The DOI matches its Crossref record; 57 of the 59 references it cites were found in a registry or an index.
Categorical and correlational analyses of baseline fluorodeoxyglucose positron emission tomography images from the Alzheimer’s Disease Neuroimaging Initiative (ADNI)
Open accessAbstract
In mostly small single-center studies, Alzheimer's disease (AD) is associated with characteristic and progressive reductions in fluorodeoxyglucose positron emission tomography (PET) measurements of the regional cerebral metabolic rate for glucose (CMRgl). The AD Neuroimaging Initiative (ADNI) is acquiring FDG PET, volumetric magnetic resonance imaging, and other biomarker measurements in a large longitudinal multi-center study of initially mildly affected probable AD (pAD) patients, amnestic mild cognitive impairment (aMCI) patients, who are at increased AD risk, and cognitively normal controls (NC), and we are responsible for analyzing the PET images using statistical parametric mapping (SPM). Here we compare baseline CMRgl measurements from 74 pAD patients and 142 aMCI patients to those from 82 NC, we correlate CMRgl with categorical and continuous measures of clinical disease severity, and we compare apolipoprotein E (APOE) varepsilon4 carriers to non-carriers in each of these subject groups. In comparison with NC, the pAD and aMCI groups each had significantly lower CMRgl bilaterally in posterior cingulate, precuneus, parietotemporal and frontal cortex. Similar reductions were observed when categories of disease severity or lower Mini-Mental State Exam (MMSE) scores were correlated with lower CMRgl. However, when analyses were restricted to the pAD patients, lower MMSE scores were significantly correlated with lower left frontal and temporal CMRgl. These findings from a large, multi-site study support previous single-site findings, supports the characteristic pattern of baseline CMRgl reductions in AD and aMCI patients, as well as preferential anterior CMRgl reductions after the onset of AD dementia.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Peripheral resistance to insulin also occurs in the CNS, as the glucose metabolic rate is reduced in the brains of AD patients in fluorodeoxyglucose positron emission tomography (FDG PET) [118,119].”
From Neuroprotective effect of SGLT2 inhibitors. (2021) · cites this paper as [118]
In the citing paper
“Peripheral resistance to insulin also occurs in the CNS, as the glucose metabolic rate is reduced in the brains of AD patients in fluorodeoxyglucose positron emission tomography (FDG PET) [118,119].”
From Neuroprotective effect of SGLT2 inhibitors. (2021) · cites this paper as [118]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
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
Co-Planar Stereotaxic Atlas of the Human Brain
Talairach, J., & Tournoux, P. (1988) · Medical Entomology and Zoology · Cited by 11,798
Co-planar stereotaxic atlas of the human brain
Laitinen, L. (1989) · Clinical Neurology and Neurosurgery · doi:10.1016/0303-8467(89)90128-5 · Cited by 7,565
Current concepts in mild cognitive impairment
Petersen, R. C., Doody, R., Kurz, A., Mohs, R. C., Morris, J. C., Rabins, P. V., Ritchie, K., Rossor, M., Thal, L., & Winblad, B. (2001) · Archives of Neurology · doi:10.1001/archneur.58.12.1985 · Cited by 4,781
Imaging brain amyloid in Alzheimer's disease with Pittsburgh Compound‐B
Klunk, W. E., Engler, H., Nordberg, A., Wang, Y., Blomqvist, G., Holt, D. P., Bergström, M., Savitcheva, I., Huang, G., Estrada, S., et al. (2004) · Annals of Neurology · doi:10.1002/ana.20009 · Cited by 4,496
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
Self-citationReiman, E. M., Caselli, R. J., Yun, L. S., Chen, K., Bandy, D., Minoshima, S., Thibodeau, S. N., & Osborne, D. (1996) · New England Journal of Medicine · doi:10.1056/nejm199603213341202 · Cited by 1,366
Self-citationMueller, S. G., Weiner, M. W., Thal, L. J., Petersen, R. C., Jack, C. R., Jagust, W., Trojanowski, J. Q., Toga, A. W., & Beckett, L. (2005) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2005.06.003 · Cited by 1,233
Self-citation(1995) · PubMed Central · doi:10.2967/jnumed.120.252510a · Cited by 996
Self-citationFunctional brain abnormalities in young adults at genetic risk for late-onset Alzheimer's dementia
Reiman, E. M., Chen, K., Alexander, G. E., Caselli, R. J., Bandy, D., Osborne, D., Saunders, A. M., & Hardy, J. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2635903100 · Cited by 977
Self-citation
Research works printed but not linked: 1
- De, 2001, Hippocampal formation glucose metabolism and volume losses in MCI and AD, Neurobiol. Aging, 22, 529, 10.1016/S0197-4580(01)00230-5 · DOI · Paper page
Cited by
Sorted by citations
Items 101–200 of 279
Neuroimaging in aging and neurologic diseases
Risacher, S. L., & Saykin, A. J. (2019) · Handbook of clinical neurology · doi:10.1016/b978-0-12-804766-8.00012-1 · Cited by 56
Xu, Z., Yang, S., Zhao, S., Zheng, C., Li, H., Zhang, Y., Huang, R., Li, M., Gao, Y., Zhang, S., et al. (2016) · EBioMedicine · doi:10.1016/j.ebiom.2016.02.014 · Cited by 50
Initiative, A. D. N., Liu, Y., Tan, L., Wang, H.-F., Liu, Y., Hao, X., Tan, C., Jiang, T., Liu, B., Zhang, D., et al. (2015) · Molecular Neurobiology · doi:10.1007/s12035-015-9388-7 · Cited by 54
Morinaga, A., Ono, K., Ikeda, T., Ikeda, Y., Shima, K., Noguchi‐Shinohara, M., Samuraki, M., Yanase, D., Yoshita, M., Iwasa, K., et al. (2010) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000320265 · Cited by 56
Nasoohi, S., Parveen, K., & Ishrat, T. (2018) · Journal of Alzheimer s Disease · doi:10.3233/jad-180735 · Cited by 51
Newberg, A. B., Arnold, S. E., Wintering, N., Rovner, B. W., & Alavi, A. A. (2012) · Journal of Nuclear Medicine · doi:10.2967/jnumed.111.099606 · Cited by 49
Insulin resistance is associated with poorer verbal fluency performance in women
Ekblad, L. L., Rinne, J. O., Puukka, P. J., Laine, H. K., Ahtiluoto, S., Sulkava, R. O., Viitanen, M. H., & Jula, A. (2015) · Diabetologia · doi:10.1007/s00125-015-3715-4 · Cited by 49
Uetani, H., Hirai, T., Hashimoto, M., Ikeda, M., Kitajima, M., Sakamoto, F., Utsunomiya, D., Oda, S., Sugiyama, S., Matsubara, J., et al. (2013) · American Journal of Neuroradiology · doi:10.3174/ajnr.a3332 · Cited by 48
Longitudinal effects of aging on 18F-FDG distribution in cognitively normal elderly individuals
Ishibashi, K., Onishi, A., Fujiwara, Y., Oda, K., Ishiwata, K., & Ishii, K. (2018) · Scientific Reports · doi:10.1038/s41598-018-29937-y · Cited by 49
Meta-analytic Comparison Between PIB-PET and FDG-PET Results in Alzheimer’s Disease and MCI
He, W., Liu, D.-H., Radua, J., Li, G., Han, B.-J., & Sun, Z.-G. (2014) · Cell Biochemistry and Biophysics · doi:10.1007/s12013-014-0138-7 · Cited by 50
Histogram-Based Features Selection and Volume of Interest Ranking for Brain PET Image Classification
Garali, I., Adel, M., Bourennane, S., & Guedj, É. (2018) · IEEE Journal of Translational Engineering in Health and Medicine · doi:10.1109/jtehm.2018.2796600 · Cited by 48
Knezović, A., Barilar, J. O., Perhoč, A. B., Bagarić, R., Farkaš, V., Riederer, P. F., & Šalković‐Petrišić, M. (2018) · Neuropharmacology · doi:10.1016/j.neuropharm.2018.02.027 · Cited by 45
Sundermann, E. E., Thomas, K. R., Bangen, K. J., Weigand, A. J., Eppig, J. S., Edmonds, E. C., Wong, C. G., Bondi, M. W., & Delano‐Wood, L. (2021) · Frontiers in Neurology · doi:10.3389/fneur.2021.551975 · Cited by 47
Blanc, F., Bouteloup, V., Paquet, C., Marie Chupin, A., Pasquier, F., Gabelle, A., Ceccaldi, M. P., de Sousa, P. L., Krolak‐Salmon, P., David, R., et al. (2022) · Alzheimer s Research & Therapy · doi:10.1186/s13195-022-01037-0 · Cited by 45
Sörensen, A., Blazhenets, G., Rücker, G., Schiller, F., Meyer, P. T., & Frings, L. (2018) · NeuroImage Clinical · doi:10.1016/j.nicl.2018.101637 · Cited by 44
Sex Differences in Alzheimer’s Disease: Where Do We Stand?
Medeiros, A. D. M., & Silva, R. H. (2018) · Journal of Alzheimer s Disease · doi:10.3233/jad-180213 · Cited by 42
The detection of β-amyloid plaques in an Alzheimer's disease rat model with DDNP-SPIO
Zhang, D., Fa, H., Zhou, J., Li, S., Diao, X.-W., & Yin, W. H. (2014) · Clinical Radiology · doi:10.1016/j.crad.2014.09.019 · Cited by 43
Neurovascular and Cognitive failure in Alzheimer’s Disease: Benefits of Cardiovascular Therapy
Hamel, É., Royea, J., Ongali, B., & Tong, X. (2016) · Cellular and Molecular Neurobiology · doi:10.1007/s10571-015-0285-4 · Cited by 43
Wang, C., Pan, Y., Liu, Y., Xu, K., Hao, L., Huang, F., Ke, J., Sheng, L., Ma, H., & Guo, W. (2018) · Neurological Sciences · doi:10.1007/s10072-018-3306-5 · Cited by 41
Youssofzadeh, V., McGuinness, B., Maguire, L., & Wong‐Lin, K. (2017) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2017.00380 · Cited by 40
Chen, K., Ayutyanont, N., Langbaum, J. B. S., Fleisher, A., Reschke, C., Lee, W., Liu, X., Alexander, G. E., Bandy, D., Caselli, R. J., et al. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.02.005 · Cited by 39
Self-citationTomasi, D. G., Kojori, E. S., & Volkow, N. D. (2016) · PLoS ONE · doi:10.1371/journal.pone.0154407 · Cited by 43
Smith, C. J., Ashford, J. W., & Perfetti, T. A. (2019) · Journal of Alzheimer s Disease · doi:10.3233/jad-181089 · Cited by 40
Brain Functional Network in Alzheimer′s Disease: Diagnostic Markers for Diagnosis and Monitoring
Rodriguez, G., Arnaldi, D., & Picco, A. (2011) · International Journal of Alzheimer s Disease · doi:10.4061/2011/481903 · Cited by 41
Li, Q., Wu, X., Xu, L., Chen, K., Yao, L., & Initiative, A. D. N. (2018) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2017.00117 · Cited by 37
Self-citationTirzepatide shows neuroprotective effects via regulating brain glucose metabolism in APP/PS1 mice
Yang, S., Zhao, X., Zhang, Y., Tang, Q., Li, Y., Du, Y., & yu, P. (2024) · Peptides · doi:10.1016/j.peptides.2024.171271 · Cited by 37
Ishibashi, K., Kawasaki, K., Ishiwata, K., & Ishii, K. (2015) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1038/jcbfm.2015.127 · Cited by 37
Pasquini, L., Initiative, A. D. N., Benson, G. S., Grothe, M. J., Utz, L., Myers, N. E., Yakushev, I. Y., Grimmer, T., Scherr, M., & Sorg, C. (2017) · Journal of Alzheimer s Disease · doi:10.3233/jad-170096 · Cited by 39
Multi-modal discriminative dictionary learning for Alzheimer's disease and mild cognitive impairment
Li, Q., Wu, X., Xu, L., Chen, K., Yao, L., & Li, R. (2017) · Computer Methods and Programs in Biomedicine · doi:10.1016/j.cmpb.2017.07.003 · Cited by 36
Self-citationKetones improves Apolipoprotein E4-related memory deficiency via sirtuin 3
Yin, J., Nielsen, M., Li, S., & Shi, J. (2019) · Aging · doi:10.18632/aging.102070 · Cited by 35
Kaneta, T., Katsuse, O., Hirano, T., Ogawa, M., Shihikura-Hino, A., Yoshida, K., Odawara, T., Hirayasu, Y., & Inoue, T. (2017) · BMC Neurology · doi:10.1186/s12883-017-0870-x · Cited by 34
Arab, L., Sadeghi, R., Walker, D. G., Lue, L.-F., & Sabbagh, M. N. (2011) · Current Neuropharmacology · doi:10.2174/157015911798376334 · Cited by 35
Wang, Y., Pan, F., Xie, F., He, R., & Guo, Q. (2022) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2022.820385 · Cited by 33
Bauer, C. M., Cabral, H., & Killiany, R. (2018) · Diagnostics · doi:10.3390/diagnostics8010014 · Cited by 32
Wang, T., Huang, Q., Reiman, E. M., Chen, K., Li, X., Li, G., Lin, Z., Li, C., & Xiao, S. (2013) · Journal of Clinical Psychopharmacology · doi:10.1097/jcp.0b013e31829a876a · Cited by 34
Self-citationGamberger, D., Ženko, B., Mitelpunkt, A., Shachar, N., & Lavrač, N. (2016) · Brain Informatics · doi:10.1007/s40708-016-0035-5 · Cited by 42
Alteration of the regional cerebral glucose metabolism in healthy subjects by glucose loading
Ishibashi, K., Wagatsuma, K., Ishiwata, K., & Ishii, K. (2016) · Human Brain Mapping · doi:10.1002/hbm.23210 · Cited by 32
Neuroimaging in the Clinical Diagnosis of Dementia: Observations from a Memory Disorders Clinic
Borghesani, P. R., DeMers, S. M., Manchanda, V., Pruthi, S., Lewis, D. H., & Soo Borson, B. (2010) · Journal of the American Geriatrics Society · doi:10.1111/j.1532-5415.2010.02975.x · Cited by 31
Regional analysis of FDG-PET for use in the classification of Alzheimer'S Disease
Gray, K. R., Wolz, R., Shiva Keihaninejad, A., Heckemann, R. A., Aljabar, P., Hammers, A., & Rueckert, D. (2011) · IEEE International Symposium on Biomedical Imaging (ISBI) · doi:10.1109/isbi.2011.5872589 · Cited by 31
Use of Biomarkers in Clinical Trials of Alzheimer Disease
Wu, L., Rosa‐Neto, P., & Gauthier, S. G. (2011) · Molecular Diagnosis & Therapy · doi:10.1007/bf03256467 · Cited by 32
GLP-1 Analogs, SGLT-2, and DPP-4 Inhibitors: A Triad of Hope for Alzheimer’s Disease Therapy
Złotek, M., Kurowska, A., Herbet, M., & Piątkowska‐Chmiel, I. (2023) · Biomedicines · doi:10.3390/biomedicines11113035 · Cited by 30
Marano, C. M., Workman, C. I., Lyman, C. H., Kramer, E., Hermann, C. R., Ma, Y., DHAWAN, V. M., Chaly, T., Eidelberg, D., & Smith, G. S. (2014) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2014.01.009 · Cited by 30
Liu, S., Cai, W., Wen, L., Feng, D. D., Pujol, S., Kikinis, R., FULHAM, M. J., & Eberl, S. (2014) · Computerized Medical Imaging and Graphics · doi:10.1016/j.compmedimag.2014.05.003 · Cited by 29
Chen, Y., Liu, Z., Zhang, J., Chen, K., Li, Y., Li, X., Gong, G., Wang, J., & Zhang, Z. (2016) · Human Brain Mapping · doi:10.1002/hbm.23359 · Cited by 29
Self-citationMultiplexing Biomarker Methods, Proteomics and Considerations for Alzheimer’s Disease
Robinson, R. A. S., Amin, B., & Guest, P. C. (2017) · Advances in experimental medicine and biology · doi:10.1007/978-3-319-52479-5_2 · Cited by 29
Loftus, J. R., Puri, S., & Meyers, S. P. (2023) · Insights into Imaging · doi:10.1186/s13244-022-01358-6 · Cited by 30
Fini, E. H., Pahlavan, F., Vega, N. O., Bibo, A., Kaur, H., Ghasemi, H., Aldagari, S., Hung, A. M., Kannan, L., Yazdani, H., et al. (2024) · Journal of Hazardous Materials · doi:10.1016/j.jhazmat.2024.136849 · Cited by 27
Biomarkers in Alzheimer’s, Frontotemporal, Lewy Body, and Vascular Dementias
Koenig, A. M., Nobuhara, C. K., Williams, V. J., & Arnold, S. E. (2018) · FOCUS The Journal of Lifelong Learning in Psychiatry · doi:10.1176/appi.focus.20170048 · Cited by 29
Alzheimer'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
Arnold, S. E., Vega, I. E., Karlawish, J. H., Wolk, D. A., Nuñez, J., Negrón, M., Xie, S. X., Wang, L.-S., Dubroff, J. G., McCarty-Wood, E., et al. (2013) · Journal of Alzheimer s Disease · doi:10.3233/jad-2012-121570 · Cited by 27
Yun, H. J., Kwak, K., Lee, J., & Initiative, A. D. N. (2015) · PLoS ONE · doi:10.1371/journal.pone.0129250 · Cited by 26
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
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
Imaging Approaches for Dementia
Murray, A. D. (2011) · American Journal of Neuroradiology · doi:10.3174/ajnr.a2782 · Cited by 26
Woody, S. K., Zhou, H., Ibrahimi, S., Dong, Y., & Zhao, L. (2016) · Journal of Alzheimer's Disease · doi:10.3233/jad-160307 · Cited by 23
Ishibashi, K., Sakurai, K., Shimoji, K., Tokumaru, A. M., & Ishii, K. (2018) · BMC Neuroscience · doi:10.1186/s12868-018-0433-0 · Cited by 25
Multi-Channel brain atrophy pattern analysis in neuroimaging retrieval
Liu, S., Cai, W., Wen, L., & Feng, D. D. (2013) · IEEE International Symposium on Biomedical Imaging (ISBI) · doi:10.1109/isbi.2013.6556447 · Cited by 23
Khatri, U., & Kwon, G. (2020) · Computational Intelligence and Neuroscience · doi:10.1155/2020/8015156 · Cited by 23
Brain Networks, Clinical Manifestations, and Neuroimaging of Cognitive Disorders
Bonakdarpour, B., & Takarabe, C. (2022) · Clinics in Geriatric Medicine · doi:10.1016/j.cger.2022.07.004 · Cited by 23
Liang, W. S., Chen, K., Lee, W., Sidhar, K., Corneveaux, J. J., Allen, A. N., Myers, A., Villa, S., Meechoovet, B., Pruzin, J. J., et al. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.09.066 · Cited by 23
Self-citationAdvances in PET Imaging of Degenerative, Cerebrovascular, and Traumatic Causes of Dementia
Eisenmenger, L. B., Huo, E. J., Hoffman, J. M., Minoshima, S., Matesan, M. C., Lewis, D. H., Lopresti, B. J., Mathis, C. A., Okonkwo, D. O., & Mountz, J. M. (2015) · Seminars in Nuclear Medicine · doi:10.1053/j.semnuclmed.2015.09.003 · Cited by 21
Perhoč, A. B., Barilar, J. O., Knezović, A., Farkaš, V., Bagarić, R., Švarc, A., Grünblatt, E., Riederer, P., & Šalković‐Petrišić, M. (2018) · Neuropharmacology · doi:10.1016/j.neuropharm.2018.12.018 · Cited by 23
Differential regulation of insulin signalling by monomeric and oligomeric amyloid beta-peptide
Molina-Fernández, R., Picón-Pagès, P., Barranco-Almohalla, A., Crepin, G., Herrera-Fernández, V., García-Elías, A., Fanlo-Ucar, H., Fernàndez‐Busquets, X., García‐Ojalvo, J., Oliva, B., et al. (2022) · Brain Communications · doi:10.1093/braincomms/fcac243 · Cited by 23
A transfer learning approach for network modeling
Huang, S., Li, J., Chen, K., Wu, T., Ye, J., Wu, X., & Yao, L. (2012) · IIE Transactions · doi:10.1080/0740817x.2011.649390 · Cited by 22
Self-citationWang, J., Lv, P., Wang, H., Li, Z., Li, N., Sun, Z., Zhao, B., & Huang, Y. M. (2013) · Journal of Clinical Neuroscience · doi:10.1016/j.jocn.2012.09.025 · Cited by 23
Ma, C., Wang, J., Zhang, J., Chen, K., Li, X., Shu, N., Chen, Y., Liu, Z., & Zhang, Z. (2017) · Molecular Neurobiology · doi:10.1007/s12035-016-0224-5 · Cited by 21
Self-citationEffects of BDNF Val66Met polymorphism on brain metabolism in Alzheimer's disease
Xu, C., Wang, Z., Fan, M., Liu, B., Song, M., Zhen, X., & Jiang, T. (2010) · Neuroreport · doi:10.1097/wnr.0b013e32833ccaf4 · Cited by 21
Ultrafast method for mapping local functional connectivity hubs in the human brain
Tomasi, D. G., & Volkow, N. D. (2010) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.2010.5626180 · Cited by 21
Applications of Neuroimaging to Disease-Modification Trials in Alzheimer’s Disease
Fleisher, A., Donohue, M., Chen, K., Brewer, J. B., Aisen, P. S. S., & Initiative, T. A. D. N. (2009) · Behavioural Neurology · doi:10.1155/2009/836437 · Cited by 21
Self-citationKumar, P., Osahon, O. W., & Sekhar, R. V. (2023) · Antioxidants · doi:10.3390/antiox12051042 · Cited by 22
Basso, G., Magon, S., Reggiani, F., Capasso, R., Monittola, G., Yang, F.-J., & Miceli, G. (2013) · Brain and Language · doi:10.1016/j.bandl.2013.07.002 · Cited by 25
Storti, S. F., Galazzo, I. B., Montemezzi, S., Menegaz, G., & Pizzini, F. B. (2017) · Human Brain Mapping · doi:10.1002/hbm.23804 · Cited by 20
Maximizing the Alzheimer's Disease Neuroimaging Initiative II
Carrillo, M. C., Sanders, C. A., & Katz, R. G. (2009) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2009.02.005 · Cited by 20
A 3D difference-of-Gaussian-based lesion detector for brain PET
Cai, W., Liu, S., Song, Y., Pujol, S., Kikinis, R., & Feng, D. D. (2014) · IEEE International Symposium on Biomedical Imaging (ISBI) · doi:10.1109/isbi.2014.6867961 · Cited by 19
The Dichotomy of Alzheimer’s Disease Pathology: Amyloid-β and Tau
Ashford, J. W. (2019) · Journal of Alzheimer s Disease · doi:10.3233/jad-181198 · Cited by 19
Ishibashi, K., Onishi, A., Fujiwara, Y., Ishiwata, K., & Ishii, K. (2016) · Clinical Nuclear Medicine · doi:10.1097/rlu.0000000000001147 · Cited by 19
Longitudinal FDG-PET features for the classification of Alzheimer's disease
Rodrigues, F., & Silveira, M. (2014) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2014.6943992 · Cited by 19
Increased fMRI signal with age in familial Alzheimer's disease mutation carriers
Braskie, M. N., Medina, L. D., Rodríguez‐Agudelo, Y., Geschwind, D. H., Macías-Islas, M. Á., Cummings, J. L., Bookheimer, S. Y., & Ringman, J. M. (2010) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2010.09.028 · Cited by 18
Human apolipoprotein E glycosylation and sialylation: from structure to function
Moon, H.-J., Luo, Y., Chugh, D., & Zhao, L. (2024) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2024.1399965 · Cited by 18
Homogeneous clusters of Alzheimer’s disease patient population
Gamberger, D., Ženko, B., Mitelpunkt, A., & Lavrač, N. (2016) · BioMedical Engineering OnLine · doi:10.1186/s12938-016-0183-0 · Cited by 19
Hibar, D. P., Jahanshad, N., Stein, J. L., Omid Kohannim, A., Toga, A. W., Medland, S. E., Hansell, N. K., McMahon, K. L., de Zubicaray, G. I., Montgomery, G. W., et al. (2012) · Twin Research and Human Genetics · doi:10.1017/thg.2012.15 · Cited by 17
Clusterin (APOJ) in Alzheimer’s Disease: An Old Molecule with a New Role
Woody, S. K., & Zhao, L. (2016) · InTech eBooks · doi:10.5772/64233 · Cited by 17
Scherr, M., Initiative, A. D. N., Pasquini, L., Benson, G. S., Nuttall, R., Gruber, M. J., Neitzel, J., Brandl, F., & Sorg, C. (2018) · Journal of Alzheimer s Disease · doi:10.3233/jad-180022 · Cited by 17
Stonnington, C. M., Velgos, S. N., Chen, Y., Syed, S., Huentelman, M. J., Thiyyagura, P., Lee, W., Richholt, R., Caselli, R. J., Locke, D. E. C., et al. (2020) · Journal of Alzheimer s Disease · doi:10.3233/jad-200132 · Cited by 18
Self-citationMa, D., Yee, E., Stocks, J. K., Jenkins, L. M., Popuri, K., Chausse, G., Wang, L., Probst, S., & Beg, M. F. (2021) · Journal of Alzheimer s Disease · doi:10.3233/jad-201591 · Cited by 17
Wu, X., Chen, K., Yao, L., Ayutyanont, N., Langbaum, J. B. S., Fleisher, A., Reschke, C., Lee, W., Liu, X., Alexander, G. E., et al. (2010) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2010.07.030 · Cited by 17
Self-citationHojjati, S. H., Abbas Babajani-feremi, A., & Initiative, T. A. D. N. (2024) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2024.1356656 · Cited by 15
Altering Mitochondrial Dysfunction as an Approach to Treating Alzheimer’s Disease
Colca, J. R., & Feinstein, D. L. (2012) · Advances in pharmacology · doi:10.1016/b978-0-12-394816-8.00005-2 · Cited by 14
Classification of ADNI PET images via regularized 3D functional data analysis
Wang, X., Nan, B., Zhu, J., Koeppe, R. A., & Frey, K. A. (2017) · Biostatistics & Epidemiology · doi:10.1080/24709360.2017.1280213 · Cited by 14
Self-citationStonnington, C. M., Chen, Y., Savage, C. R., Lee, W., Bauer, R. J., III, Sharieff, S., Thiyyagura, P., Alexander, G. E., Caselli, R. J., Locke, D. E. C., et al. (2018) · Journal of Alzheimer s Disease · doi:10.3233/jad-170852 · Cited by 14
Self-citationA whole‐brain functional connectivity model of Alzheimer's disease pathology
Prakash, R. S., McKenna, M. R., Gbadeyan, O., Shankar, A., Pugh, E., Teng, J., Andridge, R., Berry, A. S., & Scharre, D. W. (2024) · Alzheimer s & Dementia · doi:10.1002/alz.14349 · Cited by 12
Yao, Z., Hu, B., Nan, H., Zheng, W., & Xie, Y. (2016) · IEEE International Conference on Bioinformatics and Biomedicine (BIBM) · doi:10.1109/bibm.2016.7822710 · Cited by 12
FDG-PET for early assessment of Alzheimer’s disease: isn’t the evidence base large enough?
Lucignani, G., & Nobili, F. M. (2010) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-010-1535-9 · Cited by 11
Villain, N., Chételat, G., Desgranges, B., & Eustache, F. (2010) · Biologie Aujourd hui · doi:10.1051/jbio/2010010 · Cited by 12
Yang, S., Zhou, F., Ma, M., Yuan, Y., Zhao, S., & Yu, P. (2020) · Neurochemical Research · doi:10.1007/s11064-020-03106-y · Cited by 9
Recent Advances in Neuroimaging Biomarkers in Geriatric Psychiatry
Khandai, A. C., & Aizenstein, H. J. (2013) · Current Psychiatry Reports · doi:10.1007/s11920-013-0360-9 · Cited by 10
Indirect relation based individual metabolic network for identification of mild cognitive impairment
Li, Y., Yao, Z., Zhang, H., & Hu, B. (2018) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2018.09.007 · Cited by 11
Galili, T., Mitelpunkt, A., Shachar, N., Marcus-Kalish, M., & Benjamini, Y. (2014) · Lecture notes in computer science · doi:10.1007/978-3-319-11812-3_7 · Cited by 11
Risacher, S. L. (2024) · CONTINUUM Lifelong Learning in Neurology · doi:10.1212/con.0000000000001509 · Cited by 11
Imago Mundi, Imago AD, Imago ADNI
Villemagne, V. L., Kim, S. Y., Rowe, C. C., & Iwatsubo, T. (2014) · Alzheimer s Research & Therapy · doi:10.1186/s13195-014-0062-5 · Cited by 10
Metadata
- Authors
- Langbaum, J. B. S., Chen, K., Lee, W., Reschke, C., Bandy, D., Fleisher, A. S., Alexander, G. E., Foster, N. L., Weiner, M. W., Koeppe, R. A., Jagust, W. J., & Reiman, E. M.
- Affiliations
- Banner Alzheimer’s Institute (US)
- University of Arizona (US)
- University of California San Diego (US)
- University of Utah (US)
- San Francisco VA Medical Center (US)
- University of Michigan (US)
- University of California, Berkeley (US)
- Translational Genomics Research Institute (US)
- Corresponding author
- Reiman, Eric M.
- ORCID
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2009-05
- Volume
- 45
- Issue
- 4
- Pages
- 1107-1116
- ISSN
- 1053-8119 (ISSN-L)
- PMC
- PMC2886795
- OpenAlex
- W2016228161
- Cited by
- 279
- References
- 59
- Citations by year
- 2026: 5 · 2025: 8 · 2024: 10 · 2023: 6 · 2022: 8 · 2021: 9 · 2020: 8 · 2019: 11 · 2018: 26 · 2017: 14 · 2016: 21 · 2015: 15 · 2014: 22 · 2013: 26 · 2012: 24
- FWCI
- 18.55
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- NeuroImage (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health (5u01ag024904-10)
- National Institute on Aging (U01-AG-024904, P30AG019610, U19AG010483)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Alzheimer's disease research and treatments
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Medical Imaging Techniques and Applications
- Keywords
- Alzheimer's disease, amnestic mild cognitive impairment, FDG-PET, regional cerebral glucose metabolism, posterior cingulate cortex, precuneus, frontal and temporal cortex, disease severity, Mini-Mental State Examination, APOE ε4, ADNI
- MeSH terms
- Aged, Alzheimer Disease, Cerebral Cortex, Cognition Disorders, Female, Humans, Male, Middle Aged, Reference Values, Sensitivity and Specificity, Statistics as Topic, Reproducibility of Results, Radiopharmaceuticals, Fluorodeoxyglucose F18, 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 ›
Are you an author, or do you see a problem with this page? Request a review