref_primary_10_1080_1061186X_2023_2238250
Cites_doi 10.1007/s00259-003-1194-1
10.1016/S0140-6736(94)92871-1
10.1111/j.1471-4159.1977.tb03919.x
10.1097/00004728-199307000-00004
10.1016/S0197-4580(01)00230-5
10.1006/nimg.2001.0786
10.1212/01.WNL.0000163856.13524.08
10.1073/pnas.191044198
10.1001/archneur.58.12.1985
10.1212/01.wnl.0000244749.20056.d4
10.2967/jnumed.106.037762
10.1196/annals.1379.012
10.1126/science.275.5300.630
10.1007/s00259-005-1762-7
10.1097/00004728-199801000-00028
10.1046/j.1460-9568.2003.02999.x
10.1016/S1474-4422(06)70417-3
10.1002/ana.410420114
10.1002/ana.10669
10.1007/BF00308809
10.1212/01.wnl.0000260969.94695.56
10.1016/j.neuroimage.2006.05.063
10.1212/01.wnl.0000261919.22630.ea
10.1176/appi.ajgp.12.6.584
10.1002/ana.20009
10.1117/12.431059
10.1523/JNEUROSCI.23-06-02086.2003
10.1212/WNL.46.3.707
10.1212/WNL.34.7.939
10.1038/jcbfm.1991.122
10.1212/WNL.58.12.1791
10.4135/9781412983808
10.1212/WNL.41.4.479
10.1038/jcbfm.1983.1
10.1212/01.WNL.0000034176.07159.F8
10.1038/jcbfm.1990.127
10.1001/archneur.1983.04050110029003
10.1212/WNL.52.6.1158
ContentType Journal Article
Copyright Springer-Verlag 2008
Copyright_xml – notice: Springer-Verlag 2008
DBID C6C
AAYXX
CITATION
CGR
CUY
CVF
ECM
EIF
NPM
3V.
7RV
7TK
7X7
7XB
88E
8AO
8FE
8FG
8FH
8FI
8FJ
8FK
ABUWG
AFKRA
ARAPS
AZQEC
BBNVY
BENPR
BGLVJ
BHPHI
CCPQU
DWQXO
FYUFA
GHDGH
GNUQQ
HCIFZ
K9.
KB0
LK8
M0S
M1P
M7P
NAPCQ
P5Z
P62
PHGZM
PHGZT
PJZUB
PKEHL
PPXIY
PQEST
PQGLB
PQQKQ
PQUKI
PRINS
7QO
8FD
FR3
P64
7X8
5PM
DOI 10.1007/s00259-008-0833-y
DatabaseName Springer Nature OA Free Journals
CrossRef
Medline
MEDLINE
MEDLINE (Ovid)
MEDLINE
MEDLINE
PubMed
ProQuest Central (Corporate)
Nursing & Allied Health Database
Neurosciences Abstracts
Health & Medical Collection
ProQuest Central (purchase pre-March 2016)
Medical Database (Alumni Edition)
ProQuest Pharma Collection
ProQuest SciTech Collection
ProQuest Technology Collection
ProQuest Natural Science Collection
Hospital Premium Collection
Hospital Premium Collection (Alumni Edition)
ProQuest Central (Alumni) (purchase pre-March 2016)
ProQuest Central (Alumni)
ProQuest Central UK/Ireland
Advanced Technologies & Aerospace Collection
ProQuest Central Essentials
Biological Science Collection
ProQuest Central
Technology Collection
Natural Science Collection
ProQuest One Community College
ProQuest Central Korea
Health Research Premium Collection
Health Research Premium Collection (Alumni)
ProQuest Central Student
SciTech Premium Collection
ProQuest Health & Medical Complete (Alumni)
Nursing & Allied Health Database (Alumni Edition)
ProQuest Biological Science Collection
Health & Medical Collection (Alumni)
Medical Database
Biological Science Database
Nursing & Allied Health Premium
Advanced Technologies & Aerospace Database
ProQuest Advanced Technologies & Aerospace Collection
ProQuest Central Premium
ProQuest One Academic (New)
ProQuest Health & Medical Research Collection
ProQuest One Academic Middle East (New)
ProQuest One Health & Nursing
ProQuest One Academic Eastern Edition (DO NOT USE)
ProQuest One Applied & Life Sciences
ProQuest One Academic
ProQuest One Academic UKI Edition
ProQuest Central China
Biotechnology Research Abstracts
Technology Research Database
Engineering Research Database
Biotechnology and BioEngineering Abstracts
MEDLINE - Academic
PubMed Central (Full Participant titles)
DatabaseTitle CrossRef
MEDLINE
Medline Complete
MEDLINE with Full Text
PubMed
MEDLINE (Ovid)
ProQuest Central Student
Technology Collection
ProQuest One Academic Middle East (New)
ProQuest Advanced Technologies & Aerospace Collection
ProQuest Central Essentials
ProQuest Health & Medical Complete (Alumni)
ProQuest Central (Alumni Edition)
SciTech Premium Collection
ProQuest One Community College
ProQuest One Health & Nursing
ProQuest Natural Science Collection
ProQuest Pharma Collection
ProQuest Central China
ProQuest Central
ProQuest One Applied & Life Sciences
ProQuest Health & Medical Research Collection
Health Research Premium Collection
Health and Medicine Complete (Alumni Edition)
Natural Science Collection
ProQuest Central Korea
Health & Medical Research Collection
Biological Science Collection
ProQuest Central (New)
ProQuest Medical Library (Alumni)
Advanced Technologies & Aerospace Collection
ProQuest Biological Science Collection
ProQuest One Academic Eastern Edition
ProQuest Nursing & Allied Health Source
ProQuest Hospital Collection
ProQuest Technology Collection
Health Research Premium Collection (Alumni)
Biological Science Database
ProQuest SciTech Collection
Neurosciences Abstracts
ProQuest Hospital Collection (Alumni)
Advanced Technologies & Aerospace Database
Nursing & Allied Health Premium
ProQuest Health & Medical Complete
ProQuest Medical Library
ProQuest One Academic UKI Edition
ProQuest Nursing & Allied Health Source (Alumni)
ProQuest One Academic
ProQuest One Academic (New)
ProQuest Central (Alumni)
Engineering Research Database
Biotechnology Research Abstracts
Technology Research Database
Biotechnology and BioEngineering Abstracts
MEDLINE - Academic
DatabaseTitleList
MEDLINE
ProQuest Central Student
Engineering Research Database
MEDLINE - Academic
Database_xml – sequence: 1
  dbid: C6C
  name: Springer Nature OA Free Journals
  url: http://www.springeropen.com/
  sourceTypes: Publisher
– sequence: 2
  dbid: NPM
  name: PubMed
  url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed
  sourceTypes: Index Database
– sequence: 3
  dbid: EIF
  name: MEDLINE
  url: https://proxy.k.utb.cz/login?url=https://www.webofscience.com/wos/medline/basic-search
  sourceTypes: Index Database
– sequence: 4
  dbid: 8FG
  name: ProQuest Technology Collection
  url: https://search.proquest.com/technologycollection1
  sourceTypes: Aggregation Database
DeliveryMethod fulltext_linktorsrc
Discipline Medicine
Anatomy & Physiology
EISSN 1619-7089
EndPage 2181
ExternalDocumentID PMC2693402
1611069611
18566819
10_1007_s00259_008_0833_y
Genre Research Support, Non-U.S. Gov't
Journal Article
Research Support, N.I.H., Extramural
GrantInformation_xml – fundername: NIA NIH HHS
  grantid: R01 AG022374
– fundername: NIA NIH HHS
  grantid: AG08051
– fundername: NIA NIH HHS
  grantid: R01 AG013616
– fundername: NIA NIH HHS
  grantid: AG13616
– fundername: NIA NIH HHS
  grantid: AG12101
– fundername: NIA NIH HHS
  grantid: R01 AG012101
– fundername: NIA NIH HHS
  grantid: P30 AG008051
GroupedDBID ---
-5E
-5G
-BR
-Y2
-~C
.86
.GJ
.VR
04C
06C
06D
0R~
0VY
199
1N0
203
29G
29~
2JN
2JY
2KM
2LR
2P1
2VQ
2~H
30V
36B
3V.
4.4
406
40D
53G
5GY
5QI
5RE
5VS
67Z
6NX
78A
7RV
7X7
88E
8AO
8FE
8FG
8FH
8FI
8FJ
8UJ
95-
95.
95~
96X
AAAVM
AACDK
AAHNG
AAIAL
AAJBT
AANXM
AANZL
AARHV
AARTL
AASML
AATNV
AATVU
AAUYE
AAWCG
AAYQN
AAYTO
AAYZH
ABAKF
ABBBX
ABBXA
ABDBF
ABECU
ABFTV
ABHQN
ABIPD
ABJNI
ABJOX
ABKCH
ABLJU
ABMNI
ABMQK
ABNWP
ABPLI
ABQBU
ABQSL
ABSXP
ABTEG
ABTKH
ABTMW
ABULA
ABUWG
ABUWZ
ABWNU
ABXPI
ACAOD
ACBXY
ACDTI
ACGFS
ACHSB
ACHVE
ACIWK
ACMDZ
ACMLO
ACOKC
ACOMO
ACPIV
ACPRK
ACUDM
ACUHS
ACZOJ
ADBBV
ADHIR
ADINQ
ADKNI
ADKPE
ADRFC
ADTPH
ADURQ
ADYFF
ADZKW
AEBTG
AEFIE
AEFQL
AEGAL
AEGNC
AEJRE
AEKMD
AEMSY
AENEX
AEOHA
AEPYU
AESKC
AEVLU
AEXYK
AFBBN
AFEXP
AFFNX
AFJLC
AFKRA
AFLOW
AFQWF
AFRAH
AFWTZ
AGAYW
AGDGC
AGGDS
AGJBK
AGMZJ
AGQEE
AGQMX
AGRTI
AGVAE
AGWIL
AHAVH
AHBYD
AHIZS
AHKAY
AHMBA
AHSBF
AHYZX
AIAKS
AIGIU
AIIXL
AILAN
AITGF
AJBLW
AJRNO
AJZVZ
AKMHD
ALIPV
ALMA_UNASSIGNED_HOLDINGS
ALWAN
AMKLP
AMXSW
AMYLF
AOCGG
ARAPS
ARMRJ
AXYYD
AZFZN
B-.
B0M
BA0
BBNVY
BDATZ
BENPR
BGLVJ
BGNMA
BHPHI
BKEYQ
BMSDO
BPHCQ
BSONS
BVXVI
C6C
CAG
CCPQU
COF
CSCUP
DDRTE
DL5
DNIVK
DPUIP
DU5
EAD
EAP
EAS
EBB
EBC
EBD
EBLON
EBO
EBS
EBX
EHN
EIHBH
EIOEI
EJD
EMB
EMK
EMOBN
EN4
EPL
EPT
ESBYG
ESX
EX3
F5P
FEDTE
FERAY
FFXSO
FIGPU
FINBP
FNLPD
FRRFC
FSGXE
FWDCC
FYUFA
G-Y
G-Z
GGCAI
GGRSB
GNWQR
GQ6
GQ7
GQ8
GRRUI
GXS
H13
HCIFZ
HF~
HG5
HG6
HMCUK
HMJXF
HQYDN
HRMNR
HVGLF
HZ~
I09
IHE
IJ-
IKXTQ
IMOTQ
ITM
IWAJR
IXC
IZIGR
IZQ
I~X
I~Z
J-C
J0Z
JBSCW
JCJTX
JZLTJ
KDC
KPH
LAS
LK8
LLZTM
M1P
M4Y
M7P
MA-
N2Q
N9A
NAPCQ
NB0
NDZJH
NPVJJ
NQJWS
NU0
O9-
O93
O9G
O9I
O9J
OAM
OVD
P19
P62
P9S
PF0
PQQKQ
PROAC
PSQYO
PT4
PT5
Q2X
QOK
QOR
QOS
Q~Q
R89
R9I
RNI
RNS
ROL
RPX
RRX
RSV
RZK
S1Z
S26
S27
S28
S37
S3B
SAP
SCLPG
SDH
SISQX
SJYHP
SMD
SNE
SNPRN
SNX
SOHCF
SOJ
SPISZ
SRMVM
SSLCW
SSXJD
STPWE
SV3
SZ9
SZN
T13
T16
TEORI
TH9
TSG
TSK
TT1
TUS
U2A
U9L
UG4
UKHRP
UOJIU
UTJUX
UZXMN
VC2
VFIZW
W23
W48
WK8
WOW
YLTOR
Z45
Z7R
Z7U
Z7W
Z7X
Z7Y
Z7Z
Z81
Z82
Z83
Z87
Z88
Z8M
Z8O
Z8Q
Z8R
Z8S
Z8T
Z8U
Z8V
Z8W
Z8Z
Z91
ZMTXR
~8M
AAPKM
AAYXX
ABBRH
ABDBE
ABFSG
ACSTC
ADHKG
AEZWR
AFDZB
AFHIU
AFOHR
AGQPQ
AHPBZ
AHWEU
AIXLP
ATHPR
AYFIA
CITATION
PHGZM
PHGZT
ABRTQ
CGR
CUY
CVF
ECM
EIF
NPM
PJZUB
PPXIY
PQGLB
7TK
7XB
8FK
AZQEC
DWQXO
GNUQQ
K9.
PKEHL
PQEST
PQUKI
PRINS
PUEGO
7QO
8FD
FR3
P64
7X8
5PM
ID FETCH-LOGICAL-c564t-30669f98c92d60e483ac15eb29306acb2bf98a32a8df8f0e9c3d6a018a44fb2d3
IEDL.DBID C6C
ISSN 1619-7070
1619-7089
IngestDate Thu Aug 21 13:46:08 EDT 2025
Thu Sep 04 20:46:20 EDT 2025
Thu Sep 04 18:14:11 EDT 2025
Sat Aug 23 14:15:13 EDT 2025
Mon Jul 21 05:36:09 EDT 2025
Thu Apr 24 22:56:23 EDT 2025
Tue Jul 01 02:19:36 EDT 2025
Fri Feb 21 02:28:41 EST 2025
IsDoiOpenAccess true
IsOpenAccess true
IsPeerReviewed true
IsScholarly true
Issue 12
Keywords FDG-PET
MCI
Alzheimer’s disease
MRI
PIB-PET
Automated regions of interest
Diagnosis
Language English
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c564t-30669f98c92d60e483ac15eb29306acb2bf98a32a8df8f0e9c3d6a018a44fb2d3
Notes ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
content type line 23
OpenAccessLink https://doi.org/10.1007/s00259-008-0833-y
PMID 18566819
PQID 214651494
PQPubID 42802
PageCount 13
ParticipantIDs pubmedcentral_primary_oai_pubmedcentral_nih_gov_2693402
proquest_miscellaneous_69892421
proquest_miscellaneous_20299844
proquest_journals_214651494
pubmed_primary_18566819
crossref_primary_10_1007_s00259_008_0833_y
crossref_citationtrail_10_1007_s00259_008_0833_y
springer_journals_10_1007_s00259_008_0833_y
ProviderPackageCode CITATION
AAYXX
PublicationCentury 2000
PublicationDate 2008-12-01
PublicationDateYYYYMMDD 2008-12-01
PublicationDate_xml – month: 12
  year: 2008
  text: 2008-12-01
  day: 01
PublicationDecade 2000
PublicationPlace Berlin/Heidelberg
PublicationPlace_xml – name: Berlin/Heidelberg
– name: Germany
– name: Heidelberg
PublicationTitle European journal of nuclear medicine and molecular imaging
PublicationTitleAbbrev Eur J Nucl Med Mol Imaging
PublicationTitleAlternate Eur J Nucl Med Mol Imaging
PublicationYear 2008
Publisher Springer-Verlag
Springer Nature B.V
Publisher_xml – name: Springer-Verlag
– name: Springer Nature B.V
References Lopresti, Klunk, Mathis, Hoge, Ziolko, Lu (CR25) 2005; 46
Minoshima, Foster, Kuhl (CR40) 1994; 344
Mosconi (CR9) 2005; 32
Klunk, Wang, Huang, Debnath, Holt, Shao (CR33) 2003; 23
Larrieu, Letenneur, Orgogozo (CR10) 2002; 59
Edison, Archer, Hinz (CR35) 2007; 68
(CR21) 1994
Drzezga, Lautenschlager, Siebner, Riemenschneider, Willoch, Minoshima (CR39) 2003; 30
Braak, Braak (CR18) 1991; 82
Ziolko, Weissfeld, Klunk, Mathis, Hoge, Lopresti (CR34) 2006; 33
Woods, Mazziotta, Cherry (CR27) 1993; 17
Delacourte, David, Sergeant, Buee, Wattez, Vermersch (CR15) 1999; 52
Nestor, Fryer, Smielewski, Hodges (CR5) 2003; 54
De Santi, de Leon, Rusinek, Convit, Tarshish, Roche (CR6) 2001; 22
Mosconi, Tsui, De Santi, Li, Rusinek, Convit (CR7) 2005; 64
Patlak, Blasberg, Fenstermacher (CR26) 1983; 3
de Leon, Convit, Wolf, Tarshish, DeSanti, Rusinek (CR37) 2001; 98
McKhann, Drachman, Folstein, Katzman, Price, Stadlan (CR20) 1984; 34
Sokoloff (CR8) 1977; 29
Verhoeff, Wilson, Takeshita, Trop, Hussey, Singh (CR13) 2004; 12
Cockrell, Folstein (CR22) 1988; 24
Klunk, Engler, Nordberg, Wang, Blomqvist, Holt (CR14) 2004; 55
Morris, Storandt, McKeel, Rubin, Price, Grant (CR16) 1996; 46
Minoshima, Giordani, Berent, Frey, Foster, Kuhl (CR4) 1997; 42
Ng, Villemagne, Berlangieri (CR36) 2007; 48
Thal, Rub, Orantes, Braak (CR17) 2002; 58
Petersen, Doody, Kurz, Mohs, Morris, Rabins (CR23) 2001; 58
Kemppainen, Aalto, Wilson, Nagren, Helin, Bruck (CR12) 2007; 68
Selkoe (CR1) 1997; 275
Friston, Frith, Liddle, Frackowiak (CR42) 1991; 11
de Leon, Mosconi, Blennow, DeSanti, Zinkowski, Mehta (CR3) 2007; 1097
Rowe, Ng, Ackermann, Gong, Pike, Savage (CR11) 2007; 68
CR41
Tsui, Rusinek, Van Gelder, Lebedev (CR28) 2001; 4322
Benson, Kuhl, Hawkins, Phelps, Cummings, Tsai (CR31) 1983; 40
Good, Johnsrude, Ashburner, Henson, Friston, Frackowiak (CR30) 2001; 14
Bennett, Schneider, Tang, Arnold, Wilson (CR19) 2006; 5
Joachim, Morris, Selkoe (CR32) 1989; 135
Woods, Grafton, Watson, Sicotte, Mazziotta (CR29) 1998; 22
Nestor, Fryer, Ikeda, Hodges (CR38) 2003; 18
Mirra, Heyman, McKeel, Sumi, Crain, Brownlee (CR2) 1991; 41
Logan, Fowler, Volkow, Wolf, Dewey, Schlyer (CR24) 1990; 10
SK Ziolko (833_CR34) 2006; 33
P Edison (833_CR35) 2007; 68
JR Cockrell (833_CR22) 1988; 24
MJ de Leon (833_CR3) 2007; 1097
L Sokoloff (833_CR8) 1977; 29
SS Mirra (833_CR2) 1991; 41
WE Klunk (833_CR14) 2004; 55
JC Morris (833_CR16) 1996; 46
G McKhann (833_CR20) 1984; 34
DF Benson (833_CR31) 1983; 40
DA Bennett (833_CR19) 2006; 5
S Minoshima (833_CR40) 1994; 344
L Mosconi (833_CR7) 2005; 64
RP Woods (833_CR29) 1998; 22
NM Kemppainen (833_CR12) 2007; 68
J Logan (833_CR24) 1990; 10
H Braak (833_CR18) 1991; 82
RP Woods (833_CR27) 1993; 17
CC Rowe (833_CR11) 2007; 68
S Minoshima (833_CR4) 1997; 42
CD Good (833_CR30) 2001; 14
CL Joachim (833_CR32) 1989; 135
DJ Selkoe (833_CR1) 1997; 275
S De Santi (833_CR6) 2001; 22
S Larrieu (833_CR10) 2002; 59
WH Tsui (833_CR28) 2001; 4322
NP Verhoeff (833_CR13) 2004; 12
RC Petersen (833_CR23) 2001; 58
CS Patlak (833_CR26) 1983; 3
A Drzezga (833_CR39) 2003; 30
833_CR41
A Delacourte (833_CR15) 1999; 52
MJ de Leon (833_CR37) 2001; 98
American Psychiatric Association (833_CR21) 1994
DR Thal (833_CR17) 2002; 58
S Ng (833_CR36) 2007; 48
PJ Nestor (833_CR38) 2003; 18
L Mosconi (833_CR9) 2005; 32
BJ Lopresti (833_CR25) 2005; 46
WE Klunk (833_CR33) 2003; 23
KJ Friston (833_CR42) 1991; 11
PJ Nestor (833_CR5) 2003; 54
References_xml – volume: 30
  start-page: 1104
  year: 2003
  end-page: 13
  ident: CR39
  article-title: Cerebral metabolic changes accompanying conversion of mild cognitive impairment into Alzheimer's disease: a PET follow-up study
  publication-title: Eur J Nucl Med Mol Imaging
  doi: 10.1007/s00259-003-1194-1
– volume: 24
  start-page: 689
  year: 1988
  end-page: 92
  ident: CR22
  article-title: Mini-Mental State Examination (MMSE)
  publication-title: Psychopharmacol Bull
– volume: 52
  start-page: 1158
  year: 1999
  end-page: 65
  ident: CR15
  article-title: The biochemical pathway of neurofibrillary degeneration in aging and Alzheimer’s disease
  publication-title: Neurology
– volume: 344
  start-page: 895
  year: 1994
  ident: CR40
  article-title: Posterior cingulate cortex in Alzheimer’s disease
  publication-title: Lancet
  doi: 10.1016/S0140-6736(94)92871-1
– volume: 29
  start-page: 13
  year: 1977
  end-page: 26
  ident: CR8
  article-title: Relation between physiological function and energy metabolism in the central nervous system
  publication-title: J Neurochem
  doi: 10.1111/j.1471-4159.1977.tb03919.x
– volume: 58
  start-page: 1791
  year: 2002
  end-page: 1800
  ident: CR17
  article-title: Phases of A beta-deposition in the human brain and its relevance for the development of AD
  publication-title: Neurology
– volume: 17
  start-page: 536
  year: 1993
  end-page: 46
  ident: CR27
  article-title: MRI-PET registration with automated algorithm
  publication-title: J Comput Assist Tomogr
  doi: 10.1097/00004728-199307000-00004
– volume: 23
  start-page: 2086
  year: 2003
  end-page: 92
  ident: CR33
  article-title: The binding of 2-(4'-methylaminophenyl)benzothiazole to postmortem brain homogenates is dominated by the amyloid component
  publication-title: J Neurosci
– volume: 22
  start-page: 529
  year: 2001
  end-page: 39
  ident: CR6
  article-title: Hippocampal formation glucose metabolism and volume losses in MCI and AD
  publication-title: Neurobiol Aging
  doi: 10.1016/S0197-4580(01)00230-5
– volume: 41
  start-page: 479
  year: 1991
  end-page: 86
  ident: CR2
  article-title: The Consortium to Establish a Registry for Alzheimer’s Disease (CERAD). Part II. Standardization of the neuropathologic assessment of Alzheimer's disease
  publication-title: Neurology
– volume: 14
  start-page: 21
  year: 2001
  end-page: 36
  ident: CR30
  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: 34
  start-page: 939
  year: 1984
  end-page: 44
  ident: CR20
  article-title: Clinical diagnosis of Alzheimer’s disease: report of the NINCDS-ADRDA Work Group under the auspices of Department of Health and Human Services Task Force on Alzheimer's Disease
  publication-title: Neurology
– volume: 64
  start-page: 1860
  year: 2005
  end-page: 7
  ident: CR7
  article-title: Reduced hippocampal metabolism in MCI and AD: automated FDG-PET image analysis
  publication-title: Neurology
  doi: 10.1212/01.WNL.0000163856.13524.08
– volume: 98
  start-page: 10966
  year: 2001
  end-page: 71
  ident: CR37
  article-title: Prediction of cognitive decline in normal elderly subjects with 2-(18)Ffluoro-2-deoxy- -glucose/poitron-emission tomography (FDG/PET)
  publication-title: Proc Natl Acad Sci U S A
  doi: 10.1073/pnas.191044198
– volume: 46
  start-page: 707
  year: 1996
  end-page: 19
  ident: CR16
  article-title: Cerebral amyloid deposition and diffuse plaques in “normal” aging: evidence for presymptomatic and very mild Alzheimer’s disease
  publication-title: Neurology
– volume: 58
  start-page: 1985
  year: 2001
  end-page: 92
  ident: CR23
  article-title: Current concepts in mild cognitive impairment
  publication-title: Arch Neurol
  doi: 10.1001/archneur.58.12.1985
– volume: 11
  start-page: 690
  year: 1991
  end-page: 9
  ident: CR42
  article-title: Comparing functional (PET) images: the assessment of significant change
  publication-title: J Cereb Blood Flow Metab
– start-page: 143
  year: 1994
  end-page: 7
  ident: CR21
  publication-title: Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (DSM-IV)
– volume: 10
  start-page: 740
  year: 1990
  end-page: 7
  ident: CR24
  article-title: Graphical analysis of reversible radioligand binding from time-activity measurements applied to N-11C-methyl-(−)-cocaine PET studies in human subjects
  publication-title: J Cereb Blood Flow Metab
– volume: 68
  start-page: 501
  year: 2007
  end-page: 8
  ident: CR35
  article-title: Amyloid, hypometabolism, and cognition in Alzheimer’s disease: An [11C]PIB and [18F]FDG PET study
  publication-title: Neurology.
  doi: 10.1212/01.wnl.0000244749.20056.d4
– volume: 48
  start-page: 547
  year: 2007
  end-page: 52
  ident: CR36
  article-title: Visual assessment versus quantitative assessment of 11C-PIB PET and 18F-FDG PET for detection of Alzheimer’s disease
  publication-title: J Nucl Med.
  doi: 10.2967/jnumed.106.037762
– volume: 1097
  start-page: 114
  year: 2007
  end-page: 45
  ident: CR3
  article-title: Imaging and CSF studies in the preclinical diagnosis of Alzheimer’s disease
  publication-title: Ann N Y Acad Sci
  doi: 10.1196/annals.1379.012
– volume: 275
  start-page: 630
  year: 1997
  end-page: 1
  ident: CR1
  article-title: Alzheimer’s disease: genotypes, phenotypes, and treatments
  publication-title: Science
  doi: 10.1126/science.275.5300.630
– volume: 32
  start-page: 486
  year: 2005
  end-page: 510
  ident: CR9
  article-title: Brain glucose metabolism in the early and specific diagnosis of Alzheimer’s disease. FDG-PET studies in MCI and AD
  publication-title: Eur J Nucl Med Mol Imaging
  doi: 10.1007/s00259-005-1762-7
– volume: 22
  start-page: 153
  year: 1998
  end-page: 65
  ident: CR29
  article-title: Automated image registration: II. Intersubject validation of linear and nonlinear models
  publication-title: J Comput Assist Tomogr
  doi: 10.1097/00004728-199801000-00028
– volume: 18
  start-page: 2663
  year: 2003
  end-page: 7
  ident: CR38
  article-title: Retrosplenial cortex (BA 29/30) hypometabolism in mild cognitive impairment (prodromal Alzheimer’s disease)
  publication-title: Eur J Neurosci
  doi: 10.1046/j.1460-9568.2003.02999.x
– volume: 4322
  start-page: 1725
  year: 2001
  end-page: 34
  ident: CR28
  article-title: Analyzing multimodality tomographic images and associated regions of interest with MIDAS
  publication-title: Proc SPIE Med Imaging: Image Processing
– volume: 5
  start-page: 406
  year: 2006
  end-page: 12
  ident: CR19
  article-title: The effect of social networks on the relation between Alzheimer’s disease pathology and level of cognitive function in old people: a longitudinal cohort study
  publication-title: Lancet Neurol
  doi: 10.1016/S1474-4422(06)70417-3
– volume: 42
  start-page: 85
  year: 1997
  end-page: 94
  ident: CR4
  article-title: Metabolic reduction in the posterior cingulate cortex in very early Alzheimer’s disease
  publication-title: Ann Neurol
  doi: 10.1002/ana.410420114
– volume: 54
  start-page: 343
  year: 2003
  end-page: 51
  ident: CR5
  article-title: Limbic hypometabolism in Alzheimer’s disease and mild cognitive impairment
  publication-title: Ann Neurol
  doi: 10.1002/ana.10669
– volume: 82
  start-page: 239
  year: 1991
  end-page: 59
  ident: CR18
  article-title: Neuropathological stageing of Alzheimer-related changes
  publication-title: Acta Neuropathol (Berl)
  doi: 10.1007/BF00308809
– volume: 68
  start-page: 1603
  year: 2007
  end-page: 06
  ident: CR12
  article-title: PET amyloid ligand 11CPIB uptake is increased in mild cognitive impairment
  publication-title: Neurology
  doi: 10.1212/01.wnl.0000260969.94695.56
– volume: 40
  start-page: 711
  year: 1983
  end-page: 4
  ident: CR31
  article-title: The fluorodeoxyglucose 18F scan in Alzheimer’s disease and multi-infarct dementia
  publication-title: Arch Neurol
– volume: 33
  start-page: 94
  year: 2006
  end-page: 102
  ident: CR34
  article-title: Evaluation of voxel-based methods for the statistical analysis of PIB PET amyloid imaging studies in Alzheimer’s disease
  publication-title: Neuroimage
  doi: 10.1016/j.neuroimage.2006.05.063
– volume: 68
  start-page: 1718
  year: 2007
  end-page: 25
  ident: CR11
  article-title: Imaging beta-amyloid burden in aging and dementia
  publication-title: Neurology
  doi: 10.1212/01.wnl.0000261919.22630.ea
– volume: 12
  start-page: 584
  year: 2004
  end-page: 95
  ident: CR13
  article-title: In-vivo imaging of Alzheimer disease beta-amyloid with 11CSB-13 PET
  publication-title: Am J Geriatr Psychiatry
  doi: 10.1176/appi.ajgp.12.6.584
– volume: 55
  start-page: 306
  year: 2004
  end-page: 19
  ident: CR14
  article-title: Imaging brain amyloid in Alzheimer’s disease with Pittsburgh Compound-B
  publication-title: Ann Neurol
  doi: 10.1002/ana.20009
– volume: 46
  start-page: 1959
  year: 2005
  end-page: 72
  ident: CR25
  article-title: Simplified quantification of Pittsburgh Compound B amyloid imaging PET studies: a comparative analysis
  publication-title: J Nucl Med
– volume: 135
  start-page: 309
  year: 1989
  end-page: 19
  ident: CR32
  article-title: Diffuse senile plaques occur commonly in the cerebellum in Alzheimer’s disease
  publication-title: Am J Pathol
– volume: 3
  start-page: 1
  year: 1983
  end-page: 7
  ident: CR26
  article-title: Graphical evaluation of blood-to-brain transfer constants from multiple-time uptake data
  publication-title: J Cereb Blood Flow Metab
– ident: CR41
– volume: 59
  start-page: 1594
  year: 2002
  end-page: 99
  ident: CR10
  article-title: Incidence and outcome of mild cognitive impairment in a population-based prospective cohort
  publication-title: Neurology
– volume: 42
  start-page: 85
  year: 1997
  ident: 833_CR4
  publication-title: Ann Neurol
  doi: 10.1002/ana.410420114
– volume: 1097
  start-page: 114
  year: 2007
  ident: 833_CR3
  publication-title: Ann N Y Acad Sci
  doi: 10.1196/annals.1379.012
– volume: 82
  start-page: 239
  year: 1991
  ident: 833_CR18
  publication-title: Acta Neuropathol (Berl)
  doi: 10.1007/BF00308809
– volume: 14
  start-page: 21
  year: 2001
  ident: 833_CR30
  publication-title: Neuroimage
  doi: 10.1006/nimg.2001.0786
– volume: 4322
  start-page: 1725
  year: 2001
  ident: 833_CR28
  publication-title: Proc SPIE Med Imaging: Image Processing
  doi: 10.1117/12.431059
– volume: 23
  start-page: 2086
  year: 2003
  ident: 833_CR33
  publication-title: J Neurosci
  doi: 10.1523/JNEUROSCI.23-06-02086.2003
– volume: 275
  start-page: 630
  year: 1997
  ident: 833_CR1
  publication-title: Science
  doi: 10.1126/science.275.5300.630
– volume: 22
  start-page: 529
  year: 2001
  ident: 833_CR6
  publication-title: Neurobiol Aging
  doi: 10.1016/S0197-4580(01)00230-5
– volume: 46
  start-page: 707
  year: 1996
  ident: 833_CR16
  publication-title: Neurology
  doi: 10.1212/WNL.46.3.707
– volume: 34
  start-page: 939
  year: 1984
  ident: 833_CR20
  publication-title: Neurology
  doi: 10.1212/WNL.34.7.939
– volume: 55
  start-page: 306
  year: 2004
  ident: 833_CR14
  publication-title: Ann Neurol
  doi: 10.1002/ana.20009
– volume: 33
  start-page: 94
  year: 2006
  ident: 833_CR34
  publication-title: Neuroimage
  doi: 10.1016/j.neuroimage.2006.05.063
– volume: 11
  start-page: 690
  year: 1991
  ident: 833_CR42
  publication-title: J Cereb Blood Flow Metab
  doi: 10.1038/jcbfm.1991.122
– volume: 58
  start-page: 1791
  year: 2002
  ident: 833_CR17
  publication-title: Neurology
  doi: 10.1212/WNL.58.12.1791
– volume: 48
  start-page: 547
  year: 2007
  ident: 833_CR36
  publication-title: J Nucl Med.
  doi: 10.2967/jnumed.106.037762
– volume: 58
  start-page: 1985
  year: 2001
  ident: 833_CR23
  publication-title: Arch Neurol
  doi: 10.1001/archneur.58.12.1985
– volume: 64
  start-page: 1860
  year: 2005
  ident: 833_CR7
  publication-title: Neurology
  doi: 10.1212/01.WNL.0000163856.13524.08
– volume: 12
  start-page: 584
  year: 2004
  ident: 833_CR13
  publication-title: Am J Geriatr Psychiatry
  doi: 10.1176/appi.ajgp.12.6.584
– volume: 29
  start-page: 13
  year: 1977
  ident: 833_CR8
  publication-title: J Neurochem
  doi: 10.1111/j.1471-4159.1977.tb03919.x
– start-page: 143
  volume-title: Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (DSM-IV)
  year: 1994
  ident: 833_CR21
– ident: 833_CR41
  doi: 10.4135/9781412983808
– volume: 41
  start-page: 479
  year: 1991
  ident: 833_CR2
  publication-title: Neurology
  doi: 10.1212/WNL.41.4.479
– volume: 68
  start-page: 1718
  year: 2007
  ident: 833_CR11
  publication-title: Neurology
  doi: 10.1212/01.wnl.0000261919.22630.ea
– volume: 68
  start-page: 501
  year: 2007
  ident: 833_CR35
  publication-title: Neurology.
  doi: 10.1212/01.wnl.0000244749.20056.d4
– volume: 3
  start-page: 1
  year: 1983
  ident: 833_CR26
  publication-title: J Cereb Blood Flow Metab
  doi: 10.1038/jcbfm.1983.1
– volume: 59
  start-page: 1594
  year: 2002
  ident: 833_CR10
  publication-title: Neurology
  doi: 10.1212/01.WNL.0000034176.07159.F8
– volume: 68
  start-page: 1603
  year: 2007
  ident: 833_CR12
  publication-title: Neurology
  doi: 10.1212/01.wnl.0000260969.94695.56
– volume: 98
  start-page: 10966
  year: 2001
  ident: 833_CR37
  publication-title: Proc Natl Acad Sci U S A
  doi: 10.1073/pnas.191044198
– volume: 344
  start-page: 895
  year: 1994
  ident: 833_CR40
  publication-title: Lancet
  doi: 10.1016/S0140-6736(94)92871-1
– volume: 32
  start-page: 486
  year: 2005
  ident: 833_CR9
  publication-title: Eur J Nucl Med Mol Imaging
  doi: 10.1007/s00259-005-1762-7
– volume: 10
  start-page: 740
  year: 1990
  ident: 833_CR24
  publication-title: J Cereb Blood Flow Metab
  doi: 10.1038/jcbfm.1990.127
– volume: 40
  start-page: 711
  year: 1983
  ident: 833_CR31
  publication-title: Arch Neurol
  doi: 10.1001/archneur.1983.04050110029003
– volume: 22
  start-page: 153
  year: 1998
  ident: 833_CR29
  publication-title: J Comput Assist Tomogr
  doi: 10.1097/00004728-199801000-00028
– volume: 18
  start-page: 2663
  year: 2003
  ident: 833_CR38
  publication-title: Eur J Neurosci
  doi: 10.1046/j.1460-9568.2003.02999.x
– volume: 54
  start-page: 343
  year: 2003
  ident: 833_CR5
  publication-title: Ann Neurol
  doi: 10.1002/ana.10669
– volume: 24
  start-page: 689
  year: 1988
  ident: 833_CR22
  publication-title: Psychopharmacol Bull
– volume: 30
  start-page: 1104
  year: 2003
  ident: 833_CR39
  publication-title: Eur J Nucl Med Mol Imaging
  doi: 10.1007/s00259-003-1194-1
– volume: 52
  start-page: 1158
  year: 1999
  ident: 833_CR15
  publication-title: Neurology
  doi: 10.1212/WNL.52.6.1158
– volume: 46
  start-page: 1959
  year: 2005
  ident: 833_CR25
  publication-title: J Nucl Med
– volume: 17
  start-page: 536
  year: 1993
  ident: 833_CR27
  publication-title: J Comput Assist Tomogr
  doi: 10.1097/00004728-199307000-00004
– volume: 135
  start-page: 309
  year: 1989
  ident: 833_CR32
  publication-title: Am J Pathol
– volume: 5
  start-page: 406
  year: 2006
  ident: 833_CR19
  publication-title: Lancet Neurol
  doi: 10.1016/S1474-4422(06)70417-3
SSID ssj0018289
Score 2.394608
Snippet Objective The objective of the study is to compare the diagnostic value of regional sampling of the cerebral metabolic rate of glucose metabolism (MRglc) using...
The objective of the study is to compare the diagnostic value of regional sampling of the cerebral metabolic rate of glucose metabolism (MRglc) using...
Abstract; Objective; Materials and methods; Results; Conclusion The objective of the study is to compare the diagnostic value of regional sampling of the...
SourceID pubmedcentral
proquest
pubmed
crossref
springer
SourceType Open Access Repository
Aggregation Database
Index Database
Enrichment Source
Publisher
StartPage 2169
SubjectTerms Aged
Aged, 80 and over
Aging - physiology
Alzheimer Disease - diagnostic imaging
Alzheimer Disease - metabolism
Alzheimer's disease
Anatomy & physiology
Aniline Compounds
Benzothiazoles - metabolism
Brain - diagnostic imaging
Brain - metabolism
Brain research
Cardiology
Cognition Disorders - diagnostic imaging
Cognition Disorders - metabolism
Cognition Disorders - pathology
Dementia
Female
Fluorodeoxyglucose F18 - metabolism
Humans
Imaging
Male
Medical imaging
Medicine
Medicine & Public Health
Middle Aged
NMR
Nuclear magnetic resonance
Nuclear Medicine
Oncology
Original
Original Article
Orthopedics
Positron-Emission Tomography
Radiology
Regression Analysis
Sensitivity and Specificity
Thiazoles
Tomography
SummonAdditionalLinks – databaseName: ProQuest Central
  dbid: BENPR
  link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV3dT9swED8xkKa9oAH7COzDD9MmbVhLE8exHyZUtnZsEqhCIPEW2Y4DkdoE2vLQ_fU7u0lQh9bHyGfJOZ_P9-X7AXxINSq5npC0Z1VCmUgk1ZxxqnuRNpylVhhfbXHGTy7Z76vkagNO27cwrqyy1YleUee1cTHyrw6AGi93yY5u76gDjXLJ1RZBQzXICvk332HsCWyhRhYo9lvHg7PReZdWcO6F88DQa6ApCnub5gx9V1H0BKivBhBxTBerF9Uj6_NxEeU_mVR_QQ2fw3ZjWZL-UhR2YMNWu7DXr9CrnizIR-JrPX0QfReenjYp9T2oz-21DwcS1fQnIXVBhj9-4ndORr-O6WhwQcoJ6p0ZKStSOSMXiR240SGZlOOcdCVIxL25LKcu4Hjop_fHf25sObHTTzPSpIJewOVwcPH9hDYoDNQknM0p-hRcFlIYGeU8tEzEyvQSdMgljiijI42DKo6UyAtRhFaaOOcKea0YK3SUxy9hs6or-xoIR2YpJZ0bJNBMC4WVMUsLqWXICyN5AGHL8sw0LcodUsY465or-13KPHQm7lK2COBzN-V22Z9jHfFBu49Zc1RnWSdYAbzvRvGMucSJqmx9jyQhXtqCraFwMJwuuR7Aq6VUPCxGoMGMZlcA6Yq8dASuv_fqSFXe-D7fEUf2hFEAX1rJelj1f_9xf-0_HsAzX_Di63HewOZ8em_folU11--as_IX_V8exg
  priority: 102
  providerName: ProQuest
Title Regional analysis of FDG and PIB-PET images in normal aging, mild cognitive impairment, and Alzheimer’s disease
URI https://link.springer.com/article/10.1007/s00259-008-0833-y
https://www.ncbi.nlm.nih.gov/pubmed/18566819
https://www.proquest.com/docview/214651494
https://www.proquest.com/docview/20299844
https://www.proquest.com/docview/69892421
https://pubmed.ncbi.nlm.nih.gov/PMC2693402
Volume 35
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1Lb9QwEB7RVkJcEG_SwuIDJ6ilPBzHPu62mxYkqlXVSnuLbMdpI-1mYXd7aE_8Df4ev4SxN5tqW6jEJVE048jxI_7G33gG4GOm8ScXCUkjq1LKRCqp5oxTHcXacJZZYby3xQk_Pmdfx-m4DRbtzsLc4e9dsE8E6NST9CJJ6PUW7KRRwj0vyw86wsAZDs62QnuAZjiM1wTm316xuQTdw5X33SPvcKR-6cmfwdMWM5L-qpOfwyPbvIDH31pW_CX8OLUXfkePqDbECJlVJD88wueSjL4M6Gh4Ruop_joWpG5I43AqKrv8RPtkWk9K0nkREXdssp67PcN9X7w_ubm09dTOf__8tSAtn_MKzvPh2cExbVMpUJNytqRoGHBZSWFkXPLQMpEoE6VoVUuUKKNjjUKVxEqUlahCK01ScoXNqhirdFwmr2G7mTX2LRCO7aKUdLaMQKwVCisTllVSy5BXRvIAwnXrFqaNM-7SXUyKLkKy75DC57_EDimuA_jUFfm-CrLxkPLeusuKdr4tCpeeHKGfZAF86KQ4URz7oRo7u0KVEFdewR7QcLk0HUMewJvVALitjEDUi9gpgGxjaHQKLkj3pqSpL32w7phj84RxAJ_Xg-i21v_8xt3_0t6DJ96LxTvZvIPt5fzKvkeotNQ92MrGGV5FftSDnf7gcJDjfTA8GZ32_AT6A-oXEJ8
linkProvider Springer Nature
linkToHtml http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV3db9MwED-NTgJeEGx8hAHzAx8SzCIfjms_TKhjLS3bqmrqpL1lTuKwSG062k6o_G_8b5zdJFOZ6NseI58j23c-3_nO9wN424xRyXlCUk-rkDIRShpzxmns-XHCWVOLxGZb9Hn3jH0_D8834E_1FsakVVY60SrqdJKYO_LPBoAaD3fJvlz9pAY0ygRXKwQNVSIrpPu2wlj5ruNIL36hBzfb7x0iu9_5fqc9_NqlJcgATULO5hRNZi4zKRLpp9zVTAQq8UL0NyW2qCT2Y2xUga9EmonM1TIJUq5cTyjGsthPA_zvPdhk5oFrAzYP2v3BaR3GMO6M8fjQS6FN3FxVWNW1VUzR86A2-0AEAV2sHoy3rN3bSZv_RG7tgdh5DI9KS5a0lqL3BDZ0sQXbrQK9-PGCvCc2t9Re2m_B_ZMyhL8Nk1P9w14_ElXWQyGTjHQOv-F3Sga9AzpoD0k-Rj03I3lBCmNUI7EBU9oj43yUkjrliZg3nvnUXHDu2e6t0e9LnY_19MOMlKGnp3B2Jwx5Bo1iUugXQDgullLSuF0CGeQKLQPWzGQsXZ4lkjvgVkseJWVJdIPMMYrqYs6WS5GF6kQuRQsHPtZdrpb1QNYR71R8jErVMItqQXZgt27FPW0CNarQk2skcdFIEGwNhYH9NMF8B54vpeJmMAINdDTzHGiuyEtNYOqJr7YU-aWtK-5zXB7Xd-BTJVk3o_7vHF-uneMuPOgOT46j417_aAce2mQbmwv0Chrz6bV-jRbdPH5T7hsCF3e9Vf8CIJZcQw
linkToPdf http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV3db9MwED-NTpp4QbDxEQbMD3xIMGtp4jr2w4Q62rIyqKppk_YWnMRhkdp0tJ1Q-Q_5rzi7TqYy0bc9Rj5Hie_Dd76f7wBeRwkauaaQtKlVizLRkjThjNOkGSQpZ5EWqUVbDPjxOfty0brYgD_VXRgDq6xsojXU2SQ1Z-QHpgE1bu6SHeQOFTHs9D5e_aSmgZRJtFbdNJTrspAd2mpj7o7HiV78wmhudtjvIOvfBEGve_bpmLqGAzRtcTan6D5zmUuRyiDjvmYiVGmzhbGnxBGVJkGCgyoMlMhykftapmHGld8UirE8CbIQ33sPNiPcJFkDNo-6g-FpndIwoY2J_jBioREqWpVi9W1FU4xCqEUiiDCki9VN8pbnexvA-U8W126OvYfwwHm1pL0Uw0ewoctt2GmXGNGPF-QtsThTe4C_DVvfXDp_Byan-oc9iiTK1UYhk5z0Op_xOSPD_hEdds9IMUabNyNFSUrjYCOxaay0T8bFKCM1_ImY-57F1Bx27tvp7dHvS12M9fTdjLg01GM4vxOGPIFGOSn1MyAcF0spaUIwgS6iL7QMWZTLRPo8TyX3wK-WPE5deXTTpWMU14WdLZdi27YTuRQvPHhfT7la1gZZR7xb8TF2ZmIW10LtwV49ivptkjaq1JNrJPHRYRBsDYVpAWoS-x48XUrFzccIdNbR5fMgWpGXmsDUFl8dKYtLW2M84Lg8fuDBh0qybr76v__4fO0_7sEWqmz8tT842YX7FndjYUEvoDGfXuuX6NzNk1dObQh8v2tN_QtT42Bv
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Regional+analysis+of+FDG+and+PIB-PET+images+in+normal+aging%2C+mild+cognitive+impairment%2C+and+Alzheimer%E2%80%99s+disease&rft.jtitle=European+journal+of+nuclear+medicine+and+molecular+imaging&rft.au=Li%2C+Yi&rft.au=Rinne%2C+Juha+O.&rft.au=Mosconi%2C+Lisa&rft.au=Pirraglia%2C+Elizabeth&rft.date=2008-12-01&rft.pub=Springer-Verlag&rft.issn=1619-7070&rft.eissn=1619-7089&rft.volume=35&rft.issue=12&rft.spage=2169&rft.epage=2181&rft_id=info:doi/10.1007%2Fs00259-008-0833-y&rft.externalDocID=10_1007_s00259_008_0833_y
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1619-7070&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1619-7070&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1619-7070&client=summon