Cortical Amyloid Burden Differences Across Empirically-Derived Mild Cognitive Impairment Subtypes and Interaction with APOE ɛ4 Genotype
Open accessAbstract
We examined cortical amyloid-β (Aβ) levels and interactions with apolipoprotein (APOE) ɛ4 genotype status across empirically-derived mild cognitive impairment (MCI) subgroups and cognitively normal older adults. Participants were 583 ADNI participants (444 MCI, 139 normal controls [NC]) with baseline florbetapir positron emission tomography (PET) amyloid imaging and neuropsychological testing. Of those with ADNI-defined MCI, a previous cluster analysis [1] classified 51% (n = 227) of the current sample as amnestic MCI, 8% (n = 37) as dysexecutive/mixed MCI, and 41% (n = 180) as cluster-derived normal (cognitively normal). Results demonstrated that the dysexecutive/mixed and amnestic MCI groups showed significantly greater levels of amyloid relative to the cluster-derived normal and NC groups who did not differ from each other. Additionally, 78% of the dysexecutive/mixed, 63% of the amnestic MCI, 42% of the cluster-derived normal, and 34% of the NC group exceeded the amyloid positivity threshold. Finally, a group by APOE genotype interaction demonstrated that APOE ɛ4 carriers within the amnestic MCI, cluster-derived normal, and NC groups showed significantly greater amyloid accumulation compared to non-carriers of their respective group. Such an interaction was not revealed within the dysexecutive/mixed MCI group which was characterized by both greater cognitive impairment and amyloid accumulation compared to the other participant groups. Our results from the ADNI cohort show considerable heterogeneity in Aβ across all groups studied, even within a group of robust NC participants. Findings suggest that conventional criteria for MCI may be susceptible to false positive diagnostic errors, and that onset of Aβ accumulation may occur earlier in APOE ɛ4 carriers compared to non-carriers.
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
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?
About a third of MCI subjects have shown to be incorrectly diagnosed with cognitive impairment.
“We chose to include MCI subjects in addition to healthy controls since the cognitive impairment did not necessarily have to be caused by an underlying AD process and because about a third of MCI subjects have shown to be incorrectly diagnosed with cognitive impairment43–45.”
From Earliest accumulation of β-amyloid occurs within the default-mode network and concurrently affects brain connectivity (2017) · cites this paper as [43]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
McKhann, G. M., Knopman, D. S., Chertkow, H., Hyman, B. T., Jack, C. R., Kawas, C. H., Klunk, W. E., Koroshetz, W. J., Manly, J. J., Mayeux, R., et al. (2011) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2011.03.005 · Cited by 18,657 · see citing works
Albert, M. S., DeKosky, S. T., Dickson, D., Dubois, B., Feldman, H. H., Fox, N. C., Gamst, A., Holtzman, D. M., Jagust, W. J., Petersen, R. C., et al. (2011) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2011.03.008 · Cited by 10,152 · cited 1× · see citing works
“While advances in research of neuroimaging and biofluid markers have improved our ability to detect and diagnose AD [9] and its preceding stages [10, 11], research focused on profiling mild forms of cognitive impairment have failed to reach this same level of sophistication.”
Mild Cognitive Impairment: Clinical Characterization and Outcome
Petersen, R. C., Smith, G. E., Waring, S. C., Ivnik, R. J., Tangalos, E. G., & Kokmen, E. (1999) · Archives of Neurology · doi:10.1001/archneur.56.3.303 · Cited by 8,980 · see citing works
Mild cognitive impairment as a diagnostic entity
Petersen, R. C. (2004) · Journal of Internal Medicine · doi:10.1111/j.1365-2796.2004.01388.x · Cited by 7,864 · see citing works
Sperling, R. A., Aisen, P. S., Beckett, L. A., Bennett, D. A., Craft, S., Fagan, A. M., Iwatsubo, T., Jack, C. R., Kaye, J., Montine, T. J., et al. (2011) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2011.03.003 · Cited by 7,155 · see citing works
2016 Alzheimer's disease facts and figures
Alzheimer's Association (2016) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2016.03.001 · Cited by 5,069 · see citing works
Winblad, B., Palmer, K., Kivipelto, M., Jelic, V., Fratiglioni, L., Wahlund, L. ‐., Nordberg, A., Bäckman, L., Albert, M., Almkvist, O., et al. (2004) · Journal of Internal Medicine · doi:10.1111/j.1365-2796.2004.01380.x · Cited by 4,946 · 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
Alzheimer’s disease drug-development pipeline: Few candidates, frequent failures
Cummings, J. L., Morstorf, T., & Zhong, K. (2014) · Alzheimer's Research & Therapy · doi:10.1186/alzrt269 · Cited by 1,744 · see citing works
Mild cognitive impairment: a concept in evolution
Petersen, R. C., Caracciolo, B., Brayne, C., Gauthier, S., Jelic, V., & Fratiglioni, L. (2014) · Journal of Internal Medicine · doi:10.1111/joim.12190 · Cited by 1,694 · see citing works
2015 Alzheimer's disease facts and figures
Alzheimer's Association (2015) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2015.02.003 · Cited by 1,641 · see citing works
Prevalence of Cerebral Amyloid Pathology in Persons Without Dementia: A Meta-analysis
Jansen, W. J., Ossenkoppele, R., Knol, D. L., Tijms, B. M., Scheltens, P., Verhey, F. R. J., Visser, P. J., Aalten, P., Aarsland, D., Alcolea, D., et al. (2015) · JAMA · doi:10.1001/jama.2015.4668 · Cited by 1,610 · see citing works
Neuronal loss correlates with but exceeds neurofibrillary tangles in Alzheimer's disease
Gómez‐Isla, T., Hollister, R., West, H., Mui, S., Growdon, J. H., Petersen, R. C., Parisi, J. E., & Hyman, B. T. (1997) · Annals of Neurology · doi:10.1002/ana.410410106 · Cited by 1,489 · see citing works
Matthews, F. E., Arthur, A., Barnes, L. E., Bond, J., Jagger, C., Robinson, L., & Brayne, C. (2013) · The Lancet · doi:10.1016/s0140-6736(13)61570-6 · Cited by 1,155 · see citing works
Imaging β-amyloid burden in aging and dementia
Rowe, C. C., Ng, S., Ackermann, U., Gong, S. J., Pike, K., Savage, G., Cowie, T. F., Dickinson, K. L., Maruff, P., Darby, D., et al. (2007) · Neurology · doi:10.1212/01.wnl.0000261919.22630.ea · Cited by 1,104 · see citing works
Mild Cognitive Impairment as a Clinical Entity and Treatment Target
Petersen, R. C., & Morris, J. C. (2005) · Archives of Neurology · doi:10.1001/archneur.62.7.1160 · Cited by 935 · see citing works
Mild cognitive impairment in the elderly: Predictors of dementia
Flicker, C., Ferris, S. H., & Reisberg, B. (1991) · Neurology · doi:10.1212/wnl.41.7.1006 · Cited by 838 · see citing works
Longitudinal assessment of Aβ and cognition in aging and Alzheimer disease
Villemagne, V. L., Pike, K. E., Chételat, G., Ellis, K. A., Mulligan, R. S., Bourgeat, P., Ackermann, U., Jones, G., Szoeke, C., Salvado, O., et al. (2011) · Annals of Neurology · doi:10.1002/ana.22248 · Cited by 833 · see citing works
Quantification of Five Neuropsychological Approaches to Defining Mild Cognitive Impairment
Jak, A. J., Bondi, M. W., Delano-Wood, L., Wierenga, C., Corey-Bloom, J., Salmon, D. P., & Delis, D. C. (2009) · The American Journal of Geriatric Psychiatry · doi:10.1097/jgp.0b013e31819431d5 · Cited by 823 · see citing works
Self-citationReiman, E. M., Chen, K., Liu, X., Bandy, D., Yu, M., Lee, W., Ayutyanont, N., Keppler, J., Reeder, S. A., Langbaum, J. B. S., et al. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0900345106 · Cited by 785 · see citing works
The A4 Study: Stopping AD Before Symptoms Begin?
Sperling, R. A., Rentz, D. M., Johnson, K. A., Karlawish, J. H., Donohue, M., Salmon, D. P., & Aisen, P. S. S. (2014) · Science Translational Medicine · doi:10.1126/scitranslmed.3007941 · Cited by 756 · see citing works
Bondi, M. W., Initiative, F. T. A. D. N., Edmonds, E. C., Jak, A. J., Clark, L. R., Delano-Wood, L., McDonald, C. R., Nation, D. A., Libon, D. J., Au, R., et al. (2014) · Journal of Alzheimer's Disease · doi:10.3233/jad-140276 · Cited by 750 · see citing works
Self-citationPrevalence of Amyloid PET Positivity in Dementia Syndromes: A Meta-analysis
Ossenkoppele, R., Jansen, W. J., Rabinovici, G. D., Knol, D. L., van der Flier, W. M., van Berckel, B. N. M., Scheltens, P., Visser, P. J., Verfaillie, S. C. J., Zwan, M. D., et al. (2015) · JAMA · doi:10.1001/jama.2015.4669 · Cited by 677 · see citing works
Neuropathology of nondemented aging: presumptive evidence for preclinical Alzheimer disease
Price, J. L., McKeel, D. W., Buckles, V. D., Roe, C. M., Xiong, C., Grundman, M., Hansen, L. A., Petersen, R. C., Parisi, J. E., Dickson, D. W., et al. (2009) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2009.04.002 · Cited by 661 · see citing works
Lombardo, I., Ramaswamy, G., Piscitelli, S. C., & Friedhoff, L. T. (2015) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2015.08.154 · Cited by 656 · see citing works
Education modifies the relation of AD pathology to level of cognitive function in older persons
Bennett, D. A., Wilson, R. S., Schneider, J. A., Evans, D. A., Mendes de Leon, C. F., Arnold, S. E., Barnes, L. L., & Bienias, J. L. (2003) · Neurology · doi:10.1212/01.wnl.0000069923.64550.9f · Cited by 549 · see citing works
Mild cognitive impairment is related to Alzheimer disease pathology and cerebral infarctions
Bennett, D. A., Schneider, J. A., Bienias, J. L., Evans, D. A., & Wilson, R. S. (2005) · Neurology · doi:10.1212/01.wnl.0000152982.47274.9e · Cited by 537 · see citing works
Inconsistencies and Controversies Surrounding the Amyloid Hypothesis of Alzheimer's Disease
Morris, G. P., Clark, I. A., & Vissel, B. (2014) · Acta Neuropathologica Communications · doi:10.1186/s40478-014-0135-5 · Cited by 522 · see citing works
Alzheimer neuropathologic alterations in aged cognitively normal subjects
Davis, D. G., Schmitt, F. A., Wekstein, D. R., & Markesbery, W. R. (1999) · Journal of Neuropathology and Experimental Neurology · doi:10.1097/00005072-199904000-00008 · Cited by 516 · cited 1× · see citing works
“Specifically, our results dovetail with neuropathological studies that have demonstrated that 33–50% of individuals without cognitive impairment show a significant amount of AD pathology at autopsy [38–41], and 10–30% of cognitively normal participants have considerably high brain levels of A (PiB and florbetapir stud…”
Landau, S. M., Breault, C., Joshi, A. D., Pontecorvo, M. J., Mathis, C. A., Jagust, W. J., & Mintun, M. A. (2012) · Journal of Nuclear Medicine · doi:10.2967/jnumed.112.109009 · Cited by 465 · see citing works
β-Amyloid burden in healthy aging: Regional distribution and cognitive consequences
Rodrigue, K. M., Kennedy, K. M., Devous, M. D., Rieck, J. R., Hebrank, A. C., Diaz-Arrastia, R., Mathews, D., & Park, D. C. (2012) · Neurology · doi:10.1212/wnl.0b013e318245d295 · Cited by 419 · see citing works
Joshi, A. D., Pontecorvo, M. J., Clark, C. M., Carpenter, A. P., Jennings, D. L., Sadowsky, C., Adler, L. P., Kovnat, K. D., Seibyl, J. P., Arora, A., et al. (2012) · Journal of Nuclear Medicine · doi:10.2967/jnumed.111.090340 · Cited by 391 · see citing works
Age, Sex, andAPOEε4 Effects on Memory, Brain Structure, and β-Amyloid Across the Adult Life Span
Jack, C. R., Wiste, H. J., Weigand, S. D., Knopman, D. S., Vemuri, P., Mielke, M. M., Lowe, V. J., Senjem, M. L., Gunter, J. L., Machulda, M. M., et al. (2015) · JAMA Neurology · doi:10.1001/jamaneurol.2014.4821 · Cited by 382 · see citing works
Apolipoprotein E–dependent accumulation of Alzheimer disease–related lesions begins in middle age
Kok, E., Haikonen, S., Luoto, T., Huhtala, H., Goebeler, S., Haapasalo, H., & Karhunen, P. J. (2009) · Annals of Neurology · doi:10.1002/ana.21696 · Cited by 299 · see citing works
Edmonds, E. C., Delano‐Wood, L., Clark, L. R., Jak, A. J., Nation, D. A., McDonald, C. R., Libon, D. J., Au, R., Galasko, D., Salmon, D. P., et al. (2015) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2014.03.005 · Cited by 256 · see citing works
Self-citationNonamnestic mild cognitive impairment progresses to dementia with Lewy bodies
Ferman, T. J., Smith, G. E., Kantarci, K., Boeve, B. F., Pankratz, V. S., Dickson, D. W., Graff-Radford, N. R., Wszolek, Z., Van Gerpen, J., Uitti, R., et al. (2013) · Neurology · doi:10.1212/01.wnl.0000436942.55281.47 · Cited by 236 · see citing works
Drachman, D. A. (2014) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2013.11.003 · Cited by 224 · see citing works
Neuropsychological Contributions to the Early Identification of Alzheimer’s Disease
Bondi, M. W., Jak, A. J., Delano-Wood, L., Jacobson, M. W., Delis, D. C., & Salmon, D. P. (2008) · Neuropsychology Review · doi:10.1007/s11065-008-9054-1 · Cited by 216 · see citing works
Self-citationFleisher, A. S., Chen, K., Liu, X., Ayutyanont, N., Roontiva, A., Thiyyagura, P., Protas, H., Joshi, A. D., Sabbagh, M., Sadowsky, C. H., et al. (2013) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2012.04.017 · Cited by 202 · see citing works
Tokuda, T., Ikeda, S., Yanagisawa, N., Ihara, Y., & Glenner, G. G. (1991) · Acta Neuropathologica · doi:10.1007/bf00308813 · Cited by 197 · see citing works
Are Empirically-Derived Subtypes of Mild Cognitive Impairment Consistent with Conventional Subtypes?
Clark, L. R., Delano-Wood, L., Libon, D. J., McDonald, C. R., Nation, D. A., Bangen, K. J., Jak, A. J., Au, R., Salmon, D. P., & Bondi, M. W. (2013) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617713000313 · Cited by 167 · see citing works
Self-citationDELANO-WOOD, L., BONDI, M. W., SACCO, J., ABELES, N., JAK, A. J., LIBON, D. J., & BOZOKI, A. (2009) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617709990257 · Cited by 155 · cited 1× · see citing works
“Additionally, recent research has demonstrated significant heterogeneity in MCI [14, 15, 19], considerable instability regarding the diagnosis of MCI, and highly variable prevalence rates across studies [20, 21].”
Self-citationThe heterogeneity of mild cognitive impairment: A neuropsychological analysis
LIBON, D. J., XIE, S. X., EPPIG, J., WICAS, G., LAMAR, M., LIPPA, C., BETTCHER, B. M., PRICE, C. C., GIOVANNETTI, T., SWENSON, R., et al. (2010) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617709990993 · Cited by 130 · see citing works
Self-citationBiological heterogeneity in ADNI amnestic mild cognitive impairment
Nettiksimmons, J., DeCarli, C. S., Landau, S. M., Beckett, L. A., & Initiative, A. D. N. (2014) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2013.09.003 · Cited by 118 · see citing works
Bangen, K. J., Nation, D. A., Delano‐Wood, L., Weissberger, G. H., Hansen, L. A., Galasko, D. R., Salmon, D. P., & Bondi, M. W. (2014) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2013.12.025 · Cited by 115 · see citing works
Self-citationRegional White Matter Pathology in Mild Cognitive Impairment
Delano‐Wood, L., Abeles, N., Sacco, J. M., Wierenga, C. E., Horne, N. R., & Bozoki, A. (2008) · Stroke · doi:10.1161/strokeaha.107.502534 · Cited by 106 · see citing works
Self-citationSaxton, J., Snitz, B. E., Lopez, O. L., Ives, D. G., Dunn, L. O., Fitzpatrick, A., Carlson, M. C., DeKosky, S. T., & for the GEM Study Investigators (2009) · Journal of Neurology, Neurosurgery & Psychiatry · doi:10.1136/jnnp.2008.160705 · Cited by 106 · see citing works
Balasubramanian, A. B., Kawas, C. H., Peltz, C. B., Brookmeyer, R., & Corrada, M. M. (2012) · Neurology · doi:10.1212/wnl.0b013e318266fc77 · Cited by 99 · see citing works
Changes in Aβ biomarkers and associations with APOE genotype in 2 longitudinal cohorts
Resnick, S. M., Bilgel, M., Moghekar, A., An, Y., Cai, Q., Wang, M., Thambisetty, M., Prince, J. L., Zhou, Y., Soldan, A., et al. (2015) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2015.04.001 · Cited by 64 · see citing works
Mild cognitive impairment: International perspectives
Jak, A. J. (2007) · Journal of Clinical and Experimental Neuropsychology · doi:10.1080/13803390701472786 · Cited by 44 · see citing works
Dysexecutive Functioning in Mild Cognitive Impairment: Derailment in Temporal Gradients
Eppig, J. S., Wambach, D. M., Nieves, C., Price, C. C., Lamar, M., Delano‐Wood, L., Giovannetti, T., Bettcher, B. M., Penney, D. L., Swenson, R., et al. (2011) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617711001238 · Cited by 44 · see citing works
Self-citationDrachman, D. A., & Newell, K. L. (1999) · New England Journal of Medicine · doi:10.1056/nejm199904223401609 · Cited by 35 · see citing works
Drachman, D. A., & Newell, K. L. (1999) · The Journal of the American Medical Association (JAMA) Network (American Medical Association) · Cited by 14 · see citing works
Flagged first, then by citations
Research works printed but not linked: 1
- [47]Terry RD Masliah E Hansen LA 1999 The neuropathology of Alzheimer disease and the structural basis of its cognitive alterations Alzheimer disease Terry RD Katz-man R Bick KL Sisodia SS Lippincott Williams & Wilkens Philadelphia 187 206
Cited by
Sorted by citations
Palmqvist, S., Schöll, M., Strandberg, O., Mattsson, N., Stomrud, E., Zetterberg, H., Blennow, K., Landau, S., Jagust, W., & Hansson, O. (2017) · Nature Communications · doi:10.1038/s41467-017-01150-x · Cited by 911 · see citing works
Association Between Midlife Risk Factors and Late-Onset Epilepsy
Johnson, E. L., Krauss, G. L., Lee, A. K., Schneider, A. L. C., Dearborn, J. L., Kucharska‐Newton, A., Huang, J., Alonso, Á., & Gottesman, R. F. (2018) · JAMA Neurology · doi:10.1001/jamaneurol.2018.1935 · Cited by 166 · see citing works
The Role of Biomarkers in Alzheimer’s Disease Drug Development
Cummings, J. L. (2019) · Advances in experimental medicine and biology · doi:10.1007/978-3-030-05542-4_2 · Cited by 150 · see citing works
Early versus late MCI: Improved MCI staging using a neuropsychological approach
Edmonds, E. C., McDonald, C. R., Marshall, A. J., Thomas, K. R., Eppig, J. S., Weigand, A. J., Delano‐Wood, L., Galasko, D. R., Salmon, D. P., Bondi, M. W., et al. (2019) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2018.12.009 · Cited by 143 · see citing works
Self-citationHernandez-Rapp, J., Rainone, S., Goupil, C., Dorval, V., Smith, P. Y., Saint‐Pierre, M., Vallée, M., Planel, E., Droit, A., Calon, F., et al. (2016) · Scientific Reports · doi:10.1038/srep30953 · Cited by 143 · see citing works
<i>APOE</i> genotype and early β-amyloid accumulation in older adults without dementia
Lim, Y. Y., Mormino, E. C., Initiative, F. T. A. D. N., Initiative, A. D. N., Weiner, M., Aisen, P., Weiner, M., Aisen, P., Petersen, R., Jack, C. R., et al. (2017) · Neurology · doi:10.1212/wnl.0000000000004336 · Cited by 125 · see citing works
Edmonds, E. C., Weigand, A. J., Thomas, K. R., Eppig, J. S., Delano‐Wood, L., Galasko, D. R., Salmon, D. P., & Bondi, M. W. (2018) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617718000486 · Cited by 89 · see citing works
Self-citationAlzheimer’s disease – the journey of a healthy brain into organ failure
Golde, T. E. (2022) · Molecular Neurodegeneration · doi:10.1186/s13024-022-00523-1 · Cited by 90 · see citing works
Word-list intrusion errors predict progression to mild cognitive impairment.
Thomas, K. R., Initiative*, T. A. D. N., Eppig, J. S., Edmonds, E. C., Jacobs, D. M., Libon, D. J., Au, R., Salmon, D. P., & Bondi, M. W. (2018) · Neuropsychology · doi:10.1037/neu0000413 · Cited by 84 · see citing works
Self-citationHeterogeneous cortical atrophy patterns in MCI not captured by conventional diagnostic criteria
Edmonds, E. C., Eppig, J. S., Bondi, M. W., Leyden, K. M., Goodwin, B., Delano‐Wood, L., McDonald, C. R., & Initiative, A. D. N. (2016) · Neurology · doi:10.1212/wnl.0000000000003326 · Cited by 84 · see citing works
Self-citationRegional hyperperfusion in older adults with objectively-defined subtle cognitive decline
Thomas, K. R., Osuna, J., Weigand, A. J., Edmonds, E. C., Clark, A. L., Holmqvist, S. L., Cota, I. H., Wierenga, C. E., Bondi, M. W., Bangen, K. J., et al. (2020) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1177/0271678x20935171 · Cited by 66 · see citing works
Self-citationThomas, K. R., Edmonds, E. C., Eppig, J. S., Wong, C. G., Weigand, A. J., Bangen, K. J., Jak, A. J., Delano‐Wood, L., Galasko, D. R., Salmon, D. P., et al. (2019) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2019.06.4948 · Cited by 65 · see citing works
Self-citationMüller, W. E., Eckert, A., Eckert, G. P., Fink, H., Friedland, K., Gauthier, S. G., Hoerr, R., Ihl, R., Kasper, S. F., & Möller, H. (2017) · The World Journal of Biological Psychiatry · doi:10.1080/15622975.2017.1308552 · Cited by 60 · see citing works
Targeting psychologic stress signaling pathways in Alzheimer’s disease
Futch, H. S., Croft, C. L., Truong, V., Krause, E. G., & Golde, T. E. (2017) · Molecular Neurodegeneration · doi:10.1186/s13024-017-0190-z · Cited by 60 · see citing works
Bangen, K. J., Clark, A. L., Edmonds, E. C., Evangelista, N. D., Werhane, M. L., Thomas, K. R., Locano, L. E., Tran, M., Zlatar, Z. Z., Nation, D. A., et al. (2017) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2017.00181 · Cited by 57 · see citing works
Self-citationPatterns of longitudinal cortical atrophy over 3 years in empirically derived MCI subtypes
Edmonds, E. C., Weigand, A. J., Hatton, S. N., Marshall, A. J., Thomas, K. R., Ayala, D. A., Bondi, M. W., McDonald, C. R., & Initiative, A. D. N. (2020) · Neurology · doi:10.1212/wnl.0000000000009462 · Cited by 51 · see citing works
Self-citationEdmonds, E. C., Ard, M. C., Edland, S. D., Galasko, D. R., Salmon, D. P., & Bondi, M. W. (2017) · Alzheimer s & Dementia Translational Research & Clinical Interventions · doi:10.1016/j.trci.2017.11.001 · Cited by 47 · see citing works
Self-citationData-Driven vs Consensus Diagnosis of MCI
Edmonds, E. C., Smirnov, D. S., Thomas, K. R., Graves, L. V., Bangen, K. J., Delano‐Wood, L., Galasko, D. R., Salmon, D. P., & Bondi, M. W. (2021) · Neurology · doi:10.1212/wnl.0000000000012600 · Cited by 44 · see citing works
Self-citationGray matter structural covariance networks changes along the Alzheimer's disease continuum
Li, K., Luo, X., Zeng, Q., Huang, P., Shen, Z., Xu, X., Xu, J., Wang, C., Zhou, J., & Zhang, M. (2019) · NeuroImage Clinical · doi:10.1016/j.nicl.2019.101828 · Cited by 42 · see citing works
Burke, S. L., Hu, T., Spadola, C., Li, T., Naseh, M., Burgess, A., & Cadet, T. J. (2018) · Sleep Medicine · doi:10.1016/j.sleep.2018.09.001 · Cited by 40 · see citing works
Moreno–Grau, S., Rodríguez‐Gómez, O., Sanabria, Á., Pérez‐Cordón, A., Sánchez‐Ruiz, D., Ruiz, C. A., Valero, S., Hernández, I., Rosende‐Roca, M., Mauleón, A., et al. (2017) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2017.10.005 · Cited by 41 · see citing works
Bangen, K. J., Thomas, K. R., Weigand, A. J., Sanchez, D. L., Delano‐Wood, L., Edmonds, E. C., Carmichael, O. T., Schwarz, C. G., Brickman, A. M., & Bondi, M. W. (2019) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2019.10.016 · Cited by 39 · see citing works
Self-citationStockburger, C., Eckert, S. H., Eckert, G. P., Friedland, K., & Müller, W. E. (2018) · Journal of Alzheimer s Disease · doi:10.3233/jad-179915 · Cited by 36 · see citing works
Thomas, K. R., Edmonds, E. C., Delano‐Wood, L., & Bondi, M. W. (2017) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617717000285 · Cited by 35 · see citing works
Self-citationThomas, K. R., Eppig, J. S., Weigand, A. J., Edmonds, E. C., Wong, C. G., Jak, A. J., Delano‐Wood, L., Galasko, D. R., Salmon, D. P., Edland, S. D., et al. (2019) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2018.10.008 · Cited by 35 · see citing works
Self-citationGuest, F. L., Rahmoune, H., & Guest, P. C. (2020) · Advances in Experimental Medicine and Biology · doi:10.1007/978-3-030-42667-5_8 · Cited by 34 · see citing works
Midlife Vascular Factors and Prevalence of Mild Cognitive Impairment in Late-Life in Mexico
Rentería, M. A., Manly, J. J., Vonk, J. M. J., Mejía-Arango, S., Obregon, A. M., Samper‐Ternent, R., Wong, R., Barral, S., & Tosto, G. (2021) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617721000539 · Cited by 33 · see citing works
Diet–Cognition Associations Differ in Mild Cognitive Impairment Subtypes
Huang, Q., Jia, X., Zhang, J., Huang, F., Wang, H., Zhang, B., Wang, L., Jiang, H., & Wang, Z. (2021) · Nutrients · doi:10.3390/nu13041341 · Cited by 29 · see citing works
Regional amyloid correlates of cognitive performance in ageing and mild cognitive impairment
Stevens, D. A., Workman, C. I., Kuwabara, H., Butters, M. A., Savonenko, A. V., Nassery, N., Gould, N. F., Kraut, M. A., Joo, J. H., Kilgore, J. J., et al. (2022) · Brain Communications · doi:10.1093/braincomms/fcac016 · Cited by 30 · see citing works
Edmonds, E. C., Thomas, K. R., Rapcsak, S. Z., Lindemer, S. L., Delano‐Wood, L., Salmon, D. P., & Bondi, M. W. (2024) · Alzheimer s & Dementia · doi:10.1002/alz.13793 · Cited by 27 · see citing works
Self-citationPatterns of Cortical and Subcortical Amyloid Burden across Stages of Preclinical Alzheimer’s Disease
Edmonds, E. C., Bangen, K. J., Delano‐Wood, L., Nation, D. A., Furst, A. J., Salmon, D. P., Bondi, M. W., & Initiative, A. D. N. (2016) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617716000928 · Cited by 27 · see citing works
Self-citationHanfelt, J., Peng, L., Goldstein, F. C., & Lah, J. J. (2018) · Neurobiology of Disease · doi:10.1016/j.nbd.2018.05.025 · Cited by 25 · see citing works
Thomas, K. R., Cook, S. E., Bondi, M. W., Unverzagt, F. W., Gross, A. L., Willis, S. L., & Marsiske, M. (2020) · Neuropsychology · doi:10.1037/neu0000694 · Cited by 23 · see citing works
Self-citationCalcetas, A. T., Thomas, K. R., Edmonds, E. C., Holmqvist, S. L., Edwards, L., Bordyug, M., Delano‐Wood, L., Brickman, A. M., Bondi, M. W., Bangen, K. J., et al. (2022) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2022.06.002 · Cited by 21 · see citing works
Self-citationThe 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 · see citing works
Graves, L. V., Edmonds, E. C., Thomas, K. R., Weigand, A. J., Cooper, S., & Bondi, M. W. (2020) · Journal of Alzheimer s Disease · doi:10.3233/jad-200778 · Cited by 19 · see citing works
Self-citationCognitive Heterogeneity and Risk of Progression in Data-Driven Subtle Cognitive Decline Phenotypes
Thomas, K. R., Bangen, K. J., Weigand, A. J., Ortiz, G., Walker, K. S., Salmon, D. P., Bondi, M. W., & Edmonds, E. C. (2022) · Journal of Alzheimer s Disease · doi:10.3233/jad-220684 · Cited by 17 · see citing works
Self-citationDevlin, K. N., Brennan, L., Saad, L., Giovannetti, T., Hamilton, R. H., Wolk, D. A., Xie, S. X., & Mechanic-Hamilton, D. J. (2021) · Journal of Alzheimer s Disease · doi:10.3233/jad-210455 · Cited by 17 · see citing works
Fountain-Zaragoza, S., Braun, S. E., Horner, M. D., & Benitez, A. (2021) · Journal of Clinical and Experimental Neuropsychology · doi:10.1080/13803395.2021.2007857 · Cited by 12 · see citing works
Laiterä, T., Paananen, J., Helisalmi, S., Sarajärvi, T., Huovinen, J., Laitinen, M. H., Rauramaa, T. H., Alafuzoff, I. I., Remes, A. M., Soininen, H. S., et al. (2016) · Journal of Alzheimer s Disease · doi:10.3233/jad-160554 · Cited by 12 · see citing works
Membreno, R., Thomas, K. R., Calcetas, A. T., Edwards, L., Bordyug, M., Showell, M., Stanfill, M., Brenner, E. K., Walker, K. S., Rotblatt, L. J., et al. (2023) · Alzheimer Disease & Associated Disorders · doi:10.1097/wad.0000000000000585 · Cited by 11 · see citing works
Self-citationVito, A. N. D., Calamia, M. R., Weitzner, D. S., Bernstein, J. P. K., & Initiative, A. D. N. (2018) · International Journal of Geriatric Psychiatry · doi:10.1002/gps.4963 · Cited by 7 · see citing works
Zammit, A. R., Yang, J., Buchman, A. S., Leurgans, S. E., Terrera, G. M., Lipton, R. B., Hall, C. B., Boyle, P. A., & Bennett, D. A. (2021) · Journal of Alzheimer s Disease · doi:10.3233/jad-210484 · Cited by 6 · see citing works
Thomas, K. R., Weigand, A. J., Weigand, A. J., Edwards, L., Durazo, A. A., Membreno, R., Luu, B., Rantins, P., Ly, M. T., Rotblatt, L. J., et al. (2024) · Journal of Alzheimer s Disease · doi:10.3233/jad-240077 · Cited by 5 · see citing works
Self-citationLibon, D. J., Delano‐Wood, L., & Bondi, M. W. (2018) · Springer eBooks · doi:10.1007/978-3-319-56782-2_513-2 · Cited by 5 · see citing works
Self-citationWang, M., Zhang, Z., Wang, Y., Huang, L., Huang, Q., Ren, S., Qian, L., Ni, R., Guo, Q., Guan, Y., et al. (2024) · Advanced Therapeutics · doi:10.1002/adtp.202400008 · Cited by 3 · see citing works
Libon, D. J., Delano‐Wood, L., & Bondi, M. W. (2018) · Springer eBooks · doi:10.1007/978-3-319-57111-9_513 · Cited by 3 · see citing works
Self-citationNeed for an Update for the Guideline for the Management of Mild Cognitive Impairment
Kim, M., & Moon, S. Y. (2022) · Dementia and Neurocognitive Disorders · doi:10.12779/dnd.2022.21.4.107 · Cited by 2 · see citing works
Grey matter volume and CSF biomarkers predict neuropsychological subtypes of MCI
Lefort‐Besnard, J., Naveau, M., Delcroix, N., Decker, L. M., & Cignetti, F. (2023) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2023.07.006 · Cited by 2 · see citing works
Anatomical and Functional Features of the Central Nervous System Lymphatic System
Donahue, M. J., Donahue, P. M. C., Crescenzi, R. L., & McKnight, C. D. (2023) · Springer eBooks · doi:10.1007/978-3-031-10909-6_59
Sundman, M. H., Green, J. M., Fuglevand, A., & Chou, Y.-H. (2024) · Aging Brain · doi:10.1016/j.nbas.2024.100123
- Authors
- Bangen, K. J., Initiative, F. T. A. D. N., Clark, A. L., Werhane, M., Edmonds, E. C., Nation, D. A., Evangelista, N., Libon, D. J., Bondi, M. W., & Delano-Wood, L.
- Affiliations
- University of California San Diego (US)
- San Diego State University (US)
- University of Southern California (US)
- Veterans Affairs San Diego Healthcare System, San Diego, CA, USA
- Corresponding author
- Bangen, Katherine J.
- ORCID
- Venue
- Journal of Alzheimer's Disease
- Publisher
- SAGE Publications
- Published
- 2016-05-23
- Volume
- 52
- Issue
- 3
- Pages
- 849-861
- ISSN
- 1387-2877 (ISSN-L)
- 1875-8908
- PMC
- PMC4884141
- OpenAlex
- W2325401428
- Cited by
- 51
- References
- 53
- Citations by year
- 2024: 4 · 2023: 3 · 2022: 5 · 2021: 6 · 2020: 5 · 2019: 7 · 2018: 9 · 2017: 8 · 2016: 4
- FWCI
- 8.29
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Journal of Alzheimer s Disease (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- U.S. Department of Defense (U01 AG024904, AG024904)
- U.S. Department of Veterans Affairs (IK2 CX000938)
- Alzheimer's Association (NIRG-13-281806, U01 AG024904, W81XWH-12-2-0012)
- Bristol-Myers Squibb (U01 AG024904, AG024904, W81XWH-12-2-0012)
- Eli Lilly and Company (U01 AG024904, AG024904, W81XWH-12-2-0012)
- Pfizer (AG024904, W81XWH-12-2-0012, U01 AG024904)
- Biogen (W81XWH-12-2-0012, U01 AG024904, AG024904)
- University of Southern California (W81XWH-12-2-0012, U01 AG024904)
- F. Hoffmann-La Roche (W81XWH-12-2-0012, AG024904, U01 AG024904)
- Medpace (U01 AG024904)
- Meso Scale Diagnostics (U01 AG024904, AG024904, W81XWH-12-2-0012)
- Synarc (U01 AG024904)
- Alzheimer's Disease Neuroimaging Initiative (W81XWH-12-2–0012, U01AG024904, AG024904, W81XWH-12-2-)
- BioClinica (U01 AG024904, W81XWH-12-2-0012, AG024904)
- Novartis Pharmaceuticals Corporation (W81XWH-12-2-0012, U01 AG024904, AG024904)
- Northern California Institute for Research and Education (U01 AG024904, W81XWH-12-2-0012)
- Eisai (W81XWH-12-2-0012, U01 AG024904, AG024904)
- Servier (AG024904, W81XWH-12-2-0012, U01 AG024904)
- IXICO (AG024904, W81XWH-12-2-0012, U01 AG024904)
- National Institutes of Health (5u01ag024904-10, W81XWH-12-2-0012, U01-AG024904, AG024904)
- Genentech (W81XWH-12-2-0012, AG024904, U01 AG024904)
- University of California, San Diego
- Canadian Institutes of Health Research (U01 AG024904, W81XWH-12-2-0012)
- National Institute on Aging (U01-AG-024904, R21AG055034, P50AG005131, R01AG012674, P50AG005142, K24AG026431)
- 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
- MeSH terms
- Aged, Analysis of Variance, Aniline Compounds, Cerebral Cortex, Ethylene Glycols, False Positive Reactions, Female, Follow-Up Studies, Genotype, Humans, Longitudinal Studies, Male, Cluster Analysis, Amyloid beta-Peptides, Radiopharmaceuticals, Positron-Emission Tomography, Apolipoprotein E4, Cognitive Dysfunction
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
