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Influence of tau PET, amyloid PET, and hippocampal volume on cognition in Alzheimer disease
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OBJECTIVE: To examine the independent and interactive influences of neuroimaging biomarkers on retrospective cognitive decline. METHODS: F-AV-45) amyloid PET scan, and a structural MRI scan were recruited from the Knight Alzheimer Disease Research Center at Washington University in St. Louis. Cognition was assessed with standard measures reflecting episodic memory, executive functioning, semantic fluency, and processing speed. RESULTS: Results from retrospective longitudinal analyses showed that each biomarker had a univariate association with the global cognitive composite; however, when each marker was analyzed in a single statistical model, only tau was a significant predictor of global cognitive decline. There was an interaction between tau and amyloid such that tau-related cognitive decline was worse in individuals with high amyloid. There was also an interaction with hippocampal volume indicating that individuals with high levels of all 3 pathologies exhibited the greatest declines in cognition. Additional analyses within each cognitive domain indicated that tau had the largest negative influence on tests of episodic memory and executive functioning. CONCLUSIONS: Together, these results suggest that increasing levels of tau most consistently relate to declines in cognition preceding biomarker collection. These findings support models of Alzheimer disease (AD) staging that suggest that elevated β-amyloid alone may be insufficient to produce cognitive change in individuals at risk for AD and support the use of multiple biomarkers to stage AD progression.
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“In contrast, cross-sectional and longitudinal human cohort studies of biomarkers support a scenario in which amyloid pathology (Aβ42 lowering in CSF, positive amyloid PET imaging) precedes tau pathology (tau-PET and phospho-Tau elevation in CSF) and then neurodegeneration 126-128 .”
From The amyloid hypothesis in Alzheimer disease: new insights from new therapeutics (2022) · cites this paper as [128]
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Cites
Fitting Linear Mixed-Effects Models Using lme4
Bates, D., Mächler, M., Bolker, B., & Walker, S. (2015) · Journal of Statistical Software · doi:10.18637/jss.v067.i01 · Cited by 86,835
The Clinical Dementia Rating (CDR): Current version and scoring rules
Morris, J. C. (1993) · Neurology · doi:10.1212/wnl.43.11.2412-a · Cited by 9,882
Self-citationJack, C. R., Knopman, D. S., Jagust, W. J., Petersen, R. C., Weiner, M. W., Aisen, P. S., Shaw, L. M., Vemuri, P., Wiste, H. J., Weigand, S. D., et al. (2013) · The Lancet Neurology · doi:10.1016/s1474-4422(12)70291-0 · Cited by 4,396
Clinical and biomarker changes in dominantly inherited Alzheimer's disease
Bateman, R. J., Xiong, C., Benzinger, T. L. S., Fagan, A. M., Goate, A., Fox, N. C., Marcus, D. S., Cairns, N. J., Xie, X., Blazey, T. M., et al. (2012) · New England Journal of Medicine · doi:10.1056/nejmoa1202753 · Cited by 3,814
Self-citationA/T/N: An unbiased descriptive classification scheme for Alzheimer disease biomarkers
Jack, C. R., Bennett, D. A., Blennow, K., Carrillo, M. C., Feldman, H. H., Frisoni, G. B., Hampel, H., Jagust, W. J., Johnson, K. A., Knopman, D. S., et al. (2016) · Neurology · doi:10.1212/wnl.0000000000002923 · Cited by 1,864
Buckner, R. L., Head, D. M., Parker, J. B., Fotenos, A. F., Marcus, D. S., Morris, J. C., & Snyder, A. Z. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.06.018 · Cited by 1,325
Self-citationPET Imaging of Tau Deposition in the Aging Human Brain
Schöll, M., Lockhart, S. N., Schonhaut, D. R., O’Neil, J. P., Janabi, M., Ossenkoppele, R., Baker, S. L., Vogel, J. W., Faria, J., Schwimmer, H. D., et al. (2016) · Neuron · doi:10.1016/j.neuron.2016.01.028 · Cited by 1,214
Screening for dementia by memory testing
Grober, E. H., Herman Buschke, L., Crystal, H., Bang, S., & Dresner, R. (1988) · Neurology · doi:10.1212/wnl.38.6.900 · Cited by 956
Correction for partial volume effects in PET: principle and validation.
ROUSSET, O. G., Ma, Y., & Evans, A. C. (1998) · PubMed · Cited by 919
Tau and Aβ imaging, CSF measures, and cognition in Alzheimer’s disease
Brier, M. R., Gordon, B., Friedrichsen, K., McCarthy, J., Stern, A., Christensen, J., Owen, C., Aldea, P., Su, Y., Hassenstab, J., et al. (2016) · Science Translational Medicine · doi:10.1126/scitranslmed.aaf2362 · Cited by 734
Self-citation
Research works printed but not linked: 1
- Goodglass H, Kaplan E. Boston Diagnostic Aphasia Examination Booklet, III: Oral Expression: Animal Naming (Fluency in Controlled Association). Philadelphia: Lea & Febiger; 1983.
Cited by
Sorted by citations
Items 201–291 of 291
Peay, D. N., Acuña, A. M., Reynolds, C. M., Willis, C., Takalkar, R., Ortiz, J. B., & Conrad, C. D. (2023) · Neuroscience Letters · doi:10.1016/j.neulet.2023.137403 · Cited by 5
Chen, L., Carr, D. B., Singh, R. K., Bekena, S., Zhu, Y., Taylor, K., Trani, J., & Babulal, G. M. (2025) · Neurology · doi:10.1212/wnl.0000000000214440 · Cited by 4
Tristão‐Pereira, C., Langella, S., Baena, A. Y., Londono, N., Sanchez, J. S., Martinez, L., Álvarez, S., Vidal, M., Aguillon, D. F., Su, Y., et al. (2025) · Brain Communications · doi:10.1093/braincomms/fcaf508 · Cited by 5
Tau Pathology in Alzheimer's Disease Uniquely Affects Sulcal Depths
Maboudian, S. A., Fonseca, C. S., Martersteck, A., Chao, Y., Chen, Y., Ushizima, D. M., Tosun, D., Grinberg, L. T., Weiner, K. S., Jagust, W. J., et al. (2026) · Annals of Neurology · doi:10.1002/ana.78166 · Cited by 4
Liu, M., Chang, H., Huang, S., Huang, C., Hsu, S., Lin, K., Ho, T., Huang, K., Cheng, C., & Chang, C. (2025) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2025.111343 · Cited by 4
Chen, G., McKay, N. S., Gordon, B. A., Joseph‐Mathurin, N., Liu, J., Schindler, S. E., Hassenstab, J. J., Doering, S., Aschenbrenner, A. J., Wang, Q., et al. (2025) · Journal of Alzheimer s Disease · doi:10.1177/13872877251352202 · Cited by 4
Self-citationWeinstein, A. M., Fang, F., Chang, C. H., Cohen, A. D., Lopresti, B. J., Laymon, C. M., Nadkarni, N. K., Aizenstein, H. J., Villemagne, V. L., Kamboh, M. I., et al. (2024) · Journal of Alzheimer s Disease · doi:10.1177/13872877241303926 · Cited by 4
Predicting Risk for Dementia: Is It Ready for the Clinic?
Johnson, S. C., & Asthana, S. (2019) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2019.19050520 · Cited by 4
Hanford, L. C., Jacoby, J. R., Salat, D. H., Arnold, S. E., & Eshghi, M. (2025) · Human Brain Mapping · doi:10.1002/hbm.70288 · Cited by 3
Alzheimer's disease neuropathology and longitudinal change in subjective cognitive complaints
Bannerjee, A., Elkins, W., Resnick, S. M., & Bilgel, M. (2025) · Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring · doi:10.1002/dad2.70176 · Cited by 3
He, H., Razlighi, Q. R., Gazes, Y., Habeck, C. G., Stern, Y., Initiative, A. D. N., Weiner, M. W., Aisen, P. S. S., Petersen, R. C., Jack, C. R., et al. (2025) · Communications Medicine · doi:10.1038/s43856-025-01170-5 · Cited by 5
Parhizi, B., Kolady, R., Vogel, M. T., Singh, R. K., Bekena, S., Chokkalingam, R., Zhu, Y., & Babulal, G. M. (2025) · Journal of Alzheimer s Disease Reports · doi:10.1177/25424823251407543 · Cited by 3
Pathological Roles of INPP5D in Alzheimer’s Disease
Chu, Y. N., Akahori, A., Takatori, S., & Tomita, T. (2023) · Advances in experimental medicine and biology · doi:10.1007/978-3-031-31978-5_30 · Cited by 3
Cognitive variation reflects amyloid, tau, and neurodegenerative biomarkers in Alzheimer’s disease
Phang, S. K. A., Tan, C. H., & Initiative, A. D. N. (2025) · GeroScience · doi:10.1007/s11357-025-01541-9 · Cited by 6
Stojanovic, M., Millar, P. R., McKay, N. S., Aschenbrenner, A. J., Balota, D. A., Hassenstab, J. J., Benzinger, T. L. S., Morris, J. C., & Ances, B. M. (2025) · Journal of Alzheimer s Disease · doi:10.1177/13872877251316801 · Cited by 3
Self-citationBehaviorally meaningful functional networks mediate the effect of Alzheimer’s pathology on cognition
Ziontz, J., Harrison, T. M., Chen, X., Giorgio, J., Adams, J. N., Wang, Z., Jagust, W. J., & Initiative, A. D. N. (2024) · Cerebral Cortex · doi:10.1093/cercor/bhae134 · Cited by 3
Chen, Y., Wang, Z., Liu, X., Xu, J., & Mao, Z. (2024) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2024.1301854 · Cited by 4
Feleke, R., Jogaudaite, S., Velentza‐Almpani, E., Yeung-Yeung, L., Clode, D., Ko, J. H., Shin, B., Matthews, S., Otero‐Jimenez, M., Wojewska, M. J., et al. (2025) · Acta Neuropathologica · doi:10.1007/s00401-025-02869-4 · Cited by 4
Sun, N., Mormino, E. C., Chen, J., Sabuncu, M. R., Yeo, B. T. T., & Initiative, A. D. N. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/462143 · Cited by 3
Neitzel, J., Franzmeier, N., Rubinski, A., Dichgans, M., Brendel, M., Malik, R., Ewers, M., & Initiative, A. D. N. (2020) · medRxiv · doi:10.1101/2020.07.29.20164434 · Cited by 3
White matter hyperintensities may be an early marker for age-related cognitive declinePreprint
Morrison, C., Dadar, M., Villeneuve, S., Collins, D. L., & Initiative, A. D. N. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.09.23.461560 · Cited by 3
Li, S., Roy, E. R., Wang, Y., Watkins, T. A., & Cao, W. (2023) · Research Square · doi:10.21203/rs.3.rs-2617457/v1 · Cited by 3
In-Vivo Evidence for Increased Tau Deposition in Temporal Lobe EpilepsyPreprint
Rodríguez‐Cruces, R., Lam, J., Arafat, T., Royer, J., Chen, J., Sahlas, E., Dascal, A., Mendelson, D., Pana, R., Hopewell, R., et al. (2025) · Research Square · doi:10.1101/2025.05.14.654095 · Cited by 3
Tristão‐Pereira, C., Casquero‐Veiga, M., Malotaux, V., & Quiroz, Y. T. (2026) · Journal of Alzheimer s Disease · doi:10.1177/13872877261452181 · Cited by 3
Paulsen, A. J., Driscoll, I. F., Breidenbach, B. M., Glittenberg, M., Lose, S. R., Ma, Y., Sager, M. A., Carlsson, C. M., Gallagher, C. L., Hermann, B. P., et al. (2025) · Alzheimer s & Dementia Translational Research & Clinical Interventions · doi:10.1002/trc2.70122 · Cited by 2
Jutten, R. J., Burling, J. E., Slade, E., Thompson, J. C., Fu, J. F., Birkenbihl, C., Properzi, M. J., Marshall, G. A., Amariglio, R. E., Papp, K. V., et al. (2025) · Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring · doi:10.1002/dad2.70160 · Cited by 2
Prediction of mild cognitive impairment progression using time-sensitive multimodal biomarkers
Gallego-Rudolf, J., Wiesman, A. I., Yakoub, Y., Zetterberg, H., Blennow, K., Baillet, S., & Villeneuve, S. (2026) · Science Advances · doi:10.1126/sciadv.aee2305 · Cited by 2
Chen, F., Wang, H., & He, H. (2025) · Applied Physics Reviews · doi:10.1063/5.0297319 · Cited by 2
Mesial temporal tau pathology impacts basal forebrain degeneration in early Alzheimer's disease
Xia, Y., Dean, M. W., Bourgeat, P., Krishnadas, N., Maruff, P. T., Masters, C. L., Villemagne, V. L., Fripp, J., Rowe, C. C., Doré, V., et al. (2025) · Alzheimer s & Dementia · doi:10.1002/alz.71050 · Cited by 2
Zhu, Y., Singh, R. K., Bekena, S., Brown, D. C., Chen, C., Blake, M., Trani, J., & Babulal, G. M. (2026) · Innovation in Aging · doi:10.1093/geroni/igag013 · Cited by 2
Li, B., Initiative, A. D. N., Shi, K., Ren, C., Kong, M., & Ba, M. (2023) · Journal of Alzheimer s Disease · doi:10.3233/jad-230180 · Cited by 2
Luu, B., Bangen, K. J., Clark, A. L., Weigand, A. J., Rantins, P., García, M. E., Urias, U. A., Merritt, V. C., Thomas, K. R., & for the Department of Defense Alzheimer’s Disease Neuroimaging Initiative (2024) · Aging & Mental Health · doi:10.1080/13607863.2024.2389547 · Cited by 2
Ly, M. T., Altaras, C., Tripodis, Y., Adler, C. H., Balcer, L. J., Bernick, C. B., Zetterberg, H., Blennow, K., Peskind, E. R., Banks, S. J., et al. (2025) · The Clinical Neuropsychologist · doi:10.1080/13854046.2025.2451828 · Cited by 2
Wang, Y., Li, B.-W., Xin, C., Zhang, K., Wu, H., Cui, W.-Q., Xu, X.-Q., Zhang, J., & Zhi, H. (2025) · Molecular Neurobiology · doi:10.1007/s12035-025-04785-w · Cited by 2
Petersen, K. K., Ezzati, A., Nallapu, B. T., Lipton, R. B., Sperling, R. A., Papp, K. V., Rentz, D. M., Johnson, K. A., & Grober, E. H. (2025) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617725101240 · Cited by 2
Jobin, B., Phillips, N. A., Frasnelli, J., Boller, B., & The CIMA-Q group (2025) · Journal of Alzheimer s Disease · doi:10.1177/13872877251378386 · Cited by 3
Borelli, W. V., Leal‐Conceição, E., Andrade, M. A., Esper, N. B., Feltes, P. K., Soder, R. B., Matushita, C. S., Hartmann, L. M., Radaelli, G., Schilling, L. P., et al. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/666438 · Cited by 2
Millar, P. R., Gordon, B. A., Luckett, P. H., Benzinger, T. L. S., Cruchaga, C., Fagan, A. M., Hassenstab, J. J., Perrin, R. J., Schindler, S. E., Allegri, R., et al. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.08.25.505251 · Cited by 2
Self-citationTaha, A., Soni, B., Thakuri, D. S., Ritter, E., Bhattarai, P., & Chand, G. B. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.09.25.509432 · Cited by 2
Cheng, X., Zhao, R., Qiu, H., Song, P., Kou, L., Sang, S., Xia, Y., Cai, W., Jin, B., Huang, Q., et al. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.09.18.613405 · Cited by 2
Biomarkers for Alzheimer's Disease
Panwar, D., Sharma, P., Sharma, S., Malik, M., & Kaur, J. (2024) · Advances in bioinformatics and biomedical engineering book series · doi:10.4018/979-8-3693-6442-0.ch003 · Cited by 1
Geiger, A. R., Guevara, J. E., King, J. B., Hoffman, J. M., & Duff, K. M. (2025) · Journal of Clinical and Experimental Neuropsychology · doi:10.1080/13803395.2025.2578345 · Cited by 1
Breningstall, B. M., Abdollahi, E., Hawes, D., Hiniker, A. O., & Bienkowski, M. S. (2025) · Journal of Neuropathology & Experimental Neurology · doi:10.1093/jnen/nlaf149 · Cited by 1
Murad, T., Miao, H.-Y., Thakuri, D. S., Darekar, G., Initiative, A. D. N., & Chand, G. B. (2025) · medRxiv · doi:10.1101/2025.07.09.25331194 · Cited by 2
The endolysosomal system in neuronal physiology and pathology
Sanchez, S. V. (2019)
Carnitine metabolism in relation to physical performance and cognition in aging
van der Hoek, M. D. (2020) · doi:10.18174/513041
Clinical Research Progress of Alzheimer’s Disease
李, 晓. (2020) · Advances in Clinical Medicine · doi:10.12677/acm.2020.1010341
Brookhouser, N. (2020) · UA Campus Repository (The University of Arizona)
Recent progresses on p-tau as a blood-based Alzheimer’s disease biomarker
Sadala, D., Ramos, V., de Oliveira, D. D. S. M. S., Fernandes, M. J. D. S., & Cominetti, M. R. (2021) · Revista Neurociências · doi:10.34024/rnc.2021.v29.12512
Amyloid Conversion is Related to Risk Factors For DementiaPreprint
Groechel, R. C., Tripodis, Y., Alosco, M. L., Mez, J., Qiu, W. Q., Mercier, G., Goldstein, L. E., Budson, A. E., Kowall, N. W., & Killiany, R. (2022) · SSRN Electronic Journal · doi:10.2139/ssrn.4161567
Chen, D., Li, J., Liu, H., Ao, L., & Zhang, Q. (2022) · International Conference on High Performance Compilation, Computing and Communications (HP3C) · doi:10.1145/3546000.3546008
Wang, J., Sims, K. D., Ackley, S. F., Chen, R., Kobayashi, L. C., Hayes‐Larson, E., Mayeda, E. R., Buto, P. T., Zimmerman, S. C., Graff, R. E., et al. (2023) · medRxiv · doi:10.1101/2023.02.19.23286154
Liu, M., Huang, C., Huang, S., Chang, H., Hsu, S., Lin, K., Ho, T., Huang, K., Cheng, C., & Chang, C. (2024) · Research Square · doi:10.21203/rs.3.rs-3932300/v1
Alzheimer’s neuropathology and longitudinal change in subjective cognitive complaintsPreprint
Bannerjee, A., Elkins, W., Resnick, S. M., & Bilgel, M. (2024) · medRxiv · doi:10.1101/2024.09.25.24314211
Yoon, H. J., Yoon, D., Jun, S., Jeong, Y. J., & Kang, D. (2025) · Algorithms · doi:10.3390/a18020057
New Research on Biomarkers in Alzheimer’s Continuum
Vecchio, I., & Colica, C. (2025) · Reviews on Recent Clinical Trials · doi:10.2174/0115748871331138250114052615 · Cited by 2
Paulsen, A., Driscoll, I. F., Breidenbach, B. M., Glittenberg, M., Lose, S., Ma, Y., Sager, M. A., Carlsson, C., Gallagher, C., Hermann, B. P., et al. (2025) · medRxiv · doi:10.1101/2025.03.03.25323245
Anti-amyloid Monoclonal Antibodies for Alzheimer’s Disease: A New Hope? (Review)
Мазеркина, И. А. (2025) · Safety and Risk of Pharmacotherapy · doi:10.30895/2312-7821-2025-13-1-7-19 · Cited by 1
Ji, Q., Lian, W., Liu, W., Tang, L., Hu, Z., Li, L., Wang, Y., Tao, E., & Zhan, Y. (2025) · Neuroepidemiology · doi:10.1159/000548365 · Cited by 4
Chu, T. Q. T., Morimoto, K., & Kowa, H. (2025) · Journal of Alzheimer's Disease · doi:10.1177/13872877251372958
Predicting dementia risk using neuroimaging and cognitive assessment
Wang, Y., Guiler, W., Patel, A., Pepper, S., Walpitage, N., Ratnayake, I. P., Honea, R. A., & Mudaranthakam, D. P. (2025) · Journal of Aging Research and Lifestyle · doi:10.1016/j.jarlif.2025.100040 · Cited by 1
Li, T.-R., Yao, Y., Jiang, X.-Y., Dong, Q.-Y., Yu, X.-F., Wang, T., Cai, Y.-N., & Han, Y. (2022) · Figshare · doi:10.6084/m9.figshare.19759551
Seo, E. H., Lim, H. J., Yoon, H.-J., Choi, K. Y., Lee, J. J., Park, J. Y., Choi, S. H., Kim, H., Kim, B. C., & Lee, K. H. (2021) · Figshare · doi:10.6084/m9.figshare.16779366
Lei, H.-Y., Pi, G.-L., He, T., Xiong, R., Lv, J.-R., Liu, J.-L., Wu, D.-Q., Li, M.-Z., Shi, K., Li, S.-H., et al. (2024) · Figshare · doi:10.6084/m9.figshare.25378030
Tsoy, E., Strom, A., Iaccarino, L., Erlhoff, S. J., Goode, C. A., Rodriguez, A.-M., Rabinovici, G. D., Miller, B. L., Kramer, J. H., Rankin, K. P., et al. (2021) · Figshare · doi:10.6084/m9.figshare.13787218
Biel, D., Brendel, M., Rubinski, A., Büerger, K., Janowitz, D., Dichgans, M., & Franzmeier, N. (2021) · Figshare · doi:10.6084/m9.figshare.15162146
Dong, Q.-Y., Li, T.-R., Jiang, X.-Y., Wang, X.-N., Han, Y., & Jiang, J. (2021) · Figshare · doi:10.6084/m9.figshare.14385432
Hanford, L. C., Eshghi, M., Du, J., Buckner, R. L., Mair, R. W., Ge, T., Juttukonda, M. R., & Salat, D. H. (2026) · medRxiv · doi:10.64898/2026.01.29.26345147
Short-term memory conjunctive binding in subjective cognitive decline: A PET biomarker-based study
Cecchini, M. A., Studart‐Neto, A., Moraes, N. C., Carneiro, C. G., Gomes, A. C., Buchpiguel, C. A., Brucki, S. M. D., Coutinho, A. M., Nitríni, R., & Yassuda, M. S. (2026) · Journal of Neurology · doi:10.1007/s00415-026-13640-4
Guo, W., Shao, H., Zhang, Y., Liu, L., Zheng, H., Liang, D., Liu, J. R., Zhang, L. J., & Hu, Z. (2026) · Alzheimer s Research & Therapy · doi:10.1186/s13195-026-01991-z · Cited by 1
Chen, F., Xue, M., Wang, H., & He, H. (2026) · Biomedical Optics Express · doi:10.1364/boe.591303
Altered neuronal activity in the hippocampal CA3 region in an in vitro model of tauopathy
Goncalves, A. (2020) · theses.fr (ABES) · doi:10.70675/b42db6dez88a0z4a14z93eez8f51d19d46f5
Bekena, S., Singh, R. K., Zhu, Y., Trani, J., Ances, B. M., & Babulal, G. M. (2026) · GeroScience · doi:10.1007/s11357-026-02246-3
Crawford, J. L., Adornato, A. A., Matulonis, J., Chen, X. F., Hooker, J. M., & Berry, A. S. (2026) · Hippocampus · doi:10.1002/hipo.70100
Low premorbid IQ effects biomarker–cognition relationships: A pilot study
Abdullah, L. B., Zhou, Z., Housini, M., Hall, J., & O’Bryant, S. E. (2026) · Journal of Alzheimer s Disease Reports · doi:10.1177/25424823261445643
Knell, G., Meeker, K. L., Zhou, Z., Petersen, M. E., Hall, J. R., & O’Bryant, S. E. (2026) · Journal of Alzheimer s Disease · doi:10.1177/13872877261449514
Hartz, S. M., Jackson, S., Benzinger, T. L. S., Bierut, L. J., Evans, A., Goswami, S., Gordon, B. A., Hassenstaab, J., Hayibor, L., Linnenbringer, E. L., et al. (2026) · medRxiv · doi:10.64898/2026.05.22.26353881
Self-citationNeuronal overexpression of Nrf2 reduces dystrophic neurites in 5XFAD Alzheimer’s disease model mice
Sadleir, K. R., Gomez, K. P., Chandra, S., Ley, M. L., Khatri, A. W., Guo, J., Xue, Y., Cepko, C. L., & Vassar, R. J. (2026) · Alzheimer s Research & Therapy · doi:10.1186/s13195-026-02097-2
Wu, J., Oishi, K., Soldan, A., Pettigrew, C. A., Lin, Z., Zhu, Y., Jiang, D., Li, X., Gou, Y., Moghekar, A., et al. (2026) · Alzheimer s & Dementia · doi:10.1002/alz.71561
Karmakar, V., Ghosh, A., Majie, A., Chatterjee, K., & Gorain, B. (2026) · Ageing Research Reviews · doi:10.1016/j.arr.2026.103262
Zhu, Y., Brown, D. C., Chen, C., Singh, R. K., Bekena, S., Ances, B. M., Lenze, E. J., Carr, D. B., Trani, J., & Babulal, G. M. (2026) · Molecular Psychiatry · doi:10.1038/s41380-026-03761-7
Bekena, S., Singh, R. K., Pal, S., Zhu, Y., Trani, J., McClannahan, K., & Babulal, G. M. (2026) · Journal of Alzheimer s Disease · doi:10.1177/13872877261470816
Driving Navigation in Older Adults Across the Alzheimer's Disease Continuum
Zhu, Y., Wisch, J. K., Jiao, Z., Brown, D. C., Al‐Hammadi, N., Benzinger, T. L. S., Morris, J. C., Ances, B. M., & Babulal, G. M. (2026) · Journal of the American Geriatrics Society · doi:10.1111/jgs.70665
Self-citationLi, J.-N., Zhang, S., & Zhang, T. (2026) · Computer Methods and Programs in Biomedicine · doi:10.1016/j.cmpb.2026.109620
Zhao, J., Nie, C., Gao, R., Hu, Z., & Lin, Y. (2026) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2026.1964029
Pehlivan, Z. N., Zıkşahna, K., Adıyıl, R., & Ihlamur, M. (2026) · Metabolic Brain Disease · doi:10.1007/s11011-026-01993-8
Sadleir, K. R. (2025) · Galter Health Sciences Library, Northwestern University · doi:10.18131/0m0ef-phj22
The relation of whole-brain functional connectivity to global amyloid and local tau presence
Ziadlou, D., Wales, R., Chen, X., & Leung, H.-C. (2026) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2026.10.007
Metadata
- Authors
- Aschenbrenner, A. J., Gordon, B. A., Benzinger, T. L. S., Morris, J. C., & Hassenstab, J. J.
- Affiliations
- Washington University in St. Louis (US)
- ORCID
- Venue
- Neurology
- Published
- 2018-08-28
- Volume
- 91
- Issue
- 9
- Pages
- e859-e866
- ISSN
- 0028-3878 (ISSN-L)
- 1526-632X
- PMC
- PMC6133625
- OpenAlex
- W2887375324
- Cited by
- 290
- References
- 19
- Citations by year
- 2026: 25 · 2025: 45 · 2024: 27 · 2023: 31 · 2022: 48 · 2021: 46 · 2020: 33 · 2019: 29 · 2018: 6
- FWCI
- 22.43
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Neurology (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institute on Aging (P50AG005681, P01AG003991, U01AG032438, P01AG026276, K01AG053474)
- 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
- Alzheimer's disease, tau PET, amyloid PET, hippocampal volume, cognitive decline, neuroimaging biomarkers, episodic memory, executive function, processing speed, semantic fluency
- MeSH terms
- Aged, Alzheimer Disease, Amyloid, Cognition Disorders, Female, Hippocampus, Humans, Male, Middle Aged, Neuropsychological Tests, Psychiatric Status Rating Scales, Cohort Studies, tau Proteins, Positron-Emission Tomography
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