Effects of age on the glucose metabolic changes in mild cognitive impairment
Open accessAbstract
BACKGROUND AND PURPOSE: Decreased glucose metabolism in the temporal and parietal lobes on FDG-PET is recognized as an early imaging marker for the AD pathology. Our objective was to investigate the effects of age on FDG-PET findings in aMCI. MATERIALS AND METHODS: Twenty-five patients with aMCI at 55–86 years of age (median = 73 years) and 25 age- and sex-matched CN subjects underwent FDG-PET. SPM5 was used to compare the FDG uptake in patients in aMCI-old (>73 years) and aMCI-young (≤73 years) groups with CN subjects. The findings in the aMCI-old patients were independently validated in a separate cohort of 10 aMCI and 13 CN subjects older than 73 years of age. RESULTS: The pattern of decreased glucose metabolism and gray matter atrophy in the medial temporal, posterior cingulate, precuneus, lateral parietal, and temporal lobes in aMCI-young subjects was consistent with the typical pattern observed in AD. The pattern of glucose metabolic changes in aMCI-old subjects was different, predominantly involving the frontal lobes and the left parietal lobe. Gray matter atrophy in aMCI-old subjects was less pronounced than that in the aMCI-young subjects, involving the hippocampus and the basal forebrain in both hemispheres CONCLUSIONS: Pathologic heterogeneity may be underlying the absence of AD-like glucose metabolic changes in older compared with younger patients with aMCI. This may be an important consideration for the clinical use of temporoparietal hypometabolism on FDG-PET as a marker for early diagnosis of AD in aMCI.
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Regional reductions in brain glucose utilization occur with aging and to a greater extent in MCI and AD.
“Regional reductions in brain glucose utilization occur with aging and to a greater extent in MCI and AD [185-193].”
From The Alzheimer’s disease mitochondrial cascade hypothesis: progress and perspectives (2014) · cites this paper as [190]
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Tzourio-Mazoyer, N., Landeau, B., Papathanassiou, D., Crivello, F., Etard, O., Delcroix, N., Mazoyer, B., & Joliot, M. (2002) · NeuroImage · doi:10.1006/nimg.2001.0978 · Cited by 16,319 · see citing works
Ashburner, J., & Friston, K. J. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.02.018 · Cited by 7,507 · see citing works
Petersen, R. C., Stevens, J. C., Ganguli, M., Tangalos, E. G., Cummings, J. L., & DeKosky, S. T. (2001) · Neurology · doi:10.1212/wnl.56.9.1133 · Cited by 2,065 · see citing works
Mixed brain pathologies account for most dementia cases in community-dwelling older persons
Schneider, J. A., Arvanitakis, Z., Bang, W., & Bennett, D. A. (2007) · Neurology · doi:10.1212/01.wnl.0000271090.28148.24 · Cited by 1,992 · see citing works
Metabolic reduction in the posterior cingulate cortex in very early Alzheimer's disease
Minoshima, S., Giordani, B., Berent, S., Frey, K. A., Foster, N. L., & Kuhl, D. E. (1997) · Annals of Neurology · doi:10.1002/ana.410420114 · Cited by 1,802 · see citing works
Natural history of mild cognitive impairment in older persons
Bennett, D. A., Wilson, R. S., Schneider, J. A., Evans, D. A., Beckett, L. A., Aggarwal, N. T., Barnes, L. L., Fox, J. H., & Bach, J. (2002) · Neurology · doi:10.1212/wnl.59.2.198 · Cited by 1,037 · see citing works
Positron Emission Tomography in Evaluation of Dementia
Silverman, D. H. S., Small, G. W., Chang, C. Y., Lu, C. S., de Aburto, M. A. K., Chen, W., Czernin, J. G., Rapoport, S. I., Pietrini, P., Alexander, G. E., et al. (2001) · JAMA · doi:10.1001/jama.286.17.2120 · Cited by 939 · see citing works
Age, Neuropathology, and Dementia
Savva, G. M., Wharton, S. B., Ince, P. G., Forster, G., Matthews, F. E., & Brayne, C. (2009) · New England Journal of Medicine · doi:10.1056/nejmoa0806142 · Cited by 900 · see citing works
Roberts, R. O., Geda, Y. E., Knopman, D. S., Cha, R. H., Pankratz, V. S., Boeve, B. F., Ivnik, R. J., Tangalos, E. G., Petersen, R. C., & Rocca, W. A. (2008) · Neuroepidemiology · doi:10.1159/000115751 · Cited by 796 · see citing works
Neuropathologic Features of Amnestic Mild Cognitive Impairment
Petersen, R. C., Parisi, J. E., Dickson, D. W., Johnson, K. A., Knopman, D. S., Boeve, B. F., Jicha, G. A., Ivnik, R. J., Smith, G. E., Tangalos, E. G., et al. (2006) · Archives of Neurology · doi:10.1001/archneur.63.5.665 · Cited by 616 · see citing works
Chételat, G., Desgranges, B., Sayette, V. D. L., Viader, F., Eustache, F., & Baron, J. (2003) · Neurology · doi:10.1212/01.wnl.0000055847.17752.e6 · Cited by 604 · see citing works
Siebner, H. R., Riemenschneider, M. J., Willoch, F., Minoshima, S., Schwaiger, M., Kurz, A., Drzezga, A. E., & Lautenschlager, N. T. (2003) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-003-1194-1 · Cited by 603 · see citing works
Hippocampal formation glucose metabolism and volume losses in MCI and AD
De Santi, S., de Leon, M. J., Rusinek, H., Convit, A., Tarshish, C. Y., Roche, A., Tsui, W. H., Kandil, E., Boppana, M., Daisley, K., et al. (2001) · Neurobiology of Aging · doi:10.1016/s0197-4580(01)00230-5 · Cited by 548 · see citing works
Morris, J. C., & Price, J. L. (2001) · Journal of Molecular Neuroscience · doi:10.1385/jmn:17:2:101 · Cited by 513 · see citing works
Alzheimer's disease diagnosis in individual subjects using structural MR images: Validation studies
Vemuri, P., Gunter, J. L., Senjem, M. L., Whitwell, J. L., Kantarci, K., Knopman, D. S., Boeve, B. F., Petersen, R. C., & Jack, C. R. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.09.073 · Cited by 455 · see citing works
Limbic hypometabolism in Alzheimer's disease and mild cognitive impairment
Nestor, P. J., Fryer, T. D., Smielewski, P. S., & Hodges, J. R. (2003) · Annals of Neurology · doi:10.1002/ana.10669 · Cited by 414 · see citing works
Neuropathologic Outcome of Mild Cognitive Impairment Following Progression to Clinical Dementia
Jicha, G. A., Parisi, J. E., Dickson, D. W., Johnson, K., Cha, R., Ivnik, R. J., Tangalos, E. G., Boeve, B. F., Knopman, D. S., Braak, H., et al. (2006) · Archives of Neurology · doi:10.1001/archneur.63.5.674 · Cited by 399 · see citing works
FDG PET imaging in patients with pathologically verified dementia.
Hoffman, J. M., Welsh-Bohmer, K. A., Hanson, M., Crain, B. J., Hulette, C. M., Earl, N., & Coleman, R. E. (2000) · PubMed · Cited by 350 · see citing works
Anchisi, D., Borroni, B., Franceschi, M., Kerrouche, N., Kalbe, E., Beuthien-Beumann, B., Cappa, S. F., Lenz, O., Lüdecke, S., Marcone, A., et al. (2005) · Archives of Neurology · doi:10.1001/archneur.62.11.1728 · Cited by 320 · see citing works
What does fluorodeoxyglucose PET imaging add to a clinical diagnosis of dementia?
Jagust, W. J., Reed, B., Mungas, D., Ellis, W. G., & DeCarli, C. S. (2007) · Neurology · doi:10.1212/01.wnl.0000269790.05105.16 · Cited by 299 · see citing works
Longitudinal course and neuropathologic outcomes in original vs revised MCI and in pre-MCI
Storandt, M., Grant, E., Miller, J. P., & Morris, J. C. (2006) · Neurology · doi:10.1212/01.wnl.0000228231.26111.6e · Cited by 285 · see citing works
Comparative evaluation of MR-based partial-volume correction schemes for PET.
MELTZER, C. C., Kinahan, P. E., Greer, P. J., Nichols, T. E., Comtat, C., Cantwell, M. N., Lin, M., & Price, J. C. (1999) · PubMed · Cited by 254 · see citing works
The Role of Biomarkers in Clinical Trials for Alzheimer Disease
Thal, L. J., Kantarci, K., Reiman, E. M., Klunk, W. E., Weiner, M. W., Zetterberg, H., Galasko, D., Praticò, D., Griffin, S. T., Schenk, D., et al. (2006) · Alzheimer Disease & Associated Disorders · doi:10.1097/01.wad.0000191420.61260.a8 · Cited by 233 · see citing works
Kim, E. J., Cho, S. S., Jeong, Y., Park, K. C., Kang, S. J., Kang, E., Kim, S., Lee, K. H., & Na, D. L. (2005) · Brain · doi:10.1093/brain/awh539 · Cited by 232 · see citing works
Early detection of Alzheimer’s disease using neuroimaging
Mosconi, L., Bryś, M., Głodzik-Sobańska, L., Santi, S. D., Rusinek, H., & de Leon, M. J. (2006) · Experimental Gerontology · doi:10.1016/j.exger.2006.05.016 · Cited by 186 · see citing works
Vemuri, P., Whitwell, J. L., Kantarci, K., Josephs, K. A., Parisi, J. E., Shiung, M. S., Knopman, D. S., Boeve, B. F., Petersen, R. C., Dickson, D. W., et al. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.05.012 · Cited by 172 · see citing works
Self-citationSakamoto, S., Ishii, K., Sasaki, M., Hosaka, K., Mori, T., Matsui, M., Hirono, N., & Mori, E. (2002) · Journal of the Neurological Sciences · doi:10.1016/s0022-510x(02)00114-4 · Cited by 139 · see citing works
Seo, S. W., Cho, S. S., Park, A., Chin, J., & Na, D. L. (2009) · Journal of Neuroimaging · doi:10.1111/j.1552-6569.2008.00292.x · Cited by 98 · see citing works
Kantarci, K., Petersen, R. C., Przybelski, S. A., Weigand, S. D., Shiung, M. M., Whitwell, J. L., Negash, S., Ivnik, R. J., Boeve, B. F., Knopman, D. S., et al. (2008) · Archives of Neurology · doi:10.1001/archneur.65.12.1621 · Cited by 85 · see citing works
Bigio, E. H., Hynan, L. S., Sontag, E., Satumtira, S., & White, C. L. (2002) · Neuropathology and Applied Neurobiology · doi:10.1046/j.1365-2990.2002.00385.x · Cited by 82 · see citing works
Mayo Clinic Alzheimer’s Disease Patient Registry
Petersen, R. C., Kokmen, E., Tangalos, E. G., Ivnik, R. J., & Kurland, L. T. (1990) · Aging Clinical and Experimental Research · doi:10.1007/bf03323961 · Cited by 79 · see citing works
Matsunari, I., Samuraki, M., Chen, W.-P., Yanase, D., Takeda, N., Ono, K., Yoshita, M., Matsuda, H., Yamada, M., & Kinuya, S. (2007) · Journal of Nuclear Medicine · doi:10.2967/jnumed.107.042820 · Cited by 67 · see citing works
Automated template-based PET region of interest analyses in the aging brain
Sun, F. T., Schriber, R. A., Greenia, J. M., He, J., Gitcho, A., & Jagust, W. J. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.09.022 · Cited by 55 · see citing works
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The Alzheimer’s disease mitochondrial cascade hypothesis: progress and perspectives
Swerdlow, R. H., Burns, J. M., & Khan, S. M. (2014) · Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease · doi:10.1016/j.bbadis.2013.09.010 · Cited by 786 · see citing works
Olfactory deficits predict cognitive decline and Alzheimer dementia in an urban community
Devanand, D. P., Lee, S., Manly, J. J., Andrews, H., Schupf, N., Doty, R. L., Stern, Y., Zahodne, L. B., Louis, E. D., & Mayeux, R. P. (2014) · Neurology · doi:10.1212/wnl.0000000000001132 · Cited by 351 · see citing works
Brain FDG PET and the Diagnosis of Dementia
Shivamurthy, V. K. N., Tahari, A. K., Marcus, C., & Subramaniam, R. M. (2015) · American Journal of Roentgenology · doi:10.2214/ajr.13.12363 · Cited by 227 · see citing works
Multimodality imaging characteristics of dementia with Lewy bodies
Kantarci, K., Lowe, V. J., Boeve, B. F., Weigand, S. D., Senjem, M. L., Przybelski, S. A., Dickson, D. W., Parisi, J. E., Knopman, D. S., Smith, G. E., et al. (2011) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2011.09.024 · Cited by 175 · see citing works
Schwarz, C., Reid, R. I., Gunter, J., Senjem, M., Przybelski, S., Zuk, S., Whitwell, J., Vemuri, P., Josephs, K., Kantarci, K., et al. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.03.026 · Cited by 171 · see citing works
Pattern of brain atrophy rates in autopsy-confirmed dementia with Lewy bodies
Nedelska, Z., Ferman, T. J., Boeve, B. F., Przybelski, S. A., Lesnick, T. G., Murray, M. E., Gunter, J. L., Senjem, M. L., Vemuri, P., Smith, G. E., et al. (2015) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2014.07.005 · Cited by 155 · see citing works
Cortical hypermetabolism in MCI subjects: a compensatory mechanism?
Ashraf, A., Fan, Z., Brooks, D. J., & Edison, P. (2014) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-014-2919-z · Cited by 136 · see citing works
VanGuilder, H. D., Bixler, G. V., Brucklacher, R. M., Farley, J. A., Yan, H., Warrington, J. P., Sonntag, W. E., & Freeman, W. M. (2011) · Journal of Neuroinflammation · doi:10.1186/1742-2094-8-138 · Cited by 132 · see citing works
Knopman, D. S., Jack, C. R., Wiste, H. J., Lundt, E. S., Weigand, S. D., Vemuri, P., Lowe, V. J., Kantarci, K., Gunter, J. L., Senjem, M. L., et al. (2014) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2014.03.006 · Cited by 124 · see citing works
Mechanisms of Hippocampal Aging and the Potential for Rejuvenation
Fan, X., Wheatley, E., & Villeda, S. (2017) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-072116-031357 · Cited by 124 · see citing works
Olfactory Identification Deficits, Cognitive Decline, and Dementia in Older Adults
Devanand, D. P. (2016) · American Journal of Geriatric Psychiatry · doi:10.1016/j.jagp.2016.08.010 · Cited by 114 · see citing works
Brain glucose and acetoacetate metabolism: a comparison of young and older adults
Nugent, S., Tremblay, S., Chen, K. W., Ayutyanont, N., Roontiva, A., Castellano, C., Fortier, M., Roy, M., Courchesne‐Loyer, A., Bocti, C., et al. (2013) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2013.11.027 · Cited by 113 · see citing works
p53-dependent SIRT6 expression protects Aβ42-induced DNA damage
Jung, E. S., Choi, H., Song, H., Hwang, Y. J., Kim, A., Ryu, H., & Mook‐Jung, I. (2016) · Scientific Reports · doi:10.1038/srep25628 · Cited by 89 · see citing works
Cognitive correlates of α4β2 nicotinic acetylcholine receptors in mild Alzheimer’s dementia
Sabri, O., Meyer, P., Graef, S., Hesse, S., Wilke, S., Becker, G., Rullmann, M., Patt, M., Luthardt, J., Wagenknecht, G., et al. (2018) · Brain · doi:10.1093/brain/awy099 · Cited by 87 · see citing works
Effect of intellectual enrichment on AD biomarker trajectories
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The Hippocampal Neuroproteome with Aging and Cognitive Decline: Past Progress and Future Directions
VanGuilder, H. D., & Freeman, W. M. (2011) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2011.00008 · Cited by 76 · see citing works
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Tu, Z., Zhao, H., Li, B., Yan, S., Wang, L., Tang, Y., Li, Z., Bai, D., Li, C., Lin, Y., et al. (2018) · Human Molecular Genetics · doi:10.1093/hmg/ddy367 · Cited by 73 · see citing works
Focal hemosiderin deposits and β‐amyloid load in the ADNI cohort
Kantarci, K., Gunter, J. L., Tosakulwong, N., Weigand, S. D., Senjem, M. L., Petersen, R. C., Aisen, P. S. S., Jagust, W. J., Weiner, M. W., Jack, C. R., et al. (2013) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2012.10.011 · Cited by 68 · see citing works
Exenatide exerts cognitive effects by modulating the BDNF-TrkB neurotrophic axis in adult mice
Bomba, M., Granzotto, A., Castelli, V., Massetti, N., Silvestri, E., Canzoniero, L. M. T., Cimini, A., & Sensi, S. L. (2017) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2017.12.009 · Cited by 69 · see citing works
Li, X., Men, W., Zhu, H., Lei, J., Zuo, F., Wang, Z., Zhu, Z., Bao, X., & Wang, R. (2016) · International Journal of Molecular Sciences · doi:10.3390/ijms17101707 · Cited by 66 · see citing works
FDG PET metabolic signatures distinguishing prodromal DLB and prodromal AD
Kantarci, K., Boeve, B. F., Przybelski, S. A., Lesnick, T. G., Chen, Q., Fields, J. A., Schwarz, C. G., Senjem, M. L., Gunte, J. L., Jack, C. R., et al. (2021) · NeuroImage Clinical · doi:10.1016/j.nicl.2021.102754 · Cited by 58 · see citing works
Checa, C. M., Steup‐Beekman, G. M., Huizinga, T. W. J., van Buchem, M. A., & Ronen, I. (2018) · Frontiers in Medicine · doi:10.3389/fmed.2018.00340 · Cited by 47 · see citing works
Goldman, J. G., Aggarwal, N. T., & Schroeder, C. (2015) · Neurodegenerative Disease Management · doi:10.2217/nmt.15.34 · Cited by 38 · see citing works
Song, J., Cho, E., Lee, H., Lee, S., Kim, S., & Kim, J. (2025) · Biosensors · doi:10.3390/bios15020102 · Cited by 37 · see citing works
Emerging Roles of Sirtuin 6 in Alzheimer’s Disease
Nasir, N. F. M., Zainuddin, A., & Shamsuddin, S. (2017) · Journal of Molecular Neuroscience · doi:10.1007/s12031-017-1005-y · Cited by 36 · see citing works
Chen, P., Shen, Z., Wang, Q., Zhang, B., Zhuang, Z., Lin, J., Shen, Y., Chen, Y., Dai, Z., & Wu, R. (2021) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2021.618690 · Cited by 32 · see citing works
Age and neurodegeneration imaging biomarkers in persons with Alzheimer disease dementia
Knopman, D. S., Jack, C. R., Wiste, H. J., Weigand, S. D., Vemuri, P., Lowe, V. J., Kantarci, K., Gunter, J. L., Senjem, M. L., Mielke, M. M., et al. (2016) · Neurology · doi:10.1212/wnl.0000000000002979 · Cited by 30 · see citing works
Zhang, B., Ferman, T. J., Boeve, B. F., Smith, G. E., Maroney‐Smith, M., Spychalla, A. J., Knopman, D. S., Jack, C. R., Petersen, R. C., & Kantarci, K. (2014) · Journal of Neuroimaging · doi:10.1111/jon.12138 · Cited by 29 · see citing works
Huang, S., Hsu, J., Lin, K., Liu, H., Wey, S.-P., Hsiao, I., Initiative, A. D. N., Weiner, M. W., Aisen, P., Petersen, R. C., et al. (2018) · Scientific Reports · doi:10.1038/s41598-018-31794-8 · Cited by 28 · see citing works
Functional integration changes in regional brain glucose metabolism from childhood to adulthood
Trotta, N., Archambaud, F., Goldman, S., Baete, K., Laere, K. V., Wens, V., Bogaert, P. V., Chiron, C., & Tiège, X. D. (2016) · Human Brain Mapping · doi:10.1002/hbm.23223 · Cited by 25 · see citing works
Rasmussen, J. M., Lakatos, A., van Erp, T. G. M., Kruggel, F., Keator, D. B., Fallon, J., Macciardi, F. M., & Potkin, S. G. (2011) · Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease · doi:10.1016/j.bbadis.2011.09.008 · Cited by 26 · see citing works
Effects of Metformin on the Cerebral Metabolic Changes in Type 2 Diabetic Patients
Huang, Y., Hsu, C.-C., Lin, W., Yin, T.-K., Huang, C., Wang, P., Chang, H.-H., & Chiu, N.-T. (2014) · The Scientific World JOURNAL · doi:10.1155/2014/694326 · Cited by 24 · see citing works
Alzheimer’s Disease – Not an Exaggeration of Healthy Aging
Ghosh, K., Agarwal, P., & Haggerty, G. (2011) · Indian Journal of Psychological Medicine · doi:10.4103/0253-7176.92047 · Cited by 22 · see citing works
Šprung, J., Warner, D. O., Knopman, D. S., Petersen, R. C., Mielke, M. M., Jack, C. R., Lowe, V. J., Martin, D. P., Hanson, A. C., Schroeder, D. R., et al. (2020) · British Journal of Anaesthesia · doi:10.1016/j.bja.2020.01.015 · Cited by 21 · see citing works
Staffen, W., Ladurner, G., Höller, Y., Bergmann, J., Aichhorn, M., Golaszewski, S. M., & Kronbichler, M. (2011) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2011.09.002 · Cited by 21 · see citing works
Irimata, K., Dugger, B. N., & Wilson, J. R. (2018) · Current Alzheimer Research · doi:10.2174/1567205015666180702105119 · Cited by 19 · see citing works
Alzheimer′s disease: Unique markers for diagnosis & new treatment modalities
Aggarwal, N. T., Shah, R. C., & Bennett, D. A. (2015) · The Indian Journal of Medical Research · doi:10.4103/0971-5916.169193 · Cited by 15 · see citing works
Biomarkers for Early Diagnosis of Alzheimer’s Disease in the Oldest Old: Yes or No?
Paolacci, L., Giannandrea, D., Mecocci, P., & Parnetti, L. (2017) · Journal of Alzheimer s Disease · doi:10.3233/jad-161127 · Cited by 15 · see citing works
Dolatshahi, M., Moghaddam, H. S., Saberi, P., Mohammadi, S., & Aarabi, M. H. (2023) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2023.110645 · Cited by 14 · see citing works
Byun, M. S., Kim, H. J., Yi, D., Choi, H. J., Baek, H., Lee, J. H., Choe, Y. M., Lee, S. H., Ko, K., Sohn, B. K., et al. (2019) · NeuroImage Clinical · doi:10.1016/j.nicl.2019.101765 · Cited by 13 · see citing works
Chew, J., & Silverman, D. H. S. (2013) · Medical Clinics of North America · doi:10.1016/j.mcna.2012.12.016 · Cited by 13 · see citing works
Anstey, K. J., Sargent‐Cox, K. A., Cherbuin, N., & Sachdev, P. S. (2013) · The Journals of Gerontology Series A · doi:10.1093/gerona/glt195 · Cited by 12 · see citing works
Kawashima, S., Ito, K., Kato, T., & the SEAD-J Study Group (2012) · BMJ Open · doi:10.1136/bmjopen-2011-000773 · Cited by 6 · see citing works
Moallem, E. Z., Vekaria, H. J., Macheda, T., Hawkins, M. R., Roberts, K. N., Patel, S. P., Sullivan, P. G., & Bachstetter, A. D. (2025) · Experimental Neurology · doi:10.1016/j.expneurol.2025.115629 · Cited by 3 · see citing works
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Niwald, M. (2015) · Journal of Novel Physiotherapies · doi:10.4172/2165-7025.1000e139 · Cited by 2 · see citing works
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- Authors
- Kantarci, K., Senjem, M. L., Lowe, V. J., Wiste, H. J., Weigand, S. D., Kemp, B. J., Frank, A. R., Shiung, M. M., Boeve, B. F., Knopman, D. S., Petersen, R. C., & Jack, C. R.
- Affiliations
- Mayo Clinic (US)
- Corresponding author
- Kantarci, K.
- ORCID
- Venue
- American Journal of Neuroradiology
- Published
- 2010-03-18
- Volume
- 31
- Issue
- 7
- Pages
- 1247-1253
- ISSN
- 0195-6108 (ISSN-L)
- 1936-959X
- PMC
- PMC2890033
- OpenAlex
- W2166123150
- Cited by
- 47
- References
- 33
- Citations by year
- 2025: 2 · 2023: 2 · 2021: 2 · 2020: 1 · 2019: 1 · 2018: 5 · 2017: 4 · 2016: 6 · 2015: 3 · 2014: 9 · 2013: 5 · 2012: 1
- FWCI
- 2.50
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- cc-by
- Locations
- American Journal of Neuroradiology (publishedVersion, cc-by)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institutes of Health (AG11378, AG16574)
- National Institute on Aging (K23AG030935, AG-06786, AG 16574, U01AG006786, R01AG011378, AG-11378, R37AG011378, P50AG016574)
- National Center for Research Resources (KL2RR024151, RR024151)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Medical Imaging Techniques and Applications
- Keywords
- mild cognitive impairment, age effects, glucose metabolism, FDG-PET, Alzheimer's disease, temporal lobe hypometabolism, gray matter atrophy, hippocampal atrophy, early diagnosis
- MeSH terms
- Aged, Aged, 80 and over, Aging, Alzheimer Disease, Atrophy, Blood Glucose, Cognition Disorders, Female, Humans, Male, Middle Aged, Parietal Lobe, Temporal Lobe, Reproducibility of Results, Biomarkers, Fluorodeoxyglucose F18, Early Diagnosis, Positron-Emission Tomography
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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