The DOI matches its Crossref record; 55 of the 58 references it cites were found in a registry or an index.
Association of Cerebral Microbleeds With Cognitive Decline and Dementia
Open accessAbstract
IMPORTANCE: Cerebral microbleeds are hypothesized downstream markers of brain damage caused by vascular and amyloid pathologic mechanisms. To date, whether their presence is associated with cognitive deterioration in the general population remains unclear. OBJECTIVE: To determine whether microbleeds, and more specifically microbleed count and location, are associated with an increased risk for cognitive impairment and dementia in the general population. DESIGN, SETTING, AND PARTICIPANTS: The Rotterdam Study, a prospective population-based study set in the general community, assessed the presence, number, and location of microbleeds at baseline (August 2005 to December 2011) on magnetic resonance imaging studies of the brain in 4841 participants 45 years or older. Participants underwent neuropsychological testing at 2 points a mean (SD) of 5.9 (0.6) years apart and were followed up for incident dementia throughout the study period until January 1, 2013. The association of microbleeds with cognitive decline and dementia was studied using multiple linear regression, linear mixed-effects modeling, and Cox proportional hazards. EXPOSURES: Cerebral microbleed presence, location, and number. MAIN OUTCOMES AND MEASURES: Cognitive decline measured by a decrease in neuropsychological test battery scores (Mini-Mental State Examination, Letter Digit Substitution Task, Word Fluency Test, Stroop test, 15-word Verbal Learning Test, and Purdue Pegboard Test) and compound scores (eg, G factor, executive function, information processing speed, memory, motor speed) and dementia. RESULTS: In total, 3257 participants (1758 women [54.7%]; mean [SD] age, 59.6 [7.8] years) underwent baseline and follow-up cognitive testing. Microbleed prevalence was 15.3% (median [interquartile range] count, 1 [1-88]). The presence of more than 4 microbleeds was associated with cognitive decline. Lobar (with or without cerebellar) microbleeds were associated with a decline in executive functions (mean difference in z score, -0.31; 95% CI, -0.51 to -0.11; P = .003), information processing (mean difference in z score, -0.44; 95% CI, -0.65 to -0.22; P < .001), and memory function (mean difference in z score, -0.34; 95% CI, -0.64 to -0.03; P = .03), whereas microbleeds in other brain regions were associated with a decline in information processing and motor speed (mean difference in z score, -0.61; 95% CI, -1.05 to -0.17; P = .007). After a mean (SD) follow-up of 4.8 (1.4) years, 72 participants developed dementia, of whom 53 had Alzheimer dementia. The presence of microbleeds was associated with an increased risk for dementia after adjustment for age, sex, and educational level (hazard ratio, 2.02; 95% CI, 1.25-3.24), including Alzheimer dementia (hazard ratio, 2.10; 95% CI, 1.21-3.64). CONCLUSIONS AND RELEVANCE: In the general population, a high microbleed count was associated with an increased risk for cognitive deterioration and dementia. Microbleeds thus mark the presence of diffuse vascular and neurodegenerative brain damage.
Overview
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
Verification
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 cited source says what the claim attributes to it.
In the citing paper
“Studies in unimpaired populations that were longitudinally followed up showed that high microbleed number (>3–4) is associated with an increased risk of cognitive deterioration and dementia [41, 42].”
From The use of neuroimaging techniques in the early and differential diagnosis of dementia (2023) · cites this paper as [41]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Diagnostic and Statistical Manual of Mental Disorders
Williams, J. B. W., & First, M. B. (2013) · Oxford University Press eBooks · doi:10.1093/acrefore/9780199975839.013.104 · Cited by 109,845
Folstein, M. F., Folstein, S. E., & McHugh, P. R. (1975) · Journal of Psychiatric Research · doi:10.1016/0022-3956(75)90026-6 · Cited by 88,282
McKhann, G., Drachman, D., Folstein, M., Katzman, R., Price, D., & Stadlan, E. M. (1984) · Neurology · doi:10.1212/wnl.34.7.939 · Cited by 27,915
Diagnostic and Statistical Manual of Mental Disorders
&NA; (1988) · Alzheimer Disease & Associated Disorders · doi:10.1097/00002093-198802020-00022 · Cited by 12,603
McKhann, G., Drachman, D., Folstein, M., Katzman, R., Price, D. L., & Stadlan, E. (2011) · Neurology · doi:10.1212/01.wnl.0000400650.92875.cf · Cited by 9,882
Elastix: a toolbox for intensity-based medical image registration
Klein, S., Staring, M., Murphy, K., Viergever, M. A., & Pluim, J. (2010) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2009.2035616 · Cited by 4,311
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
Roth, M., Tym, E., Mountjoy, C. Q., Huppert, F. A., Hendrie, H., Verma, S., & Goddard, R. (1986) · British Journal of Psychiatry · doi:10.1192/bjp.149.6.698 · Cited by 2,090
The Rotterdam Study: objectives and design update
Albert Hofman, D., Breteler, M. M. B., van Duijn, C. M., Krestin, G. P., Pols, H. A. P., Stricker, B. H. C., Tiemeier, H. W., Uitterlinden, A. G., Vingerling, J. R., & Witteman, J. C. M. (2007) · European Journal of Epidemiology · doi:10.1007/s10654-007-9199-x · Cited by 1,408
Prevalence and risk factors of cerebral microbleeds: The Rotterdam Scan Study
Vernooij, M. W., van der Lugt, A., Ikram, M. A., Wielopolski, P. A., Niessen, W. J., Hofman, A., Krestin, G. P., & Breteler, M. M. B. (2008) · Neurology · doi:10.1212/01.wnl.0000307750.41970.d9 · Cited by 793
Self-citationvan 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
Self-citationApolipoprotein E4 allele in a population–based study of early–onset Alzheimer's disease
van Duijn, C. M., de Knijff, P., Cruts, M., Wehnert, A., Havekes, L. M., Albert Hofman, D., & Broeckhoven, C. V. (1994) · Nature Genetics · doi:10.1038/ng0594-74 · Cited by 459
Cognitive dysfunction in patients with cerebral microbleeds on T2*-weighted gradient-echo MRI
Werring, D. J. (2004) · Brain · doi:10.1093/brain/awh253 · Cited by 421
Cerebral microbleeds are associated with worse cognitive function: The Rotterdam Scan Study
Poels, M. M. F., Ikram, M. A., van der Lugt, A., Hofman, A., Niessen, W. J., Krestin, G. P., Breteler, M. M. B., & Vernooij, M. W. (2012) · Neurology · doi:10.1212/wnl.0b013e3182452928 · Cited by 378
Self-citationThe Rotterdam Study: 2014 objectives and design update
Albert Hofman, D., Murad, S. D., van Duijn, C. M., Franco, O. H., Goedegebure, A., Ikram, M. A., Klaver, C. C. W., Nijsten, T. E. C., Peeters, R. P., Stricker, B. H. C., et al. (2013) · European Journal of Epidemiology · doi:10.1007/s10654-013-9866-z · Cited by 335
Self-citationWhite matter lesion extension to automatic brain tissue segmentation on MRI
de Boer, R., Vrooman, H. A., van der Lijn, F., Vernooij, M. W., Ikram, M. A., van der Lugt, A., Breteler, M. M. B., & Niessen, W. J. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.01.011 · Cited by 329
Self-citationBrain microbleeds and Alzheimer’s disease: innocent observation or key player?
Cordonnier, C., & van der Flier, W. M. (2011) · Brain · doi:10.1093/brain/awq321 · Cited by 310
Prevalence and severity of microbleeds in a memory clinic setting
Cordonnier, C., van der Flier, W. M., Sluimer, J. D., Leys, D., Barkhof, F., & Scheltens, P. (2006) · Neurology · doi:10.1212/01.wnl.0000210535.20297.ae · Cited by 305
Tanaka, A., Ueno, Y., Nakayama, Y., Takano, K., & Takebayashi, S. (1999) · Stroke · doi:10.1161/01.str.30.8.1637 · Cited by 293
Pettersen, J. A., Sathiyamoorthy, G., Gao, F., Szilagyi, G. M., Nadkarni, N. K., George‐Hyslop, P. S., Rogaeva, E. A., & Black, S. E. (2008) · Archives of Neurology · doi:10.1001/archneur.65.6.790 · Cited by 269
White matter lesions, cognition, and recurrent hemorrhage in lobar intracerebral hemorrhage
Smith, E. E., Gurol, M. E., Eng, J. A., Engel, C., Nguyen, T. N., Rosand, J. M., & Greenberg, S. M. (2004) · Neurology · doi:10.1212/01.wnl.0000142966.22886.20 · Cited by 253
Cerebral microbleeds, retinopathy, and dementia: The AGES-Reykjavik Study
Qiu, C., Cotch, M. F., Sigurdsson, S., Jonsson, P. V., Jonsdottir, M. K., Sveinbjrnsdottir, S., Eiriksdottir, G., Klein, R., Harris, T. B., van Buchem, M. A., et al. (2010) · Neurology · doi:10.1212/wnl.0b013e3182020349 · Cited by 237
Cerebrovascular Disease and Mechanisms of Cognitive Impairment
Kalaria, R. N. (2012) · Stroke · doi:10.1161/strokeaha.112.655803 · Cited by 234
Marchesi, V. T. (2011) · The FASEB Journal · doi:10.1096/fj.11-0102ufm · Cited by 232
Drachman, D. A. (2014) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2013.11.003 · Cited by 224
Goos, J. D. C., Kester, M. I., Barkhof, F., Klein, M., Blankenstein, M. A., Scheltens, P., & van der Flier, W. M. (2009) · Stroke · doi:10.1161/strokeaha.109.558197 · Cited by 213
Patterns of cognitive function in aging: the Rotterdam Study
Hoogendam, Y. Y., Albert Hofman, D., van der Geest, J. N., van der Lugt, A., & Ikram, M. A. (2014) · European Journal of Epidemiology · doi:10.1007/s10654-014-9885-4 · Cited by 201
Self-citationCerebral microbleeds: overview and implications in cognitive impairment
Martínez‐Ramírez, S., Greenberg, S. M., & Viswanathan, A. (2014) · Alzheimer s Research & Therapy · doi:10.1186/alzrt263 · Cited by 196
Self-citationClinical Significance of Microbleeds in Subcortical Vascular Dementia
Won Seo, S., Hwa Lee, B., Kim, E.-J., Chin, J., Sun Cho, Y., Yoon, U., & Na, D. L. (2007) · Stroke · doi:10.1161/strokeaha.106.477315 · Cited by 185
Silent intracerebral microhemorrhages in patients with ischemic stroke
Kwa, V. I. H., Franke, C. L., Verbeeten, B. W. J. M., Stam, J., & For the Amsterdam Vascular Medicine Group (1998) · Annals of Neurology · doi:10.1002/ana.410440313 · Cited by 171
Cerebral microbleeds and vascular cognitive impairment.
Werring, D. J., Gregoire, S. M., & Cipolotti, L. (2010) · Journal of the Neurological Sciences · doi:10.1016/j.jns.2010.08.034 · Cited by 143
Incidence of cerebral microbleeds
Goos, J. D. C., Henneman, W. J. P., Sluimer, J. D., Vrenken, H., Sluimer, I. C., Barkhof, F., Blankenstein, M. A., Scheltens, P., & van der Flier, W. M. (2010) · Neurology · doi:10.1212/wnl.0b013e3181e396ea · Cited by 136
Cerebral Amyloid Angiopathy and Vessel Dysfunction
Greenberg, S. M. (2002) · Cerebrovascular Diseases · doi:10.1159/000049149 · Cited by 135
The Rotterdam Scan Study: design and update up to 2012
Ikram, M. A., van der Lugt, A., Niessen, W. J., Krestin, G. P., Koudstaal, P. J., Albert Hofman, D., Breteler, M. M. B., & Vernooij, M. W. (2011) · European Journal of Epidemiology · doi:10.1007/s10654-011-9624-z · Cited by 127
Self-citationvan Norden, A. G. W., van den Berg, H. A. C., de Laat, K. F., Gons, R. A. R., van Dijk, E. J., & de Leeuw, F.-E. (2011) · Stroke · doi:10.1161/strokeaha.111.629634 · Cited by 122
Baumgartner, R. W., Sidler, C., Mosso, M., & Georgiadis, D. (2003) · Stroke · doi:10.1161/01.str.0000058486.68044.3b · Cited by 116
MRI correlates of cognitive decline in CADASIL: A 7-year follow-up study
Liem, M. K., Lesnik Oberstein, S. A. J., Haan, J., van der Neut, I. L., Ferrari, M. D., van Buchem, M. A., Middelkoop, H. A. M., & van der Grond, J. (2009) · Neurology · doi:10.1212/01.wnl.0000339038.65508.96 · Cited by 104
Cerebral microbleeds in Alzheimer?s disease
Hanyu, H., Tanaka, Y., Shimizu, S., Takasaki, M., & Abe, K. (2003) · Journal of Neurology · doi:10.1007/s00415-003-0245-7 · Cited by 101
Gregoire, S. M., Smith, K. V., Jäger, H. R., Benjamin, M., Kallis, C., Brown, M. M., Cipolotti, L., & Werring, D. J. (2012) · Cerebrovascular Diseases · doi:10.1159/000336237 · Cited by 92
Janaway, B. M., Simpson, J. E., Hoggard, N., Highley, J. R., Forster, G., Drew, D., Gebril, O. H., Matthews, F. E., Brayne, C., Wharton, S. B., et al. (2013) · Neuropathology and Applied Neurobiology · doi:10.1111/nan.12062 · Cited by 86
Microbleeds do not affect rate of cognitive decline in Alzheimer disease
van der Vlies, A. E., Goos, J. D. C., Barkhof, F., Scheltens, P., & van der Flier, W. M. (2012) · Neurology · doi:10.1212/wnl.0b013e3182661f91 · Cited by 79
Lobar Distribution of Cerebral Microbleeds
Mesker, D. J., Poels, M. M. F., Ikram, M. A., Vernooij, M. W., Albert Hofman, D., Vrooman, H. A., van der Lugt, A., & Breteler, M. M. B. (2011) · Archives of Neurology · doi:10.1001/archneurol.2011.93 · Cited by 72
Self-citationYakushiji, Y., Noguchi, T., Hara, M., Nishihara, M., Eriguchi, M., Nanri, Y., Nishiyama, M., Hirotsu, T., Nakajima, J., Kuroda, Y., et al. (2012) · Stroke · doi:10.1161/strokeaha.111.647065 · Cited by 72
Cerebral Microbleeds, CSF p-Tau, and Cognitive Decline: Significance of Anatomic Distribution
Chiang, G. C.-Y., Hernández, J. C. C., Kantarci, K., Jack, C. R., Weiner, M. W., & Initiative, A. D. N. (2015) · American Journal of Neuroradiology · doi:10.3174/ajnr.a4351 · Cited by 71
Cerebral microbleeds and cognitive functioning in the PROSPER study
van Es, A. C. G. M., van der Grond, J., de Craen, A. J. M., Westendorp, R. G. J., Bollen, E. L. E. M., Blauw, G. J., Greenberg, S. M., van Buchem, M. A., & For the PROSPER Study Group (2011) · Neurology · doi:10.1212/wnl.0b013e318232ab1d · Cited by 70
Lobar Microbleeds Are Associated with a Decline in Executive Functioning in Older Adults
Meier, I. B., Gu, Y., Guzaman, V. A., Wiegman, A. F., Schupf, N., Manly, J. J., Luchsinger, J. A., Viswanathan, A., Martínez‐Ramírez, S., Greenberg, S. M., et al. (2014) · Cerebrovascular Diseases · doi:10.1159/000368998 · Cited by 59
Self-citationGregoire, S. M., Scheffler, G., Jäger, H. R., Yousry, T. A., Brown, M. M., Kallis, C., Cipolotti, L., & Werring, D. J. (2013) · Stroke · doi:10.1161/strokeaha.111.000245 · Cited by 58
Takashima, Y., Mori, T., Hashimoto, M., Kinukawa, N., Uchino, A., Yuzuriha, T., & Yao, H. (2010) · Journal of Stroke and Cerebrovascular Diseases · doi:10.1016/j.jstrokecerebrovasdis.2009.11.007 · Cited by 57
Copeland, J. R. M., Dewey, M. E., & Saunders, P. (1991) · European Archives of Psychiatry and Clinical Neuroscience · doi:10.1007/bf02189529 · Cited by 44
Pathophysiology of Cerebral Small Vessels in Vascular Cognitive Impairment
Pantoni, L., & Simoni, M. (2003) · International Psychogeriatrics · doi:10.1017/s1041610203008974 · Cited by 43
Apolipoprotein E genotype influences spatial distribution of cerebral microbleeds
Loehrer, E. A., Ikram, M. A., Akoudad, S., Vrooman, H. A., van der Lugt, A., Niessen, W. J., Albert Hofman, D., & Vernooij, M. W. (2013) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2013.09.012 · Cited by 24
Self-citationDoi, H., Inamizu, S., Saitoh, B., Murai, H., Araki, T., & Kira, J. (2015) · Internal Medicine · doi:10.2169/internalmedicine.54.3747 · Cited by 14
Cerebral microbleeds, retinopathy, and dementia The AGES-Reykjavik Study
Qiu, C., Cotch, M. F., Sigurdsson, S., Jonsson, P. V., Jonsdottir, M. K., Sveinbjornsdottir, S., Eiriksdottir, G., Klein, R., Harris, T. B., Buchem, M. V., et al. (2010) · Leiden Repository (Leiden University) · Cited by 9
Goos, J. D. C., Kester, M. I., Barkhof, F., Klein, M., Blankenstein, M. A., Scheltens, P., & van der Flier, W. M. (2009) · Digital Academic REpository of VU University Amsterdam (Vrije Universiteit Amsterdam) · Cited by 6
Incidence of cerebral microbleeds A longitudinal study in a memory clinic population
Goos, J., Henneman, W., Sluimer, J., Vrenken, H., Sluimer, I., Barkhof, F., Blankenstein, M. A., Scheltens, P., & van der Flier, W. (2010) · UCL Discovery (University College London) · Cited by 4
Flagged first, then by citations
3 of the 58 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Impact of multiple pathologies on the threshold for clinically overt dementia
Kapasi, A., DeCarli, C., & Schneider, J. A. (2017) · Acta Neuropathologica · doi:10.1007/s00401-017-1717-7 · Cited by 739
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 771
The Epidemiology of Alzheimer's Disease Modifiable Risk Factors and Prevention
Zhang, X.-X., Tian, Y., Wang, Z.-T., Ma, Y.-H., Tan, L., & Yu, J.-T. (2021) · The Journal of Prevention of Alzheimer's Disease · doi:10.14283/jpad.2021.15 · Cited by 789
Cerebral Perfusion and the Risk of Dementia
Wolters, F. J., Zonneveld, H. I., Albert Hofman, D., van der Lugt, A., Koudstaal, P. J., Vernooij, M. W., & Ikram, M. A. (2017) · Circulation · doi:10.1161/circulationaha.117.027448 · Cited by 539
Self-citationNeurovascular and Cognitive Dysfunction in Hypertension
Iadecola, C., & Gottesman, R. F. (2019) · Circulation Research · doi:10.1161/circresaha.118.313260 · Cited by 530
Metadata
- Authors
- Akoudad, S., Wolters, F. J., Viswanathan, A., de Bruijn, R. F., van der Lugt, A., Hofman, A., Koudstaal, P. J., Ikram, M. A., & Vernooij, M. W.
- Affiliations
- Erasmus MC (NL)
- Harvard University (US)
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
- Corresponding author
- Ikram, M. Arfan
- ORCID
- Venue
- JAMA Neurology
- Publisher
- American Medical Association (AMA)
- Published
- 2016-08-01
- Volume
- 73
- Issue
- 8
- Pages
- 934
- ISSN
- 2168-6149 (ISSN-L)
- PMC
- PMC5966721
- OpenAlex
- W2410623364
- Cited by
- 403
- References
- 58
- Citations by year
- 2026: 34 · 2025: 34 · 2024: 40 · 2023: 48 · 2022: 52 · 2021: 53 · 2020: 44 · 2019: 35 · 2018: 26 · 2017: 25 · 2016: 9
- FWCI
- 28.14
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- JAMA Neurology (publishedVersion)
- PubMed (publishedVersion)
- EUR Research Repository (Erasmus University Rotterdam) (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- EUR Research Repository (Erasmus University Rotterdam) (submittedVersion)
- Funders
- European Commission
- ZonMw (90700435)
- Erasmus Medisch Centrum
- National Institutes of Health
- Erasmus Universitair Medisch Centrum Rotterdam
- National Institute on Aging (R01AG047975)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Health Sciences › Medicine › Clinical Neurology › Intracerebral and Subarachnoid Hemorrhage Research
- Health Sciences › Medicine › Clinical Neurology › Cerebrovascular and genetic disorders
- Keywords
- cerebral microbleeds, cognitive decline, dementia, lobar microbleeds, executive function, processing speed, memory impairment, white matter hyperintensities, cerebral small vessel disease, vascular dementia, Alzheimer's disease, amyloid, Rotterdam Study, general population, incident dementia risk
- MeSH terms
- Aged, Aged, 80 and over, Brain, Cerebral Hemorrhage, Cognition Disorders, Dementia, Female, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Male, Middle Aged, Netherlands, Neuropsychological Tests, Psychiatric Status Rating Scales, Retrospective Studies, Statistics as Topic, Community Health Planning
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