White matter hyperintensities are a core feature of Alzheimer’s disease: evidence from the dominantly inherited Alzheimer network
Open accessAbstract
OBJECTIVE: White matter hyperintensities (WMHs) are areas of increased signal on T2-weighted magnetic resonance imaging (MRI) scans that most commonly reflect small vessel cerebrovascular disease. Increased WMH volume is associated with risk and progression of Alzheimer's disease (AD). These observations are typically interpreted as evidence that vascular abnormalities play an additive, independent role contributing to symptom presentation, but not core features of AD. We examined the severity and distribution of WMH in presymptomatic PSEN1, PSEN2, and APP mutation carriers to determine the extent to which WMH manifest in individuals genetically determined to develop AD. METHODS: The study comprised participants (n = 299; age = 39.03 ± 10.13) from the Dominantly Inherited Alzheimer Network, including 184 (61.5%) with a mutation that results in AD and 115 (38.5%) first-degree relatives who were noncarrier controls. We calculated the estimated years from expected symptom onset (EYO) by subtracting the affected parent's symptom onset age from the participant's age. Baseline MRI data were analyzed for total and regional WMH. Mixed-effects piece-wise linear regression was used to examine WMH differences between carriers and noncarriers with respect to EYO. RESULTS: Mutation carriers had greater total WMH volumes, which appeared to increase approximately 6 years before expected symptom onset. Effects were most prominent for the parietal and occipital lobe, which showed divergent effects as early as 22 years before estimated onset. INTERPRETATION: Autosomal-dominant AD is associated with increased WMH well before expected symptom onset. The findings suggest the possibility that WMHs are a core feature of AD, a potential therapeutic target, and a factor that should be integrated into pathogenic models of the disease. Ann Neurol 2016;79:929-939.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
WMHs often occur prior to the presence of amyloid-β plaques in preclinical AD.
“findings from previous studies have also shown that WMHs often occur prior to the presence of amyloid-β plaques in preclinical AD [19,20,21]”
From Amyloid-PET and White Matter Hyperintensities Have Independent Effects on Baseline Cognitive Function and Synergistic Effects on Longitudinal Executive Function (2023) · cites this paper as [19]
The Results and Discussion (page not available in our copy) place global WMH increases after detectable CSF amyloid abnormalities, with posterior WMH increases occurring at about the same time—not before. The study does not directly establish when amyloid-β plaques first appear, so its biomarker findings do not support the claimed plaque sequence. (LLM, conf=0.77)
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measuredWhite matter microstructural changes may be not only a marker of small vessel injury but also directly related to AD pathology.
“Emerging evidence suggests that white matter microstructural changes may be not only a marker of small vessel injury but also directly related to AD pathology. 53 , 54”
From White matter hyperintensity modulates the amyloid‐tau‐cognition association and anti‐amyloid treatment efficacy in asymptomatic older adults (2025) · cites this paper as [53]
The Discussion describes white matter hyperintensities (WMH) as markers of small-vessel cerebrovascular disease and reports that WMH and beta-amyloid pathology appear related in people with dominantly inherited AD. The claim is broader than the evidence in this paper: it concerns white matter microstructural changes generally, whereas this study examined MRI-visible WMH and says their precise pathological correlates require further research. Our copy provides no page numbers for these passages. (LLM, conf=0.82)
Experimental — accuracy not yet measuredWMHs are an MRI detectable marker of white matter changes due to microvascular pathology and are increased in autosomal-dominant Alzheimer's disease.
“WMHs are considered an MRI detectable marker of white matter changes due to microvascular pathology, and are increased in autosomal-dominant Alzheimer’s disease (Lee et al., 2016).”
From White matter diffusion alterations precede symptom onset in autosomal dominant Alzheimer’s disease (2018) · cites this paper as Lee et al., 2016
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Robust Locally Weighted Regression and Smoothing Scatterplots
Cleveland, W. S. (1979) · Journal of the American Statistical Association · doi:10.1080/01621459.1979.10481038 · Cited by 11,594 · see citing works
Jack, 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 · see citing works
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 · see citing works
Gorelick, P. B., Scuteri, A., Black, S. E., DeCarli, C., Greenberg, S. M., Iadecola, C., Launer, L. J., Laurent, S., Lopez, O. L., Nyenhuis, D., et al. (2011) · Stroke · doi:10.1161/str.0b013e3182299496 · Cited by 3,811 · see citing works
Pantoni, L. (2010) · The Lancet Neurology · doi:10.1016/s1474-4422(10)70104-6 · Cited by 3,405 · see citing works
Neurovascular pathways to neurodegeneration in Alzheimer’s disease and other disorders
Zlokovic, B. V. (2011) · Nature Reviews Neuroscience · doi:10.1038/nrn3114 · Cited by 2,969 · see citing works
Regional Brain Changes in Aging Healthy Adults: General Trends, Individual Differences and Modifiers
Raz, N., Lindenberger, U., Rodrigue, K. M., Kennedy, K. M., Head, D., Williamson, A., Dahle, C., Gerstorf, D., & Acker, J. D. (2005) · Cerebral Cortex · doi:10.1093/cercor/bhi044 · Cited by 2,875 · see citing works
Debette, S., & Markus, H. S. (2010) · BMJ · doi:10.1136/bmj.c3666 · Cited by 2,328 · see citing works
Mixed brain pathologies account for most dementia cases in community-dwelling older persons
Schneider, J. A., Arvanitakis, Z., Bang, W., & Bennett, D. A. (2007) · Neurology · doi:10.1212/01.wnl.0000271090.28148.24 · Cited by 1,992 · see citing works
Primary age-related tauopathy (PART): a common pathology associated with human aging
Crary, J. F., Trojanowski, J. Q., Schneider, J. A., Abisambra, J. F., Abner, E. L., Alafuzoff, I., Arnold, S. E., Attems, J., Beach, T. G., Bigio, E. H., et al. (2014) · Acta Neuropathologica · doi:10.1007/s00401-014-1349-0 · Cited by 1,467 · see citing works
Alternative Transformations to Handle Extreme Values of the Dependent Variable
Burbidge, J. B., Magee, L., & Robb, A. L. (1988) · Journal of the American Statistical Association · doi:10.1080/01621459.1988.10478575 · Cited by 1,425 · see citing works
Neuropathology of older persons without cognitive impairment from two community-based studies
Bennett, D. A., Schneider, J. A., Arvanitakis, Z., Kelly, J. F., Aggarwal, N. T., Shah, R. C., & Wilson, R. S. (2006) · Neurology · doi:10.1212/01.wnl.0000219668.47116.e6 · Cited by 1,336 · see citing works
White 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
Frequent amyloid deposition without significant cognitive impairment among the elderly
Aizenstein, H. J., Nebes, R. D., Saxton, J. A., Price, J. C., Mathis, C. A., Tsopelas, N. D., Ziolko, S. K., James, J. A., Snitz, B. E., Houck, P. R., et al. (2008) · Archives of Neurology · doi:10.1001/archneur.65.11.1509 · Cited by 1,059 · see citing works
Clinical diagnosis of cerebral amyloid angiopathy: validation of the Boston criteria
Knudsen, K. A., Rosand, J., Karluk, D., & Greenberg, S. M. (2001) · Neurology · doi:10.1212/wnl.56.4.537 · Cited by 1,015 · see citing works
What are White Matter Hyperintensities Made of?
Wardlaw, J. M., Hernández, M. C. V., & Maniega, S. M. (2015) · Journal of the American Heart Association · doi:10.1161/jaha.114.001140 · Cited by 902 · see citing works
MR‐based hippocampal volumetry in the diagnosis of Alzheimer's disease
Jack, C. R., Petersen, R. C., O’Brien, P. C., & Tangalos, E. G. (1992) · Neurology · doi:10.1212/wnl.42.1.183 · Cited by 878 · see citing works
DeCarli, C., Massaro, J., Harvey, D., Hald, J., Tullberg, M., Au, R., Beiser, A., D’Agostino, R., & Wolf, P. A. (2005) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2004.05.004 · Cited by 680 · see citing works
The Neuropathology of Chronic Traumatic Encephalopathy
McKee, A. C., Stein, T. D., Kiernan, P. T., & Alvarez, V. E. (2015) · Brain Pathology · doi:10.1111/bpa.12248 · Cited by 585 · see citing works
Symptom onset in autosomal dominant Alzheimer disease: A systematic review and meta-analysis
Ryman, D. C., Acosta-Baena, N., Aisen, P. S., Bird, T., Danek, A., Fox, N. C., Goate, A., Frommelt, P., Ghetti, B., Langbaum, J. B. S., et al. (2014) · Neurology · doi:10.1212/wnl.0000000000000596 · Cited by 502 · see citing works
Update on the Magnetic Resonance Imaging core of the Alzheimer's Disease Neuroimaging Initiative
Jack, C. R., Bernstein, M. A., Borowski, B., Gunter, J. L., Fox, N. C., Thompson, P. M., Schuff, N. W., Krüger, G., Killiany, R., DeCarli, C. S., et al. (2010) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2010.03.004 · Cited by 379 · see citing works
Clinical Dementia Rating training and reliability in multicenter studies
Morris, J. C., Ernesto, C., Schafer, K. A., Coats, M. A., Leon, S. A., Sano, M. C., Thal, L. J., & Woodbury, P. (1997) · Neurology · doi:10.1212/wnl.48.6.1508 · Cited by 376 · see citing works
Reddy, P. H. (2011) · Brain Research · doi:10.1016/j.brainres.2011.07.052 · Cited by 300 · see citing works
Vascular and amyloid pathologies are independent predictors of cognitive decline in normal elderly
Vemuri, P., Lesnick, T. G., Przybelski, S. A., Knopman, D. S., Preboske, G. M., Kantarci, K., Raman, M. R., Machulda, M. M., Mielke, M. M., Lowe, V. J., et al. (2015) · Brain · doi:10.1093/brain/awu393 · Cited by 299 · see citing works
Acute and chronic traumatic encephalopathies: pathogenesis and biomarkers
DeKosky, S. T., Blennow, K., Ikonomović, M. D., & Gandy, S. (2013) · Nature Reviews Neurology · doi:10.1038/nrneurol.2013.36 · Cited by 270 · see citing works
Brickman, A. M., Zahodne, L. B., Guzman, V. A., Narkhede, A., Meier, I. B., Griffith, E. Y., Provenzano, F. A., Schupf, N., Manly, J. J., Stern, Y., et al. (2014) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2014.07.019 · Cited by 253 · see citing works
Brickman, A. M., Provenzano, F. A., Muraskin, J., Manly, J. J., Blum, S., Apa, Z. L., Stern, Y., Brown, T. R., Luchsinger, J. A., & Mayeux, R. P. (2012) · Archives of Neurology · doi:10.1001/archneurol.2012.1527 · Cited by 252 · see citing works
Neuropathologic basis of white matter hyperintensity accumulation with advanced age
Erten‐Lyons, D., Woltjer, R. L., Kaye, J. A., Mattek, N., Dodge, H. H., Green, S., Tran, H. T. D., Howieson, D. B., Wild, K. V., & Silbert, L. C. (2013) · Neurology · doi:10.1212/wnl.0b013e3182a43e45 · Cited by 222 · see citing works
Behrendt, G., Baer, K., Buffo, A., Curtis, M. A., Faull, R. L., Rees, M. I., Götz, M., & Dimou, L. (2013) · Glia · doi:10.1002/glia.22432 · Cited by 219 · see citing works
Morris, J. C., Aisen, P. S. S., Bateman, R. J., Benzinger, T. L. S., Cairns, N. J., Fagan, A. M., Ghetti, B. F., Goate, A., Holtzman, D. M., Klunk, W. E., et al. (2012) · Clinical Investigation · doi:10.4155/cli.12.93 · Cited by 205 · see citing works
White, L. (2009) · Journal of Alzheimer's Disease · doi:10.3233/jad-2009-1178 · Cited by 193 · see citing works
Multiethnic Genome-Wide Association Study of Cerebral White Matter Hyperintensities on MRI
Verhaaren, B. F. J., Debette, S., Bis, J. C., Smith, J. A., Ikram, M. A., Adams, H. H. H., Beecham, A. H., Rajan, K. B., Lopez, L. M., Barral, S., et al. (2015) · Circulation Cardiovascular Genetics · doi:10.1161/circgenetics.114.000858 · Cited by 178 · see citing works
Gurol, M. E., Viswanathan, A., Gidicsin, C. M., Hedden, T., Martínez‐Ramírez, S., Dumas, A. P., Vashkevich, A., Ayres, A. M., Auriel, E., van Etten, E. S., et al. (2012) · Annals of Neurology · doi:10.1002/ana.23830 · Cited by 159 · see citing works
White matter hyperintensities predict amyloid increase in Alzheimer's disease
Grimmer, T., Faust, M., Auer, F., Alexopoulos, P., Förstl, H., Henriksen, G., Perneczky, R., Sorg, C., Yousefi, B. H., Drzezga, A. E., et al. (2012) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2012.01.016 · Cited by 139 · see citing works
Contemplating Alzheimer’s Disease and the Contribution of White Matter Hyperintensities
Brickman, A. M. (2013) · Current Neurology and Neuroscience Reports · doi:10.1007/s11910-013-0415-7 · Cited by 136 · see citing works
Sun, S.-W., Song, S.-K., Harms, M. P., Lin, S.-J., Holtzman, D. M., Merchant, K. M., & Kotyk, J. J. (2005) · Experimental Neurology · doi:10.1016/j.expneurol.2004.09.006 · Cited by 121 · see citing works
Posterior white matter disease distribution as a predictor of amyloid angiopathy
Thanprasertsuk, S., Martínez‐Ramírez, S., Pontes‐Neto, O. M., Ni, J., Ayres, A. M., Reed, A. K., Swords, K. E., Gurol, M. E., Greenberg, S. M., & Viswanathan, A. (2014) · Neurology · doi:10.1212/wnl.0000000000000732 · Cited by 119 · see citing works
The effect of white matter hyperintensities on neurodegeneration in mild cognitive impairment
Tosto, G., Zimmerman, M. E., Hamilton, J. L., Carmichael, O. T., Brickman, A. M., & Initiative, A. D. N. (2015) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2015.05.014 · Cited by 112 · see citing works
Pathological Correlates of White Matter Hyperintensities on Magnetic Resonance Imaging
Shim, Y. S., Yang, D. W., Roe, C. M., Coats, M. A., Benzinger, T. L. S., Xiong, C., Galvin, J. E., Cairns, N. J., & Morris, J. C. (2014) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000366411 · Cited by 102 · see citing works
Cerebral autoregulation, beta amyloid, and white matter hyperintensities are interrelated
Brickman, A. M., Guzman, V. A., Gonzalez-Castellon, M., Razlighi, Q. R., Gu, Y., Narkhede, A., Janicki, S. C., Ichise, M., Stern, Y., Manly, J. J., et al. (2015) · Neuroscience Letters · doi:10.1016/j.neulet.2015.03.005 · Cited by 93 · see citing works
Leuba, G., & Kraftsik, R. (1994) · Neurobiology of Aging · doi:10.1016/0197-4580(94)90142-2 · Cited by 88 · see citing works
Cairns, N. J., Perrin, R. J., Franklin, E. E., Carter, D., Vincent, B., Xie, M., Bateman, R. J., Benzinger, T., Friedrichsen, K., Brooks, W. S., et al. (2015) · Neuropathology · doi:10.1111/neup.12205 · Cited by 86 · see citing works
Collins-Praino, L. E., Francis, Y. I., Griffith, E. Y., Wiegman, A. F., Urbach, J., Lawton, A., Honig, L. S., Cortes, E., Vonsattel, J. P. G., Canoll, P. D., et al. (2014) · Acta Neuropathologica Communications · doi:10.1186/s40478-014-0083-0 · Cited by 79 · see citing works
Zhou, Y., Yu, F. F., Duong, T. Q., & Initiative, A. D. N. (2013) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.24550 · Cited by 76 · see citing works
SELECTING THE NUMBER OF CHANGE-POINTS IN SEGMENTED LINE REGRESSION.
Kim, H. J., Yu, B., & Feuer, E. J. (2009) · PubMed · Cited by 74 · see citing works
Ryan, N. S., Biessels, G. J., Kim, L. G., Nicholas, J. M., Barber, P. A., Walsh, P., Gami‐Patel, P., Morris, H. R., de Bastos-Leite, A. J., Schott, J. M., et al. (2015) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2015.08.026 · Cited by 71 · see citing works
Brendza, R. P., O'Brien, C., Simmons, K. A., McKeel, D. W., Bales, K. R., Paul, S. M., Olney, J. W., Sanes, J. R., & Holtzman, D. M. (2003) · The Journal of Comparative Neurology · doi:10.1002/cne.10536 · Cited by 59 · see citing works
Takao, M., Ghetti, B. F., Murrell, J. R., Unverzagt, F. W., Giaccone, G., Tagliavini, F., Bugiani, O., Piccardo, P., Hulette, C. M., Crain, B. J., et al. (2001) · Journal of Neuropathology & Experimental Neurology · doi:10.1093/jnen/60.12.1137 · Cited by 50 · see citing works
Lindemer, E., Salat, D. H., Smith, E. E., Nguyen, K., Fischl, B. R., & Greve, D. N. (2015) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2015.05.011 · Cited by 49 · see citing works
McZgee, V. E., & Carleton, W. T. (1970) · Journal of the American Statistical Association · doi:10.1080/01621459.1970.10481147 · Cited by 46 · see citing works
Inference for the Break Point in Segmented Regression with Application to Longitudinal Data
Piepho, H., & Ogutu, J. O. (2003) · Biometrical Journal · doi:10.1002/bimj.200390035 · Cited by 32 · see citing works
Flagged first, then by citations
Research works printed but not linked: 1
- [10]Cairns NJ Perrin RJ Franklin EE Neuropathologic assessment of participants in two multi-center longitudinal observational studies: The Alzheimer Disease Neuroimaging Initiative (ADNI) and the Dominantly Inherited Alzheimer Network (DIAN) Neuropathology 2015 8 35 4 390 400 25964057 PMC4521391
Cited by
Sorted by citations
White matter changes in Alzheimer’s disease: A focus on myelin and oligodendrocytes
Nasrabady, S. E., Rizvi, B., Goldman, J. E., & Brickman, A. M. (2018) · Acta Neuropathologica Communications · doi:10.1186/s40478-018-0515-3 · Cited by 723 · see citing works
Vascular dysfunction—The disregarded partner of Alzheimer's disease
Sweeney, M. D., Montagne, A., Sagare, A. P., Nation, D. A., Schneider, L. S., Chui, H. C., Harrington, M. G., Pa, J., Law, M., Wang, D. J. J., et al. (2019) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2018.07.222 · Cited by 711 · see citing works
Babulal, G. M., Quiroz, Y. T., Albensi, B. C., Arenaza‐Urquijo, E., Astell, A. J., Babiloni, C., Bahar‐Fuchs, A., Bell, J., Bowman, G. L., Brickman, A. M., et al. (2019) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2018.09.009 · Cited by 528 · see citing works
White matter aging drives microglial diversity
Safaiyan, S., Besson-Girard, S., Kaya, T., Cantuti-Castelvetri, L., Liu, L., Ji, H., Schifferer, M., Gouna, G., Usifo, F., Kannaiyan, N., et al. (2021) · Neuron · doi:10.1016/j.neuron.2021.01.027 · Cited by 477 · see citing works
Alber, J., Alladi, S., Bae, H., Barton, D. A., Beckett, L. A., Bell, J. M., Berman, S. E., Biessels, G. J., Black, S. E., Bos, I., et al. (2019) · Alzheimer s & Dementia Translational Research & Clinical Interventions · doi:10.1016/j.trci.2019.02.001 · Cited by 440 · see citing works
White matter and cognition: making the connection
Filley, C. M., & Fields, R. D. (2016) · Journal of Neurophysiology · doi:10.1152/jn.00221.2016 · Cited by 445 · see citing works
Yin, F. (2023) · The FEBS Journal · doi:10.1111/febs.16344 · Cited by 441 · see citing works
Sadick, J. S., O’Dea, M. R., Hasel, P., Dykstra, T., Faustin, A., & Liddelow, S. A. (2022) · Neuron · doi:10.1016/j.neuron.2022.03.008 · Cited by 415 · see citing works
Sen, A., Jetté, N., Masud Husain, B., & Sander, J. W. A. S. (2020) · The Lancet · doi:10.1016/s0140-6736(19)33064-8 · Cited by 378 · see citing works
Alzheimer's disease associated with Down syndrome: a genetic form of dementia
Fortea, J., Zaman, S. H., Hartley, S., Rafii, M. S., Head, E., & Carmona-Iragui, M. (2021) · The Lancet Neurology · doi:10.1016/s1474-4422(21)00245-3 · Cited by 357 · see citing works
Zhan, X.-H., Stamova, B., & Sharp, F. (2018) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2018.00042 · Cited by 335 · see citing works
Beyond the neuron–cellular interactions early in Alzheimer disease pathogenesis
Henstridge, C. M., Hyman, B. T., & Spires-Jones, T. L. (2019) · Nature Reviews Neuroscience · doi:10.1038/s41583-018-0113-1 · Cited by 348 · see citing works
Montagne, A., Nikolakopoulou, A. M., Zhao, Z., Sagare, A. P., Si, G., Lazic, D., Barnes, S. R., Daianu, M., Ramanathan, A., Go, A., et al. (2018) · Nature Medicine · doi:10.1038/nm.4482 · Cited by 344 · see citing works
RetractedVascular Cognitive Impairment (VCI)
Rundek, T., Tolea, M. I., Ariko, T., Fagerli, E. A., & Camargo, C. J. (2021) · Neurotherapeutics · doi:10.1007/s13311-021-01170-y · Cited by 325 · see citing works
The human connectome in Alzheimer disease — relationship to biomarkers and genetics
Yu, M., Sporns, O., & Saykin, A. J. (2021) · Nature Reviews Neurology · doi:10.1038/s41582-021-00529-1 · Cited by 265 · see citing works
Self-citationElahi, F. M., Casaletto, K. B., Joie, R. L., Walters, S. M., Harvey, D. J., Wolf, A. A., Edwards, L., Contreras, W. R., Karydas, A., Cobigo, Y., et al. (2019) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2019.09.004 · Cited by 250 · see citing works
Homeostasis and metabolism of iron and other metal ions in neurodegenerative diseases
Chen, L., Shen, Q., Liu, Y., Zhang, Y., Sun, L., Ma, X., Song, N., & Xie, J. (2025) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-024-02071-0 · Cited by 271 · see citing works
The increasing impact of cerebral amyloid angiopathy: essential new insights for clinical practice
Banerjee, G., Carare, R. O., Cordonnier, C., Greenberg, S. M., Schneider, J. A., Smith, E. E., van Buchem, M. A., van der Grond, J., Verbeek, M. M., & Werring, D. J. (2017) · Journal of Neurology Neurosurgery & Psychiatry · doi:10.1136/jnnp-2016-314697 · Cited by 242 · see citing works
Advances in Understanding the Pathophysiology of Lacunar Stroke
Regenhardt, R. W., Das, A. S., Lo, E. H., & Caplan, L. R. (2018) · JAMA Neurology · doi:10.1001/jamaneurol.2018.1073 · Cited by 237 · see citing works
Common genetic variation influencing human white matter microstructure
Zhao, B., Li, T., Yang, Y., Wang, X., Luo, T., Shan, Y., Zhu, Z., Xiong, D., Hauberg, M. E., Bendl, J. M., et al. (2021) · Science · doi:10.1126/science.abf3736 · Cited by 217 · see citing works
Cognitive impact of COVID-19: looking beyond the short term
Miners, J. S., Kehoe, P. G., & Love, S. (2020) · Alzheimer s Research & Therapy · doi:10.1186/s13195-020-00744-w · Cited by 248 · see citing works
Emerging Concepts in Vascular Dementia: A Review
Bir, S. C., Khan, M. W., Javalkar, V., Toledo, E. G., & Kelley, R. E. (2021) · Journal of Stroke and Cerebrovascular Diseases · doi:10.1016/j.jstrokecerebrovasdis.2021.105864 · Cited by 230 · see citing works
Genome-wide association study of MRI markers of cerebral small vessel disease in 42,310 participants
Persyn, E., Hanscombe, K. B., Howson, J. M. M., Lewis, C. M., Traylor, M., & Markus, H. S. (2020) · Nature Communications · doi:10.1038/s41467-020-15932-3 · Cited by 214 · see citing works
Nemes-Baran, A. D., White, D. R., & DeSilva, T. M. (2020) · Cell Reports · doi:10.1016/j.celrep.2020.108047 · Cited by 196 · see citing works
White matter diffusion alterations precede symptom onset in autosomal dominant Alzheimer’s disease
Araque Caballero, M. Á., Suárez-Calvet, M., Duering, M., Franzmeier, N., Benzinger, T., Fagan, A. M., Bateman, R. J., Jack, C. R., Levin, J., Dichgans, M., et al. (2018) · Brain · doi:10.1093/brain/awy229 · Cited by 179 · see citing works
“WMHs are considered an MRI detectable marker of white matter changes due to microvascular pathology, and are increased in autosomal-dominant Alzheimer’s disease (Lee et al., 2016).”
BackgroundHabes, M., Pomponio, R., Shou, H., Doshi, J., Mamourian, E., Erus, G., Nasrallah, I., Launer, L. J., Rashid, T., Bilgel, M., et al. (2021) · Alzheimer's & Dementia · doi:10.1002/alz.12178 · Cited by 173 · 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
Apoε4 disrupts neurovascular regulation and undermines white matter integrity and cognitive function
Koizumi, K., Hattori, Y., Ahn, S. J., Buendia, I., Ciacciarelli, A., Uekawa, K., Wang, G., Hiller, A., Zhao, L., Voss, H. U., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-06301-2 · Cited by 179 · see citing works
A global view of the genetic basis of Alzheimer disease
Reitz, C., Pericak-Vance, M., Foroud, T., & Mayeux, R. (2023) · Nature Reviews Neurology · doi:10.1038/s41582-023-00789-z · Cited by 143 · see citing works
Atrophy subtypes in prodromal Alzheimer’s disease are associated with cognitive decline
ten Kate, M., Dicks, E., Visser, P. J., van der Flier, W. M., Teunissen, C. E., Barkhof, F., Scheltens, P., Tijms, B. M., & Initiative, A. D. N. (2018) · Brain · doi:10.1093/brain/awy264 · Cited by 150 · see citing works
Dahl, M. J., Mather, M., Werkle‐Bergner, M., Kennedy, B. L., Guzman, S. J., Hurth, K. M., Miller, C. A., Qiao, Y., Shi, Y., Chui, H. C., et al. (2021) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2021.11.006 · Cited by 140 · see citing works
Habes, M., Sotiras, A., Erus, G., Toledo, J. B., Janowitz, D., Wolk, D. A., Shou, H., Bryan, R. N., Doshi, J. J., Völzke, H., et al. (2018) · Neurology · doi:10.1212/wnl.0000000000006116 · Cited by 143 · see citing works
Objective subtle cognitive difficulties predict future amyloid accumulation and neurodegeneration
Thomas, K. R., Bangen, K. J., Weigand, A. J., Edmonds, E. C., Wong, C. G., Cooper, S., Delano‐Wood, L., Bondi, M. W., & Initiative, A. D. N. (2019) · Neurology · doi:10.1212/wnl.0000000000008838 · Cited by 140 · see citing works
White matter hyperintensities in Alzheimer's disease: Beyond vascular contribution
Garnier‐Crussard, A., Cotton, F., Krolak‐Salmon, P., & Chételat, G. (2023) · Alzheimer's & Dementia · doi:10.1002/alz.13057 · Cited by 139 · see citing works
Dementia risk and prevention by targeting modifiable vascular risk factors
Tariq, S., & Barber, P. A. (2017) · Journal of Neurochemistry · doi:10.1111/jnc.14132 · Cited by 135 · 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
van den Berg, E., Geerlings, M. I., Biessels, G. J., Nederkoorn, P. J., & Kloppenborg, R. P. (2018) · Journal of Alzheimer s Disease · doi:10.3233/jad-170573 · Cited by 133 · see citing works
Martins, R. N., Villemagne, V., Sohrabi, H. R., Chatterjee, P., Shah, T. M., Verdile, G., Fraser, P., Taddei, K., Gupta, V. B., Rainey-Smith, S. R., et al. (2018) · Journal of Alzheimer’s Disease · doi:10.3233/jad-171145 · Cited by 129 · see citing works
Causes and consequences of baseline cerebral blood flow reductions in Alzheimer’s disease
Bracko, O., Hernández, J. C. C., Park, L., Nishimura, N., & Schaffer, C. B. (2021) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1177/0271678x20982383 · Cited by 122 · see citing works
Evaluation of Ocular Perfusion in Alzheimer’s Disease Using Optical Coherence Tomography Angiography
Lahme, L., Esser, E. L., Mihailovic, N., Schubert, F., Lauermann, J. L., Johnen, A., Eter, N., Duning, T., & Alnawaiseh, M. (2018) · Journal of Alzheimer s Disease · doi:10.3233/jad-180738 · Cited by 124 · see citing works
The effect of white matter hyperintensities on cognition is mediated by cortical atrophy
Rizvi, B. M., Narkhede, A., Last, B. S., Budge, M., Tosto, G., Manly, J. J., Schupf, N., Mayeux, R. P., & Brickman, A. M. (2017) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2017.12.006 · Cited by 123 · see citing works
Llorens, F., Hermann, P., Villar‐Piqué, A., Lucena, D. D., Nägga, K., Hansson, O., Santana, I. J., Schmitz, M., Schmidt, C., Varges, D., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-14373-2 · Cited by 114 · see citing works
Bangen, K. J., Werhane, M. L., Weigand, A. J., Edmonds, E. C., Delano‐Wood, L., Thomas, K. R., Nation, D. A., Evangelista, N. D., Clark, A. L., Liu, T. T., et al. (2018) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2018.00270 · Cited by 114 · see citing works
COVID-19 and Alzheimer’s Disease
Ciaccio, M., Sasso, B. L., Scazzone, C., Gambino, C. M., Ciaccio, A. M., Bivona, G., Piccoli, T., Giglio, R. V., & Agnello, L. (2021) · Brain Sciences · doi:10.3390/brainsci11030305 · Cited by 111 · see citing works
Dadar, M., Pascoal, T. A., Manitsirikul, S., Misquitta, K., Fonov, V., Tartaglia, M. C., Breitner, J. C. S., Rosa‐Neto, P., Carmichael, O. T., DeCarli, C. S., et al. (2017) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2017.2693978 · Cited by 108 · see citing works
Alosco, M. L., Stein, T. D., Tripodis, Y., Chua, A. S., Kowall, N. W., Huber, B. R., Goldstein, L. E., Cantu, R. C., Katz, D. I., Palmisano, J. N., et al. (2019) · JAMA Neurology · doi:10.1001/jamaneurol.2019.2244 · Cited by 107 · see citing works
Interplay between Brain Pericytes and Endothelial Cells in Dementia
Procter, T. V., Williams, A., & Montagne, A. (2021) · The American Journal of Pathology · doi:10.1016/j.ajpath.2021.07.003 · Cited by 106 · see citing works
White matter hyperintensities are common in midlife and already associated with cognitive decline
d’Arbeloff, T. C., Elliott, M. L., Knodt, A. R., Melzer, T. R., Keenan, R. J., Ireland, D. R., Ramrakha, S., Poulton, R., Anderson, T., Caspi, A., et al. (2019) · Brain Communications · doi:10.1093/braincomms/fcz041 · Cited by 105 · see citing works
Jiang, J., Liu, T., Zhu, W., Koncz, R., Liu, H., Lee, T., Sachdev, P. S., & Wen, W. X. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.03.050 · Cited by 98 · see citing works
Lee, S., Zimmerman, M. E., Narkhede, A., Nasrabady, S. E., Tosto, G., Meier, I. B., Benzinger, T. L. S., Marcus, D. S., Fagan, A. M., Fox, N. C., et al. (2018) · PLoS ONE · doi:10.1371/journal.pone.0195838 · Cited by 100 · see citing works
Phuah, C., Chen, Y., Strain, J. F., Yechoor, N., Laurido-Soto, O., Ances, B. M., Lee, J., & Initiative, A. D. N. (2022) · Neurology · doi:10.1212/wnl.0000000000201186 · Cited by 98 · see citing works
Staffaroni, A., Elahi, F., McDermott, D., Marton, K., Karageorgiou, E., Sacco, S., Paoletti, M., Caverzasi, E., Hess, C., Rosen, H., et al. (2017) · Seminars in Neurology · doi:10.1055/s-0037-1608808 · Cited by 91 · see citing works
Blood will out: vascular contributions to Alzheimer’s disease
Strickland, S. (2018) · Journal of Clinical Investigation · doi:10.1172/jci97509 · Cited by 92 · 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
Role of Notch signaling in neurovascular aging and Alzheimer’s disease
Kapoor, A., & Nation, D. A. (2020) · Seminars in Cell and Developmental Biology · doi:10.1016/j.semcdb.2020.12.011 · Cited by 93 · see citing works
Associations of White Matter Hyperintensities with Cognitive Decline: A Longitudinal Study
Wang, Y.-L., Chen, W., Cai, W.-J., Hu, H., Xu, W., Wang, Z.-T., Cao, X.-P., Tan, L., Yu, J.-T., & Initiative, A. D. N. (2020) · Journal of Alzheimer’s Disease · doi:10.3233/jad-191005 · Cited by 92 · see citing works
Kellar, D., Lockhart, S. N., Aisen, P. S. S., Raman, R., Rissman, R. A., Brewer, J. B., & Craft, S. (2021) · The Journal of Prevention of Alzheimer s Disease · doi:10.14283/jpad.2021.14 · Cited by 91 · see citing works
Association of White Matter Hyperintensities and Cardiovascular Disease
Moroni, F., Ammirati, E., Hainsworth, A. H., & Camici, P. G. (2020) · Circulation Cardiovascular Imaging · doi:10.1161/circimaging.120.010460 · Cited by 89 · see citing works
Tayler, H. M., Miners, J. S., Güzel, Ö., MacLachlan, R. A., & Love, S. (2021) · Brain Pathology · doi:10.1111/bpa.12935 · Cited by 90 · see citing works
Arfanakis, K., Evia, A. M., Leurgans, S. E., Cardoso, L. F. C., Kulkarni, A. P., Alqam, N., Lopes, L. F., Vieira, D. M., Bennett, D. A., & Schneider, J. A. (2019) · Journal of Alzheimer s Disease · doi:10.3233/jad-190687 · Cited by 89 · see citing works
Wei, K., Tran, T. T., Chu, K. C. W., Borzage, M., Braskie, M. N., Harrington, M. G., & King, K. S. (2019) · Brain and Behavior · doi:10.1002/brb3.1457 · Cited by 88 · see citing works
Levit, A., Hachinski, V., & Whitehead, S. N. (2020) · GeroScience · doi:10.1007/s11357-020-00164-6 · Cited by 89 · see citing works
The pathobiology of neurovascular aging
Santisteban, M. M., & Iadecola, C. (2025) · Neuron · doi:10.1016/j.neuron.2024.12.014 · Cited by 94 · see citing works
Is tau in the absence of amyloid on the Alzheimer’s continuum?: A study of discordant PET positivity
Weigand, A. J., Bangen, K. J., Thomas, K. R., Delano‐Wood, L., Gilbert, P. E., Brickman, A. M., Bondi, M. W., & Initiative, A. D. N. (2019) · Brain Communications · doi:10.1093/braincomms/fcz046 · Cited by 86 · see citing works
Oligodendrocytes in Alzheimer’s disease pathophysiology
Kedia, S., & Simons, M. (2025) · Nature Neuroscience · doi:10.1038/s41593-025-01873-x · Cited by 86 · see citing works
Puzo, C. J., Labriola, C., Sugarman, M. A., Tripodis, Y., Martin, B. M., Palmisano, J. N., Steinberg, E. G., Stein, T. D., Kowall, N. W., McKee, A. C., et al. (2019) · Alzheimer s Research & Therapy · doi:10.1186/s13195-019-0521-0 · Cited by 84 · 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
Alzheimer’s Disease Neuropathological Comorbidities are Common in the Younger-Old
Beach, T. G., & Malek‐Ahmadi, M. H. (2020) · Journal of Alzheimer s Disease · doi:10.3233/jad-201213 · Cited by 84 · see citing works
Cerebral Hypoperfusion and the Energy Deficit in A lzheimer's Disease
Love, S., & Miners, J. S. (2016) · Brain Pathology · doi:10.1111/bpa.12401 · Cited by 83 · see citing works
Roseborough, A. D., Saad, L., Goodman, M., Cipriano, L. E., Hachinski, V. C., & Whitehead, S. N. (2023) · Alzheimer's & Dementia · doi:10.1002/alz.12642 · Cited by 80 · see citing works
Brain amyloid and vascular risk are related to distinct white matter hyperintensity patterns
Pålhaugen, L., Sudre, C. H., Tecelao, S., Nakling, A., Almdahl, I. S., Kalheim, L. F., Cardoso, M. J., Johnsen, S. H., Rongve, A., Aarsland, D., et al. (2021) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1177/0271678x20957604 · Cited by 79 · see citing works
Rizvi, B., Lao, P. J., Chesebro, A. G., Dworkin, J. D., Amarante, E., Beato, J. M., Gutierrez, J., Zahodne, L. B., Schupf, N., Manly, J. J., et al. (2021) · JAMA Network Open · doi:10.1001/jamanetworkopen.2021.25166 · Cited by 79 · see citing works
Self-citationAlosco, M. L., Sugarman, M. A., Besser, L. M., Tripodis, Y., Martin, B. M., Palmisano, J. N., Kowall, N. W., Au, R., Mez, J., DeCarli, C. S., et al. (2018) · Journal of Alzheimer s Disease · doi:10.3233/jad-180017 · Cited by 75 · see citing works
Dadar, M., Manera, A. L., Ducharme, S., & Collins, D. L. (2022) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2021.11.007 · Cited by 78 · see citing works
White matter signal abnormalities in former National Football League players
Alosco, M. L., Koerte, I. K., Tripodis, Y., Mariani, M. L., Chua, A. S., Jarnagin, J., Rahimpour, Y., Puzo, C. J., Healy, R. C., Martin, B. M., et al. (2017) · Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring · doi:10.1016/j.dadm.2017.10.003 · Cited by 75 · see citing works
An MRI measure of degenerative and cerebrovascular pathology in Alzheimer disease
Brickman, A. M., Tosto, G., Gutierrez, J., Andrews, H., Gu, Y., Narkhede, A., Rizvi, B. M., Guzmán, V., Manly, J. J., Vonsattel, J. P., et al. (2018) · Neurology · doi:10.1212/wnl.0000000000006310 · Cited by 73 · 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
Alzheimer-Related Cerebrovascular Disease in Down Syndrome
Lao, P., Gutierrez, J., Keator, D., Rizvi, B., Banerjee, A., Igwe, K., Laing, K. K., Sathishkumar, M. T., Moni, F., Andrews, H., et al. (2020) · Annals of Neurology · doi:10.1002/ana.25905 · Cited by 65 · see citing works
Study, F. T. A., Salvadó, G., Brugulat‐Serrat, A., Sudre, C. H., Grau‐Rivera, O., Suárez‐Calvet, M., Falcón, C., Fauria, K., Cardoso, M. J., Barkhof, F., et al. (2019) · Alzheimer s Research & Therapy · doi:10.1186/s13195-018-0460-1 · Cited by 71 · see citing works
White matter injury across neurodegenerative disease
Festa, L. K., Grinspan, J. B., & Jordan‐Sciutto, K. L. (2023) · Trends in Neurosciences · doi:10.1016/j.tins.2023.11.003 · Cited by 71 · see citing works
Chronic cerebral hypoperfusion: An undefined, relevant entity
Ciacciarelli, A., Sette, G., Giubilei, F., & Orzi, F. (2020) · Journal of Clinical Neuroscience · doi:10.1016/j.jocn.2020.01.026 · Cited by 70 · see citing works
VEGFR1 and VEGFR2 in Alzheimer’s Disease
Harris, R., Miners, J. S., Allen, S. J., & Love, S. (2017) · Journal of Alzheimer s Disease · doi:10.3233/jad-170745 · Cited by 67 · see citing works
Myelin in Alzheimer’s disease: culprit or bystander?
Maitre, M., Jeltsch-David, H., Okechukwu, N. G., Klein, C., Patte-Mensah, C., & Mensah-Nyagan, A.-G. (2023) · Acta Neuropathologica Communications · doi:10.1186/s40478-023-01554-5 · Cited by 66 · see citing works
Zahodne, L. B., Mayeda, E. R., Hohman, T. J., Fletcher, E., Racine, A. M., Gavett, B. E., Manly, J. J., Schupf, N., Mayeux, R. P., Brickman, A. M., et al. (2019) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2019.08.009 · Cited by 69 · see citing works
Sugarman, M. A., Zetterberg, H., Blennow, K., Tripodis, Y., McKee, A. C., Stein, T. D., Martin, B. M., Palmisano, J. N., Steinberg, E. G., Simkin, I., et al. (2020) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2020.05.011 · Cited by 68 · see citing works
Regional hyperperfusion in older adults with objectively-defined subtle cognitive decline
Thomas, K. R., Osuna, J., Weigand, A. J., Edmonds, E. C., Clark, A. L., Holmqvist, S. L., Cota, I. H., Wierenga, C. E., Bondi, M. W., Bangen, K. J., et al. (2020) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1177/0271678x20935171 · Cited by 66 · see citing works
Walter, S., Jumpertz, T., Hüttenrauch, M., Ogorek, I., Gerber, H., Storck, S. E., Zampar, S., Dimitrov, M., Lehmann, S., Lepka, K., et al. (2019) · Acta Neuropathologica · doi:10.1007/s00401-018-1929-5 · Cited by 65 · see citing works
Park, G., Hong, J., Duffy, B. A., Lee, J. M., & Kim, H. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118140 · Cited by 64 · see citing works
Ferroptosis of Microglia in Aging Human White Matter Injury
Adeniyi, P. A., Gong, X., MacGregor, E., Degener-O’Brien, K., McClendon, E., Garcia, M., Romero, O., Russell, J., Srivastava, T., Miller, J. A., et al. (2023) · Annals of Neurology · doi:10.1002/ana.26770 · Cited by 62 · see citing works
Iron Pathophysiology in Alzheimer’s Diseases
Wang, T., Xu, S.-F., Fan, Y.-G., Li, L.-B., & Guo, C. (2019) · Advances in experimental medicine and biology · doi:10.1007/978-981-13-9589-5_5 · Cited by 64 · see citing works
Sex is a defining feature of neuroimaging phenotypes in major brain disorders
Salminen, L. E., Tubi, M. A., Bright, J. K., Thomopoulos, S. I., Wieand, A., & Thompson, P. M. (2021) · Human Brain Mapping · doi:10.1002/hbm.25438 · Cited by 61 · see citing works
Wardlaw, J. M., Benveniste, H., & Williams, A. (2021) · Annual Review of Physiology · doi:10.1146/annurev-physiol-060821-014521 · Cited by 62 · see citing works
Secondary prevention of Alzheimer’s dementia: neuroimaging contributions
ten Kate, M., Ingala, S., Schwarz, A. J., Fox, N. C., Chételat, G., van Berckel, B. N. M., Ewers, M., Foley, C., Gispert, J. D., Hill, D., et al. (2018) · Alzheimer s Research & Therapy · doi:10.1186/s13195-018-0438-z · Cited by 60 · see citing works
Lamar, M., Boots, E. A., Arfanakis, K., Barnes, L. L., & Schneider, J. A. (2020) · Neuropsychology Review · doi:10.1007/s11065-020-09460-6 · Cited by 60 · see citing works
Venous Collagenosis as Pathogenesis of White Matter Hyperintensity
Lahna, D. L., Schwartz, D. L., Woltjer, R. L., Black, S. E., Roese, N. E., Dodge, H. H., Boespflug, E. L., Keith, J. L., Gao, F., Ramirez, J., et al. (2022) · Annals of Neurology · doi:10.1002/ana.26487 · Cited by 61 · see citing works
Slow-Wave Sleep and MRI Markers of Brain Aging in a Community-Based Sample
Baril, A., Beiser, A., Mysliwiec, V., Sanchez, E., DeCarli, C. S., Redline, S. S., Gottlieb, D. J., Maillard, P., Romero, J. R., Satizábal, C. L., et al. (2020) · Neurology · doi:10.1212/wnl.0000000000011377 · Cited by 58 · see citing works
Functions and dysfunctions of oligodendrocytes in neurodegenerative diseases
Han, S.-W., Gim, Y., Jang, E., & Hur, E. (2022) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2022.1083159 · Cited by 60 · see citing works
Alzheimer’s dementia: pathogenesis and impact of cardiovascular risk factors on cognitive decline
Wanleenuwat, P., Iwanowski, P. S., & Kozubski, W. P. (2019) · Postgraduate Medicine · doi:10.1080/00325481.2019.1657776 · Cited by 57 · see citing works
Blood Pressure and Vascular Cognitive Impairment
Levine, D. A., Springer, M. V., & Brodtmann, A. G. (2022) · Stroke · doi:10.1161/strokeaha.121.036140 · Cited by 60 · see citing works
Schultz, S. A., Strain, J. F., Adedokun, A., Wang, Q., Preische, O., Kühle, J., Flores, S. E., Keefe, S., Dincer, A., Ances, B. M., et al. (2020) · Neurobiology of Disease · doi:10.1016/j.nbd.2020.104960 · Cited by 57 · see citing works
- Authors
- Lee, S., Viqar, F., Zimmerman, M. E., Narkhede, A., Tosto, G., Benzinger, T. L. S., Marcus, D. S., Fagan, A. M., Goate, A., Fox, N. C., Cairns, N. J., Holtzman, D. M., Buckles, V., Ghetti, B., McDade, E., Martins, R. N., Saykin, A. J., Masters, C. L., Ringman, J. M., Ryan, N. S., Förster, S., Laske, C., Schofield, P. R., Sperling, R. A., Salloway, S., Correia, S., Jack, C., Weiner, M., Bateman, R. J., Morris, J. C., Mayeux, R., Brickman, A. M., & for the Dominantly Inherited Alzheimer Network
- Affiliations
- New York State Psychiatric Institute (US)
- Fordham University (US)
- Albert Einstein College of Medicine (US)
- Columbia University Irving Medical Center (US)
- NewYork–Presbyterian Hospital (US)
- Washington University in St. Louis (US)
- Icahn School of Medicine at Mount Sinai (US)
- UCL Queen Square Institute of Neurology (GB)
- Indiana University Indianapolis (US)
- Edith Cowan University (AU)
- The University of Melbourne (AU)
- University of Southern California (US)
- German Center for Neurodegenerative Diseases (DE)
- UNSW Sydney (AU)
- Brigham and Women's Hospital (US)
- Brown University (US)
- Mayo Clinic (US)
- San Francisco VA Medical Center (US)
- Corresponding author
- Brickman, Adam M.
- ORCID
- Lee, Seonjoo
- Zimmerman, Molly E.
- Tosto, Giuseppe
- Benzinger, Tammie L.S.
- Marcus, Daniel S.
- Fagan, Anne M.
- Goate, Alison
- Fox, Nick C.
- Holtzman, David M.
- Ghetti, Bernardino
- McDade, Eric
- Martins, Ralph N.
- Saykin, Andrew J.
- Masters, Colin L.
- Ringman, John M.
- Ryan, Natalie S.
- Förster, Stefan
- Laske, Christoph
- Schofield, Peter R.
- Sperling, Reisa A.
- Salloway, Stephen
- Correia, Stephen
- Jack, Clifford
- Weiner, Michael
- Bateman, Randall J.
- Morris, John C.
- Mayeux, Richard
- Brickman, Adam M.
- Venue
- Annals of Neurology
- Publisher
- Wiley
- Published
- 2016-04-27
- Volume
- 79
- Issue
- 6
- Pages
- 929-939
- ISSN
- 0364-5134 (ISSN-L)
- 1531-8249
- PMC
- PMC4884146
- OpenAlex
- W2309640507
- Cited by
- 542
- References
- 51
- Citations by year
- 2026: 49 · 2025: 58 · 2024: 53 · 2023: 68 · 2022: 65 · 2021: 65 · 2020: 66 · 2019: 46 · 2018: 38 · 2017: 25 · 2016: 8
- FWCI
- 34.63
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Annals of Neurology (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- UNSWorks (UNSW Sydney) (submittedVersion, cc-by-nc-nd)
- Australasian Journal of Paramedicine (submittedVersion)
- Deep Blue (University of Michigan) (submittedVersion)
- Minerva Access (University of Melbourne) (submittedVersion)
- mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich) (submittedVersion)
- DZNE Pub (submittedVersion)
- IUScholarWorks (Indiana University) (submittedVersion)
- Purdue University Indianapolis (Indiana University) (submittedVersion)
- PMC
- Funders
- NIH/NIA (U19 AG032438, AG051348)
- NIHR Queen Square Dementia BRU
- German Center for Neurodegenerative Diseases (DZNE)
- Brain Exit Foundation Fellowship
- 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, Alzheimer's disease, autosomal dominant Alzheimer's disease, presymptomatic carriers, presenilin 1, presenilin 2, APP, cerebral small vessel disease, genetic risk
- MeSH terms
- Adult, Alzheimer Disease, Female, Heterozygote, Humans, Magnetic Resonance Imaging, Male, Peptide Fragments, Biomarkers, Case-Control Studies, Amyloid beta-Peptides, Amyloid beta-Protein Precursor, tau Proteins, Genetic Predisposition to Disease, Presenilin-1, Presenilin-2, Young Adult, Neuroimaging, White Matter
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review