Regional White Matter Hyperintensities and Alzheimer’s Disease Biomarkers Among Older Adults with Normal Cognition and Mild Cognitive Impairment
Open accessAbstract
Background: Alzheimer’s disease (AD) frequently co-occurs with other brain pathologies. Recent studies suggest there may be a mechanistic link between AD and small vessel cerebrovascular disease (CVD), as opposed to simply the overlap of two disorders. Objective: We investigated the cross-sectional relationship between white matter hyperintensity (WMH) volumes (markers of CVD) and cerebrospinal fluid (CSF) biomarkers of AD. Methods: WMH volumes were assessed globally and regionally (i.e., frontal, parietal, temporal, occipital, and limbic). CSF AD biomarkers (i.e., Aβ 40, Aβ 42, Aβ 42/Aβ 40 ratio, phosphorylated tau-181 [p-tau181], and total tau [t-tau]) were measured among 152 non-demented individuals (134 cognitively unimpaired and 18 with mild cognitive impairment (MCI)). Results: Linear regression models showed that among all subjects, higher temporal WHM volumes were associated with AD biomarkers (higher levels of p-tau181, t-tau, and Aβ 40), particularly among APOE ɛ 4 carriers (independent of Aβ 42 levels). Higher vascular risk scores were associated with greater parietal and frontal WMH volumes (independent of CSF AD biomarker levels). Among subjects with MCI only, parietal WMH volumes were associated with a lower level of Aβ 42/Aβ 40. In addition, there was an association between higher global WMH volumes and higher CSF t-tau levels among younger participants versus older ones (∼<65 versus 65+ years), independent of Aβ 42/Aβ 40 and p-tau181. Conclusion: These findings suggest that although WMH are primarily related to systemic vascular risk and neurodegeneration (i.e., t-tau), AD-specific pathways may contribute to the formation of WMH in a regionally-specific manner, with neurofibrillary tangles (i.e., p-tau) playing a role in temporal WMHs and amyloid (i.e., Aβ 42/Aβ 40) in parietal WMHs.
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?
The spatial distribution of WMH is differentially associated with amyloid pathology, vascular risks, and specific cognitive domains.
“The spatial distribution of WMH was found to be differentially associated with amyloid pathology, vascular risks, and specific cognitive domains. 18 , 19 , 64”
From White matter hyperintensity modulates the amyloid‐tau‐cognition association and anti‐amyloid treatment efficacy in asymptomatic older adults (2025) · cites this paper as [19]
The Discussion’s “Regional WMH: Distinct etiologies and risk factor associations” section links parietal or posterior WMH with amyloid and frontal WMH with vascular risk factors. The paper does not report associations between WMH distribution and specific cognitive domains; it examines cognitive status (normal cognition versus MCI) instead. Page numbers were not provided in our copy. (LLM, conf=0.88)
Experimental — accuracy not yet measured
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
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
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
“Annual consensus diagnoses are conducted for each participant by the staff of the BIOCARD Clinical Core and follow the recommendations incorporated in the National Institute of Aging/Alzheimer’s Association report for the diagnosis of MCI [34] and dementia due to AD [35].”
MethodSelf-citationThe 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 · see citing works
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 · see citing works
Sperling, R. A., Aisen, P. S., Beckett, L. A., Bennett, D. A., Craft, S., Fagan, A. M., Iwatsubo, T., Jack, C. R., Kaye, J., Montine, T. J., et al. (2011) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2011.03.003 · Cited by 7,155 · see citing works
Iliff, J. J., Wang, M., Liao, Y., Plogg, B. A., Peng, W., Gundersen, G. A., Benveniste, H., Vates, G. E., Deane, R., Goldman, S. A., et al. (2012) · Science Translational Medicine · doi:10.1126/scitranslmed.3003748 · Cited by 5,824 · see citing works
Wardlaw, J. M., Smith, E. E., Biessels, G. J., Cordonnier, C., Fazekas, F., Frayne, R., Lindley, R. I., O'Brien, J. T., Barkhof, F., Benavente, O. R., et al. (2013) · The Lancet Neurology · doi:10.1016/s1474-4422(13)70124-8 · Cited by 5,560 · 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
Braak, H., Alafuzoff, I., Arzberger, T., Kretzschmar, H., & Del Tredici, K. (2006) · Acta Neuropathologica · doi:10.1007/s00401-006-0127-z · Cited by 3,172 · 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
Impairment of paravascular clearance pathways in the aging brain
Kress, B. T., Iliff, J. J., Xia, M., Wang, M., Wei, H. S., Zeppenfeld, D., Xie, L., Kang, H., Xu, Q., Liew, J. A., et al. (2014) · Annals of Neurology · doi:10.1002/ana.24271 · Cited by 1,521 · see citing works
APOE4 leads to blood–brain barrier dysfunction predicting cognitive decline
Montagne, A., Nation, D. A., Sagare, A. P., Barisano, G., Sweeney, M. D., Chakhoyan, A., Pachicano, M., Joe, E., Nelson, A. R., D’Orazio, L. M., et al. (2020) · Nature · doi:10.1038/s41586-020-2247-3 · Cited by 1,281 · see citing works
Cerebral blood flow regulation and neurovascular dysfunction in Alzheimer disease
Kisler, K., Nelson, A. R., Montagne, A., & Zlokovic, B. V. (2017) · Nature Reviews Neuroscience · doi:10.1038/nrn.2017.48 · Cited by 1,243 · see citing works
Cerebral amyloid angiopathy and Alzheimer disease — one peptide, two pathways
Greenberg, S. M., Bacskai, B. J., Hernandez-Guillamon, M., Pruzin, J., Sperling, R., & van Veluw, S. J. (2020) · Nature Reviews Neurology · doi:10.1038/s41582-019-0281-2 · Cited by 947 · see citing works
Multi-atlas based segmentation of brain images: Atlas selection and its effect on accuracy
Aljabar, P., Heckemann, R. A., Hammers, A., Hajnal, J. V., & Rueckert, D. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.02.018 · Cited by 869 · see citing works
A human brain vascular atlas reveals diverse mediators of Alzheimer’s risk
Yang, A. C., Vest, R. T., Kern, F., Lee, D. P., Agam, M., Maat, C. A., Losada, P. M., Chen, M. B., Schaum, N., Khoury, N., et al. (2022) · Nature · doi:10.1038/s41586-021-04369-3 · Cited by 797 · see citing works
The overlap between vascular disease and Alzheimer’s disease - lessons from pathology
Attems, J., & Jellinger, K. A. (2014) · BMC Medicine · doi:10.1186/s12916-014-0206-2 · Cited by 739 · cited 6× · see citing works
“Older adults without cognitive impairment also commonly have evidence of small vessel cerebrovascular disease (CVD) [2].”
InfluentialAmyloid β oligomers constrict human capillaries in Alzheimer's disease via signaling to pericytes
Nortley, R., Korte, N., Izquierdo, P., Hirunpattarasilp, C., Mishra, A., Jaunmuktane, Z., Kyrargyri, V., Pfeiffer, T., Khennouf, L., Madry, C., et al. (2019) · Science · doi:10.1126/science.aav9518 · Cited by 682 · see citing works
Association Between Midlife Vascular Risk Factors and Estimated Brain Amyloid Deposition
Gottesman, R. F., Schneider, A. L. C., Zhou, Y., Coresh, J., Green, E., Gupta, N., Knopman, D. S., Mintz, A., Rahmim, A., Sharrett, A. R., et al. (2017) · JAMA · doi:10.1001/jama.2017.3090 · Cited by 650 · see citing works
Amyloid-β-independent regulators of tau pathology in Alzheimer disease
van der Kant, R., Goldstein, L. S. B., & Ossenkoppele, R. (2020) · Nature reviews. Neuroscience · doi:10.1038/s41583-019-0240-3 · Cited by 580 · see citing works
Bozzali, M. (2002) · Journal of Neurology, Neurosurgery & Psychiatry · doi:10.1136/jnnp.72.6.742 · Cited by 568 · see citing works
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., et al. (2016) · Annals of Neurology · doi:10.1002/ana.24647 · Cited by 542 · see citing works
Extent and distribution of white matter hyperintensities in normal aging, MCI, and AD
Yoshita, M., Fletcher, E., Harvey, D., Ortega, M., Martinez, O., Mungas, D. M., Reed, B. R., & DeCarli, C. S. (2006) · Neurology · doi:10.1212/01.wnl.0000249119.95747.1f · Cited by 434 · see citing works
Griffanti, L., Jenkinson, M., Suri, S., Zsoldos, E., Mahmood, A., Filippini, N., Sexton, C. E., Topiwala, A., Allan, C. L., Mika Kivimaki, B., et al. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.03.024 · Cited by 296 · 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
Predictors of Brain Morphology for the Men of the NHLBI Twin Study
DeCarli, C. S., Miller, B. L., Swan, G. E., Reed, T., Wolf, P. A., Garner, J. R., Jack, L. M., & Carmelli, D. (1999) · Stroke · doi:10.1161/01.str.30.3.529 · Cited by 238 · 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
Hajjar, I. M., Quach, L., Yang, F. M., Chaves, P. H. M., Newman, A. B., Mukamal, K. J., Longstreth, W. T., Inzitari, M., & Lipsitz, L. A. (2011) · Circulation · doi:10.1161/circulationaha.110.978114 · Cited by 213 · see citing works
Miners, J. S., Schulz, I., & Love, S. (2018) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1177/0271678x17690761 · Cited by 208 · see citing works
Regional Spatial Normalization: Toward an Optimal Target
Kochunov, P. V., Lancaster, J. L., Thompson, P. M., Woods, R. P., Mazziotta, J. C., Hardies, J., & Fox, P. T. (2001) · Journal of Computer Assisted Tomography · doi:10.1097/00004728-200109000-00023 · Cited by 192 · see citing works
Hedden, T., Mormino, E. C., Amariglio, R. E., Younger, A. P., Schultz, A. P., Becker, J. A., Buckner, R. L., Johnson, K. A., Sperling, R. A., & Rentz, D. M. (2012) · The Journal of Neuroscience · doi:10.1523/jneurosci.2462-12.2012 · Cited by 182 · see citing works
Raz, N., Yang, Y., Dahle, C. L., & Land, S. J. (2011) · Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease · doi:10.1016/j.bbadis.2011.08.007 · Cited by 163 · see citing works
Kester, M. I., Goos, J. D. C., Teunissen, C. E., Benedictus, M. R., Bouwman, F. H., Wattjes, M. P., Barkhof, F., Scheltens, P., & van der Flier, W. M. (2014) · JAMA Neurology · doi:10.1001/jamaneurol.2014.754 · Cited by 161 · see citing works
Albert, M., Soldan, A., Gottesman, R. F., McKhann, G. M., Sacktor, N. C., Farrington, L., Grega, M. A., Turner, R. S., Lu, Y., Li, S., et al. (2014) · Current Alzheimer Research · doi:10.2174/156720501108140910121920 · Cited by 160 · see citing works
Self-citationVascular burden and Alzheimer disease pathologic progression
Lo, R. Y., Jagust, W. J., Weiner, M., Aisen, P., Weiner, M., Aisen, P., Petersen, R., Jack, C. R., Jagust, W., Trojanowki, J. Q., et al. (2012) · Neurology · doi:10.1212/wnl.0b013e31826c1b9d · Cited by 156 · see citing works
Self-citationDumurgier, J., Schraen‐Maschke, S., Gabelle, A., Vercruysse, O., Bombois, S., Laplanche, J., Peoc’h, K., Sablonnière, B., Kastanenka, K. V., Delaby, C., et al. (2015) · Alzheimer s Research & Therapy · doi:10.1186/s13195-015-0114-5 · Cited by 145 · 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
Blood–Brain Barrier Breakdown in Relationship to Alzheimer and Vascular Disease
Lin, Z., Sur, S., Liu, P., Li, Y., Jiang, D., Hou, X., Darrow, J. A., Pillai, J. J., Yaşar, S., Rosenberg, P. B., et al. (2021) · Annals of Neurology · doi:10.1002/ana.26134 · Cited by 139 · see citing works
Self-citationMiners, J. S., Kehoe, P. G., Love, S., Zetterberg, H., & Blennow, K. (2019) · Alzheimer s Research & Therapy · doi:10.1186/s13195-019-0534-8 · Cited by 137 · see citing works
Cardiovascular disease and brain health: focus on white matter hyperintensities
Moroni, F., Ammirati, E., Rocca, M. A., Filippi, M., Magnoni, M., & Camici, P. G. (2018) · IJC Heart & Vasculature · doi:10.1016/j.ijcha.2018.04.006 · Cited by 128 · see citing works
Marchant, N. L., Reed, B., Sanossian, N., Madison, C. M., Kriger, S., Dhada, R., Mack, W. J., DeCarli, C. S., Weiner, M. W., Mungas, D., et al. (2013) · JAMA Neurology · doi:10.1001/2013.jamaneurol.405 · Cited by 123 · 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
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
Adaptive image segmentation for robust measurement of longitudinal brain tissue change
Fletcher, E., Singh, B., Harvey, D. J., Carmichael, O. T., & DeCarli, C. S. (2012) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2012.6347195 · Cited by 95 · see citing works
McAleese, K. E., Miah, M., Graham, S., Hadfield, G. M., Walker, L., Johnson, M. A., Colloby, S. J., Thomas, A. J., DeCarli, C. S., Koss, D. J., et al. (2021) · Acta Neuropathologica · doi:10.1007/s00401-021-02376-2 · Cited by 95 · see citing works
Kandel, B. M., Avants, B., Gee, J. C., McMillan, C. T., Erus, G., Doshi, J. J., Davatzikos, C. A., Wolk, D. A., & Initiative, A. D. N. (2016) · Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring · doi:10.1016/j.dadm.2016.03.001 · Cited by 94 · 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
Periventricular hyperintensities are associated with elevated cerebral amyloid
Marnane, M., Al-Jawadi, O., Mortazavi, S. A., Pogorzelec, K. J., Wang, B. W., Feldman, H., Hsiung, G. R., Initiative, A. D. N., Initiative, A. D. N., Weiner, M. W., et al. (2016) · Neurology · doi:10.1212/wnl.0000000000002352 · Cited by 89 · see citing works
Bilgel, M., Prince, J. L., Wong, D. F., Resnick, S. M., & Jedynak, B. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.04.001 · Cited by 82 · 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
Self-citationAssociation of APOE e2 genotype with Alzheimer’s and non-Alzheimer’s neurodegenerative pathologies
Goldberg, T. E., Huey, E. D., & Devanand, D. P. (2020) · Nature Communications · doi:10.1038/s41467-020-18198-x · Cited by 82 · see citing works
Failure to Modulate Attentional Control in Advanced Aging Linked to White Matter Pathology
Hedden, T., Dijk, K. R. A. V., Shire, E. H., Sperling, R. A., Johnson, K., & Buckner, R. L. (2011) · Cerebral Cortex · doi:10.1093/cercor/bhr172 · Cited by 81 · 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
Willemse, E. A. J., van Uffelen, K. W. J., Brix, B., Engelborghs, S., Vanderstichele, H., & Teunissen, C. E. (2017) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2017.01.010 · Cited by 75 · 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
Cerebral white matter lesions – associations with Aβ isoforms and amyloid PET
van Westen, D., Lindqvist, D., Blennow, K., Minthon, L., Nägga, K., Stomrud, E., Zetterberg, H., & Hansson, O. (2016) · Scientific Reports · doi:10.1038/srep20709 · Cited by 66 · see citing works
Guo, T., Korman, D., Joie, R. L., Shaw, L. M. J., Trojanowski, J. Q., Jagust, W. J., Landau, S. M., & Initiative, A. D. N. (2020) · Alzheimer s Research & Therapy · doi:10.1186/s13195-020-00665-8 · Cited by 66 · see citing works
Lehmann, S., Dumurgier, J., Ayrignac, X., Marelli, C., Alcolea, D. A., Fortea, J., Thouvenot, É., Delaby, C., Hirtz, C., Vialaret, J., et al. (2020) · Alzheimer s Research & Therapy · doi:10.1186/s13195-020-00696-1 · Cited by 62 · see citing works
Willemse, E. A. J., Tijms, B. M., van Berckel, B. N. M., Bastard, N. L., van der Flier, W. M., Scheltens, P., & Teunissen, C. E. (2021) · Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring · doi:10.1002/dad2.12182 · Cited by 62 · see citing works
Brown, R. B., Low, A., & Markus, H. S. (2021) · Journal of Neurology Neurosurgery & Psychiatry · doi:10.1136/jnnp-2021-326569 · Cited by 57 · see citing works
Association of small vessel disease with tau pathology
Kapasi, A., Yu, L., Petyuk, V., Arfanakis, K., Bennett, D. A., & Schneider, J. A. (2022) · Acta Neuropathologica · doi:10.1007/s00401-021-02397-x · Cited by 55 · see citing works
Cerebrospinal fluid β-amyloid42 and neurofilament light relate to white matter hyperintensities
Osborn, K. E., Liu, D., Samuels, L. R., Moore, E. E., Cambronero, F. E., Acosta, L. M. Y., Bell, S. P., Babicz, M. A., Gordon, E. A., Pechman, K. R., et al. (2018) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2018.03.028 · Cited by 51 · see citing works
Association of vascular brain injury, neurodegeneration, amyloid, and cognitive trajectory
Han, J. W., Maillard, P., Harvey, D., Fletcher, E., Martinez, O., Johnson, D. K., Olichney, J. M., Farias, S. T., Villeneuve, S., Jagust, W., et al. (2020) · Neurology · doi:10.1212/wnl.0000000000010531 · Cited by 49 · see citing works
Association of midlife vascular risk and AD biomarkers with subsequent cognitive decline
Pettigrew, C. A., Soldan, A., Wang, J., Wang, M., Arthur, K. C., Moghekar, A., Gottesman, R. F., & Albert, M. (2020) · Neurology · doi:10.1212/wnl.0000000000010946 · Cited by 48 · see citing works
Self-citationFletcher, E. M., Carmichael, O. T., & DeCarli, C. S. (2012) · doi:10.1109/embc.2012.6345882 · Cited by 47 · see citing works
Cerebral white matter disease is associated with Alzheimer pathology in a prospective cohort
Moghekar, A., Kraut, M. A., Elkins, W., Troncoso, J. C., Zonderman, A. B., Resnick, S. M., & O’Brien, R. (2012) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2012.04.006 · Cited by 46 · see citing works
Self-citationShams, S., Granberg, T., Martola, J., Li, X., Shams, M., Fereshtehnejad, S., Cavallin, L., Aspelin, P., Wiberg, M. K., & Wahlund, L. (2015) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1177/0271678x15606141 · Cited by 46 · see citing works
Cognitive reserve and midlife vascular risk: Cognitive and clinical outcomes
Soldan, A., Pettigrew, C. A., Zhu, Y., Wang, M., Gottesman, R. F., DeCarli, C. S., & Albert, M. (2020) · Annals of Clinical and Translational Neurology · doi:10.1002/acn3.51120 · Cited by 42 · see citing works
Self-citationScott, J. A., Braskie, M. N., Tosun, D., Maillard, P., Thompson, P. M., Weiner, M. W., DeCarli, C. S., & Carmichael, O. T. (2016) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2016.08.014 · Cited by 40 · see citing works
Lin, Z., Lim, C., Jiang, D., Soldan, A., Pettigrew, C. A., Oishi, K., Zhu, Y., Moghekar, A., Liu, P., Albert, M., et al. (2022) · Alzheimer s & Dementia · doi:10.1002/alz.12727 · Cited by 36 · see citing works
Self-citationCSF Alzheimer Disease Biomarkers
Greenberg, B., Pettigrew, C. A., Soldan, A., Wang, J., Wang, M., Darrow, J. A., Albert, M., & Moghekar, A. (2022) · Neurology · doi:10.1212/wnl.0000000000200953 · Cited by 32 · see citing works
Self-citationDistinct White Matter Changes Associated with Cerebrospinal Fluid Amyloid-β 1-42 and Hypertension
Al‐Janabi, O. M., Brown, C. A., Bahrani, A. A., Abner, E. L., Barber, J. M., Gold, B. T., Goldstein, L. B., Murphy, R. R., Nelson, P. T., Johnson, N. F., et al. (2018) · Journal of Alzheimer s Disease · doi:10.3233/jad-180663 · Cited by 26 · see citing works
Amyloid burden and white matter hyperintensities mediate age-related cognitive differences
Dupont, P. S., Bocti, C., Joannette, M., Lavallée, M. M., Nikelski, J., Vallet, G. T., Chertkow, H., & Joubert, S. (2020) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2019.08.025 · Cited by 25 · see citing works
Lindemer, E., Greve, D. N., Fischl, B. R., Augustinack, J. C., Salat, D. H., & Initiative, A. D. N. (2017) · Journal of Alzheimer s Disease · doi:10.3233/jad-161057 · Cited by 24 · see citing works
Age, vascular disease, and Alzheimer’s disease pathologies in amyloid negative elderly adults
Guo, T., Landau, S. M., Jagust, W. J., & Initiative, A. D. N. (2021) · Alzheimer s Research & Therapy · doi:10.1186/s13195-021-00913-5 · Cited by 23 · see citing works
Stenset, V. T. V., Hofoss, D., Johnsen, L., Berstad, A. E., Negaard, A., Skinningsrud, A., Gjerstad, L., & Fladby, T. (2009) · Journal of Neuroimaging · doi:10.1111/j.1552-6569.2009.00444.x · Cited by 10 · see citing works
Zebhauser, P. T., Berthele, A., Franz, M., Goldhardt, O., Diehl‐Schmid, J., Priller, J., Ortner, M., & Grimmer, T. (2021) · Journal of Alzheimer s Disease · doi:10.3233/jad-210286 · Cited by 2 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
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
“18,19 These mixed findings suggest that WMH may affect cognition in complex and multifaceted ways.”
Self-citation
- Authors
- Newton, P., the BIOCARD Research Team, Tchounguen, J., Pettigrew, C., Lim, C., Lin, Z., Lu, H., Moghekar, A., Albert, M., & Soldan, A.
- Affiliations
- Johns Hopkins University (US)
- Corresponding author
- Soldan, Anja
- Venue
- Journal of Alzheimer's Disease
- Publisher
- SAGE Publications
- Published
- 2023-03-07
- Volume
- 92
- Issue
- 1
- Pages
- 323-339
- ISSN
- 1387-2877 (ISSN-L)
- 1875-8908
- PMC
- PMC10041440
- OpenAlex
- W4318701093
- Cited by
- 23
- References
- 78
- Citations by year
- 2026: 8 · 2025: 9 · 2024: 5 · 2023: 1
- FWCI
- 4.66
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Journal of Alzheimer s Disease (publishedVersion, cc-by-nc)
- PubMed Central (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- Funders
- National Institutes of Health (P30AG005146, EB031771)
- National Institute on Aging (P30-AG005146, U19AG033655, P50AG005146, P30AG066507)
- National Institute of Mental Health
- National Institute of Biomedical Imaging and Bioengineering (P41EB031771)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Health Sciences › Medicine › Neurology › Cerebrovascular and genetic disorders
- Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
- Keywords
- white matter hyperintensities, Alzheimer's disease
- MeSH terms
- Aged, Alzheimer Disease, Cognition, Humans, Magnetic Resonance Imaging, Biomarkers, Amyloid beta-Peptides, tau Proteins, Cerebral Small Vessel Diseases, Cognitive Dysfunction, 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
