Associations between cognitive, functional, and FDG-PET measures of decline in AD and MCI
Open accessAbstract
The Functional Activities Questionnaire (FAQ) and Alzheimer's Disease Assessment Scale-cognitive subscale (ADAS-cog) are frequently used indices of cognitive decline in Alzheimer's disease (AD). The goal of this study was to compare FDG-PET and clinical measurements in a large sample of elderly subjects with memory disturbance. We examined relationships between glucose metabolism in FDG-PET regions of interest (FDG-ROIs), and ADAS-cog and FAQ scores in AD and mild cognitive impairment (MCI) patients enrolled in the Alzheimer's Disease Neuroimaging Initiative (ADNI). Low glucose metabolism at baseline predicted subsequent ADAS-cog and FAQ decline. In addition, longitudinal glucose metabolism decline was associated with concurrent ADAS-cog and FAQ decline. Finally, a power analysis revealed that FDG-ROI values have greater statistical power than ADAS-cog to detect attenuation of cognitive decline in AD and MCI patients. Glucose metabolism is a sensitive measure of change in cognition and functional ability in AD and MCI, and has value in predicting future cognitive decline.
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Individuals with MCI and early AD have diminished regional brain uptake of 2-DG, as measured by FDG-PET, before MCI-AD conversion, brain atrophy, or neurodegenerative changes.
“Individuals with MCI and early AD have diminished regional brain uptake of 2-DG, as measured by FDG-PET, before MCI-AD conversion, brain atrophy, or neurodegenerative changes (268, 345, 424, 425, 517).”
From Blood-Brain Barrier: From Physiology to Disease and Back (2019) · cites this paper as [345]
The Results (§3.2; page not provided) show lower regional FDG-PET metabolism in MCI and AD than in cognitively normal participants. The Introduction reports evidence that FDG-PET predicts conversion from MCI to AD, but neither it nor the Results establishes that reduced uptake precedes brain atrophy or other neurodegenerative changes. (LLM, conf=0.87)
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Cites
McKhann, G., Drachman, D., Folstein, M., Katzman, R., Price, D., & Stadlan, E. M. (1984) · Neurology · doi:10.1212/wnl.34.7.939 · Cited by 27,915 · see citing works
Random-Effects Models for Longitudinal Data
Laird, N. M., & Ware, J. H. (1982) · Biometrics · doi:10.2307/2529876 · Cited by 8,923 · 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
Everitt, B. S. (2001) · Psychology Press eBooks · doi:10.4324/9781410605542-11 · Cited by 6,877 · see citing works
Terry, R. D., Masliah, E., Salmon, D. P., Butters, N., DeTeresa, R., Hill, R., Hansen, L. A., & Katzman, R. (1991) · Annals of Neurology · doi:10.1002/ana.410300410 · Cited by 4,397 · see citing works
A new rating scale for Alzheimer's disease
(1984) · American Journal of Psychiatry · doi:10.1176/ajp.141.11.1356 · Cited by 4,175 · see citing works
Measurement of Functional Activities in Older Adults in the Community
PFEFFER, R. I., Kurosaki, T., Harrah, C. H., Chance, J. M., & Filos, S. (1982) · Journal of Gerontology · doi:10.1093/geronj/37.3.323 · Cited by 2,978 · 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
Self-citationA 24-week, double-blind, placebo-controlled trial of donepezil in patients with Alzheimer's disease
Rogers, S. L., Farlow, M. R., Doody, R. S., Mohs, R., Friedhoff, L. T., & Donepezil Study Group* (1998) · Neurology · doi:10.1212/wnl.50.1.136 · Cited by 1,618 · see citing works
Prediction of AD with MRI-based hippocampal volume in mild cognitive impairment
Jack, C. R., Petersen, R. C., Xu, Y. C., O’Brien, P. C., Smith, G. E., Ivnik, R. J., Boeve, B. F., Waring, S. C., Tangalos, E. G., & Kokmen, E. (1999) · Neurology · doi:10.1212/wnl.52.7.1397 · Cited by 1,404 · see citing works
Discrimination between Alzheimer dementia and controls by automated analysis of multicenter FDG PET
Herholz, K., Salmon, E., Perani, D., Baron, J.-C., Holthoff, V., Frölich, L., Schönknecht, P., Ito, K., Mielke, R., & Kalbe, E. (2002) · NeuroImage · doi:10.1006/nimg.2002.1208 · Cited by 832 · see citing works
Cerebral metabolic and cognitive decline in persons at genetic risk for Alzheimer’s disease
Small, G. W., Ercoli, L. M., Silverman, D. H. S., Huang, S.-C., Komo, S., Bookheimer, S. Y., Lavretsky, H., Miller, K., Siddarth, P., Rasgon, N. L., et al. (2000) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.090106797 · Cited by 790 · see citing works
Mosconi, L., Tsui, W. H., Herholz, K., Pupi, A., Drzezga, A., Lucignani, G., Reiman, E. M., Holthoff, V., Kalbe, E., Sorbi, S., et al. (2008) · Journal of Nuclear Medicine · doi:10.2967/jnumed.107.045385 · Cited by 726 · see citing works
Self-citationde Leon, M. J., Convit, A., Wolf, O. T., Tarshish, C. Y., DeSanti, S., Rusinek, H., Tsui, W., Kandil, E., Scherer, A. J., Roche, A., et al. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.191044198 · Cited by 629 · 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
Alexander, G. E., Chen, K., Pietrini, P., Rapoport, S. I., & Reiman, E. M. (2002) · American Journal of Psychiatry · doi:10.1176/appi.ajp.159.5.738 · Cited by 532 · see citing works
Self-citationSokoloff, L. (1981) · PubMed · Cited by 480 · see citing works
Reiman, E. M., Caselli, R. J., Chen, K., Alexander, G. E., Bandy, D., & Frost, J. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.061509598 · Cited by 467 · see citing works
Self-citationHippocampal hypometabolism predicts cognitive decline from normal aging
Mosconi, L., De Santi, S., Li, J., Tsui, W. H., Li, Y., Boppana, M., Laska, E., Rusinek, H., & de Leon, M. J. (2008) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2006.12.008 · Cited by 360 · 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
Longitudinal volumetric MRI change and rate of cognitive decline
Mungas, D., Harvey, D., Reed, B. R., Jagust, W. J., DeCarli, C., Beckett, L., Mack, W. J., Kramer, J. H., Weiner, M. W., Schuff, N., et al. (2005) · Neurology · doi:10.1212/01.wnl.0000172913.88973.0d · Cited by 311 · see citing works
Self-citationMild cognitive impairment : aging to Alzheimer's disease
Petersen, R. C. (2003) · Cited by 226 · see citing works
Brain imaging evidence of preclinical Alzheimer's disease in normal aging
Jagust, W., Gitcho, A., Sun, F., Kuczynski, B., Mungas, D., & Haan, M. (2006) · Annals of Neurology · doi:10.1002/ana.20799 · Cited by 222 · see citing works
Self-citationChételat, G., Eustache, F., Viader, F., Sayette, V. D. L., Pèlerin, A., Mézenge, F., Hannequin, D., Dupuy, B., Baron, J., & Desgranges, B. (2005) · Neurocase · doi:10.1080/13554790490896938 · Cited by 164 · see citing works
Longitudinal brain metabolic changes from amnestic mild cognitive impairment to Alzheimer's disease
Fouquet, M., Desgranges, B., Landeau, B., Duchesnay, É., Mézenge, F., Sayette, V. D. L., Viader, F., Baron, J., Eustache, F., & Chételat, G. (2009) · Brain · doi:10.1093/brain/awp132 · Cited by 148 · see citing works
Impairment of Neocortical Metabolism Predicts Progression in Alzheimer’s Disease
Herholz, K., Nordberg, A. K., Salmon, É., Perani, D., Kessler, J., Mielke, R., Halber, M., Jelić, V., Almkvist, O., Collette, F., et al. (1999) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000017196 · Cited by 129 · see citing works
Pharmacotherapy of Alzheimer's disease: is there a need to redefine treatment success?
Winblad, B. G., Brodaty, H., Gauthier, S. G., Morris, J. C., Orgogozo, J., Rockwood, K. J., Schneider, L. S. S., Takeda, M., Tariot, P. N., & Wilkinson, D. G. (2001) · International Journal of Geriatric Psychiatry · doi:10.1002/gps.496 · Cited by 126 · see citing works
Doraiswamy, P. M., Kaiser, L., Bieber, F., & Garman, R. L. (2001) · Alzheimer Disease & Associated Disorders · doi:10.1097/00002093-200110000-00003 · Cited by 104 · see citing works
Influence of Premorbid IQ and Education on Progression of Alzheimer’s Disease
Pavlik, V., Doody, R. S., Massman, P. J., & Chan, W.-C. (2006) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000095640 · Cited by 67 · see citing works
Haense, C., Büerger, K., Kalbe, E., Drzezga, A. E., Teipel, S. J., Markiewicz, P. J., Herholz, K., Heiß, W.-D., & Hampel, H. J. (2008) · European Journal of Neurology · doi:10.1111/j.1468-1331.2008.02274.x · Cited by 55 · see citing works
Gould, R. L., ABRAMSON, I. S., Galasko, D., & Salmon, D. P. (2001) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617701777041 · Cited by 30 · see citing works
MILD COGNITIVE IMPAIRMENT: AGING TO ALZHEIMER'S DISEASE
Snowden, J. S. (2003) · Brain · doi:10.1093/brain/awh010 · Cited by 21 · see citing works
Role of cognitive testing in disease modifying AD trials.
Visser, P. J. (2006) · PubMed · Cited by 13 · see citing works
Longitudinal brain metabolic changes from amnestic Mild Cognitive Impairment to Alzheimer's disease
Fouquet, M., Desgranges, B., Landeau, B., Duchesnay, É., Mézenge, F., Sayette, V. D. L., Viader, F., Baron, J., Eustache, F., & Chételat, G. (2009) · NeuroImage · doi:10.1016/s1053-8119(09)71030-4 · Cited by 11 · see citing works
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NIA‐AA Research Framework: Toward a biological definition of Alzheimer's disease
Jack, C. R., Bennett, D. A., Blennow, K., Carrillo, M. C., Dunn, B., Haeberlein, S. B., Holtzman, D. M., Jagust, W., Jessen, F., Karlawish, J., et al. (2018) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2018.02.018 · Cited by 10,537 · see citing works
Self-citationBlood–brain barrier breakdown in Alzheimer disease and other neurodegenerative disorders
Sweeney, M. D., Sagare, A. P., & Zlokovic, B. V. (2018) · Nature Reviews Neurology · doi:10.1038/nrneurol.2017.188 · Cited by 3,076 · see citing works
Blood-Brain Barrier: From Physiology to Disease and Back
Sweeney, M. D., Zhao, Z., Montagne, A., Nelson, A. R., & Zlokovic, B. V. (2019) · Physiological Reviews · doi:10.1152/physrev.00050.2017 · Cited by 2,294 · see citing works
The clinical use of structural MRI in Alzheimer disease
Frisoni, G. B., Fox, N. C., Jack, C. R., Scheltens, P., & Thompson, P. M. (2010) · Nature Reviews Neurology · doi:10.1038/nrneurol.2009.215 · Cited by 2,113 · see citing works
Oxidative stress and mitochondrial dysfunction in Alzheimer’s disease
Wang, X., Wang, W., Li, L., Perry, G., Lee, H.-G., & Zhu, X. (2014) · Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease · doi:10.1016/j.bbadis.2013.10.015 · Cited by 1,357 · see citing works
The role of brain vasculature in neurodegenerative disorders
Sweeney, M. D., Kisler, K., Montagne, A., Toga, A. W., & Zlokovic, B. V. (2018) · Nature Neuroscience · doi:10.1038/s41593-018-0234-x · Cited by 998 · see citing works
Vascular dysfunction—The disregarded partner of Alzheimer's disease
Sweeney, M. D., Montagne, A., Sagare, A. P., Nation, D. A., Schneider, L. S., Chui, H. C., Harrington, M. G., Pa, J., Law, M., Wang, D. J. J., et al. (2019) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2018.07.222 · Cited by 711 · see citing works
Imaging the evolution and pathophysiology of Alzheimer disease
Jagust, W. (2018) · Nature Reviews Neuroscience · doi:10.1038/s41583-018-0067-3 · Cited by 604 · see citing works
Self-citationStrategic roadmap for an early diagnosis of Alzheimer's disease based on biomarkers
Frisoni, G. B., Boccardi, M., Barkhof, F., Blennow, K., Cappa, S., Chiotis, K., Démonet, J.-F., Garibotto, V., Giannakopoulos, P., Gietl, A., et al. (2017) · The Lancet Neurology · doi:10.1016/s1474-4422(17)30159-x · Cited by 626 · see citing works
Blood–Brain Barrier Dysfunction as a Cause and Consequence of Alzheimer's Disease
Erickson, M. A., & Banks, W. A. (2013) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1038/jcbfm.2013.135 · Cited by 572 · see citing works
Chen, M.-K., Mecca, A. P., Naganawa, M., Finnema, S. J., Toyonaga, T., Lin, S.-F., Najafzadeh, S., Ropchan, J., Lu, Y., McDonald, J. W., et al. (2018) · JAMA Neurology · doi:10.1001/jamaneurol.2018.1836 · Cited by 431 · see citing works
The clinical promise of biomarkers of synapse damage or loss in Alzheimer’s disease
the Synaptic Health Endpoints Working Group, Colom-Cadena, M., Spires-Jones, T., Zetterberg, H., Blennow, K., Caggiano, A., DeKosky, S. T., Fillit, H., Harrison, J. E., Schneider, L. S., et al. (2020) · Alzheimer's Research & Therapy · doi:10.1186/s13195-020-00588-4 · Cited by 328 · see citing works
El-Sappagh, S., Alonso, J. M., Islam, S. M. R., Sultan, A. M., & Kwak, K. S. (2021) · Scientific Reports · doi:10.1038/s41598-021-82098-3 · Cited by 363 · see citing works
Fortea, J., Vilaplana, E., Carmona-Iragui, M., Benejam, B., Videla, L., Barroeta, I., Fernández, S., Altuna, M., Pegueroles, J., Montal, V., et al. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30689-9 · Cited by 340 · see citing works
Weiner, M. W., Veitch, D. P., Aisen, P. S., Beckett, L. A., Cairns, N. J., Cedarbaum, J., Green, R. C., Harvey, D., Jack, C. R., Jagust, W., et al. (2015) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2014.11.001 · Cited by 348 · see citing works
Self-citationMormino, E. C., Betensky, R. A., Hedden, T., Schultz, A. P., Amariglio, R. E., Rentz, D. M., Johnson, K. A., & Sperling, R. A. (2014) · JAMA Neurology · doi:10.1001/jamaneurol.2014.2031 · Cited by 328 · see citing works
Liss, J. L., Seleri Assunção, S., Cummings, J., Atri, A., Geldmacher, D. S., Candela, S. F., Devanand, D. P., Fillit, H. M., Susman, J., Mintzer, J., et al. (2021) · Journal of Internal Medicine · doi:10.1111/joim.13244 · Cited by 312 · see citing works
Mattsson, N., Insel, P. S., Donohue, M., Landau, S., Jagust, W. J., Shaw, L. M., Trojanowski, J. Q., Zetterberg, H., Blennow, K., & Weiner, M. W. (2015) · Brain · doi:10.1093/brain/awu367 · Cited by 237 · see citing works
Self-citationRabin, J. S., Schultz, A. P., Hedden, T., Viswanathan, A., Marshall, G. A., Kilpatrick, E., Klein, H., Buckley, R. F., Yang, H.-S., Properzi, M., et al. (2018) · JAMA Neurology · doi:10.1001/jamaneurol.2018.1123 · Cited by 221 · see citing works
Wilcock, G. K., Gauthier, S., Frisoni, G. B., Jia, J., Hardlund, J. H., Moebius, H. J., Bentham, P., Kook, K. A., Schelter, B. O., Wischik, D. J., et al. (2017) · Journal of Alzheimer's Disease · doi:10.3233/jad-170560 · Cited by 219 · see citing works
Sex and APOE ε4 genotype modify the Alzheimer’s disease serum metabolome
Arnold, M., Nho, K., Kueider-Paisley, A., Massaro, T., Huynh, K., Brauner, B., MahmoudianDehkordi, S., Louie, G., Moseley, M. A., Thompson, J. W., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-14959-w · Cited by 202 · see citing works
Self-citationPetersen, R. C., Wiste, H. J., Weigand, S. D., Rocca, W. A., Roberts, R. O., Mielke, M. M., Lowe, V. J., Knopman, D. S., Pankratz, V. S., Machulda, M. M., et al. (2016) · JAMA Neurology · doi:10.1001/jamaneurol.2015.3098 · Cited by 196 · see citing works
Boosting power for clinical trials using classifiers based on multiple biomarkers
Kohannim, O., Hua, X., Hibar, D. P., Lee, S., Chou, Y.-Y., Toga, A. W., Jack, C. R., Weiner, M. W., & Thompson, P. M. (2010) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2010.04.022 · Cited by 190 · see citing works
“PET-FDG numerical summaries were based on a pre-defined temporal lobe ROI (Landau et al., 2009).”
InfluentialSelf-citationBrain injury biomarkers are not dependent on β‐amyloid in normal elderly
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. (2013) · Annals of Neurology · doi:10.1002/ana.23816 · Cited by 183 · see citing works
Hardy, J. L., Nelson, R. A., Thomason, M. E., Sternberg, D. A., Katovich, K., Farzin, F., & Scanlon, M. (2015) · PLoS ONE · doi:10.1371/journal.pone.0134467 · Cited by 183 · see citing works
FDG-PET as an independent biomarker for Alzheimer’s biological diagnosis: A longitudinal study
Initiative, O. B. O. A. D. N., Ou, Y.-N., Xu, W., Li, J.-Q., Guo, Y., Cui, M., Chen, K.-L., Huang, Y.-Y., Dong, Q., Tan, L., et al. (2019) · Alzheimer's Research & Therapy · doi:10.1186/s13195-019-0512-1 · Cited by 155 · see citing works
Vascular burden and Alzheimer disease pathologic progression
Lo, R. Y., Jagust, W. J., Weiner, M., Aisen, P., Weiner, M., Aisen, P., Petersen, R., Jack, C. R., Jagust, W., Trojanowki, J. Q., et al. (2012) · Neurology · doi:10.1212/wnl.0b013e31826c1b9d · Cited by 156 · see citing works
Self-citationWirth, M., Madison, C. M., Rabinovici, G. D., Oh, H., Landau, S. M., & Jagust, W. J. (2013) · The Journal of Neuroscience · doi:10.1523/jneurosci.4409-12.2013 · Cited by 151 · see citing works
Self-citationBesson, F. L., La Joie, R., Doeuvre, L., Gaubert, M., Mezenge, F., Egret, S., Landeau, B., Barre, L., Abbas, A., Ibazizene, M., et al. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.0150-15.2015 · Cited by 141 · see citing works
Fluorodeoxyglucose metabolism associated with tau‐amyloid interaction predicts memory decline
Hanseeuw, B. J., Betensky, R. A., Schultz, A. P., Papp, K. V., Mormino, E. C., Sepulcre, J., Bark, J. S., Cosio, D. M., LaPoint, M., Chhatwal, J. P., et al. (2017) · Annals of Neurology · doi:10.1002/ana.24910 · Cited by 140 · see citing works
Fan, Z., Okello, A. A., Brooks, D. J., & Edison, P. (2015) · Brain · doi:10.1093/brain/awv288 · Cited by 135 · see citing works
Yew, B., Nation, D. A., & Initiative, F. T. A. D. N. (2017) · Brain · doi:10.1093/brain/awx112 · Cited by 133 · see citing works
Prediction of Conversion to Alzheimer’s Disease with Longitudinal Measures and Time-To-Event Data
Li, K., Chan, W., Doody, R. S., Quinn, J., Luo, S., & Initiative, T. A. D. N. (2017) · Journal of Alzheimer’s Disease · doi:10.3233/jad-161201 · Cited by 126 · see citing works
Imaging of Synaptic Density in Neurodegenerative Disorders
Carson, R. E., Naganawa, M., Toyonaga, T., Koohsari, S., Yang, Y., Chen, M.-K., Matuskey, D., & Finnema, S. J. (2022) · Journal of Nuclear Medicine · doi:10.2967/jnumed.121.263201 · Cited by 104 · see citing works
PET Neuroimaging of Alzheimer's Disease: Radiotracers and Their Utility in Clinical Research
Bao, W., Xie, F., Zuo, C., Guan, Y., & Huang, Y. H. (2021) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2021.624330 · Cited by 102 · see citing works
Suárez‐Calvet, M., Capell, A., Araque Caballero, M. Á., Morenas‐Rodríguez, E., Fellerer, K., Franzmeier, N., Kleinberger, G., Eren, E., Deming, Y., Piccio, L., et al. (2018) · EMBO Molecular Medicine · doi:10.15252/emmm.201809712 · Cited by 109 · see citing works
Self-citationPreferential degradation of cognitive networks differentiates Alzheimer’s disease from ageing
Chhatwal, J. P., Schultz, A. P., Johnson, K. A., Hedden, T., Jaimes, S., Benzinger, T. L. S., Jack, C., Ances, B. M., Ringman, J. M., Marcus, D. S., et al. (2018) · Brain · doi:10.1093/brain/awy053 · Cited by 101 · see citing works
Self-citationAmyloid PET in clinical practice: Its place in the multidimensional space of Alzheimer's disease
Vandenberghe, R., Adamczuk, K., Dupont, P., Laere, K. V., & Chételat, G. (2013) · NeuroImage: Clinical · doi:10.1016/j.nicl.2013.03.014 · Cited by 99 · see citing works
Reading, C. L., Ahlem, C. N., & Murphy, M. F. (2021) · Neurodegenerative Disease Management · doi:10.2217/nmt-2021-0022 · Cited by 84 · see citing works
2- <sup>18</sup> F-fluoro-2-deoxyglucose positron emission tomography in delirium
Haggstrom, L. R., Nelson, J. A., Wegner, E. A., & Caplan, G. A. (2017) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1177/0271678x17701764 · Cited by 78 · see citing works
Bejanin, A., Iulita, M. F., Vilaplana, E., Carmona-Iragui, M., Benejam, B., Videla, L., Barroeta, I., Fernandez, S., Altuna, M., Pegueroles, J., et al. (2021) · JAMA Neurology · doi:10.1001/jamaneurol.2021.1893 · Cited by 76 · see citing works
Longitudinal structural and metabolic changes in frontotemporal dementia
Bejanin, A., Tammewar, G., Marx, G., Cobigo, Y., Iaccarino, L., Kornak, J., Staffaroni, A. M., Dickerson, B. C., Boeve, B. F., Knopman, D. S., et al. (2020) · Neurology · doi:10.1212/wnl.0000000000009760 · Cited by 70 · see citing works
Self-citationApathy is associated with increased amyloid burden in mild cognitive impairment
Marshall, G. A., Donovan, N. J., Lorius, N., Gidicsin, C. M., Maye, J., Pepin, L. C., Becker, J. A., Amariglio, R. E., Rentz, D. M., Sperling, R. A., et al. (2013) · The Journal of Neuropsychiatry and Clinical Neurosciences · doi:10.1176/appi.neuropsych.12060156 · Cited by 73 · see citing works
Rudrauf, D. (2014) · Advances in Neuroscience · doi:10.1155/2014/462765 · Cited by 74 · see citing works
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. (2013) · JAMA Neurology · doi:10.1001/jamaneurol.2013.182 · Cited by 68 · see citing works
Feigin, A., Evans, E. E., Fisher, T. L., Leonard, J. E., Smith, E. S., Reader, A., Mishra, V., Manber, R., Walters, K. A., Kowarski, L., et al. (2022) · Nature Medicine · doi:10.1038/s41591-022-01919-8 · Cited by 67 · see citing works
Koppel, J., Sunday, S., Goldberg, T. E., Davies, P., Christen, E., & Greenwald, B. S. (2014) · The American Journal of Geriatric Psychiatry · doi:10.1016/j.jagp.2012.10.028 · Cited by 65 · see citing works
Grill, J. D., Di, L., Lu, P. H., Lee, C., Ringman, J., Apostolova, L. G., Chow, N., Kohannim, O., Cummings, J. L., Thompson, P. M., et al. (2013) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2012.03.006 · Cited by 58 · see citing works
Subtyping of mild cognitive impairment using a deep learning model based on brain atrophy patterns
Kwak, K., Giovanello, K. S., Bozoki, A., Styner, M., & Dayan, E. (2021) · Cell Reports Medicine · doi:10.1016/j.xcrm.2021.100467 · Cited by 47 · see citing works
Shokouhi, S., Claassen, D., Kang, H., Ding, Z., Rogers, B., Mishra, A., Riddle, W. R., & Initiative, F. T. A. D. N. (2013) · Journal of Nuclear Medicine · doi:10.2967/jnumed.112.116137 · Cited by 54 · see citing works
Brimson, J. M., Prasanth, M. I., Plaingam, W., & Tencomnao, T. (2020) · Journal of Traditional and Complementary Medicine · doi:10.1016/j.jtcme.2019.10.001 · Cited by 51 · see citing works
Gaitán, J. M., Boots, E. A., Dougherty, R. J., Oh, J. M., Ma, Y., Edwards, D. F., Christian, B. T., Cook, D. B., & Okonkwo, O. C. (2019) · Brain Plasticity · doi:10.3233/bpl-190093 · Cited by 49 · see citing works
Förster, S., Yousefi, B. H., Wester, H.-J., Klupp, E., Rominger, A., Förstl, H., Kurz, A., Grimmer, T., & Drzezga, A. (2012) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-012-2230-9 · Cited by 45 · see citing works
Jang, H., Park, J., Woo, S., Kim, S., Kim, H. J., Na, D. L., Lockhart, S. N., Kim, Y., Kim, K. W., Cho, S. H., et al. (2019) · NeuroImage Clinical · doi:10.1016/j.nicl.2019.101941 · Cited by 46 · see citing works
Belbin, O., Xiao, M.-F., Xu, D., Carmona-Iragui, M., Pegueroles, J., Benejam, B., Videla, L., Fernández, S., Barroeta, I., Nuñez-Llaves, R., et al. (2020) · Molecular Neurodegeneration · doi:10.1186/s13024-020-00398-0 · Cited by 39 · see citing works
Staging Neurodegenerative Disorders: Structural, Regional, Biomarker, and Functional Progressions
Archer, T., Kostrzewa, R. M., Beninger, R. J., & Palomo, T. (2011) · Neurotoxicity Research · doi:10.1007/s12640-010-9190-2 · Cited by 34 · see citing works
Jagust, W. J., Koeppe, R. A., Rabinovici, G. D., Villemagne, V. L., Harrison, T. M., Landau, S. M., & Initiative, T. A. D. N. (2024) · Alzheimer's & Dementia · doi:10.1002/alz.14165 · Cited by 34 · see citing works
Self-citationAlzheimer's disease biomarkers: correspondence between human studies and animal models
Sabbagh, J. J., Kinney, J. W., & Cummings, J. L. (2013) · Neurobiology of Disease · doi:10.1016/j.nbd.2013.04.010 · Cited by 27 · see citing works
Soucy, J.-P., Bartha, R., Bocti, C., Borrie, M., Burhan, A. M., Laforce, R., & Rosa-Neto, P. (2013) · Alzheimer's Research & Therapy · doi:10.1186/alzrt199 · Cited by 25 · see citing works
Jiang, L., Lin, H., Initiative, A. D. N., & Chen, Y. (2020) · Neuroscience Letters · doi:10.1016/j.neulet.2020.134824 · Cited by 17 · see citing works
Sachdev, P. S. (2020) · Current Opinion in Psychiatry · doi:10.1097/yco.0000000000000577 · Cited by 13 · see citing works
Chongtham, A., Sharma, A., Nath, B., Murtha, K., Gorbachev, K., Ramakrishnan, A., Schmidt, E. F., Shen, L., & Pereira, A. C. (2024) · Experimental Neurology · doi:10.1016/j.expneurol.2024.114967 · Cited by 10 · see citing works
Yin, H., Lu, Z., Deng, Y., Tian, X., & Gong, Q. (2026) · Ageing Research Reviews · doi:10.1016/j.arr.2025.102952 · Cited by 6 · see citing works
- Authors
- Landau, S. M., Harvey, D., Madison, C. M., Koeppe, R. A., Reiman, E. M., Foster, N. L., Weiner, M. W., & Jagust, W. J.
- Affiliations
- University of California, Berkeley (US)
- University of California, Davis (US)
- University of Michigan (US)
- Banner Alzheimer’s Institute (US)
- University of Utah (US)
- San Francisco VA Medical Center (US)
- Lawrence Berkeley National Laboratory (US)
- Corresponding author
- Landau, Susan M.
- ORCID
- Venue
- Neurobiology of Aging
- Publisher
- Elsevier BV
- Published
- 2011-07
- Volume
- 32
- Issue
- 7
- Pages
- 1207-1218
- ISSN
- 0197-4580 (ISSN-L)
- PMC
- PMC2891865
- OpenAlex
- W2155277084
- Cited by
- 750
- References
- 35
- Citations by year
- 2026: 29 · 2025: 48 · 2024: 50 · 2023: 32 · 2022: 55 · 2021: 71 · 2020: 63 · 2019: 56 · 2018: 48 · 2017: 36 · 2016: 45 · 2015: 44 · 2014: 39 · 2013: 45 · 2012: 41
- FWCI
- 17.82
- Type
- journal article
- Language
- en
- Open access
- green
- europepmc.org
- Locations
- Neurobiology of Aging (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health (5u01ag024904-10)
- National Institute on Aging (U01-AG-024904, P30AG010129, P30AG019610, U19AG010483)
- National Institute of Biomedical Imaging and Bioengineering
- 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 › Pulmonary and Respiratory Medicine › Cancer-related cognitive impairment studies
- Keywords
- Alzheimer's disease, mild cognitive impairment, cognitive decline, FDG-PET, glucose metabolism, Functional Activities Questionnaire, ADAS-Cog, functional decline, memory impairment, statistical power
- MeSH terms
- Aged, Aged, 80 and over, Alzheimer Disease, Blood Glucose, Disability Evaluation, Female, Humans, Male, Neuropsychological Tests, Predictive Value of Tests, Severity of Illness Index, Disease Progression, Fluorodeoxyglucose F18, Positron-Emission Tomography, Cognitive Dysfunction
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