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Sex and age differences in atrophic rates: an ADNI study with n=1368 MRI scans
Open accessAbstract
We set out to determine factors that influence the rate of brain atrophy in 1-year longitudinal magnetic resonance imaging (MRI) data. With tensor-based morphometry (TBM), we mapped the 3-dimensional profile of progressive atrophy in 144 subjects with probable Alzheimer's disease (AD) (age: 76.5 +/- 7.4 years), 338 with amnestic mild cognitive impairment (MCI; 76.0 +/- 7.2), and 202 healthy controls (77.0 +/- 5.1), scanned twice, 1 year apart. Statistical maps revealed significant age and sex differences in atrophic rates. Brain atrophic rates were about 1%-1.5% faster in women than men. Atrophy was faster in younger than older subjects, most prominently in mild cognitive impairment, with a 1% increase in the rates of atrophy and 2% in ventricular expansion, for every 10-year decrease in age. TBM-derived atrophic rates correlated with reduced beta-amyloid and elevated tau levels (n = 363) at baseline, baseline and progressive deterioration in clinical measures, and increasing numbers of risk alleles for the ApoE4 gene. TBM is a sensitive, high-throughput biomarker for tracking disease progression in large imaging studies; sub-analyses focusing on women or younger subjects gave improved sample size requirements for clinical trials.
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“The brain atrophy rate is 1–1.5% faster in women with AD than that in men [6].”
From Sex specific molecular networks and key drivers of Alzheimer’s disease (2023) · cites this paper as [6]
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“After diagnosis, women also progress faster with more rapid cognitive and functional declines [3–8]”
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“Sex is an important factor that contributes to the clinical and biological heterogeneities in Alzheimer’s disease (AD)”
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Cites
Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing
Benjamini, Y., & Hochberg, Y. (1995) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1995.tb02031.x · Cited by 109,482
Folstein, M. F., Folstein, S. E., & McHugh, P. R. (1975) · Journal of Psychiatric Research · doi:10.1016/0022-3956(75)90026-6 · Cited by 88,282
An Introduction to the Bootstrap
Efron, B., & Tibshirani, R. J. (1994) · doi:10.1201/9780429246593 · Cited by 40,500
PLINK: a tool set for whole-genome association and population-based linkage analyses.
Purcell, S., Neale, B., Todd-Brown, K., Thomas, L., Ferreira, M. A. R., Bender, D., Maller, J., Sklar, P., de Bakker, P. I. W., Daly, M. J., et al. (2007) · The American Journal of Human Genetics · doi:10.1086/519795 · Cited by 34,089
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
Neuropathological stageing of Alzheimer-related changes.
Braak, H., & Braak, E. (1991) · Acta Neuropathologica · doi:10.1007/bf00308809 · Cited by 16,123
Advances in functional and structural MR image analysis and implementation as FSL
Smith, S. M., Jenkinson, M., Woolrich, M. W., Beckmann, C. F., Behrens, T. E. J., Johansen-Berg, H., Bannister, P. R., De Luca, M., Drobnjak, I., Flitney, D. E., et al. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.07.051 · Cited by 13,630
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
Corder, E. H., Saunders, A. M., Strittmatter, W. J., Schmechel, D. E., Gaskell, P. C., Small, G. W., Roses, A. D., Haines, J. L., & Pericak-Vance, M. A. (1993) · Science · doi:10.1126/science.8346443 · Cited by 9,429
A New Clinical Scale for the Staging of Dementia
Hughes, C. P., Berg, L., Danziger, W., Coben, L. A., & Martin, R. L. (1982) · British Journal of Psychiatry · doi:10.1192/bjp.140.6.566 · Cited by 7,056
Cited by
Sorted by citations
Items 101–200 of 264
Alzheimer's Disease Neuroimaging Initiative special issue
Frisoni, G. B., & Weiner, M. W. (2010) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2010.05.006 · Cited by 25
Self-citationHigher performance for women than men in MRI-based Alzheimer’s disease detection
Klingenberg, M., Stark, D., Eitel, F., Budding, C., Habes, M., Ritter, K., & Initiative, A. D. N. (2023) · Alzheimer s Research & Therapy · doi:10.1186/s13195-023-01225-6 · Cited by 26
The rise of large-scale imaging studies in psychiatry
Turner, J. A. (2014) · GigaScience · doi:10.1186/2047-217x-3-29 · Cited by 25
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
Sex differences of brain and their implications for personalized therapy
Rezzani, R., Franco, C., & Rodella, L. F. (2019) · Pharmacological Research · doi:10.1016/j.phrs.2019.01.030 · Cited by 24
Gao, L., Chen, J., Gu, L., Shu, H., Wang, Z., Liu, D., Yan, Y., & Zhang, Z. (2018) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2018.00256 · Cited by 21
Ji, W., An, K., Wang, C., & Wang, S. (2022) · Hereditas · doi:10.1186/s41065-022-00252-x · Cited by 23
Mhatre‐Winters, I., Eid, A., Han, Y., Tieu, K., & Richardson, J. R. (2023) · ASN NEURO · doi:10.1177/17590914221144549 · Cited by 20
Degeneration in Nucleus basalis of Meynert signals earliest stage of Alzheimer’s disease progression
Shafiee, N., Fonov, V., Dadar, M., Spreng, R. N., & Collins, D. L. (2024) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2024.03.003 · Cited by 21
Effortful control and resting state networks: A longitudinal EEG study
Knyazev, G. G., Savostyanov, A. N., Bocharov, A. V., Slobodskaya, H. R., Bairova, N. B., Tamozhnikov, S. S., & Stepanova, V. V. (2017) · Neuroscience · doi:10.1016/j.neuroscience.2017.01.031 · Cited by 25
Menopause and Alzheimer’s disease susceptibility: Exploring the potential mechanisms
Breeze, B., Connell, E., Wileman, T., Müller, M. M., Vauzour, D., & Pontifex, M. G. (2024) · Brain Research · doi:10.1016/j.brainres.2024.149170 · Cited by 22
Spampinato, M. V., Langdon, B., Patrick, K., Parker, R., Collins, H., Pravatà, E., & Initiative, F. T. A. D. N. (2016) · Neuroradiology · doi:10.1007/s00234-016-1740-8 · Cited by 17
Influence of Gender on Tau Precipitation in Alzheimer’s Disease According to ATN Research Framework
Zhang, Y., Lu, J., Wang, M., Zuo, C., & Jiang, J. (2022) · Phenomics · doi:10.1007/s43657-022-00076-9 · Cited by 19
Sauty, B., & Durrleman, S. (2023) · Frontiers in Neurology · doi:10.3389/fneur.2023.1161527 · Cited by 24
Sex differences and the role of estrogens in the immunological underpinnings of Alzheimer's disease
Price, B. R., Walker, K. A., Eissman, J. M., Suryadevara, V., Sime, L. N., Hohman, T. J., & Gordon, M. N. (2025) · Alzheimer s & Dementia Translational Research & Clinical Interventions · doi:10.1002/trc2.70139 · Cited by 25
The role of microRNAs in understanding sex-based differences in Alzheimer’s disease
Llera-Oyola, J., Carceller, H., Andreu, Z., Hidalgo, M. R., Soler-Sáez, I., Gordillo, F., Porlan, A., Pozo‐Morales, M., Beatriz, R., de la Iglesia-Vayá, M., et al. (2024) · Biology of Sex Differences · doi:10.1186/s13293-024-00588-1 · Cited by 20
Luckey, A. M., Robertson, I. H., LAWLOR, B. A., Mohan, A., & Vanneste, S. (2021) · Journal of Alzheimer s Disease · doi:10.3233/jad-210404 · Cited by 24
Sex differences in early‐onset Alzheimer's disease
Contador, J., Pérez‐Millan, A., Guillén, N., Sarto, J., Tort‐Merino, A., Balasa, M., Falgàs, N., Castellví, M., Borrego‐Écija, S., Juncà‐Parella, J., et al. (2022) · European Journal of Neurology · doi:10.1111/ene.15531 · Cited by 21
Parasoglou, P., Osorio, R. S., Khegai, O., Kovbasyuk, Z., Miller, M. D., Ho, A., Dehkharghani, S., Wısnıewskı, T., Convit, A. J., Mosconi, L., et al. (2022) · Neuroimage Reports · doi:10.1016/j.ynirp.2022.100121 · Cited by 18
Li, H., Huang, Z., Gao, Z., Zhu, W., Li, Y., Zhou, S., Li, X., & Yu, Y. (2022) · Neuroscience · doi:10.1016/j.neuroscience.2022.12.001 · Cited by 18
Lutshumba, J., Wilcock, D. M., Monson, N. L., & Stowe, A. M. (2023) · Neurobiology of Disease · doi:10.1016/j.nbd.2023.106202 · Cited by 20
Lee, J., Cho, H., Jeon, S., Kim, Y. J., Kim, Y. J., Lee, J., Kim, S. T., Lee, J. M., Chin, J., Lockhart, S. N., et al. (2018) · Journal of Alzheimer s Disease · doi:10.3233/jad-180049 · Cited by 18
Unsupervised machine learning to identify separable clinical Alzheimer’s disease sub-populations
Prakash, J., Wang, V., Quinn, R. E., & Mitchell, C. S. (2021) · Brain Sciences · doi:10.3390/brainsci11080977 · Cited by 17
Liu, Y., Song, J., Xu, W., Hou, X., Li, J., Yu, J., Tan, L., Chi, S., & Initiative, A. A. D. N. (2021) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.633576 · Cited by 16
Al‐Janabi, O. M., Panuganti, P. K., Abner, E. L., Bahrani, A. A., Murphy, R. R., Bardach, S. H., Caban‐Holt, A., Nelson, P. T., Gold, B. T., Smith, C. D., et al. (2018) · Journal of Neuroimaging · doi:10.1111/jon.12494 · Cited by 17
Impact of amyloid and tau positivity on longitudinal brain atrophy in cognitively normal individuals
Fujishima, M., Kawasaki, Y., Mitsuhashi, T., Matsuda, H., & Initiative, A. D. N. (2024) · Alzheimer s Research & Therapy · doi:10.1186/s13195-024-01450-7 · Cited by 17
Moguilner, S., Herzog, R. A., Perl, Y. S., Medel, V., Cruzat, J., Coronel, C., Kringelbach, M. L., Deco, G., Ibáñez, A. M., & Tagliazucchi, E. (2024) · Alzheimer s Research & Therapy · doi:10.1186/s13195-024-01449-0 · Cited by 15
Tian, J., Jia, K., Wang, T., Guo, L., Xuan, Z., Michaelis, E. K., Swerdlow, R. H., Initiative, A. D. N., & Du, H. (2024) · Translational Psychiatry · doi:10.1038/s41398-024-02958-0 · Cited by 17
Bulgakova, S. V., Иванович, Р. П., Romanchuk, N., Pyatin, V. F., Romanov, D. V., & Volobuev, A. N. (2019) · Bulletin of Science and Practice · doi:10.33619/2414-2948/48/18 · Cited by 14
Li, W., Qiu, Q., Sun, L., Yue, L., Wang, T., Li, X., & Xiao, S. (2017) · Neuropsychiatric Disease and Treatment · doi:10.2147/ndt.s145245 · Cited by 14
Oliva, C. A., Lira, M., Jara, C., Catenaccio, A., Mariqueo, T. A., Lindsay, C. B., Bozinovic, F., Cavieres, G., Inestrosa, N. C., Tapia‐Rojas, C., et al. (2023) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2023.1250342 · Cited by 13
The longitudinal trajectory of CSF sTREM2: the alzheimer’s disease neuroimaging initiative
Wang, Y. T., Ye, M., Ji, Q., Liu, Q., Xu, X., & Zhan, Y. (2024) · Alzheimer s Research & Therapy · doi:10.1186/s13195-024-01506-8 · Cited by 13
Sangha, O., Ma, D., Popuri, K., Stocks, J. K., Wang, L., & Beg, M. F. (2021) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2021.05.018 · Cited by 12
The Clinical Value of Large Neuroimaging Data Sets in Alzheimer's Disease
Toga, A. W. (2011) · Neuroimaging Clinics of North America · doi:10.1016/j.nic.2011.11.008 · Cited by 12
Self-citationSapkota, S., Ramirez, J., Stuss, D. T., Masellis, M., & Black, S. E. (2018) · Alzheimer s Research & Therapy · doi:10.1186/s13195-018-0419-2 · Cited by 12
Gender differences in cognitive decline and Alzheimer’s disease
Gabelli, C., & Codemo, A. (2015) · Italian Journal of Gender-Specific Medicine · Cited by 12
Zheng, Y., Zhao, Y., Zhang, T., Hou, X., Bi, Y., Ma, Y., Xu, W., Shen, X., Dong, Q., Tan, L., et al. (2021) · Journal of Alzheimer s Disease · doi:10.3233/jad-201222 · Cited by 11
DeepResBat: Deep residual batch harmonization accounting for covariate distribution differences
An, L., Zhang, C., Wulan, N., Zhang, S., Chen, P., Ji, F., Ng, K. K., Chen, C., Zhou, J. H., Yeo, B. T. T., et al. (2024) · Medical Image Analysis · doi:10.1016/j.media.2024.103354 · Cited by 10
McFall, G. P., Bäckman, L., & Dixon, R. A. (2019) · Current Alzheimer Research · doi:10.2174/1567205016666190315094452 · Cited by 11
Lee, C., Lui, D. T. W., Cheung, C. Y. Y., Woo, Y. C., Fong, C. H.-Y., Yuen, M. M. A., Shea, Y. F., Siu, D. C. W., Chan, K., Chow, W., et al. (2020) · Diabetes/Metabolism Research and Reviews · doi:10.1002/dmrr.3401 · Cited by 11
Shi, L., Buchanan, C. R., Cox, S. R., Hillary, R. F., Marioni, R. E., Campbell, A., Hayward, C., Stolicyn, A., Whalley, H. C., Harris, M. A., et al. (2021) · Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring · doi:10.1002/dad2.12240 · Cited by 10
Atrophy trajectories in Alzheimer’s disease: how sex matters
Inguanzo, A., Poulakis, K., Oltra, J., Maioli, S., Marseglia, A., Ferreira, D., Mohanty, R., Westman, E., & Initiative, A. D. N. (2025) · Alzheimer s Research & Therapy · doi:10.1186/s13195-025-01713-x · Cited by 10
Investigation of sex differences in mutation carriers of the Dominantly Inherited Alzheimer Network
Wagemann, O., Li, Y., Hassenstab, J. J., Aschenbrenner, A. J., McKay, N. S., Gordon, B. A., Benzinger, T. L. S., Xiong, C., Cruchaga, C., Renton, A. E., et al. (2023) · Alzheimer s & Dementia · doi:10.1002/alz.13460 · Cited by 9
The influence of the macular carotenoids on women’s eye and brain health
Hammond, B. R., & Renzi‐Hammond, L. M. (2022) · Nutritional Neuroscience · doi:10.1080/1028415x.2022.2084125 · Cited by 11
Adlimoghaddam, A., Fontaine, K. M., & Albensi, B. C. (2024) · Biology of Sex Differences · doi:10.1186/s13293-024-00671-7 · Cited by 11
Ghiyamihoor, F., Peymani, P., Perron, J., Asemi‐Rad, A., Marzban, M., Mohite, A., Ardila, K., Aljada, B., Marzban, A., Toback, M., et al. (2025) · Human Brain Mapping · doi:10.1002/hbm.70214 · Cited by 8
Lidén, S., Farahmand, D., & Laurell, K. (2022) · Fluids and Barriers of the CNS · doi:10.1186/s12987-022-00353-9 · Cited by 9
Sex differences in olfactory cortex neuronal loss in aging
Alotaibi, M. M., Marco, M. D., & Venneri, A. (2023) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2023.1130200 · Cited by 9
Verovnik, B., Khachatryan, E., Šuput, D., & Hulle, M. M. V. (2023) · Alzheimer s & Dementia · doi:10.1002/alz.12991 · Cited by 11
Shi, Y., Cui, D., Sun, F., OuYang, Z., Dou, R., Jiao, Q., Cao, W., & Yu, G. (2024) · iScience · doi:10.1016/j.isci.2024.109041 · Cited by 8
Grey matter networks in women and men with dementia with Lewy bodies
Habich, A., Oltra, J., Schwarz, C. G., Przybelski, S. A., Oppedal, K., Inguanzo, A., Blanc, F., Lemstra, A. W., Hort, J., Westman, E., et al. (2024) · npj Parkinson s Disease · doi:10.1038/s41531-024-00702-5 · Cited by 8
Exercise and the Aging Brain: Considerations for Sex Differences
Barha, C. K., & Liu-Ambrose, T. Y. L. (2018) · Brain Plasticity · doi:10.3233/bpl-1867 · Cited by 8
Stites, S. D., Cao, H., James, R., Harkins, K. A., Coykendall, C., & Flatt, J. D. (2023) · Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring · doi:10.1002/dad2.12359 · Cited by 8
Conveying Risks of Harm in Alzheimer Disease by Amyloid Lowering
Thambisetty, M., & Howard, R. J. (2024) · JAMA · doi:10.1001/jama.2024.7548 · Cited by 7
Lee, H. I., Kang, M. K., Hwang, K., Kim, C.-Y., Kim, Y. J., Suh, K. J., Choi, B. S., Choe, G., Kim, I. A., & Jang, B. (2022) · Radiotherapy and Oncology · doi:10.1016/j.radonc.2022.09.022 · Cited by 8
Identification of Sex-Specific Genetic Variants Associated With Tau PET
Wang, X., Broce, I., Deters, K., Fan, C. C., & Banks, S. J. (2022) · Neurology Genetics · doi:10.1212/nxg.0000000000200043 · Cited by 7
Zhang, T., Shaw, M. E., Walsh, E., Sachdev, P. S., Anstey, K. J., & Cherbuin, N. (2018) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2018.06.002 · Cited by 7
Sex Differences of Longitudinal Brain Changes in Cognitively Unimpaired Adults
Falcón, C., Grau‐Rivera, O., Suárez‐Calvet, M., Bosch, B., Sánchez‐Valle, R., Arenaza‐Urquijo, E. M., Gónzalez‐de‐Echávarri, J. M., Gispert, J. D., Rami, L., & Molinuevo, J. L. (2020) · Journal of Alzheimer s Disease · doi:10.3233/jad-200293 · Cited by 8
Shi, H., Ma, D., Nie, Y., Beg, M. F., Pei, J., & Cao, J. (2021) · Journal of medical imaging · doi:10.1117/1.jmi.8.2.024502 · Cited by 8
Li, Y., Guo, M., Yang, F., Liu, Y., AL-Ghammari, A., Chen, S.-Q., Yin, Y., Niu, S., Shan, E., Cui, Y., et al. (2025) · BMC Geriatrics · doi:10.1186/s12877-025-05801-3 · Cited by 6
Jin, Z., Sethi, S. K., Li, B., Tang, R., Li, Y., Hsu, C. C.-T., He, N., Haacke, E. M., & Yan, F. (2020) · Frontiers in Neuroscience · doi:10.3389/fnins.2020.572595 · Cited by 5
Weinstein, S. M., Davatzikos, C. A., Doshi, J. J., Linn, K. A., Shinohara, R. T., & Initiative, A. D. N. (2022) · Biostatistics · doi:10.1093/biostatistics/kxac031 · Cited by 6
Inflammation in Alzheimer’s disease: do sex and APOE matter?Preprint
Duarte‐Guterman, P., Albert, A., Inkster, A. M., Barha, C. K., Galea, L. A. M., & Initiative, O. B. O. T. A. D. N. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/741777 · Cited by 4
Single‐cell landscape of sex‐specific drivers of Alzheimer's disease
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 9
Lin, K. A., Initiative, A. D. N., Rundel, C. W., & Doraiswamy, P. M. (2016) · Journal of Alzheimer s Disease · doi:10.3233/jad-160513 · Cited by 5
Yang, Q., Shomal-Zadeh, F., & Gholipour, A. (2026) · Medical Image Analysis · doi:10.1016/j.media.2026.104066 · Cited by 10
Women’s midlife: the front line of Alzheimer prevention
Mosconi, L. (2026) · Journal of Clinical Investigation · doi:10.1172/jci199832 · Cited by 9
Sex differences in brain iron deposition and microglial ferritin in Alzheimer's disease
Rahman, S. M., Tan, C., Kakita, A., & Moruno-Manchon, J. F. (2025) · Science Progress · doi:10.1177/00368504251336080 · Cited by 4
Neuharth, J., Hernandez, K. A., Bernholtz, J., Edwards, H., & Stewart, A. (2025) · Biology of Sex Differences · doi:10.1186/s13293-025-00788-3 · Cited by 3
Neurological Disorders and Women's Health: Contribution of Molecular Neuroimaging Techniques
Ekmekçioğlu, Ö., Albert, N. L., Heinrich, K., Tolboom, N., Weehaeghe, D. V., Traub‐Weidinger, T., Atay, L. Ö., Garibotto, V., & Morbelli, S. D. (2024) · Seminars in Nuclear Medicine · doi:10.1053/j.semnuclmed.2024.01.010 · Cited by 3
Tarai, S., Bit, A., Reis, H. J., Palotás, A., Rizvanov, A. A., & Bissoyi, A. (2016) · BioNanoScience · doi:10.1007/s12668-016-0240-y · Cited by 3
Simeone, P. G., Vadini, F., Tripaldi, R., Liani, R., Ciotti, S., Di Castelnuovo, A., Cipollone, F., & Santilli, F. (2021) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2021.632655 · Cited by 3
Correction: Altered Reward Circuitry in the Norepinephrine Transporter Knockout Mouse
Gallagher, J. J., Zhang, X., Hall, F. S., Uhl, G. R., Bearer, E. L., & Jacobs, R. E. (2013) · PLoS ONE · doi:10.1371/annotation/76516adc-5541-4941-b4ff-e80d1c4d769f · Cited by 3
Yu, G., Thorpe, A. L., Zeng, Q., Wang, E., Cai, D., Wang, M., & Zhang, B. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.12.01.626234 · Cited by 3
Pace, T., Levenstein, J. M., Quigley, B. L., Houston, R., Bouças, A. P., & Andrews, S. C. (2026) · Aging Cell · doi:10.1111/acel.70497 · Cited by 2
Christodoulou, R. C., Vamvouras, G., Papageorgiou, P. S., Sarquis, M. D., Petrou, V., Rivera, L., Morales, C., Rivera, G., Papageorgiou, S. G., & Vassiliou, E. K. (2025) · Biomedicines · doi:10.3390/biomedicines13112689 · Cited by 2
Wang, X., Tong, L., Li, X., Zhou, X. X., & Yang, H. F. (2011) · Advanced materials research · doi:10.4028/www.scientific.net/amr.301-303.1060 · Cited by 2
Zhang, X., Rawal, P., Wu, L., & Zhao, L. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-818000-6.00007-x · Cited by 2
Longitudinal regression of covariance matrix outcomes
Zhao, Y., Caffo, B. S., & Luo, X. (2022) · Biostatistics · doi:10.1093/biostatistics/kxac045 · Cited by 2
Cimiotti, C. G. V., Paganetti, P., Rossi, S., Soldini, E., & Sacco, L. (2023) · NeuroSci · doi:10.3390/neurosci4040026 · Cited by 3
Chelucci, E., Scarfò, G., Piccarducci, R., Rizza, A., Fusi, J., Epifani, F., Carpi, S., Polini, B., Betti, L., Costa, B., et al. (2024) · Journal of Molecular Neuroscience · doi:10.1007/s12031-024-02278-4 · Cited by 2
Haag, L., Lancini, E., Yakupov, R., Ziegler, G., Yi, Y., Lüsebrink, F., Glanz, W., Peters, O., Spruth, E. J., Altenstein, S., et al. (2024) · Brain Communications · doi:10.1093/braincomms/fcaf031 · Cited by 2
Zeydan, B., & Kantarci, K. (2025) · Revue Neurologique · doi:10.1016/j.neurol.2025.06.015 · Cited by 2
Adamo, S. M., Ramirez, J., Holmes, M. F., Gao, F., Zotovic, L., Masellis, M., & Black, S. E. (2020) · medRxiv · doi:10.1101/2020.11.30.20240879 · Cited by 3
Testosterone as a mediator of APOE4-linked sex differences in Alzheimer's disease
Shi, Z., Wu, L., Zhang, C., Zeng, X., Yao, G., He, X., Hu, J., Xie, T., & He, L. (2025) · International Immunopharmacology · doi:10.1016/j.intimp.2025.115588 · Cited by 3
Rapaka, D., Saniotis, A., Monkgogi, T., & Bitra, V. R. (2026) · Biomedicine & Pharmacotherapy · doi:10.1016/j.biopha.2026.118999 · Cited by 3
Schindler, E., & Reddy, P. H. (2023) · Elsevier eBooks · doi:10.1016/b978-0-443-15256-6.00001-5 · Cited by 1
Sex differences in the structural rich-club connectivity in patients with Alzheimer’s disease
Kim, S.-J., Bae, Y. J., Park, Y. H., Jang, H., Kim, J. P., Seo, S. W., Seong, J., & Kim, G. H. (2023) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2023.1209027 · Cited by 1
Anderson, R. M., Hart, D. W., Sweis, B. M., Sherman, M. A., Thomas, M. J., Redish, A. D., & Lesné, S. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.03.16.435712 · Cited by 1
Jett, S., Dyke, J. P., Andy, C., Schelbaum, E., Jang, G., Boneu, C., Pahlajani, S. S., Díaz, I., Brinton, R. D., & Mosconi, L. (2022) · Research Square · doi:10.21203/rs.3.rs-1723651/v1 · Cited by 1
Sex differences in grey matter networks in dementia with Lewy bodiesPreprint
Habich, A., Oltra, J., Schwarz, C. G., Przybelski, S. A., Oppedal, K., Inguanzo, A., Blanc, F., Lemstra, A. W., Hort, J., Westman, E., et al. (2023) · Research Square · doi:10.21203/rs.3.rs-2519935/v1 · Cited by 1
Santander, T., & Miller, M. B. (2023) · Elsevier eBooks · doi:10.1016/b978-0-12-820480-1.00031-0 · Cited by 1
Ong, K. T. (2018) · OBM Geriatrics · doi:10.21926/obm.geriatr.1803011
Disrupting Alzheimer's Disease Research
Comer, M., Freire, M. C., & Russell, A. J. (2013) · Disruptive Science and Technology · doi:10.1089/dst.2013.1502
The Interplay of Progestins, Matrix Metalloproteinases, and the Aging Brain
Porter, K. N. (2020) · The Research Repository @ WVU (West Virginia University) · doi:10.33915/etd.7973
Sex differences in neuroimaging biomarkers in healthy subjects and dementia
Massa, F., Arnaldi, D., Balma, M., Bauckneht, M., Chincarini, A., Ferraro, P. M., Grazzini, M., Lapucci, C., Meli, R., Morbelli, S. D., et al. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-819344-0.00009-0
Sánchez‐Sarasúa, S. (2021) · Tesis Doctorals en Xarxa (Consorci de Serveis Universitaris de Catalunya) · doi:10.6035/14112.2021.368012
Gammada, E. Z., Au, R., & Foldi, N. S. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-819344-0.00001-6
Onishchenko, D., Searle, S. D., Rockwood, K. J., Mastrianni, J. A., & Chattopadhyay, I. (2021) · SSRN Electronic Journal · doi:10.2139/ssrn.3920640 · Cited by 1
Weinstein, S. M., Davatzikos, C. A., Doshi, J. J., Linn, K. A., Shinohara, R. T., & Initiative, A. D. N. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.01.27.477859
Metadata
- Authors
- Hua, X., Hibar, D. P., Lee, S., Toga, A. W., Jack, C. R., Weiner, M. W., & Thompson, P. M.
- Affiliations
- University of California, Los Angeles (US)
- Mayo Clinic (US)
- San Francisco VA Medical Center (US)
- Corresponding author
- Thompson, Paul M.
- Venue
- Neurobiology of Aging
- Publisher
- Elsevier BV
- Published
- 2010-08
- Volume
- 31
- Issue
- 8
- Pages
- 1463-1480
- ISSN
- 0197-4580 (ISSN-L)
- PMC
- PMC2927200
- OpenAlex
- W2103030628
- Cited by
- 234
- References
- 153
- Citations by year
- 2026: 13 · 2025: 12 · 2024: 40 · 2023: 21 · 2022: 20 · 2021: 23 · 2020: 15 · 2019: 12 · 2018: 19 · 2017: 8 · 2016: 12 · 2015: 10 · 2014: 3 · 2013: 12 · 2012: 3
- FWCI
- 5.68
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Neurobiology of Aging (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- Dana Foundation
- Eunice Kennedy Shriver National Institute of Child Health and Human Development (R01 HD050735)
- National Institutes of Health (K01 AG030514, P30 AG010129, U54-RR021813)
- National Institute of Biomedical Imaging and Bioengineering (R01 EB007813, R01 EB008281, R01 EB008432)
- National Institute on Aging (R01 AG020098)
- 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
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Keywords
- brain atrophy rate, sex differences, age differences, Alzheimer's disease, amnestic mild cognitive impairment, ventriculomegaly, amyloid-beta, tau protein, APOE ε4, disease progression biomarkers
- MeSH terms
- Age Factors, Aged, Aged, 80 and over, Alzheimer Disease, Atrophy, Cognition Disorders, Female, Follow-Up Studies, Humans, Longitudinal Studies, Magnetic Resonance Imaging, Male, Middle Aged, Prospective Studies, Sex Characteristics, Disease Progression
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