White matter hyperintensities and longitudinal cognitive decline in cognitively normal populations and across diagnostic categories: A meta‐analysis, systematic review, and recommendations for future study harmonization
Abstract
Introduction: The primary aim of this paper is to improve the clinical interpretation of white matter hyperintensities (WMHs) and provide an overarching summary of methodological approaches, allowing researchers to design future studies targeting current knowledge gaps. Methods: A meta‐analysis and systematic review was performed investigating associations between baseline WMHs and longitudinal cognitive outcomes in cognitively normal populations, and populations with mild cognitive impairment (MCI), Alzheimer's disease (AD), and stroke. Results: Baseline WMHs increase the risk of cognitive impairment and dementia across diagnostic categories and most consistently in MCI and post‐stroke populations. Apolipoprotein E (APOE) genotype and domain‐specific cognitive changes relating to strategic anatomical locations, such as frontal WMH and executive decline, represent important considerations. Meta‐analysis reliability was assessed using multiple methods of estimation, and results suggest that heterogeneity in study design and reporting remains a significant barrier. Discussion: Recommendations and future directions for study of WMHs are provided to improve cross‐study comparison and translation of research into consistent clinical interpretation.
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Extensive studies have reported a direct effect of WMH on cognitive deficits, both cross-sectionally and longitudinally.
“Extensive studies have reported the direct effect of WMH on cognitive deficits, both cross‐sectionally and longitudinally. 23 , 29”
From White matter hyperintensity modulates the amyloid‐tau‐cognition association and anti‐amyloid treatment efficacy in asymptomatic older adults (2025) · cites this paper as [23]
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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
Self-citationMR signal abnormalities at 1.5 T in Alzheimer's dementia and normal aging
Fazekas, F., Chawluk, J. B., Alavi, A. A., Hurtig, H. I., & Zimmerman, R. A. (1987) · American Journal of Roentgenology · doi:10.2214/ajr.149.2.351 · Cited by 5,327 · see citing works
The antibody aducanumab reduces Aβ plaques in Alzheimer’s disease
Sevigny, J., Chiao, P., Bussière, T., Weinreb, P. H., Williams, L., Maier, M., Dunstan, R., Salloway, S., Chen, T., Ling, Y., et al. (2016) · Nature · doi:10.1038/nature19323 · Cited by 3,059 · see citing works
IntHout, J., Ioannidis, J. P., & Borm, G. F. (2014) · BMC Medical Research Methodology · doi:10.1186/1471-2288-14-25 · Cited by 2,419 · see citing works
Debette, S., & Markus, H. S. (2010) · BMJ · doi:10.1136/bmj.c3666 · Cited by 2,328 · see citing works
A New Rating Scale for Age-Related White Matter Changes Applicable to MRI and CT
Wahlund, L., Barkhof, F., Fazekas, F., Bronge, L. H., Augustin, M., Sjögren, M. J. C., Wallin, A., Adèr, H. J., Leys, D., Pantoni, L., et al. (2001) · Stroke · doi:10.1161/01.str.32.6.1318 · Cited by 1,797 · see citing works
Mitchell, A. J., & Shiri‐Feshki, M. (2009) · Acta Psychiatrica Scandinavica · doi:10.1111/j.1600-0447.2008.01326.x · Cited by 1,659 · see citing works
Prins, N. D., van Dijk, E. J., den Heijer, T., Vermeer, S. E., JOLLES, J., Koudstaal, P. J., Albert Hofman, D., & Breteler, M. M. B. (2005) · Brain · doi:10.1093/brain/awh553 · Cited by 732 · see citing works
Clinical Significance of Magnetic Resonance Imaging Markers of Vascular Brain Injury
Debette, S., Schilling, S., Duperron, M., Larsson, S. C., & Markus, H. S. (2018) · JAMA Neurology · doi:10.1001/jamaneurol.2018.3122 · Cited by 727 · see citing works
Post-stroke cognitive impairment: epidemiology, mechanisms and management.
(2014) · PubMed Central · doi:10.3978/j.issn.2305-5839.2014.08.05 · Cited by 680 · see citing works
van Dijk, E. J., Prins, N. D., Vrooman, H. A., Hofman, A., Koudstaal, P. J., & Breteler, M. M. B. (2008) · Stroke · doi:10.1161/strokeaha.107.513176 · Cited by 580 · 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
White matter lesions impair frontal lobe function regardless of their location
Tullberg, M., Fletcher, E., DeCarli, C., Mungas, D., Reed, B. R., Harvey, D. J., Weiner, M. W., Chui, H. C., & Jagust, W. J. (2004) · Neurology · doi:10.1212/01.wnl.0000130530.55104.b5 · Cited by 530 · see citing works
Debette, S., Beiser, A., DeCarli, C., Au, R., Himali, J. J., Kelly-Hayes, M., Romero, J. R., Kase, C. S., Wolf, P. A., & Seshadri, S. (2010) · Stroke · doi:10.1161/strokeaha.109.570044 · Cited by 508 · see citing works
The Effect of Type and Area of Brain Lesion on Wisconsin Card Sorting Test Performance
Drewe, E. A. (1974) · Cortex · doi:10.1016/s0010-9452(74)80006-7 · Cited by 393 · see citing works
Prevalence of Poststroke Cognitive Impairment
Douiri, A., Rudd, A. G., & Wolfe, C. D. A. (2012) · Stroke · doi:10.1161/strokeaha.112.670844 · Cited by 374 · see citing works
Wen, W., & Sachdev, P. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2003.12.027 · Cited by 315 · see citing works
SCHELTENS, P., BARKHOF, F., VALK, J., ALGRA, P. R., HOOP, R. G. V. D., NAUTA, J., & WOLTERS, E. C. (1992) · Brain · doi:10.1093/brain/115.3.735 · Cited by 314 · see citing works
Amieva, H., Mokri, H., Goff, M. L., Meillon, C., Jacqmin‐Gadda, H., Foubert‐Samier, A., Orgogozo, J., Stern, Y., & Dartigues, J. (2014) · Brain · doi:10.1093/brain/awu035 · Cited by 295 · see citing works
Challenges in meta-analyses with observational studies
Metelli, S., & Chaimani, A. (2020) · Evidence-Based Mental Health · doi:10.1136/ebmental-2019-300129 · Cited by 291 · see citing works
Gouw, A. A., Seewann, A., Vrenken, H., van der Flier, W. M., Rozemuller, J. M., Barkhof, F., Scheltens, P., & Geurts, J. J. G. (2008) · Brain · doi:10.1093/brain/awn265 · Cited by 281 · see citing works
Executive Functions in Alzheimer Disease: A Systematic Review
Guarino, A., Favieri, F., Boncompagni, I., Agostini, F., Cantone, M., & Casagrande, M. (2019) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2018.00437 · Cited by 280 · see citing works
Longitudinal MRI and cognitive change in healthy elderly.
Kramer, J. H., Mungas, D., Reed, B., Wetzel, M. E., Burnett, M. M., Miller, B. L., Weiner, M. W., & Chui, H. C. (2007) · Neuropsychology · doi:10.1037/0894-4105.21.4.412 · Cited by 264 · see citing works
Post‐stroke cognitive decline: an update and perspectives for clinical research
Brainin, M., Tuomilehto, J., Heiss, W., Bornstein, N. M., Bath, P. M., Teuschl, Y., Richard, E., Guekht, A. B., Quinn, T. J., & the Post Stroke Cognition Study Group (2014) · European Journal of Neurology · doi:10.1111/ene.12626 · Cited by 257 · 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
Wolk, D. A., Dickerson, B. C., Initiative, T. A. D. N., Weiner, M., Aiello, M., Aisen, P., Albert, M. S., Alexander, G., Anderson, H. S., Anderson, K., et al. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1001412107 · Cited by 248 · see citing works
Carmichael, O. (2010) · Archives of Neurology · doi:10.1001/archneurol.2010.284 · Cited by 248 · see citing works
Correlations between MRI white matter lesion location and executive function and episodic memory
Smith, E. E., Salat, D. H., Jeng, J., McCreary, C. R., Fischl, B., Schmahmann, J. D., Dickerson, B. C., Viswanathan, A., Albert, M. S., Blacker, D., et al. (2011) · Neurology · doi:10.1212/wnl.0b013e318217e7c8 · Cited by 243 · see citing works
Volumetric MRI predicts rate of cognitive decline related to AD and cerebrovascular disease
Mungas, D., Reed, B., Jagust, W. J., DeCarli, C. S., Mack, W. J., Kramer, J. H., Weiner, M. W., Schuff, N. W., & Chui, H. C. (2002) · Neurology · doi:10.1212/wnl.59.6.867 · Cited by 233 · see citing works
WMH and long-term outcomes in ischemic stroke
Georgakis, M. K., Duering, M., Wardlaw, J. M., & Dichgans, M. (2019) · Neurology · doi:10.1212/wnl.0000000000007142 · Cited by 230 · see citing works
Associations Between Cardiovascular Risk, Structural Brain Changes, and Cognitive Decline
Song, R., Xu, H., Dintica, C. S., Pan, K., Qi, X., Buchman, A. S., Bennett, D. A., & Xu, W. (2020) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2020.03.053 · Cited by 213 · see citing works
Wen, W., Sachdev, P. S., Li, J. J., Chen, X., & Anstey, K. J. (2009) · Human Brain Mapping · doi:10.1002/hbm.20586 · Cited by 210 · see citing works
Hamilton, O. K., Backhouse, E. V., Janssen, E., Jochems, A. C. C., Maher, C., Ritakari, T. E., Stevenson, A. J., Xia, L., Deary, I. J., & Wardlaw, J. M. (2020) · Alzheimer s & Dementia · doi:10.1002/alz.12221 · Cited by 204 · see citing works
White matter changes and diabetes predict cognitive decline in the elderly
Verdelho, A., MADUREIRA, S., Moleiro, C., Ferro, J. M., Santos, C. O., Erkinjuntti, T., Pantoni, L., Fazekas, F., de Visser, M. C. H., Waldemar, G., et al. (2010) · Neurology · doi:10.1212/wnl.0b013e3181e7ca05 · Cited by 192 · 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
Coevolution of white matter hyperintensities and cognition in the elderly
Maillard, P., Carmichael, O., Fletcher, E., Reed, B., Mungas, D., & DeCarli, C. (2012) · Neurology · doi:10.1212/wnl.0b013e3182617136 · Cited by 172 · see citing works
Michaud, T. L., Su, D., Siahpush, M., & Murman, D. L. (2017) · Dementia and Geriatric Cognitive Disorders Extra · doi:10.1159/000452486 · Cited by 172 · see citing works
Debette, S., Bombois, S., Bruandet, A., Delbeuck, X., Lepoittevin, S., Delmaire, C., Leys, D., & Pasquier, F. (2007) · Stroke · doi:10.1161/strokeaha.107.488403 · Cited by 166 · see citing works
The most frequently used tests for assessing executive functions in aging
Faria, C. D. A., Alves, H., & Charchat‐Fichman, H. (2015) · Dementia & Neuropsychologia · doi:10.1590/1980-57642015dn92000009 · Cited by 165 · see citing works
Altered brain white matter integrity in healthy carriers of the APOE ε4 allele
Persson, J., Lind, J., Larsson, A., Ingvar, M., Cruts, M., Broeckhoven, C. V., Adolfsson, R., Nilsson, L. G., & Nyberg, L. H. (2006) · Neurology · doi:10.1212/01.wnl.0000204180.25361.48 · Cited by 161 · see citing works
Gootjes, L., Teipel, S. J., Zebuhr, Y., Schwarz, R., Leinsinger, G., Scheltens, P., Möller, H. ‐., & Hampel, H. J. (2004) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000079199 · Cited by 161 · see citing works
Clancy, Ú., Gilmartin, D., Jochems, A. C. C., Knox, L., Doubal, F., & Wardlaw, J. M. (2021) · The Lancet Psychiatry · doi:10.1016/s2215-0366(20)30431-4 · Cited by 161 · see citing works
Rozzini, L., Chilovi, B. V., Conti, M. Z., Bertoletti, E., Delrio, I., Trabucchi, M., & Padovani, A. (2007) · International Journal of Geriatric Psychiatry · doi:10.1002/gps.1816 · Cited by 160 · see citing works
Brickman, A. M., Honig, L. S., Scarmeas, N., Tatarina, O., Sanders, L. L., Albert, M., Brandt, J., Blacker, D., & Stern, Y. (2008) · Archives of Neurology · doi:10.1001/archneur.65.9.1202 · Cited by 159 · see citing works
Stewart, R. J., Godin, O., Crivello, F., Maillard, P., Mazoyer, B. M., Tzourio, C., & Dufouil, C. (2011) · The British Journal of Psychiatry · doi:10.1192/bjp.bp.110.078683 · Cited by 154 · see citing works
Brain tissue volumes in relation to cognitive function and risk of dementia
Ikram, M. A., Vrooman, H. A., Vernooij, M. W., den Heijer, T., Albert Hofman, D., Niessen, W. J., van der Lugt, A., Koudstaal, P. J., & Breteler, M. M. B. (2008) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2008.04.008 · Cited by 152 · see citing works
The APOE ɛ4 allele modulates brain white matter integrity in healthy adults
Heise, V, Filippini, N., Ebmeier, K. P., & Mackay, C. E. (2011) · Molecular Psychiatry · doi:10.1038/mp.2010.90 · Cited by 152 · see citing works
Wang, L., Goldstein, F. C., Veledar, E., Levey, A. I., Lah, J. J., MELTZER, C. C., Holder, C. A., & Mao, H. (2009) · American Journal of Neuroradiology · doi:10.3174/ajnr.a1484 · Cited by 145 · see citing works
Staekenborg, S. S., Koedam, E. L. G. E., Henneman, W. J. P., Stokman, P., Barkhof, F., Scheltens, P., & van der Flier, W. M. (2009) · Stroke · doi:10.1161/strokeaha.108.531343 · Cited by 139 · see citing works
Dufouil, C., Godin, O., Chalmers, J., Coskun, O., MacMahon, S., Tzourio-Mazoyer, N., Bousser, M.-G., Anderson, C., Mazoyer, B., & Tzourio, C. (2009) · Stroke · doi:10.1161/strokeaha.108.540633 · Cited by 130 · see citing works
Charlton, R. A., Schiavone, F., Barrick, T. R., Morris, R. G., & Markus, H. S. (2009) · Journal of Neurology Neurosurgery & Psychiatry · doi:10.1136/jnnp.2008.167288 · Cited by 128 · see citing works
Predicting Aggressive Decline in Mild Cognitive Impairment
Tosto, G., Zimmerman, M. E., Carmichael, O. T., & Brickman, A. M. (2014) · JAMA Neurology · doi:10.1001/jamaneurol.2014.667 · Cited by 116 · see citing works
Armstrong, N. J., Mather, K. A., Sargurupremraj, M., Knol, M. J., Malik, R., Satizábal, C. L., Yanek, L. R., Wen, W. X., Gudnason, V. G., Dueker, N., et al. (2020) · Stroke · doi:10.1161/strokeaha.119.027544 · Cited by 114 · see citing works
Firbank, M., Burton, E. J., Barber, R., Stephens, S., Kenny, R. A., Ballard, C. G., Kalaria, R. N., & O'Brien, J. T. (2006) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2006.07.009 · Cited by 113 · 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
White matter hyperintensities, incident mild cognitive impairment, and cognitive decline in old age
Boyle, P. A., Yu, L., Fleischman, D. A., Leurgans, S. E., Yang, J., Wilson, R. S., Schneider, J. A., Arvanitakis, Z., Arfanakis, K., & Bennett, D. A. (2016) · Annals of Clinical and Translational Neurology · doi:10.1002/acn3.343 · Cited by 112 · see citing works
Taheri, S., Gasparovic, C., Shah, N. J., & Rosenberg, G. A. (2010) · Magnetic Resonance in Medicine · doi:10.1002/mrm.22686 · Cited by 107 · see citing works
Cortical thinning related to periventricular and deep white matter hyperintensities
Seo, S. W., Lee, J.-M., Im, K., Park, J.-S., Kim, S.-H., Kim, S. T., Ahn, H.-J., Chin, J., Cheong, H.-K., Weiner, M. W., et al. (2012) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2010.12.003 · 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
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
Periventricular white matter hyperintensities and the risk of dementia: a CREDOS study
Kim, S., Choi, S. H., Lee, Y. M., et al. (2015) · International Psychogeriatrics · doi:10.1017/s1041610215001076 · Cited by 87 · see citing works
Biomarker potential of brain‐secreted extracellular vesicles in blood in Alzheimer's disease
Badhwar, A., & Haqqani, A. S. (2020) · Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring · doi:10.1002/dad2.12001 · Cited by 87 · see citing works
Effects of <i>APOE</i> on brain white matter microstructure in healthy adults
Westlye, L. T., Reinvang, I., Rootwelt, H., & Espeseth, T. (2012) · Neurology · doi:10.1212/wnl.0b013e3182735c9c · Cited by 84 · 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
Prasad, K., Wiryasaputra, L., Ng, A., & Kandiah, N. (2011) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000330019 · Cited by 82 · see citing works
Peters, F., Villeneuve, S., & Belleville, S. (2013) · Journal of Alzheimer s Disease · doi:10.3233/jad-130842 · Cited by 81 · see citing works
Neuroimaging Determinants of Poststroke Cognitive Performance
Puy, L., Barbay, M., Roussel, M., Canaple, S., Lamy, C., Arnoux, A., Leclercq, C., Mas, J., Tasseel‐Ponche, S., Constans, J., et al. (2018) · Stroke · doi:10.1161/strokeaha.118.021981 · Cited by 80 · see citing works
Bombois, S., Debette, S., Delbeuck, X., Bruandet, A., Lepoittevin, S., Delmaire, C., Leys, D., & Pasquier, F. (2007) · Stroke · doi:10.1161/strokeaha.107.486407 · Cited by 77 · see citing works
White matter hyperintensities and their relationship to cognition: Effects of segmentation algorithm
Tubi, M. A., Feingold, F. W., Kothapalli, D., Hare, E. T., King, K. S., Thompson, P. M., & Braskie, M. N. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.116327 · Cited by 76 · see citing works
Zahodne, L. B., Manly, J. J., Brickman, A. M., Narkhede, A., Griffith, E. Y., Guzman, V. A., Schupf, N., & Stern, Y. (2015) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2015.09.009 · Cited by 75 · see citing works
Jacobs, H. I. L., Visser, P. J., van Boxtel, M. P. J., Frisoni, G. B., Tsolaki, M., Papapostolou, P., Nobili, F. M., Wahlund, L., Minthon, L., Frölich, L., et al. (2010) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2010.07.015 · Cited by 75 · see citing works
Grambaitė, R., Selnes, P., Reinvang, I., Aarsland, D., Hessen, E., Gjerstad, L., & Fladby, T. (2011) · Journal of Alzheimer s Disease · doi:10.3233/jad-2011-110290 · Cited by 74 · see citing works
Maruyama, M., Matsui, T., Tanji, H., Nemoto, M., Tomita, N., Ootsuki, M., Arai, H., & Sasaki, H. (2004) · Archives of Neurology · doi:10.1001/archneur.61.5.716 · Cited by 69 · see citing works
Prevalence of dementia in ischaemic or mixed stroke populations: systematic review and meta-analysis
Craig, L., Hoo, Z. L., Yan, T. Z., Wardlaw, J. M., & Quinn, T. J. (2021) · Journal of Neurology Neurosurgery & Psychiatry · doi:10.1136/jnnp-2020-325796 · Cited by 68 · see citing works
White Matter Hyperintensities as Early and Independent Predictors of Alzheimer's Disease Risk
Mortamais, M., Artéro, S., & Ritchie, K. A. (2014) · Journal of Alzheimer s Disease · doi:10.3233/jad-141473 · Cited by 67 · see citing works
Tokuchi, R., Hishikawa, N., Kurata, T., Sato, K., Kono, S., Yamashita, T., Deguchi, K., & Abe, K. (2014) · Journal of the Neurological Sciences · doi:10.1016/j.jns.2014.09.012 · Cited by 66 · see citing works
White Matter Abnormalities and Cognition in a Community Sample
Vannorsdall, T. D., Waldstein, S. R., Kraut, M. A., Pearlson, G. D., & Schretlen, D. J. (2009) · Archives of Clinical Neuropsychology · doi:10.1093/arclin/acp037 · Cited by 66 · see citing works
Godin, O., Tzourio, C., Rouaud, O., Zhu, Y., Maillard, P., Pasquier, F., Crivello, F., Alpérovitch, A., Mazoyer, B. M., & Dufouil, C. (2010) · Journal of Alzheimer s Disease · doi:10.3233/jad-2010-1389 · Cited by 65 · see citing works
Miwa, K., Tanaka, M. R., Okazaki, S., Yagita, Y., Sakaguchi, M., Mochizuki, H., & Kitagawa, K. (2015) · Journal of Alzheimer s Disease · doi:10.3233/jad-150458 · Cited by 65 · see citing works
Bunce, D. J., Anstey, K. J., Cherbuin, N., Burns, R. A., Christensen, H. M., Wen, W. X., & Sachdev, P. S. (2010) · PLoS ONE · doi:10.1371/journal.pone.0013567 · Cited by 64 · see citing works
Lorius, N., Locascio, J. J., Rentz, D. M., Johnson, K. A., Sperling, R. A., Viswanathan, A., & Marshall, G. A. (2014) · Alzheimer Disease & Associated Disorders · doi:10.1097/wad.0000000000000043 · Cited by 62 · see citing works
Defrancesco, M., Marksteiner, J., Deisenhammer, E., Kemmler, G., Djurdjevic, T., & Schocke, M. F. H. (2013) · Journal of Alzheimer s Disease · doi:10.3233/jad-122095 · Cited by 61 · see citing works
Wang, R., Fratiglioni, L., Kalpouzos, G., Lövdén, M., Laukka, E. J., Bronge, L. H., Wahlund, L., Bäckman, L., & Qiu, C. (2016) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2016.06.2363 · Cited by 61 · see citing works
White matter microstructure is altered in cognitively normal middle-aged APOE-ε4 homozygotes
Study, F. T. A., Operto, G., Cacciaglia, R., Grau‐Rivera, O., Falcón, C., Brugulat‐Serrat, A., Ródenas, P., Ramos, R., Morán, S., Esteller, M., et al. (2018) · Alzheimer s Research & Therapy · doi:10.1186/s13195-018-0375-x · Cited by 59 · see citing works
Amyloid, neurodegeneration, and small vessel disease as predictors of dementia in the oldest-old
López, O. L., Klunk, W. E., Mathis, C. A., Coleman, R. L., Price, J. C., Becker, J. T., Aizenstein, H. J., Snitz, B. E., Cohen, A. D., Ikonomović, M. D., et al. (2014) · Neurology · doi:10.1212/wnl.0000000000000977 · Cited by 57 · see citing works
Molad, J., Hallevi, H., Korczyn, A. D., Kliper, E., Auriel, E., Bornstein, N. M., & Assayag, E. B. (2019) · Journal of Alzheimer s Disease · doi:10.3233/jad-190339 · Cited by 55 · see citing works
Lacunar Infarcts: Functional and Cognitive Outcomes at Five Years in Relation to MRI Findings
Appelros, P., Samuelsson, M., & Lindell, D. (2005) · Cerebrovascular Diseases · doi:10.1159/000086202 · Cited by 54 · see citing works
Multimodal Prediction of Dementia with up to 10 Years Follow Up: The Gothenburg MCI Study
Eckerström, C., Olsson, E., Klasson, N., Berge, J., Nordlund, A., Bjerke, M., & Wallin, A. (2015) · Journal of Alzheimer s Disease · doi:10.3233/jad-141053 · Cited by 53 · see citing works
Hakim, A. M. (2019) · Frontiers in Neurology · doi:10.3389/fneur.2019.01020 · Cited by 53 · see citing works
Inaba, M., White, L. R., Bell, C., Chen, R., Petrovitch, H., Launer, L. J., Abbott, R. D., Ross, G. W., & Masaki, K. (2011) · Journal of the American Geriatrics Society · doi:10.1111/j.1532-5415.2011.03490.x · Cited by 52 · see citing works
Ramirez, J., McNeely, A. A., Berezuk, C., Gao, F., & Black, S. E. (2016) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2016.00062 · Cited by 52 · see citing works
White Matter Hyperintensities and Hippocampal Atrophy in Relation to Cognition: The 90+ Study
Legdeur, N., Visser, P. J., Woodworth, D. C., Muller, M., Fletcher, E. M., Maillard, P., Scheltens, P., DeCarli, C. S., Kawas, C. H., & Corrada, M. M. (2019) · Journal of the American Geriatrics Society · doi:10.1111/jgs.15990 · Cited by 49 · see citing works
Early life predictors of late life cerebral small vessel disease in four prospective cohort studies
Backhouse, E. V., Shenkin, S. D., McIntosh, A. M., Bastin, M. E., Whalley, H. C., Hernandez, M. V., Maniega, S. M., Harris, M. A., Stolicyn, A., Campbell, A. I., et al. (2021) · Brain · doi:10.1093/brain/awab331 · Cited by 45 · see citing works
The impact of early-life intelligence quotient on post stroke cognitive impairment
Makin, S., Doubal, F., Shuler, K., Chappell, F. M., Staals, J., Dennis, M. S., & Wardlaw, J. M. (2018) · European Stroke Journal · doi:10.1177/2396987317750517 · Cited by 43 · see citing works
Jiang, Y., Wang, Y., Yuan, Z., Xu, K., Zhang, K., Zhu, Z., Li, P., Suo, C., Tian, W., Fan, M., et al. (2019) · Journal of Alzheimer s Disease · doi:10.3233/jad-181135 · Cited by 43 · 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
Mandzia, J. L., Smith, E. E., Horton, M., Hanly, P., Barber, P. A., Godzwon, C., Donaldson, E., Asdaghi, N., Patel, S., & Coutts, S. B. (2016) · Stroke · doi:10.1161/strokeaha.115.011507 · Cited by 40 · see citing works
Operto, G., Molinuevo, J. L., Cacciaglia, R., Falcon, C., Brugulat-Serrat, A., Suárez-Calvet, M., Grau-Rivera, O., Bargalló, N., Morán, S., Esteller, M., et al. (2019) · NeuroImage: Clinical · doi:10.1016/j.nicl.2019.101983 · Cited by 40 · see citing works
Kandiah, N., Chander, R. J., Ng, A. Y. T., Wen, M., Cenina, A. R., & Assam, P. N. (2014) · European Journal of Neurology · doi:10.1111/ene.12546 · Cited by 38 · see citing works
Seoul criteria for PiB(−) subcortical vascular dementia based on clinical and MRI variables
Kim, G. H., Lee, J. H., Seo, S. W., Ye, B. S., Cho, H., Kim, H. J., Noh, Y., Yoon, C. W., Chin, J. H., Oh, S. J., et al. (2014) · Neurology · doi:10.1212/wnl.0000000000000360 · Cited by 37 · see citing works
MRI measures and progression of cognitive decline in nondemented elderly attending a memory clinic
van der Flier, W. M., van der Vlies, A. E., Weverling‐Rijnsburger, A. W. E., de Boer, N. L., Behloul, F., Bollen, E. L. E. M., Westendorp, R. G. J., van Buchem, M. A., & Middelkoop, H. A. M. (2005) · International Journal of Geriatric Psychiatry · doi:10.1002/gps.1392 · Cited by 37 · see citing works
Tang, W. K., Chen, Y., Lu, J., Wong, A., Mok, V., Chu, C. W., Ungvari, G. S., & Wong, K. S. (2011) · International Journal of Stroke · doi:10.1111/j.1747-4949.2011.00682.x · Cited by 36 · see citing works
Kaffashian, S., Soumaré, A., Zhu, Y., Mazoyer, B. M., Debette, S., & Tzourio, C. (2016) · Stroke · doi:10.1161/strokeaha.116.014695 · Cited by 34 · see citing works
Novel PET Biomarkers to Disentangle Molecular Pathways across Age-Related Neurodegenerative Diseases
Wilson, H., Politis, M., Rabiner, E. A., & Middleton, L. T. (2020) · Cells · doi:10.3390/cells9122581 · Cited by 34 · see citing works
Tu, M.-C., Huang, C., Chen, N.-C., Chang, W., Lui, C., Chen, C., Chen, C., Wang, Y., Lin, Y.-T., & Chang, C. (2010) · PubMed · Cited by 33 · see citing works
Humphreys, C. A., Smith, C., & Wardlaw, J. M. (2021) · Neuropathology and Applied Neurobiology · doi:10.1111/nan.12737 · Cited by 33 · see citing works
Associations between lesions and domain-specific cognitive decline in poststroke dementia
Yatawara, C., Ng, K. P., Chander, R. J., & Kandiah, N. (2018) · Neurology · doi:10.1212/wnl.0000000000005734 · Cited by 32 · see citing works
The Chongqing Aging Study Group, Li, L., Wang, Y., Yan, J., Chen, Y., Zhou, R., Yi, X., Shi, Q., & Zhou, H. (2011) · Journal of Neurology · doi:10.1007/s00415-011-6342-0 · Cited by 27 · see citing works
Zhao, L., Wong, A., Luo, Y., et al. (2018) · Frontiers in Neuroscience · doi:10.3389/fnins.2018.00290 · Cited by 26 · see citing works
Roseborough, A. D., Langdon, K. D., Hammond, R. R., Cipriano, L. E., Pasternak, S., Whitehead, S. N., & KHAN, A. R. (2020) · NeuroImage Clinical · doi:10.1016/j.nicl.2020.102340 · Cited by 25 · see citing works
Self-citationCortical thickness, white matter hyperintensities, and cognition after stroke
Dickie, D. A., Gardner, K., Wagener, A., Wyss, A., Arba, F., Wardlaw, J. M., Dawson, J., & Collaborators**, O. B. O. T. V.-P. (2019) · International Journal of Stroke · doi:10.1177/1747493019851291 · Cited by 24 · see citing works
Liang, Y., Chen, Y., Liu, Y., et al. (2019) · Journal of Geriatric Psychiatry and Neurology · doi:10.1177/0891988719862630 · Cited by 24 · see citing works
Plasma parameters and risk factors of patients with post-stroke cognitive impairment
Wu, J., Xue, J., Zhuang, L., et al. (2020) · Annals of Palliative Medicine · doi:10.21037/apm.2019.12.05 · Cited by 24 · see citing works
Jokinen, H., Gonçalves, N., Vigário, R., Lipsanen, J. O., Fazekas, F., Schmidt, R., Barkhof, F., Madureira, S., Verdelho, A., Inzitari, D., et al. (2015) · Frontiers in Neuroscience · doi:10.3389/fnins.2015.00455 · Cited by 23 · see citing works
Ding, D., Xiong, Y., Zhao, Q., Guo, Q., Chu, S., Chu, C. W., Luo, J., Liang, X., Zheng, L., Hong, Z., et al. (2018) · Journal of Alzheimer s Disease · doi:10.3233/jad-170876 · Cited by 23 · see citing works
Kan, C. N., Gyanwali, B., Hilal, S., Ng, K. P., Venketasubramanian, N., Chen, C., & Xu, X. (2019) · Journal of Alzheimer s Disease · doi:10.3233/jad-190999 · Cited by 20 · see citing works
Payton, N. M., Kalpouzos, G., Rizzuto, D., Fratiglioni, L., Kivipelto, M., Bäckman, L., & Laukka, E. J. (2018) · Journal of Alzheimer s Disease · doi:10.3233/jad-180199 · Cited by 19 · see citing works
Hernández, M. D. C. V., Case, T., Chappell, F. M., Glatz, A., Makin, S., Doubal, F., & Wardlaw, J. M. (2019) · International Journal of Molecular Sciences · doi:10.3390/ijms20061293 · Cited by 19 · see citing works
Hanaoka, T., Kimura, N., Aso, Y., Takemaru, M., Kimura, Y., Ishibashi, M., & Matsubara, E. (2015) · Geriatrics and gerontology international/Geriatrics & gerontology international · doi:10.1111/ggi.12563 · Cited by 18 · see citing works
Sepe‐Monti, M., Pantano, P., Vanacore, N., Carolis, A. D., Bianchi, V., Antonini, G., Guidoni, S. V., & Giubilei, F. (2007) · Acta Neurologica Scandinavica · doi:10.1111/j.1600-0404.2007.00825.x · Cited by 18 · see citing works
Baseline differences between vascular cognitive impairment no dementia reverters and non-reverters
Williamson, J., Nyenhuis, D. L., Pedelty, L., et al. (2008) · Journal of Neurology Neurosurgery & Psychiatry · doi:10.1136/jnnp.2007.137554 · Cited by 18 · see citing works
Neuropsychological Test Performance and MRI Markers of Dementia Risk
Walter, S., Dufouil, C., Gross, A. L., Jones, R. N., Mungas, D., Filshtein, T. J., Manly, J. J., Arpawong, T. E., & Glymour, M. M. (2019) · Alzheimer Disease & Associated Disorders · doi:10.1097/wad.0000000000000321 · Cited by 18 · see citing works
White matter abnormalities and cognition in patients with conflicting diagnoses and CSF profiles
Lindemer, E., Greve, D. N., Fischl, B. R., Salat, D. H., & Gómez‐Isla, T. (2018) · Neurology · doi:10.1212/wnl.0000000000005353 · Cited by 17 · see citing works
Lee, H. K., Lee, Y. M., Park, J., et al. (2013) · International Journal of Geriatric Psychiatry · doi:10.1002/gps.4035 · Cited by 16 · see citing works
White Matter Hyperintensities in Mild Cognitive Impairment and Lower Risk of Cognitive Decline
Nolze-Charron, G., Mouiha, A., Duchesne, S., Bocti, C., & Initiative, A. D. N. (2015) · Journal of Alzheimer s Disease · doi:10.3233/jad-140618 · Cited by 16 · see citing works
Verlinden, V. J. A., van der Geest, J. N., Albert Hofman, D., Niessen, W. J., van der Lugt, A., Vernooij, M. W., & Ikram, M. A. (2017) · Journal of the American Geriatrics Society · doi:10.1111/jgs.14775 · Cited by 16 · see citing works
Moon, S. Y., Barreto, P. D. S., Marie Chupin, A., Mangin, J., Bouyahia, A., Fillon, L., Andrieu, S., & Vellas, B. J. (2017) · Journal of the Neurological Sciences · doi:10.1016/j.jns.2017.06.031 · Cited by 16 · see citing works
Dilliott, A. A., Sunderland, K. M., McLaughlin, P. M., Roberts, A., Evans, E. C., Abrahão, A., Binns, M. A., Black, S. E., BORRIE, M. J., Casaubon, L. K., et al. (2021) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2021.04.011 · Cited by 16 · see citing works
The Ambibaric Brain: Pathophysiological and Clinical Implications
Hachinski, V., & Østergaard, L. (2021) · Stroke · doi:10.1161/strokeaha.120.033492 · Cited by 15 · see citing works
Self-citationConfluent White Matter in Progression to Alzheimer Dementia
Heng, L. C. ‐., Lim, S. H., Foo, H., & Kandiah, N. (2020) · Alzheimer Disease & Associated Disorders · doi:10.1097/wad.0000000000000409 · Cited by 12 · see citing works
Exploring the Spectrum of Subcortical Hyperintensities and Cognitive Decline
Chen, Y., Tsao, H.-H., Chu, Y.-C., Wang, J., Lee, J.-D., Chang, P.-Y., & Hsu, W. (2017) · Journal of Neuropsychiatry · doi:10.1176/appi.neuropsych.17050099 · Cited by 10 · see citing works
Wong, A., Yiu, S., Lam, B. Y. K., Leung, K. T., Shi, L., Lo, E., Abrigo, J., Au, L. W. C., Lau, A. Y. L., & Mok, V. (2019) · International Journal of Geriatric Psychiatry · doi:10.1002/gps.5194 · Cited by 10 · see citing works
White matter changes and diabetes predict cognitive decline in the elderly: the LADIS study
Verdelho, A., Madureira, S., Moleiro, C., Ferro, J. M., Santos, C. O., Erkinjuntti, T., Pantoni, L., Fazekas, F., Visser, M., Waldemar, G., et al. (2010) · Repositório do ISCTE-IUL · Cited by 10 · see citing works
Associations Between Neuroanatomic Patterns of Cerebral Infarctions and Vascular Dementia
Kumral, E., Bayam, F. E., Arslan, H., & Orman, M. N. (2020) · Journal of Neuropsychiatry · doi:10.1176/appi.neuropsych.19120356 · Cited by 9 · see citing works
Staekenborg, S. S., Koedam, E. L. G. E., Hennernan, W. J. P., et al. (2009) · Digital Academic REpository of VU University Amsterdam (Vrije Universiteit Amsterdam) · Cited by 8 · see citing works
Combining Neurovascular and Neurodegenerative Magnetic Resonance Imaging Measures in Stroke
Wyss, A., Dawson, J., Arba, F., et al. (2019) · Stroke · doi:10.1161/strokeaha.118.024181 · Cited by 6 · see citing works
Interactions Between Acute Infarcts and Cerebrovascular Pathology Predict Poststroke Dementia
Yatawara, C., Guevarra, A. C., Ng, K. P., et al. (2020) · Alzheimer Disease & Associated Disorders · doi:10.1097/wad.0000000000000384 · Cited by 6 · see citing works
Taheri, S., Gasparovic, C., Shah, N. J., et al. (2011) · JuSER (Forschungszentrum Jülich) · Cited by 5 · see citing works
P2‐588: PREDIABETES AND DIABETES ACCELERATE COGNITIVE DECLINE AND PREDICT MICROVASCULAR LESIONS
Marseglia, A., Fratiglioni, L., Kalpouzos, G., et al. (2018) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2018.06.1283 · Cited by 3 · see citing works
Choi, H., Yang, Y., Han, H. J., Jeong, J. H., Park, M. Y., Kim, Y. B., Jo, K. D., Choi, J.-Y., Kang, K.-H., Kang, H., et al. (2018) · Journal of Alzheimer s Disease · doi:10.3233/jad-180565 · Cited by 3 · see citing works
Tu, M. C., Huang, C. W., Chen, N. C., Chang, W. N., Lui, C. C., Chen, C. F., Chen, C., Wang, Y. L., Lin, Y. T., & Chang, C. C. (2010) · Acta Neurologica Taiwanica · doi:10.29819/ant.201009.0004
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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
“23,29 Consistent with these findings, our study showed that faster WMH accrual was associated with worse cognitive deterioration.”
- Authors
- Roseborough, A. D., Saad, L., Goodman, M., Cipriano, L. E., Hachinski, V. C., & Whitehead, S. N.
- Affiliations
- Western University (CA)
- Corresponding author
- Whitehead, Shawn N
- Venue
- Alzheimer's & Dementia
- Publisher
- Wiley
- Published
- 2022-03-23
- Volume
- 19
- Issue
- 1
- Pages
- 194-207
- ISSN
- 1552-5260 (ISSN-L)
- 1552-5279
- OpenAlex
- W4220843318
- Cited by
- 80
- References
- 141
- Citations by year
- 2026: 26 · 2025: 22 · 2024: 13 · 2023: 14 · 2022: 5
- FWCI
- 2.32
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Alzheimer s & Dementia (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Health Sciences › Medicine › Neurology › Cerebrovascular and genetic disorders
- Life Sciences › Neuroscience › Neurology › Neurological Disease Mechanisms and Treatments
- Keywords
- white matter hyperintensities, longitudinal cognitive decline
- MeSH terms
- Alzheimer Disease, Humans, Magnetic Resonance Imaging, Reproducibility of Results, Cognitive Dysfunction, White Matter
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