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Assessment of Demographic, Genetic, and Imaging Variables Associated With Brain Resilience and Cognitive Resilience to Pathological Tau in Patients With Alzheimer Disease
Open accessAbstract
Importance: Better understanding is needed of the degree to which individuals tolerate Alzheimer disease (AD)-like pathological tau with respect to brain structure (brain resilience) and cognition (cognitive resilience). Objective: To examine the demographic (age, sex, and educational level), genetic (APOE-ε4 status), and neuroimaging (white matter hyperintensities and cortical thickness) factors associated with interindividual differences in brain and cognitive resilience to tau positron emission tomography (PET) load and to changes in global cognition over time. Design, Setting, an Participants: In this cross-sectional, longitudinal study, tau PET was performed from June 1, 2014, to November 30, 2017, and global cognition monitored for a mean [SD] interval of 2.0 [1.8] years at 3 dementia centers in South Korea, Sweden, and the United States. The study included amyloid-β-positive participants with mild cognitive impairment or AD dementia. Data analysis was performed from October 26, 2018, to December 11, 2019. Exposures: Standard dementia screening, cognitive testing, brain magnetic resonance imaging, amyloid-β PET and cerebrospinal fluid analysis, and flortaucipir (tau) labeled with fluor-18 (18F) PET. Main Outcomes and Measures: Separate linear regression models were performed between whole cortex [18F]flortaucipir uptake and cortical thickness, and standardized residuals were used to obtain a measure of brain resilience. The same procedure was performed for whole cortex [18F]flortaucipir uptake vs Mini-Mental State Examination (MMSE) as a measure of cognitive resilience. Bivariate and multivariable linear regression models were conducted with age, sex, educational level, APOE-ε4 status, white matter hyperintensity volumes, and cortical thickness as independent variables and brain and cognitive resilience measures as dependent variables. Linear mixed models were performed to examine whether changes in MMSE scores over time differed as a function of a combined brain and cognitive resilience variable. Results: A total of 260 participants (145 [55.8%] female; mean [SD] age, 69.2 [9.5] years; mean [SD] MMSE score, 21.9 [5.5]) were included in the study. In multivariable models, women (standardized β = -0.15, P = .02) and young patients (standardized β = -0.20, P = .006) had greater brain resilience to pathological tau. Higher educational level (standardized β = 0.23, P < .001) and global cortical thickness (standardized β = 0.23, P < .001) were associated with greater cognitive resilience to pathological tau. Linear mixed models indicated a significant interaction of brain resilience × cognitive resilience × time on MMSE (β [SE] = -0.235 [0.111], P = .03), with steepest slopes for individuals with both low brain and cognitive resilience. Conclusions and Relevance: Results of this study suggest that women and young patients with AD have relative preservation of brain structure when exposed to neocortical pathological tau. Interindividual differences in resilience to pathological tau may be important to disease progression because participants with both low brain and cognitive resilience had the most rapid cognitive decline over time.
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“50–60% of Alzheimer’s-type dementia (dementia defined clinically as Alzheimer’s disease) is estimated to be attributable to these copathologies.40,42–45”
From Clinical diagnosis of Alzheimer’s disease: Recommendations of the International Working Group (2021) · cites this paper as [43]
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“Alzheimer’s disease can be associated with other brain pathologies, including α-synucleinopathy,56 vascular pathology, non-Alzheimer’s disease tauopathies, and TDP-43 pathology.40,42–44”
From Clinical diagnosis of Alzheimer’s disease: Recommendations of the International Working Group (2021) · cites this paper as [43]
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von Elm, E., Altman, D. G., Egger, M., Pocock, S. J., Gøtzsche, P. C., Vandenbroucke, J. P., & Initiative, F. T. S. (2007) · PLoS Medicine · doi:10.1371/journal.pmed.0040296 · Cited by 23,020
von Elm, E., Altman, D. G., Egger, M., Pocock, S. J., Gøtzsche, P. C., & Vandenbroucke, J. P. (2007) · The Lancet · doi:10.1016/s0140-6736(07)61602-x · Cited by 21,320
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
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
Cognitive reserve in ageing and Alzheimer's disease
Stern, Y. (2012) · The Lancet Neurology · doi:10.1016/s1474-4422(12)70191-6 · Cited by 3,557
Nelson, P. T., Alafuzoff, I., Bigio, E. H., Bouras, C., Braak, H., Cairns, N. J., Castellani, R. J., Crain, B. J., Davies, P., Tredici, K. D., et al. (2012) · Journal of Neuropathology & Experimental Neurology · doi:10.1097/nen.0b013e31825018f7 · Cited by 2,050 · cited 1×
“Disorder Clinic of Gangnam Severance Hospital, 12 [4] in the BioFINDER study, and 17 [3] in UCSF).”
BackgroundUnderstanding the odd science of aging
Kirkwood, T. B. L. (2005) · Cell · doi:10.1016/j.cell.2005.01.027 · Cited by 1,984
Whitepaper: Defining and investigating cognitive reserve, brain reserve, and brain maintenance
Stern, Y., Arenaza‐Urquijo, E. M., Bartrés‐Faz, D., Belleville, S., Cantilon, M., Chetelat, G., Ewers, M., Franzmeier, N., Kempermann, G., Kremen, W. S., et al. (2020) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2018.07.219 · Cited by 1,703
Distinct patterns of brain activity in young carriers of the APOE -ε4 allele
Filippini, N., MacIntosh, B. J., Hough, M. G., Goodwin, G. M., Frisoni, G. B., Smith, S. M., Matthews, P. M., Beckmann, C. F., & Mackay, C. E. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0811879106 · Cited by 1,613
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
Cited by
Sorted by citations
Clinical diagnosis of Alzheimer’s disease: Recommendations of the International Working Group
Dubois, B., Villain, N., Frisoni, G. B., Rabinovici, G. D., Sabbagh, M., Cappa, S., Bejanin, A., Bombois, S., Epelbaum, S., Teichmann, M., et al. (2021) · The Lancet Neurology · doi:10.1016/s1474-4422(21)00066-1 · Cited by 1,051
Ossenkoppele, R., Smith, R., Mattsson-Carlgren, N., Groot, C., Leuzy, A., Strandberg, O., Palmqvist, S., Olsson, T., Jögi, J., Stormrud, E., et al. (2021) · JAMA Neurology · doi:10.1001/jamaneurol.2021.1858 · Cited by 311
Biomarker modeling of Alzheimer’s disease using PET-based Braak staging
Therriault, J., Pascoal, T. A., Lussier, F. Z., Tissot, C., Chamoun, M., Bezgin, G., Servaes, S., Benedet, A. L., Ashton, N. J., Karikari, T. K., et al. (2022) · Nature Aging · doi:10.1038/s43587-022-00204-0 · Cited by 308
Sex and gender differences in cognitive resilience to aging and Alzheimer's disease
Arenaza‐Urquijo, E. M., Boyle, R., Casaletto, K., Anstey, K. J., Vila‐Castelar, C., Colverson, A., Palpatzis, E., Eissman, J. M., Kheng Siang Ng, T., Raghavan, S., et al. (2024) · Alzheimer's & Dementia · doi:10.1002/alz.13844 · Cited by 223
Biomarker-based staging of Alzheimer disease: rationale and clinical applications
Therriault, J., Schindler, S. E., Salvadó, G., Pascoal, T. A., Benedet, A. L., Ashton, N. J., Karikari, T. K., Apostolova, L. G., Murray, M. E., Verberk, I. M. W., et al. (2024) · Nature Reviews Neurology · doi:10.1038/s41582-024-00942-2 · Cited by 225
Mielke, M. M., Aggarwal, N. T., Vila‐Castelar, C., Agarwal, P., Arenaza‐Urquijo, E. M., Brett, B., Brugulat‐Serrat, A., DuBose, L. E., Eikelboom, W. S., Flatt, J., et al. (2022) · Alzheimer's & Dementia · doi:10.1002/alz.12662 · Cited by 198
A second X chromosome contributes to resilience in a mouse model of Alzheimer’s disease
Davis, E. J., Broestl, L., Abdulai-Saiku, S., Worden, K., Bonham, L. W., Miñones-Moyano, E., Moreno, A. J., Wang, D., Chang, K., Williams, G., et al. (2020) · Science Translational Medicine · doi:10.1126/scitranslmed.aaz5677 · Cited by 176
Self-citationThe accumulation rate of tau aggregates is higher in females and younger amyloid-positive subjects
Smith, R. A., Strandberg, O. T., Mattsson, N., Leuzy, A., Palmqvist, S., Pontecorvo, M. J., Devous, M. D., Ossenkoppele, R., & Hansson, O. (2020) · Brain · doi:10.1093/brain/awaa327 · Cited by 138
Ossenkoppele, R., Reimand, J., Smith, R. A., Leuzy, A., Strandberg, O. T., Palmqvist, S., Stomrud, E., Zetterberg, H., Initiative, T. A. D. N., Scheltens, P., et al. (2021) · EMBO Molecular Medicine · doi:10.15252/emmm.202114398 · Cited by 130
Measuring Resilience and Resistance in Aging and Alzheimer Disease Using Residual Methods
Bocancea, D., van Loenhoud, A. C., Groot, C., Barkhof, F., van der Flier, W. M., & Ossenkoppele, R. (2021) · Neurology · doi:10.1212/wnl.0000000000012499 · Cited by 86
Amyloid, tau and metabolic PET correlates of cognition in early and late-onset Alzheimer’s disease
Tanner, J. A., Iaccarino, L., Edwards, L., Asken, B. M., Gorno‐Tempini, M. L., Kramer, J. H., Pham, J. Q., Perry, D. C., Possin, K. L., Malpetti, M., et al. (2022) · Brain · doi:10.1093/brain/awac229 · Cited by 91
Dubal, D. B. (2020) · Handbook of clinical neurology · doi:10.1016/b978-0-444-64123-6.00018-7 · Cited by 92
Davis, E. J., Solsberg, C. W., White, C. C., Miñones-Moyano, E., Sirota, M., Chibnik, L. B., Bennett, D. A., Jager, P. L. D., Yokoyama, J. S., & Dubal, D. B. (2021) · JAMA Neurology · doi:10.1001/jamaneurol.2021.2806 · Cited by 76
Astrocyte-secreted glypican-4 drives APOE4-dependent tau hyperphosphorylation
Saroja, S. R., Gorbachev, K., Julia, T., Goate, A. M., & Pereira, A. C. (2022) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2108870119 · Cited by 75
Neuroimmune contributions to Alzheimer’s disease: a focus on human data
Haage, V., & De Jager, P. L. (2022) · Molecular Psychiatry · doi:10.1038/s41380-022-01637-0 · Cited by 74
State of the science on brain insulin resistance and cognitive decline due to Alzheimer's disease
Rhea, E. M., Leclerc, M., Yassine, H. N., Capuano, A. W., Tong, H., Petyuk, V. A., Macauley, S. L., Fioramonti, X., Carmichael, O., Calon, F., et al. (2023) · Aging and disease · doi:10.14336/ad.2023.0814 · Cited by 70
Iulita, M. F., Bejanin, A., Vilaplana, E., Carmona-Iragui, M., Benejam, B., Videla, L., Barroeta, I., Fernández, S., Altuna, M., Pegueroles, J., et al. (2023) · Brain Communications · doi:10.1093/braincomms/fcad074 · Cited by 68
Translational approaches to understanding resilience to Alzheimer’s disease
Neuner, S. M., Telpoukhovskaia, M., Menon, V., O’Connell, K. M. S., Hohman, T. J., & Kaczorowski, C. C. (2022) · Trends in Neurosciences · doi:10.1016/j.tins.2022.02.005 · Cited by 68
“Cortical thickness Aβ-positive individuals with MCI or dementia; residual metrics used to define resilience Increased thickness associated with cognitive resilience to tau pathology [15]”
BackgroundSex differences in longitudinal tau-PET in preclinical Alzheimer disease: a meta-analysis
Coughlan, G. T., Klinger, H. M., Boyle, R., Betthauser, T. J., Binette, A. P., Christenson, L., Chadwick, T., Hansson, O., Harrison, T. M., Healy, B., et al. (2025) · JAMA Neurology · doi:10.1001/jamaneurol.2025.0013 · Cited by 69
Groot, C., Smith, R. A., Collij, L. E., Mastenbroek, S. E., Stomrud, E., Binette, A. P., Leuzy, A., Palmqvist, S., Mattsson, N., Strandberg, O. T., et al. (2024) · JAMA Neurology · doi:10.1001/jamaneurol.2024.1612 · Cited by 68
The complex pathway between amyloid β and cognition: implications for therapy
Jagust, W. J., Teunissen, C. E., & DeCarli, C. S. (2023) · The Lancet Neurology · doi:10.1016/s1474-4422(23)00128-x · Cited by 67
Edwards, L., Joie, R. L., Iaccarino, L., Strom, A., Baker, S. L., Casaletto, K. B., Cobigo, Y., Grant, H. E., Kim, M., Kramer, J. H., et al. (2021) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2021.04.003 · Cited by 65
Towards clinical application of tau PET tracers for diagnosing dementia due to Alzheimer's disease
Ossenkoppele, R., & Hansson, O. (2021) · Alzheimer's & Dementia · doi:10.1002/alz.12356 · Cited by 62
Walker, J. M., Kazempour Dehkordi, S., Fracassi, A., Vanschoiack, A., Pavenko, A., Taglialatela, G., Woltjer, R., Richardson, T. E., Zare, H., & Orr, M. E. (2022) · Acta Neuropathologica Communications · doi:10.1186/s40478-022-01324-9 · Cited by 59
Determinants of cognitive and brain resilience to tau pathology: a longitudinal analysis
Bocancea, D. I., Svenningsson, A. L., van Loenhoud, A. C., Groot, C., Barkhof, F., Strandberg, O. T., Smith, R. A., Initiative, A. D. N., Weiner, M. W., Aisen, P., et al. (2023) · Brain · doi:10.1093/brain/awad100 · Cited by 59
Tanaka, M., & Vécsei, L. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23136991 · Cited by 57
Boccalini, C., Peretti, D. E., Scheffler, M., Mu, L., Griffa, A., Dardel, N. T., Allali, G., Prior, J. O., Ashton, N. J., Zetterberg, H., et al. (2025) · Alzheimer s Research & Therapy · doi:10.1186/s13195-025-01684-z · Cited by 55
The impact of demographic, clinical, genetic, and imaging variables on tau PET status
Ossenkoppele, R., Leuzy, A., Cho, H., Sudre, C. H., Strandberg, O. T., Smith, R. A., Palmqvist, S., Mattsson, N., Olsson, T., Jögi, J., et al. (2020) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-020-05099-w · Cited by 53
Tosun, D., Demir, Z., Veitch, D. P., Weintraub, D. A., Aisen, P. S. S., Jack, C. R., Jagust, W., Petersen, R. C., Saykin, A. J., Shaw, L. M. J., et al. (2021) · Alzheimer s & Dementia · doi:10.1002/alz.12480 · Cited by 46
Tang, A. S., Oskotsky, T., Havaldar, S., Mantyh, W. G., Bicak, M., Solsberg, C. W., Woldemariam, S., Zeng, B., Hu, Z., Oskotsky, B., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-28273-0 · Cited by 45
Malpetti, M., Joie, R. L., & Rabinovici, G. D. (2022) · Journal of Nuclear Medicine · doi:10.2967/jnumed.121.263694 · Cited by 45
Wolters, E. E., Dodich, A., Boccardi, M., Corre, J., Drzezga, A. E., Hansson, O., Nordberg, A. K., Frisoni, G. B., Garibotto, V., & Ossenkoppele, R. (2021) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-020-05118-w · Cited by 48
Fan, X., Shen, W., Wang, L., & Zhang, Y. (2022) · Frontiers in Pharmacology · doi:10.3389/fphar.2021.810297 · Cited by 45
Tau‐Atrophy Variability Reveals Phenotypic Heterogeneity in Alzheimer's Disease
Das, S. R., Lyu, X., Duong, M. T., Xie, L., McCollum, L., de Florès, R., DiCalogero, M., Irwin, D. J., Dickerson, B. C., Nasrallah, I. M., et al. (2021) · Annals of Neurology · doi:10.1002/ana.26233 · Cited by 41
Downstream effects of polypathology on neurodegeneration of medial temporal lobe subregions
Wisse, L. E. M., Ravikumar, S., Ittyerah, R., Lim, S., Lane, J., Bedard, M. L., Xie, L., Das, S. R., Schuck, T., Grossman, M., et al. (2021) · Acta Neuropathologica Communications · doi:10.1186/s40478-021-01225-3 · Cited by 43
Initiative, A. D. N., Ramanan, V. K., Lesnick, T. G., Przybelski, S. A., Heckman, M. G., Knopman, D. S., Graff‐Radford, J., Lowe, V. J., Machulda, M. M., Mielke, M. M., et al. (2021) · Acta Neuropathologica Communications · doi:10.1186/s40478-021-01154-1 · Cited by 40
Factors associated with cognitive reserve according to education level
Kim, Y., Stern, Y., Seo, S. W., Na, D. L., Jang, J., & Jang, H. (2024) · Alzheimer s & Dementia · doi:10.1002/alz.14236 · Cited by 48
A Call to Action to Address Sex Differences in Alzheimer Disease Clinical Trials
Buckley, R. F., Gong, J., & Woodward, M. (2023) · JAMA Neurology · doi:10.1001/jamaneurol.2023.1059 · Cited by 38
Assessing mild cognitive impairment using object‐location memory in immersive virtual environments
Castegnaro, A., Howett, D., Li, A., Harding, E. M., Chan, D., Burgess, N., & King, J. A. (2022) · Hippocampus · doi:10.1002/hipo.23458 · Cited by 37
New horizons in the diagnosis and management of Alzheimer’s Disease in older adults
Dolphin, H., Dyer, A. H., Morrison, L., Shenkin, S. D., Welsh, T. J., & Kennelly, S. (2024) · Age and Ageing · doi:10.1093/ageing/afae005 · Cited by 33
Tanner, J. A., & Rabinovici, G. D. (2020) · Journal of Nuclear Medicine · doi:10.2967/jnumed.120.257824 · Cited by 35
Evaluation of [ 18 F]-JNJ-64326067-AAA tau PET tracer in humans
Baker, S. L., Provost, K., Thomas, W., Whitman, A., Janabi, M., Schmidt, M. E., Timmers, M., Kolb, H. C., Rabinovici, G. D., & Jagust, W. J. (2021) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1177/0271678x211031035 · Cited by 33
Royse, S. K., Cohen, A. D., Snitz, B. E., & Rosano, C. (2021) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2021.685957 · Cited by 31
Sex differences in Alzheimer's disease: do differences in tau explain the verbal memory gap?
Banks, S. J., Andrews, M., Digma, L. A., Madsen, J. R., Reas, E. T., Caldwell, J., McEvoy, L. K., Fan, C. C., Dale, A. M., & Brewer, J. B. (2021) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2021.05.013 · Cited by 31
Liu, J., van Beusekom, H. M. M., Bu, X., Chen, G., Rosado-de-Castro, P. H., Chen, X., Chen, X., Clarkson, A. N., Farr, T. D., Fu, Y., et al. (2023) · Neuroprotection/Neuroprotection (Chichester, England. Print) · doi:10.1002/nep3.23 · Cited by 31
Ourry, V., Binette, A. P., St‐Onge, F., Strikwerda‐Brown, C., Chagnot, A., Poirier, J., Breitner, J. C. S., Arenaza‐Urquijo, E. M., Rabin, J. S., Buckley, R. F., et al. (2023) · Biological Psychiatry · doi:10.1016/j.biopsych.2023.09.003 · Cited by 28
Burnham, S. C., Iaccarino, L., Pontecorvo, M. J., Fleisher, A., Lu, M., Collins, E. C., & Devous, M. D. (2023) · Brain Communications · doi:10.1093/braincomms/fcad305 · Cited by 30
Jansen, M. G., Geerligs, L., Claassen, J. A. H. R., Overdorp, E. J., Brazil, I. A., Kessels, R. P. C., & Oosterman, J. M. (2021) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2021.723728 · Cited by 28
Age-, sex-, and pathology-related variability in brain structure and cognition
Bachmann, D., Buchmann, A., Studer, S. T., Saake, A., Rauen, K., Zuber, I., Gruber, E., Nitsch, R. M., Höck, C., Gietl, A. F., et al. (2023) · Translational Psychiatry · doi:10.1038/s41398-023-02572-6 · Cited by 32
Sex and Sleep Disruption as Contributing Factors in Alzheimer’s Disease
Johnson, C. E., Duncan, M. J., & Murphy, M. P. (2023) · Journal of Alzheimer s Disease · doi:10.3233/jad-230527 · Cited by 35
Elevated Dopamine Synthesis as a Mechanism of Cognitive Resilience in Aging
Ciampa, C. J., Parent, J. H., LaPoint, M. R., Swinnerton, K. N., Taylor, M. M., Tennant, V. R., Whitman, A., Jagust, W. J., & Berry, A. S. (2021) · Cerebral Cortex · doi:10.1093/cercor/bhab379 · Cited by 27
Role of the X Chromosome in Alzheimer Disease Genetics
Belloy, M. E., Guen, Y. L., Stewart, I., Williams, K., Herz, J., Sherva, R., Zhang, R., Merritt, V. C., Panizzon, M. S., Hauger, R. L., et al. (2024) · JAMA Neurology · doi:10.1001/jamaneurol.2024.2843 · Cited by 36
Predicting functional decline in aging and Alzheimer’s disease with PET-based Braak staging
Macedo, A. C., Therriault, J., Tissot, C., Arias, J. F., Ferreira, P. C. L., Vitali, P., Servaes, S., Rahmouni, N., Vermeiren, M. R., Bezgin, G., et al. (2024) · Brain Communications · doi:10.1093/braincomms/fcae043 · Cited by 24
Cognitive resilience and severe Alzheimer’s disease neuropathology
Ahangari, N., Fischer, C. E., Schweizer, T. A., & Muñoz, D. G. (2023) · Aging Brain · doi:10.1016/j.nbas.2023.100065 · Cited by 23
Lyu, X., Duong, M. T., Xie, L., de Florès, R., Richardson, H., Hwang, G., Wisse, L. E. M., DiCalogero, M., McMillan, C. T., Robinson, J. L., et al. (2023) · Alzheimer s & Dementia · doi:10.1002/alz.13559 · Cited by 22
Caldwell, J., Kinney, J. W., Ritter, A. R., Salazar, A., Wong, C. G., Cordes, D., & Slavich, G. M. (2020) · Brain Behavior and Immunity · doi:10.1016/j.bbi.2020.12.001 · Cited by 23
Vila‐Castelar, C., Guzmán‐Vélez, E., Pardilla‐Delgado, E., Buckley, R. F., Bocanegra, Y., Baena, A. Y., Fox‐Fuller, J. T., Tirado, V., Muñoz, C., Giraldo, M., et al. (2020) · Journal of Alzheimer s Disease · doi:10.3233/jad-200723 · Cited by 20
Quantifying longitudinal cognitive resilience to Alzheimer's disease and other neuropathologies
Wagner, M., Wilson, R. S., Leurgans, S. E., Boyle, P. A., Bennett, D. A., Grodstein, F., & Capuano, A. W. (2022) · Alzheimer s & Dementia · doi:10.1002/alz.12576 · Cited by 18
Sex-specific transcriptional rewiring in the brain of Alzheimer’s disease patients
Santiago, J. A., Quinn, J. P., & Potashkin, J. A. (2022) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2022.1009368 · Cited by 16
Dobyns, L., Zhuang, K., Baker, S. L., Mungas, D., Jagust, W. J., & Harrison, T. M. (2023) · Nature Aging · doi:10.1038/s43587-022-00353-2 · Cited by 16
Sex Differences in Mortality and Health Care Utilization After Dementia Diagnosis
Lusk, J. B., Ford, C. B., Soneji, S. S., Blass, B., Rosa, T. D., Kaufman, B. G., Mantri, S., Fan, L., Grory, B. M., Xian, Y., et al. (2025) · JAMA Neurology · doi:10.1001/jamaneurol.2025.2236 · Cited by 15
Axonal degeneration and amyloid pathology predict cognitive decline beyond cortical atrophy
Svenningsson, A. L., Stomrud, E., Palmqvist, S., Hansson, O., & Ossenkoppele, R. (2022) · Alzheimer s Research & Therapy · doi:10.1186/s13195-022-01081-w · Cited by 14
Rani, N., Alm, K. H., Corona-Long, C. A., Speck, C. L., Soldan, A., Pettigrew, C. A., Zhu, Y., Albert, M., & Bakker, A. (2023) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2023.1272946 · Cited by 13
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Xu, X., Wang, H., Bennett, D. A. A., Zhang, Q., Meng, X., & Zhang, H. (2023) · Journal of Advanced Research · doi:10.1016/j.jare.2023.03.002 · Cited by 11
Ourry, V., Rehel, S., André, C., Mary, A., Paly, L., Delarue, M., Requier, F., Hendy, A. S., Collette, F., Marchant, N. L., et al. (2023) · Aging · doi:10.18632/aging.204943 · Cited by 12
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Montine, K. S., Berson, E., Phongpreecha, T., Huang, Z., Aghaeepour, N., Zou, J., MacCoss, M. J., & Montine, T. J. (2023) · Frontiers in Neuroscience · doi:10.3389/fnins.2023.1311157 · Cited by 14
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Beatino, M. F., Luca, C. D., Campese, N., Belli, E., Piccarducci, R., Giampietri, L., Martini, C., Perugi, G., Siciliano, G., Ceravolo, R., et al. (2022) · Expert Review of Molecular Diagnostics · doi:10.1080/14737159.2022.2068952 · Cited by 11
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Svenningsson, A. L., Bocancea, D. I., Stomrud, E., van Loenhoud, A. C., Barkhof, F., Mattsson, N., Palmqvist, S., Hansson, O., & Ossenkoppele, R. (2024) · Alzheimer s Research & Therapy · doi:10.1186/s13195-024-01591-9 · Cited by 12
Sharma, H. S., Muresanu, D. F., Nozari, A., Lafuente, J. V., Buzoianu, A. D., Sahib, S., Tian, Z. R., Bryukhovetskiy, I., Manzhulo, I., Menon, P. K., et al. (2021) · Progress in brain research · doi:10.1016/bs.pbr.2021.04.008 · Cited by 11
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Pradhan, L. K., Sahoo, P. K., Chauhan, S., & Das, S. K. (2022) · Journal of Molecular Neuroscience · doi:10.1007/s12031-022-02009-7 · Cited by 11
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Szczupak, D., Brinson, L. L., & Kolarcik, C. L. (2025) · American Journal Of Pathology · doi:10.1016/j.ajpath.2024.12.014 · Cited by 10
Malpetti, M., Rathore, S., Iaccarino, L., Joie, R. L., Tronchin, G., Wessels, A. M., Sims, J. R., Pontecorvo, M. J., Shcherbinin, S., & Rabinovici, G. D. (2025) · Alzheimer s Research & Therapy · doi:10.1186/s13195-025-01868-7 · Cited by 10
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Hoenig, M. C., & Drzezga, A. E. (2022) · Journal of Neurochemistry · doi:10.1111/jnc.15598 · Cited by 9
Zhang, H., Hao, M., Li, Y., Hu, Z., Liu, Z., Jiang, S., Li, J., & Wang, X. (2023) · Innovation in Aging · doi:10.1093/geroni/igad118 · Cited by 9
A novel approach to resilience and its links with education and Alzheimer's disease genetics
Carrigan, M., Bocancea, D. I., Vogel, J. W., van Loenhoud, A. C., Tesi, N., Barkhof, F., Lucassen, P. J., van der Flier, W. M., Krugers, H. J., van der Lee, S. J., et al. (2025) · Alzheimer s & Dementia · doi:10.1002/alz.70379 · Cited by 9
Rates of clinical progression according to biological Alzheimer's disease stages
Trudel, L., Therriault, J., Macedo, A. C., Servaes, S., Hosseini, S. A., Bezgin, G., Rahmouni, N., Chan, T., Arias, J. F., Aumont, É., et al. (2025) · Alzheimer s & Dementia · doi:10.1002/alz.70624 · Cited by 9
Raya, M. A., Suemoto, C. K., Paes, V. R., Leite, R. E. P., Pasqualucci, C. A., Naslavsky, M. S., Rodriguez, R. D., Nitríni, R., Ferriolli, E., Allen, I. E., et al. (2026) · JAMA Neurology · doi:10.1001/jamaneurol.2026.0054 · Cited by 10
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Ourry, V., Fajardo-Valdez, A., Soucy, J., Poirier, J., Breitner, J. C. S., & Villeneuve, S. (2025) · Neurology · doi:10.1212/wnl.0000000000213507 · Cited by 8
Busatto, G. F., Porto, F. H. G., Faria, D. D. P., Squarzoni, P., Coutinho, A. M., Garcez, A. T., Rosa, P. G. P., da Costa, N. A., Carvalho, C. L., Torralbo, L., et al. (2020) · Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring · doi:10.1002/dad2.12122 · Cited by 7
Frigerio, I., Broeders, T. A. A., Lin, C., Bouwman, M. M. A., Koubiyr, I., Barkhof, F., Berendse, H. W., van de Berg, W. D. J., Douw, L., & Jonkman, L. E. (2024) · Neurology · doi:10.1212/wnl.0000000000209678 · Cited by 7
Resilience in Alzheimer's disease: Impact of operationalization and methodological choices
Mutel, S., Quattrocchi, L., Altomare, D., Chicherio, C., Scheffler, M., Lövblad, K., Blennow, K., Ashton, N. J., Zetterberg, H., Abramowicz, M. J., et al. (2025) · Alzheimer s & Dementia · doi:10.1002/alz.70185 · Cited by 6
Rauchmann, B., Ersözlü, E., Luedecke, D., Franzmeier, N., & Perneczky, R. (2025) · Scientific Reports · doi:10.1038/s41598-025-98338-9 · Cited by 8
Lee, Y., Kang, S. W., Lee, S., Jeon, S., Ye, B. S., Yun, M., & Initiative, T. A. D. N. (2025) · Journal of Clinical Neurology · doi:10.3988/jcn.2025.0218 · Cited by 6
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Akinci, M., Aziz, F., Palta, P., Guzman, D., Cheung, L., Teresi, J. A., Brickman, A. M., Lao, P. J., & Luchsinger, J. A. (2026) · JAMA Network Open · doi:10.1001/jamanetworkopen.2025.54524 · Cited by 6
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Effects of educational attainment on comorbidity of pain and depression in Chinese older adults
Zhu, H., Xiao, Y., Xie, T., Yang, M., Zhou, X. C., Xiao, B., Peng, J., & Yang, J. Y. (2024) · Heliyon · doi:10.1016/j.heliyon.2024.e37595 · Cited by 8
Bi, X.-A., Shen, W., Shan, Y., Chen, D., Xu, L., Chen, K., & Liu, Z. (2025) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2025.3545101 · Cited by 7
Lin, L., Sun, Y., Wang, X., Su, L., Wang, X.-N., & Han, Y. (2021) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2021.610755 · Cited by 6
Ali, M., Garcia, P., Lunkes, L. P., Sciortino, A., Thomas, M. H., Heurtaux, T., Grzyb, K., Halder, R., Skupin, A., Buée, L., et al. (2025) · Acta Neuropathologica Communications · doi:10.1186/s40478-025-02013-z · Cited by 6
Yang, Z. X., Sheng, J., Zhang, Q., Zhao, X., Song, Y., Dong, G., Zhang, R., Zhao, H., Wang, J., Pan, R., et al. (2025) · Journal of Integrative Neuroscience · doi:10.31083/jin26584 · Cited by 7
Manouvriez, D., Kuchcinski, G., Roca, V., Sillaire, A. R., Bertoux, M., Delbeuck, X., Pruvo, J., Lecerf, S., Pasquier, F., Lebouvier, T., et al. (2025) · Journal of Neuroradiology · doi:10.1016/j.neurad.2025.101365 · Cited by 5
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Wu, Y., Travaglini, K. J., Gabitto, M. I., Keene, C. D., Dunn, A. R., Kaczorowski, C. C., Jager, P. L. D., Menon, V., Schneider, J. A., Bennett, D. A. A., et al. (2025) · Alzheimer s & Dementia · doi:10.1002/alz.71041 · Cited by 8
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Massoumzadeh, P., Tiemann, S. J., Naghashzadeh, M., Rizzo, J., Hu, J. Y., Yaeger, L., Alkelani, H., Wang, Q., Chen, G., Dolatshahi, M., et al. (2026) · British Journal of Radiology · doi:10.1093/bjr/tqag011 · Cited by 7
Li, L., Ni, L., Wang, X., & Sheng, C. (2022) · Neuroscience · doi:10.1016/j.neuroscience.2022.09.017 · Cited by 5
Birkenbihl, C., Cuppels, M., Boyle, R., Klinger, H., Langford, O., Coughlan, G., Properzi, M., Chhatwal, J., Price, J. C., Schultz, A., et al. (2025) · Brain Informatics · doi:10.1186/s40708-024-00249-4 · Cited by 4
CCCDTD5: research diagnostic criteria for Alzheimer's Disease
Gauthier, S. G., Chertkow, H. M., Theriault, J., Chayer, C., Ménard, M., Lacombe, G., Rosa‐Neto, P., & Ismail, Z. (2020) · Alzheimer s & Dementia Translational Research & Clinical Interventions · doi:10.1002/trc2.12036 · Cited by 5
Acrolein-Induced Alterations in Morphology and Stress Resilience in hiPSC-Derived Cortical Neurons
Xie, J., Wu, S., Zhao, X., Tukker, A. M., Zhao, H., Min, S.-H., Sánchez, O. F., Rochet, J., Bowman, A. B., Shi, R., et al. (2025) · Environmental Science & Technology · doi:10.1021/acs.est.5c06893 · Cited by 4
Therriault, J., Gauthier, S. G., & Rosa‐Neto, P. (2023) · The Journal of Prevention of Alzheimer s Disease · doi:10.14283/jpad.2023.52 · Cited by 4
Metadata
- Authors
- Ossenkoppele, R., Lyoo, C. H., Jester-Broms, J., Sudre, C. H., Cho, H., Ryu, Y. H., Choi, J. Y., Smith, R., Strandberg, O., Palmqvist, S., Kramer, J., Boxer, A. L., Gorno-Tempini, M. L., Miller, B. L., La Joie, R., Rabinovici, G. D., & Hansson, O.
- Affiliations
- Lund University (SE)
- Yonsei University (KR)
- King's College London (GB)
- UCL Queen Square Institute of Neurology (GB)
- University of California, San Francisco (US)
- Memory and Aging Center, Department of Neurology, University of California, San Francisco
- Lawrence Berkeley National Laboratory (US)
- Corresponding author
- Ossenkoppele, Rik
- Hansson, Oskar
- ORCID
- Venue
- JAMA Neurology
- Publisher
- American Medical Association (AMA)
- Published
- 2020-05-01
- Volume
- 77
- Issue
- 5
- Pages
- 632
- ISSN
- 2168-6149 (ISSN-L)
- PMC
- PMC7042808
- OpenAlex
- W3007734058
- Cited by
- 161
- References
- 63
- Citations by year
- 2026: 34 · 2025: 28 · 2024: 18 · 2023: 20 · 2022: 28 · 2021: 21 · 2020: 12
- FWCI
- 14.77
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- cc-by
- Locations
- JAMA Neurology (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Amsterdam UMC (VU Amsterdam) - Institutional Repository (publishedVersion, other-oa)
- Pure Amsterdam UMC (acceptedVersion, cc-by)
- OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (submittedVersion)
- UCL Discovery (University College London) (submittedVersion)
- eScholarship (California Digital Library) (submittedVersion, cc-by)
- YUHSpace (Yonsei University Medical Library) (submittedVersion, cc-by-nc-nd)
- Lund University Publications (Lund University) (submittedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
- Funders
- Alzheimer's Association (AARF-16-443577)
- Korea Health Industry Development Institute
- National Research Foundation of Korea
- Knut och Alice Wallenbergs Stiftelse
- Vetenskapsrådet
- Marcus och Amalia Wallenbergs minnesfond
- National Institute on Aging (R01AG045611, R01AG038791, U01AG052943, P01AG019724, P30AG062422, P50AG023501)
- National Institute on Deafness and Other Communication Disorders (K24DC015544)
- National Institute of Neurological Disorders and Stroke (R01NS100440, R56NS050915, U54NS092089, R01NS050915)
- 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 › Oncology › Cancer-related cognitive impairment studies
- Keywords
- brain resilience, cognitive resilience, Alzheimer's disease, pathological tau, tau PET, flortaucipir, APOE ε4, white matter hyperintensities, cortical thickness, amyloid-beta, mild cognitive impairment, dementia, sex differences, interindividual variability, cognitive decline, genetic risk factors, neuroimaging biomarkers, longitudinal cognitive change
- MeSH terms
- Positron Emission Tomography Computed Tomography, Age Factors, Aged, Alzheimer Disease, Brain, Cognition, Cross-Sectional Studies, Female, Humans, Image Interpretation, Computer-Assisted, Longitudinal Studies, Magnetic Resonance Imaging, Male, Risk Factors, Sex Characteristics, tau Proteins, Disease Progression, Cognitive Reserve, Neuroimaging
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