Association between brain amyloid deposition and longitudinal changes of white matter hyperintensities
Open accessAbstract
Background: Growing evidence suggests that not only cerebrovascular disease but also Alzheimer’s disease (AD) pathological process itself cause cerebral white matter degeneration, resulting in white matter hyperintensities (WMHs). Some preclinical evidence also indicates that white matter degeneration may precede or affect the development of AD pathology. This study aimed to clarify the direction of influence between in vivo AD pathologies, particularly beta-amyloid (Aβ) and tau deposition, and WMHs through longitudinal approach. Methods: Total 282 older adults including cognitively normal and cognitively impaired individuals were recruited from the Korean Brain Aging Study for the Early Diagnosis and Prediction of Alzheimer’s Disease (KBASE) cohort. The participants underwent comprehensive clinical and neuropsychological assessment, [ 11 C] Pittsburgh Compound B PET for measuring Aβ deposition, [ 18 F] AV-1451 PET for measuring tau deposition, and MRI scans with fluid-attenuated inversion recovery image for measuring WMH volume. The relationships between Aβ or tau deposition and WMH volume were examined using multiple linear regression analysis. In this analysis, baseline Aβ or tau were used as independent variables, and change of WMH volume over 2 years was used as dependent variable to examine the effect of AD pathology on increase of WMH volume. Additionally, we set baseline WMH volume as independent variable and longitudinal change of Aβ or tau deposition for 2 years as dependent variables to investigate whether WMH volume could precede AD pathologies. Results: Baseline Aβ deposition, but not tau deposition, had significant positive association with longitudinal change of WMH volume over 2 years. Baseline WMH volume was not related with any of longitudinal change of Aβ or tau deposition for 2 years. We also found a significant interaction effect between baseline Aβ deposition and sex on longitudinal change of WMH volume. Subsequent subgroup analyses showed that high baseline Aβ deposition was associated with increase of WMH volume over 2 years in female, but not in male. Conclusions: Our findings suggest that Aβ deposition accelerates cerebral WMHs, particularly in female, whereas white matter degeneration appears not influence on longitudinal Aβ increase. The results also did not support any direction of influence between tau deposition and WMHs.
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Only a few studies reported faster longitudinal WMH growth in individuals with higher baseline Aβ deposition.
“Only a few studies reported faster longitudinal WMH growth in individuals with higher baseline Aβ deposition. 35 , 61 , 62 , 63”
From White matter hyperintensity modulates the amyloid‐tau‐cognition association and anti‐amyloid treatment efficacy in asymptomatic older adults (2025) · cites this paper as [61]
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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
Tzourio-Mazoyer, N., Landeau, B., Papathanassiou, D., Crivello, F., Etard, O., Delcroix, N., Mazoyer, B., & Joliot, M. (2002) · NeuroImage · doi:10.1006/nimg.2001.0978 · Cited by 16,319 · 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
“MCI was defined as having CDR score of 0.5 and meeting core clinical criteria for diagnosis of MCI on the National Institute on Aging and Alzheimer’s Association (NIA-AA) guideline [22].”
MethodInfluentialWhite matter hyperintensities, cognitive impairment and dementia: an update
Prins, N. D., & Scheltens, P. (2015) · Nature Reviews Neurology · doi:10.1038/nrneurol.2015.10 · Cited by 1,284 · see citing works
Apolipoprotein E genotyping by one-stage PCR
Wenham, P. R., Price, W. H., & Blundell, G. (1991) · The Lancet · doi:10.1016/0140-6736(91)92823-k · Cited by 1,070 · see citing works
Defining imaging biomarker cut points for brain aging and Alzheimer's disease
Jack, C. R., Wiste, H. J., Weigand, S. D., Therneau, T. M., Lowe, V. J., Knopman, D. S., Gunter, J. L., Senjem, M. L., Jones, D. T., Kantarci, K., et al. (2017) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2016.08.005 · Cited by 931 · see citing works
Reiman, 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
Lee, J. H., Lee, K. U., Lee, D. Y., Kim, K. W., Jhoo, J. H., Kim, J. H., Lee, K. H., Kim, S. Y., Han, S., & Woo, J. I. (2002) · The Journals of Gerontology Series B · doi:10.1093/geronb/57.1.p47 · Cited by 774 · see citing works
Self-citationHormones and mood: from menarche to menopause and beyond
Steiner, M. S. (2003) · Journal of Affective Disorders · doi:10.1016/s0165-0327(02)00432-9 · Cited by 556 · see citing works
Protective actions of sex steroid hormones in Alzheimer’s disease
Pike, C. J., Carroll, J. C., Rosario, E. R., & Barron, A. M. (2009) · Frontiers in Neuroendocrinology · doi:10.1016/j.yfrne.2009.04.015 · Cited by 524 · see citing works
Sex-specific differences in hypertension and associated cardiovascular disease
Colafella, K. M. M., & Denton, K. M. (2018) · Nature Reviews Nephrology · doi:10.1038/nrneph.2017.189 · Cited by 493 · see citing works
A normative study of the CERAD neuropsychological assessment battery in the Korean elderly
LEE, D. Y., Lee, K. U., Lee, H., Kim, K. W., Jhoo, J. H., Kim, S. Y., Yoon, J. C., WOO, S. I., Ha, J. B., & Woo, J. I. (2004) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617704101094 · Cited by 407 · see citing works
Self-citationCerebrovascular disease in ageing and Alzheimer’s disease
Love, S., & Miners, J. S. (2016) · Acta Neuropathologica · doi:10.1007/s00401-015-1522-0 · Cited by 299 · see citing works
Maezawa, I., Zimin, P. I., Wulff, H., & Jin, L. (2010) · Journal of Biological Chemistry · doi:10.1074/jbc.m110.135244 · Cited by 279 · see citing works
Memory impairment, but not cerebrovascular disease, predicts progression of MCI to dementia
DeCarli, C. S., Mungas, D., Harvey, D., Reed, B., Weiner, M. W., Chui, H. C., & Jagust, W. J. (2004) · Neurology · doi:10.1212/01.wnl.0000130531.90205.ef · Cited by 273 · see citing works
McAleese, K. E., Walker, L., Graham, S., Moya, E. L. J., Johnson, M. A., Erskine, D., Colloby, S. J., Dey, M., Martin-Ruiz, C. M., Taylor, J., et al. (2017) · Acta Neuropathologica · doi:10.1007/s00401-017-1738-2 · Cited by 271 · see citing works
Desai, M. K., Sudol, K. L., Janelsins, M. C., Mastrangelo, M. A., Frazer, M. E., & Bowers, W. J. (2009) · Glia · doi:10.1002/glia.20734 · Cited by 266 · see citing works
di Penta, A., Moreno, B., Reix, S., Fernández-Díez, B., Villanueva, M., Errea, O., Escala, N., Vandenbroeck, K., Comella, J. X., & Villoslada, P. (2013) · PLoS ONE · doi:10.1371/journal.pone.0054722 · Cited by 258 · see citing works
White matter hyperintensities: relationship to amyloid and tau burden
Graff-Radford, J., Arenaza-Urquijo, E. M., Knopman, D. S., Schwarz, C. G., Brown, R. D., Rabinstein, A. A., Gunter, J. L., Senjem, M. L., Przybelski, S. A., Lesnick, T., et al. (2019) · Brain · doi:10.1093/brain/awz162 · Cited by 253 · see citing works
White-matter integrity on DTI and the pathologic staging of Alzheimer’s disease
Kantarci, K., Murray, M. E., Schwarz, C. G., Reid, R. I., Przybelski, S. A., Lesnick, T., Zuk, S. M., Raman, M. R., Senjem, M. L., Gunter, J. L., et al. (2017) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2017.04.024 · Cited by 205 · see citing works
Park, J., Han, S.-H., Yi, D., Byun, M. S., Lee, J. H., Jang, S. S., Ko, K., Jeon, S. Y., Lee, Y., Kim, Y. K., et al. (2018) · Brain · doi:10.1093/brain/awy347 · Cited by 178 · see citing works
Self-citationWhite matter hyperintensity topography in Alzheimer's disease and links to cognition
Garnier‐Crussard, A., Bougacha, S., Wirth, M., Dautricourt, S., Sherif, S., Landeau, B., Gonneaud, J., De Flores, R., de la Sayette, V., Vivien, D., et al. (2022) · Alzheimer's & Dementia · doi:10.1002/alz.12410 · Cited by 170 · see citing works
Cortical tau load is associated with white matter hyperintensities
McAleese, K. E., Firbank, M., Dey, M., Colloby, S. J., Walker, L., Johnson, M., Beverley, J. R., Taylor, J. P., Thomas, A. J., O’Brien, J. T., et al. (2015) · Acta Neuropathologica Communications · doi:10.1186/s40478-015-0240-0 · Cited by 161 · see citing works
Loss of tau elicits axonal degeneration in a mouse model of Alzheimer's disease
Dawson, H. N., Cantillana, V., Jansen, M., Wang, H., Vitek, M. P., Wilcock, D. M., Lynch, J., & Laskowitz, D. T. (2010) · Neuroscience · doi:10.1016/j.neuroscience.2010.04.037 · Cited by 137 · see citing works
Is Alzheimer’s a disease of the white matter?
Sachdev, P. S., Zhuang, L., Braidy, N., & Wen, W. (2013) · Current Opinion in Psychiatry · doi:10.1097/yco.0b013e32835ed6e8 · Cited by 137 · see citing works
Associations between amyloid β and white matter hyperintensities: A systematic review
Roseborough, A. D., Ramirez, J., Black, S. E., & Edwards, J. D. (2017) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2017.01.026 · Cited by 134 · see citing works
Byun, M. S., Yi, D., Lee, J. H., Choe, Y. M., Sohn, B. K., Lee, J., Choi, H. J., Baek, H., Kim, Y. K., Lee, Y., et al. (2017) · Psychiatry Investigation · doi:10.4306/pi.2017.14.6.851 · Cited by 116 · see citing works
Self-citationBulk, M., Abdelmoula, W. M., Nabuurs, R. J. A., van der Graaf, L. M., Mulders, C. W. H., Mulder, A. A., Jost, C. R., Koster, A. J., van Buchem, M. A., Natté, R., et al. (2017) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2017.10.017 · Cited by 115 · see citing works
A probabilistic atlas of the cerebellar white matter
van Baarsen, K. M., Kleinnijenhuis, M., Jbabdi, S., Sotiropoulos, S. N., Grotenhuis, J. A., & van Walsum, A. M. V. C. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.09.014 · Cited by 99 · see citing works
Loss of white matter integrity reflects tau accumulation in Alzheimer disease defined regions
Strain, J. F., Smith, R. X., Beaumont, H., Roe, C. M., Gordon, B. A., Mishra, S., Adeyemo, B., Christensen, J. J., Su, Y., Morris, J. C., et al. (2018) · Neurology · doi:10.1212/wnl.0000000000005864 · Cited by 97 · see citing works
Relation Between Sex, Menopause, and White Matter Hyperintensities
Lohner, V., Pehlivan, G., Sanromà, G., Miloschewski, A., Schirmer, M. D., Stöcker, T., Reuter, M., & Breteler, M. M. B. (2022) · Neurology · doi:10.1212/wnl.0000000000200782 · Cited by 97 · see citing works
Cerebrovascular disease promotes tau pathology in Alzheimer’s disease
Laing, K. K., Simoes, S., Baena-Caldas, G. P., Lao, P. J., Kothiya, M., Igwe, K. C., Chesebro, A. G., Houck, A. L., Pedraza, L., Hernandez, A. I., et al. (2020) · Brain Communications · doi:10.1093/braincomms/fcaa132 · Cited by 93 · see citing works
Schwarz, C. G., Senjem, M. L., Gunter, J. L., Tosakulwong, N., Weigand, S. D., Kemp, B. J., Spychalla, A. J., Vemuri, P., Petersen, R. C., Lowe, V. J., et al. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.08.056 · Cited by 83 · see citing works
White matter hyperintensities and CSF Alzheimer disease biomarkers in preclinical Alzheimer disease
Soldan, A., Pettigrew, C. A., Zhu, Y., Wang, M., Moghekar, A., Gottesman, R. F., Singh, B., Martinez, O., Fletcher, E. M., DeCarli, C. S., et al. (2019) · Neurology · doi:10.1212/wnl.0000000000008864 · Cited by 82 · see citing works
Desai, M. K., Guercio, B. J., Narrow, W. C., & Bowers, W. J. (2011) · Glia · doi:10.1002/glia.21131 · Cited by 74 · see citing works
Weaver, N. A., Doeven, T., Barkhof, F., Biesbroek, J. M., Groeneveld, O. N., Kuijf, H. J., Prins, N. D., Scheltens, P., Teunissen, C. E., van der Flier, W. M., et al. (2019) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2019.08.001 · Cited by 71 · see citing works
Dadar, M., Camicioli, R., Duchesne, S., Collins, D. L., & Initiative, F. T. A. D. N. (2020) · Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring · doi:10.1002/dad2.12091 · Cited by 64 · see citing works
Lowe, V. J., Lundt, E. S., Senjem, M. L., Schwarz, C. G., Min, H.-K. P., Przybelski, S. A., Kantarci, K., Knopman, D. S., Petersen, R. C., & Jack, C. R. (2018) · Journal of Nuclear Medicine · doi:10.2967/jnumed.117.204271 · Cited by 55 · see citing works
Degradation of Amyloid β Protein by Purified Myelin Basic Protein*
Liao, M.-C., Ahmed, M., Smith, S. O., & Nostrand, W. V. V. (2009) · Journal of Biological Chemistry · doi:10.1074/jbc.m109.050856 · Cited by 54 · see citing works
Walsh, P., Sudre, C. H., Fiford, C. M., Ryan, N. S., Lashley, T., Frost, C. D., & Barnes, J. (2020) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2020.03.008 · Cited by 49 · see citing works
White matter hyperintensities are associated with subthreshold amyloid accumulation
Moscoso, A., Rey-Bretal, D., Silva-Rodríguez, J., Aldrey, J. M., Cortés, J., Pías-Peleteiro, J., Ruibal, Á., & Aguiar, P. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.116944 · Cited by 49 · cited 1× · see citing works
“Additionally, in contrast to our result, another study which focused only on the influence of WMHs on Aβ change demonstrated that baseline WMH volume was significantly related with increase of cerebral Aβ deposition [19].”
ResultTsai, J., Peng, S., Chen, Y., Wang, K.-W., Li, C.-H., Wang, J. Y., Chen, C.-J., Lin, H.-J., Smith, E. E., Wu, H.-K., et al. (2014) · PLoS ONE · doi:10.1371/journal.pone.0104011 · Cited by 47 · see citing works
Are the brain's vascular and Alzheimer pathologies additive or interactive?
Koncz, R., & Sachdev, P. S. (2017) · Current Opinion in Psychiatry · doi:10.1097/yco.0000000000000395 · Cited by 46 · see citing works
Keuss, S. E., Coath, W., Nicholas, J. M., Poole, T., Barnes, J., Cash, D. M., Lane, C., Parker, T. D., Keshavan, A., Buchanan, S. M., et al. (2022) · Neurology · doi:10.1212/wnl.0000000000200524 · Cited by 38 · see citing works
Hayden, E. Y., Putman, J. N., Nuñez, S., Shin, W. S., Oberoi, M. R., Charreton, M., Dutta, S., Li, Z., Komuro, Y., Joy, M. T., et al. (2019) · Acta Neuropathologica Communications · doi:10.1186/s40478-019-0783-6 · Cited by 37 · see citing works
Pietroboni, A. M., Colombi, A., Carandini, T., Scarpini, E. A., Galimberti, D., & Bozzali, M. (2020) · Journal of Alzheimer s Disease · doi:10.3233/jad-200868 · Cited by 30 · see citing works
Strain, J. F., Barthélemy, N. R., Horie, K., Gordon, B. A., Kilgore, C. B., Aschenbrenner, A. J., Cruchaga, C., Xiong, C., Joseph‐Mathurin, N., Hassenstab, J. J., et al. (2022) · Neurobiology of Disease · doi:10.1016/j.nbd.2022.105714 · Cited by 20 · see citing works
Sex‐specific biomarkers in Alzheimer's disease progression: Framingham Heart Study
Liu, C., Li, Y., Nwosu, A., Ang, T. F. A., Liu, Y., Devine, S., Au, R., & Doraiswamy, P. M. (2022) · Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring · doi:10.1002/dad2.12369 · Cited by 18 · see citing works
Flagged first, then by citations
Research works printed but not linked: 1
- [23]Association AP. Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, Text Revision (DSM-IV-TR). Washington, DC: American Psychiatric Association; 2000.
Cited by
Sorted by citations
Couteur, D. G. L., Ngu, M., Hunt, N. J., Brandon, A. E., Simpson, S. J., & Cogger, V. C. (2025) · Nature Reviews Gastroenterology & Hepatology · doi:10.1038/s41575-025-01099-z · Cited by 64 · see citing works
Recent advances in neuroimaging of Alzheimer's disease and related dementias
Ottoy, J., Owsicki, N., Bilgel, M., Binette, A. P., Salvadó, G., Kang, M. S., Cash, D. M., Ewers, M., Joie, R. L., Wisse, L. E. M., et al. (2025) · Alzheimer s & Dementia · doi:10.1002/alz.70648 · Cited by 27 · see citing works
White matter fractional anisotropy decreases precede hyperintensities in Alzheimer’s disease
Sun, P., He, Z., Chu, E., Fan, X., Cai, Y. Q., Lan, G., Liu, L., Shi, D., Li, L., Yang, J., et al. (2025) · Cell Reports Medicine · doi:10.1016/j.xcrm.2025.102138 · Cited by 18 · see citing works
Lu, J., Wang, J., Wu, J., Zhang, H., Ma, X., Zhu, Y., Wang, J., Yang, Y., Xiao, Z., Li, M., et al. (2024) · Alzheimer s & Dementia · doi:10.1002/alz.14245 · Cited by 12 · see citing works
Vestergaard, M. B., Bakhtiari, A., Osler, M., Mortensen, E. L., Lindberg, U., Law, I. G., Lauritzen, M., Benedek, K., & Larsson, H. B. W. (2025) · Alzheimer s Research & Therapy · doi:10.1186/s13195-024-01652-z · Cited by 9 · see citing works
Lv, L., Guo, H. J., Zhao, Z., & Zhao, X. (2025) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2025.1693840 · Cited by 4 · see citing works
Amyloid and tau pathologies are drivers of white matter damage in aging and Alzheimer’s disease
Kamal, F., & Dadar, M. (2026) · GeroScience · doi:10.1007/s11357-026-02357-x · Cited by 3 · see citing works
Lin, Z., Hong, Y., Hu, Y., Xiao, Q., Peng, S., Wu, D., Guo, T., & Jiang, D. (2025) · Alzheimer's & Dementia · doi:10.1002/alz.70990 · Cited by 2 · see citing works
Qiu, Y., Bao, J., Wang, T., Shang, L., Chu, S., Jin, W., Wang, W., Jiang, Y., Li, B., Huang, Y., et al. (2025) · Journal of Alzheimer s Disease · doi:10.1177/13872877251360239 · Cited by 2 · see citing works
Clinical correlates of perfusion and diffusion MRI metrics in cognitively unimpaired older adults
Shakibajahromi, B., Dolui, S., Brown, C., Taghvaei, M., Sadaghiani, S., Khandelwal, P., Das, S. R., Yushkevich, P. A., Nasrallah, I. M., Xie, S. X., et al. (2025) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1177/0271678x251389043 · Cited by 1 · see citing works
Shi, K., Luo, X., Liu, T., Liu, W.-Z., Dong, Y.-F., Zheng, F.-B., Zhou, X., Xing, J.-S., Sun, Z.-H., Chen, Q.-Q., et al. (2026) · Journal of Advanced Research · doi:10.1016/j.jare.2026.08.057 · Cited by 1 · see citing works
Menze, I., Bernal, J., Kievit, R., Yakupov, R., Altenstein, S., Bartels, C., Büerger, K., Butryn, M., Dechent, P., Ewers, M., et al. (2025) · medRxiv · doi:10.1101/2025.06.16.25329648
Hakhu, S., Schaefer, S. Y., Beeman, S. C., & Initiative, A. D. N. (2025) · medRxiv · doi:10.1101/2025.07.23.25332087
Chen, Z., Yang, K., Lin, F., Tang, W., Shi, Y., Zhou, S., Liu, J. S., & You, Y. (2026) · Ageing Research Reviews · doi:10.1016/j.arr.2026.103229
Bao, Y., Ji, Y.-Q., Wang, L., Zhou, Y., Wang, F., Shen, D.-M., Pylypenko, D., Tong, Q., Mak, K.-F., & Guo, L. (2026) · European Radiology Experimental · doi:10.1186/s41747-026-00776-1
Lin, K., Sachdev, P. S., Jiang, J., & Initiative, A. D. N. (2026) · Brain Imaging and Behavior · doi:10.1007/s11682-026-01187-x
Xu, J., Wang, Y., Zhang, X., Zhou, Z., Li, Z.-M., Chen, H., Cai, Q., Tang, W., Hua, H.-Z., Liu, T., et al. (2026) · Journal of the Formosan Medical Association · doi:10.1016/j.jfma.2026.08.049
Ba, W., Bao, C., Gong, Y., Liu, Z., Yang, J., Li, Y., & Initiative, A. D. N. (2026) · Journal of Alzheimer s Disease · doi:10.1177/13872877261482151
Progression of White Matter Hyperintensities in older adults: A systematic review and meta-analysis
Liu, J., & Raz, N. (2026) · Ageing Research Reviews · doi:10.1016/j.arr.2026.103393
Mohammadi, S., Sharbafshaaer, M., Pirozzi, M. A., Trojsi, F., Ghaderi, S., Iturria‐Medina, Y., & Fereshtehnejad, S.-M. (2026) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2026.2005174
- Authors
- Cha, W.-J., Yi, D., Ahn, H., Byun, M. S., Chang, Y. Y., Choi, J.-M., Kim, K., Choi, H., Jung, G., Kang, K. M., Sohn, C.-H., Lee, Y.-S., Kim, Y. K., & Lee, D. Y.
- Affiliations
- Seoul National University (KR)
- Inje University Sanggye Paik Hospital (KR)
- Corresponding author
- Lee, Dong Young
- ORCID
- Venue
- Alzheimer's Research & Therapy
- Published
- 2024-03-07
- Volume
- 16
- Issue
- 1
- Pages
- 50-50
- ISSN
- 1758-9193 (ISSN-L)
- PMC
- PMC10918927
- OpenAlex
- W4392557809
- Cited by
- 20
- References
- 48
- Citations by year
- 2026: 9 · 2025: 10 · 2024: 1
- FWCI
- 5.85
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Alzheimer s Research & Therapy (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Ministry of Science, ICT, and Future Planning, Republic of Korea (NRF-2014M3C7A1046042 & NRF-2020R1G1A1099652)
- Korea Health Technology R&D Project through the Korea Health Industry Development Institute (KHIDI), funded by the Ministry of Health & Welfare, Republic of Korea (HI18C0630 & HI19C0149)
- National Institute of Aging, United States of America (U01AG072177)
- 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 › Neurology › Cerebrovascular and genetic disorders
- Keywords
- white matter hyperintensities, amyloid-beta deposition, tau deposition, Alzheimer's disease, white matter degeneration, longitudinal change, sex differences, FLAIR, preclinical Alzheimer's disease
- MeSH terms
- Aged, Alzheimer Disease, Brain, Female, Humans, Magnetic Resonance Imaging, Male, Amyloid beta-Peptides, Cognitive Dysfunction, White Matter
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