Cited by 542Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatmentsCerebrovascular and genetic disorders

The DOI matches its Crossref record; 51 of the 51 references it cites were found in a registry or an index.

White matter hyperintensities are a core feature of Alzheimer’s disease: evidence from the dominantly inherited Alzheimer network

Open access

Lee, Seonjoo, Viqar, Fawad, Zimmerman, Molly E., Narkhede, Atul, Tosto, Giuseppe, Benzinger, Tammie L.S., Marcus, Daniel S., Fagan, Anne M., Goate, Alison, Fox, Nick C., Cairns, Nigel J., Holtzman, David M., Buckles, Virginia, 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., for the Dominantly Inherited Alzheimer Network·2016·Annals of Neurology

DOI 10.1002/ana.24647PMC PMC4884146

Open this paper in CoChat — free account Open PDF

Abstract

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

Crossref · 10.1002/ana.24647

Cites

51 of 51 references verified0 citation errors · 0 not checkable

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?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

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
Tracking pathophysiological processes in Alzheimer's disease: an updated hypothetical model of dynamic biomarkers
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
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
Self-citation
Vascular Contributions to Cognitive Impairment and Dementia: A Statement for Healthcare Professionals From the American Heart Association/American Stroke Association
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
Cerebral small vessel disease: from pathogenesis and clinical characteristics to therapeutic challenges
Pantoni, L. (2010) · The Lancet Neurology · doi:10.1016/s1474-4422(10)70104-6 · Cited by 3,405
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
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
The clinical importance of white matter hyperintensities on brain magnetic resonance imaging: systematic review and meta-analysis
Debette, S., & Markus, H. S. (2010) · BMJ · doi:10.1136/bmj.c3666 · Cited by 2,328
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
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
Self-citation

Flagged first, then by citations

Show all 51 references

Research works printed but not linked: 1

10.1080/01621459.1970.10481147 · DOI

Sorted by citations

Items 401–500 of 542

NEUROIMÁGENES EN DEMENCIAS
Rojas, G., David Ladrón de Guevara, H., Rodrigo Jaimovich, F., Brunetti, E. P., Faure, E., & Marcelo Gálvez, M. (2016) · Revista Médica Clínica Las Condes · doi:10.1016/j.rmclc.2016.06.008 · Cited by 4
Association of Plasma Oligomerized Amyloid-β and Cerebral White Matter Lesions in a Health Screening Population
Jung, K.-H., Park, K.-I., Lee, W.-J., Son, H., Chu, K., & Lee, S. K. (2021) · Journal of Alzheimer s Disease · doi:10.3233/jad-215399 · Cited by 4
Automatic detection of white matter hyperintensities via mask region-based convolutional neural networks using magnetic resonance images
Uçar, G., & Dandıl, E. (2022) · Elsevier eBooks · doi:10.1016/b978-0-12-824145-5.00006-x · Cited by 4
T1 and FLAIR signal intensities are related to tau pathology in dominantly inherited Alzheimer disease
Rahmani, F., Brier, M. R., Gordon, B. A., McKay, N. S., Flores, S. E., Keefe, S., Hornbeck, R. C., Ances, B. M., Joseph‐Mathurin, N., Xiong, C., et al. (2023) · Human Brain Mapping · doi:10.1002/hbm.26514 · Cited by 3
Association between Gray and White Matter Lesions and Its Involvement in Clinical Symptoms of Alzheimer’s-Type Dementia
Nakase, T., Thyreau, B., Tatewaki, Y., Tomita, N., Takano, Y., Muranaka, M., & Taki, Y. (2023) · Journal of Clinical Medicine · doi:10.3390/jcm12247642 · Cited by 4
Pulse pressure and APOE ε4 dose interact to affect cerebral blood flow in older adults without dementia
Edwards, L., Thomas, K. R., Weigand, A. J., Edmonds, E. C., Clark, A. L., Brenner, E. K., Banks, S. J., Gilbert, P. E., Nation, D. A., Delano‐Wood, L., et al. (2024) · Cerebral Circulation - Cognition and Behavior · doi:10.1016/j.cccb.2024.100206 · Cited by 4
Enhanced Detection of White Matter Hyperintensities via Deep Learning-Enabled MR Imaging Segmentation
Uçar, G., & Dandıl, E. (2024) · Traitement du signal · doi:10.18280/ts.410101 · Cited by 4
A multivariate to multivariate approach for voxel‐wise genome‐wide association analysis
Wu, Q., Zhang, Y., Huang, X., Ma, T., Hong, L. E., Kochunov, P., & Chen, S. (2024) · Statistics in Medicine · doi:10.1002/sim.10101 · Cited by 4
Synergistic effect of folate and MTHFR C677T on hippocampal subfields and perfusion in Alzheimer's disease
Tang, Y., Zhou, X., Cao, J., Li, Z., Yin, W., Wan, K., Huang, C., Zhu, W., Yin, J., Zhang, W., et al. (2024) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2024.111071 · Cited by 3
Structural damage-driven brain compensation among near-centenarians and centenarians without dementia
Tang, H., Zhao, H., Liu, H., Jiang, J., Kochan, N. A., Jing, J., Brodaty, H., Wen, W., Sachdev, P. S., & Liu, T. (2025) · NeuroImage · doi:10.1016/j.neuroimage.2025.121065 · Cited by 3
Sex differences in sleep apnea and Alzheimer’s Disease: role of cerebrovascular dysfunction
Greenlund, I. M., Barnes, J. N., Baker, S. E., Somers, V. K., & Bock, J. M. (2025) · npj Women s Health · doi:10.1038/s44294-025-00076-w · Cited by 3
Regional growth rates of white matter hyperintensities are associated with beta-amyloid burden
Strain, J. F., Rahmani, M., Phuah, C., Dierker, D. L., Luo, J. R., Owen, C., Vlassenko, A. G., Jafri, H., Bourgeat, P., Fripp, J., et al. (2025) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2025.12.006 · Cited by 3
Genetic Predisposition for White Matter Hyperintensities and Risk of Mild Cognitive Impairment and Alzheimer’s Disease: Results from the HELIAD Study
Sampatakakis, S. N., Mourtzi, N., Charisis, S., Mamalaki, E., Ntanasi, E., Hatzimanolis, A., Ramı́rez, A., Lambert, J., Yannakoulia, M., Kosmidis, M. H., et al. (2024) · Current Issues in Molecular Biology · doi:10.3390/cimb46010060 · Cited by 2
Familial cerebral amyloid disorders with prominent white matter involvement
Banerjee, G., Schott, J. M., & Ryan, N. S. (2024) · Handbook of clinical neurology · doi:10.1016/b978-0-323-99209-1.00010-7 · Cited by 3
‘Complicating factors’: the protective role of occupational data complexity on processing speed and brain health of older adults
Costello, N., Knight, S. P., Symonds, J. E., & Santos, F. H. (2025) · Aging & Mental Health · doi:10.1080/13607863.2025.2515183 · Cited by 3
A pathway linking pulse pressure to dementia in adults with Down syndrome
Rizvi, B. M., Lao, P. J., Sathishkumar, M. T., Taylor, L., Queder, N., McMillan, L. C., Edwards, N. C., Keator, D. B., Doran, E. W., Hom, C. L., et al. (2024) · Brain Communications · doi:10.1093/braincomms/fcae157 · Cited by 3
Genetic testing in dementia
O’Connor, A., Ryan, N. S., Belder, C. R. S., Lynch, D. S., Lahiri, N., Houlden, H., Rohrer, J. D., Fox, N. C., & O’Dowd, S. (2024) · Practical Neurology · doi:10.1136/pn-2024-004241 · Cited by 4
Associations of high-sensitivity C-reactive protein with neuropsychological outcomes and cerebral white matter hyperintensities in older adults at risk of dementia
Yu, R., Kong, S. D. X., Ireland, C., Steiner-Lim, G. Z., Bassett, K., Almgren, H., Wang, D., Wang, C., Michaelian, J. C., & Naismith, S. L. (2024) · Brain Behavior & Immunity - Health · doi:10.1016/j.bbih.2024.100924 · Cited by 4
Brain age identification from diffusion MRI synergistically predicts neurodegenerative disease
Gao, C., Kim, M. E., Ramadass, K., Kanakaraj, P., Krishnan, A. R., Saunders, A. M., Newlin, N. R., Lee, H. H., Yang, Q., Taylor, W. D., et al. (2025) · Imaging Neuroscience · doi:10.1162/imag_a_00552 · Cited by 3
Structural MRI in Alzheimer’s Disease
Last, B. S., Rizvi, B. M., & Brickman, A. M. (2020) · Oxford University Press eBooks · doi:10.1093/oso/9780190634230.003.0010 · Cited by 3
Refining Alzheimer’s disease diagnosis with MRI
Coulthard, E. J., & Knight, M. J. (2016) · Brain · doi:10.1093/brain/aww335 · Cited by 3
White matter hyperintensity modulates the amyloid‐tau‐cognition association and anti‐amyloid treatment efficacy in asymptomatic older adults
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 3
Decoding Brain Structure and Gene Expression Interactions in Alzheimer’s Disease Pathology
Niwarthana, A., Kasi, C., Chan, Y. H., Wang, C., & Rajapakse, J. C. (2025) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp49660.2025.10888440 · Cited by 2
Cerebrospinal fluid YKL‐40 relates to white matter hyperintensity progression in females but not males over a 6‐year period
Peterson, A. J., Sun, Y., Archer, D. B., Kresge, H. A., Moore, E. E., Deberghes, I., Pechman, K. R., Shashikumar, N., Robb, W. H., Workmeister, A. W., et al. (2025) · Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring · doi:10.1002/dad2.70110 · Cited by 2
Impact of cerebral small vessel disease on cognitive outcomes in early age at onset MCI and dementia: Findings from the DIASPORA study
Naftali, J., Glik, A., Eliahou, R., Rabninovici, G. D., Rosen, H. J., Elahi, F. M., Benninger, F., Goldberg, I., Auriel, E., & Keret, O. (2025) · Alzheimer s & Dementia · doi:10.1002/alz.70773 · Cited by 2
Cognitive dispersion is associated with white matter hyperintensities in amyloid positive older adults
Ross, D., Chang, F., Edwards, L., Thomas, K. R., Bangen, K. J., & Initiative, A. D. N. (2025) · The Clinical Neuropsychologist · doi:10.1080/13854046.2025.2570301 · Cited by 2
White Matter Hyperintensities in Behavioral Variant Frontotemporal Dementia and Semantic Variant Primary Progressive Aphasia
Hadad, R., Cobigo, Y., Milicic, A., Tsoy, E., Mandelli, M. L., Wolf, A. A., Gaynor, L. S., Possin, K. L., Allen, I., Kramer, J., et al. (2026) · Neurology Open Access · doi:10.1212/wn9.0000000000000064 · Cited by 2
White matter hyperintensities in Alzheimer's disease in the era of anti‐amyloid therapies
Garnier‐Crussard, A., Dadar, M., Villain, N., Charidimou, A., Boulouis, G., Cotton, F., Brickman, A. M., & Chételat, G. (2026) · Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring · doi:10.1002/dad2.70349 · Cited by 2
The Microglial Transcriptome of Age-Associated Deep Subcortical White Matter Lesions Suggests a Neuroprotective Response to Blood–Brain Barrier Dysfunction
Almansouri, T., Waller, R., Wharton, S. B., Heath, P. R., Matthews, F. E., Brayne, C., Eeden, F. V., & Simpson, J. E. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms25084445 · Cited by 2
Onset ages of cerebrovascular disease and amyloid and effects on cognition in risk-enriched cohorts
Du, L., Planalp, E. M., Betthauser, T. J., Jonaitis, E. M., Hermann, B. P., Rivera‐Rivera, L. A., Cody, K. A., Chin, N. A., Cadman, R. V., Johnson, K. M., et al. (2025) · Brain Communications · doi:10.1093/braincomms/fcaf158 · Cited by 3
The Effect of White Matter Hyperintensity Burden on Antidepressant Treatment Remission: A Meta-Analysis
Egglefield, D. A., Bursky, M., Schiff, S., Rindskopf, D., & Sneed, J. R. (2025) · American Journal of Geriatric Psychiatry · doi:10.1016/j.jagp.2025.05.001 · Cited by 3
Quantitative analysis of cerebral vasculature and its clinical effect on cognitive change in Alzheimer's dementia and mild cognitive impairment
Kim, T., Zhang, K., Zhu, T., Song, I., Na, S., Hippe, D. S., Cantón, G., Hatsukami, T. S., Yuan, C., Mossa‐Basha, M., et al. (2025) · Journal of the Neurological Sciences · doi:10.1016/j.jns.2025.123598 · Cited by 2
Brain Single-Cell Transcriptional Responses to Bexarotene-Activated RXR in an Alzheimer’s Disease Model
Girardi, C. S., Yi, L., Fitz, N. F., Gelain, D. P., Lefterov, I. M., & Koldamova, R. P. (2026) · International Journal of Molecular Sciences · doi:10.3390/ijms27052435 · Cited by 2
The role of cerebrovascular disease in aging and Alzheimer's disease among people with Down syndrome
Rizvi, B. M., Head, E., & Brickman, A. M. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-818845-3.00012-8 · Cited by 2
Distinct patterns of voxel‐ and connection‐based white matter hyperintensity distribution and associated factors in early‐onset and late‐onset Alzheimer's disease
Hong, H., Chen, Y., Liu, W., Luo, X., Zhang, M., & Initiative, A. D. N. (2024) · Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring · doi:10.1002/dad2.12585 · Cited by 1
The Rise and Rise of Cerebral Small Vessel Disease: Implications for Vascular Cognitive Impairment and Dementia
Kalaria, R. N., Hase, Y., & Ihara, M. (2019) · Future Neurology · doi:10.2217/fnl-2019-0004 · Cited by 2
White matter changes in empirically derived incident MCI subtypes in the Mayo Clinic Study of Aging
Machulda, M. M., Lundt, E. S., Mester, C. T., Albertson, S. M., Raghavan, S., Reid, R. I., Schwarz, C. G., Graff‐Radford, J., Jack, C. R., Knopman, D. S., et al. (2021) · Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring · doi:10.1002/dad2.12269 · Cited by 1
Ventricular expansion, white matter hyperintensities, and global cognition in Alzheimer’s disease and normal agingPreprint
Adamo, S. M., Ramirez, J., Holmes, M. F., Gao, F., Zotovic, L., Masellis, M., & Black, S. E. (2020) · medRxiv · doi:10.1101/2020.11.30.20240879 · Cited by 3
From genes to network models of Alzheimer's disease: Biological framework for multi-scale brain simulation with The Virtual BrainPreprint
Stefanovski, L., Meier, J. M., Pai, R. K., Triebkorn, P., Lett, T. A. P., Martin, L., Bülau, K., Hofmann‐Apitius, M., Solodkin, A., McIntosh, A. R., et al. (2020) · PsyArXiv (OSF Preprints) · doi:10.31234/osf.io/4t5qa · Cited by 2
WHITE-Net: White matter HyperIntensities Tissue Extraction using deep learning NetworkPreprint
Cathala, C., Roduit, V., Carneiro, F., Heffernan, M., Vanderbecq, Q., Colliot, O., Kherif, F., Thiran, J., Bussy, A., & Draganski, B. (2025) · medRxiv · doi:10.1101/2025.01.09.25320242 · Cited by 2
Characterizing spatiotemporal white matter hyperintensity pathophysiology in vivo to disentangle vascular and neurodegenerative contributionsPreprint
Parent, O., Alasmar, Z., Osborne, S., Bussy, A., Costantino, M., Fouquet, J. P., Quesada, D., Pastor-Bernier, A., Fajardo-Valdez, A., Binette, A. P., et al. (2025) · medRxiv · doi:10.1101/2025.06.10.25329342 · Cited by 6
Clinical Applications of PET-MRI Technique in Alzheimer’s Disease
Chen, L. (2023) · Highlights in Science Engineering and Technology · doi:10.54097/hset.v45i.7306 · Cited by 1
A hydrolyzed lipid blend diet promotes myelination in neonatal piglets in a region and concentration‐dependent manner
Louie, A. Y., Rund, L. A., Komiyama‐Kasai, K. A., Weisenberger, K. E., Stanke, K. L., Larsen, R. J., Leyshon, B. J., Kuchan, M. J., Das, T., & Steelman, A. J. (2023) · Journal of Neuroscience Research · doi:10.1002/jnr.25243 · Cited by 1
The bidirectional links between coronavirus disease 2019 and Alzheimer’s disease
Nouraeinejad, A. (2024) · International Journal of Neuroscience · doi:10.1080/00207454.2024.2327403 · Cited by 1
Cortical Thickness Correlates of Go/No-go and Motor Sequencing in Mild Cognitive Impairment and Suspected Alzheimer Disease Dementia
Keith, C. M., Lindberg, K. E., Wilhelmsen, K. C., Mehta, R. I., Teixeira, C. V. L., Miller, M. D., Ward, M., Navia, R. O., McCuddy, W. T., Miller, L. E., et al. (2024) · Cognitive and Behavioral Neurology · doi:10.1097/wnn.0000000000000376 · Cited by 1
Association between large neutral amino acids and white matter hyperintensities in middle-aged adults at varying metabolic risk
Youn, C., Caillaud, M. L., Li, Y., Gallagher, I. A., Strasser, B., Fuchs, D., Tanaka, H., & Haley, A. P. (2024) · Brain Imaging and Behavior · doi:10.1007/s11682-024-00937-z · Cited by 1
White matter hyperintensities contribute to early cortical thinning in addition to tau in aging
Leone, R., & Kobeleva, X. (2025) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2025.07.007 · Cited by 1
Gait speed and muscle mass as dual mediators in the link between white matter hyperintensities and Alzheimer's disease
Kim, J., Yang, H. J., Park, S., Kim, B. S., & Park, J. H. (2025) · Journal of Alzheimer s Disease · doi:10.1177/13872877251362424 · Cited by 1
Increased white matter hyperintensities on MRI in autosomal dominant familial compared to sporadic Alzheimer’s disease
Accorroni, A., Fraser, M. R., Walsh, P., O’Connor, A., Cardoso, M. J., Prosser, L., Fox, N. C., Sudre, C. H., & Ryan, N. S. (2025) · Aging and Health Research · doi:10.1016/j.ahr.2025.100255 · Cited by 1
The role of cognitive reserve in white matter hyperintensities: from cognitive aging to Alzheimer's spectrum
Lin, Y., Lee, W., & Fuh, J. (2025) · Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring · doi:10.1002/dad2.70167 · Cited by 1
Impact of regional white matter hyperintensity patterns on cognitive trajectories in NACC
Rotblatt, L. J., Edwards, L., Erani, F. R., Terao, C. M., Bangen, K. J., & Thomas, K. R. (2025) · Alzheimer s & Dementia · doi:10.1002/alz.70764 · Cited by 2
Probabilistic maps of white matter hyperintensity in a Chinese aging cohort and application for clinical diagnosis
Cai, X., Luo, X., Guo, L., Gu, Y., Yang, Q., Li, Y., Zhang, M., Wu, J., He, Q., Zhang, X., et al. (2025) · European Radiology · doi:10.1007/s00330-025-12064-4 · Cited by 1
Heart rate response and recovery during exercise and dementia risk: a prospective UK biobank study
Wei, Y., Shan, Y., Fan, W., Huang, X., Ding, J., Mao, M., Liu, Q., Tian, M., Li, X., Lu, J., et al. (2025) · Scientific Reports · doi:10.1038/s41598-025-22299-2 · Cited by 1
Polygenic risk for white matter hyperintensities is associated with early cerebrovascular events partly through hemodynamic measures in cognitively unimpaired middle-aged and older adults with low cardiovascular risk
Genius, P., Rodríguez‐Fernández, B., Minguillón, C., Brugulat‐Serrat, A., Huguet, J., Esteller, M., Sudre, C. H., Cortés‐Canteli, M., Tristão‐Pereira, C., García‐Lunar, I., et al. (2026) · Frontiers in Neurology · doi:10.3389/fneur.2025.1667424 · Cited by 1
Correlation of White Matter Lesions, Cerebral Blood Flow, and Cognitive Decline in Patients With Alzheimer’s Disease and Vascular Dementia
Ye, M., & Pan, X. (2025) · Archives of Clinical Neuropsychology · doi:10.1093/arclin/acaf113 · Cited by 1
Perilesional white matter gradients reveal microstructural differences in cerebral amyloid angiopathy versus Alzheimer's disease
Yang, X., Zhang, G., Xie, F., Wang, Y., Zheng, Y., Huang, Q., Wang, W., Xu, W., Guan, Y., Liu, J., et al. (2026) · Alzheimer s & Dementia · doi:10.1002/alz.71182 · Cited by 1
Estimating the baseline age when longitudinal changes in biomarkers accelerate: application to an imaging study of preclinical Alzheimer disease
Xiong, C., Agboola, F., & Luo, J. (2026) · BMC Medical Research Methodology · doi:10.1186/s12874-026-02806-3 · Cited by 1
Association of White Matter Hyperintensities, Regional Brain Glucose Metabolism, and Cognitive Impairment in Aβ-Negative Patients
So, M., Seo, S., Kim, D., Lee, S., Lim, H., Yoon, Y. J., Kim, D., Han, H., Jun, Y., Seo, D., et al. (2026) · Neurology · doi:10.1212/wnl.0000000000214772 · Cited by 1
Spatial coupling of enlarged perivascular spaces and white matter lesions across the Alzheimer's disease continuum
Tang, S., Thropp, P., Hausle, I., Younes, K., & Tosun, D. (2026) · Frontiers in Neuroscience · doi:10.3389/fnins.2026.1772024 · Cited by 1
Dysregulated TIE ‐2 expression is associated with blood‐brain barrier leakiness and Alzheimer's disease‐related neuropathology
Ince, S., Hulle, C. V., Kollmorgen, G., Quijano‐Rubio, C., Gleason, C. E., Bendlin, B. B., Okonkwo, O. C., Asthana, S., Blennow, K., Zetterberg, H., et al. (2026) · Brain Pathology · doi:10.1111/bpa.70109 · Cited by 1
Loss of endogenous tau suppresses APOE4-induced patterned behavioral decline and axon dysmorphia in a model of Alzheimer's disease
Cardona, E. A., Webber, C. J., Wu, Z., Bolton, B., Cenik, E. S., & Pierce-Shimomura, J. T. (2026) · Disease Models & Mechanisms · doi:10.1242/dmm.052469 · Cited by 1
Operationalizing diffusion magnetic resonance imaging positivity for detection of vascular contributions to impairment and dementia
Hu, M., Przybelski, S. A., Therneau, T. M., Lundt, E. S., Wiste, H. J., Mester, C. T., Kamykowski, M. G., Reid, R. I., Machulda, M. M., Knopman, D. S., et al. (2026) · Alzheimer s & Dementia · doi:10.1002/alz.71438 · Cited by 1
Cerebral amyloid-β burden and white matter injury: associations, clues for underlying mechanisms, and implication on cognitive trajectory after lecanemab therapy
Shi, K., Luo, X., Liu, T., Liu, W.-Z., Dong, Y.-F., Zheng, F.-B., Zhou, X., Xing, J.-S., Sun, Z.-H., Chen, Q.-Q., et al. (2026) · Journal of Advanced Research · doi:10.1016/j.jare.2026.08.057 · Cited by 1
Brain white matter hyperintensity lesion characterization in 3D T2 fluid-attenuated inversion recovery magnetic resonance images: Shape, texture, and their correlations with potential growth
Gwo, C., Zhu, D. C., & Zhang, R. (2022) · Frontiers in Neuroscience · doi:10.3389/fnins.2022.1028929 · Cited by 1
New insights in non-motor symptoms in Parkinson’s disease
Falup‐Pecurariu, C., Fanciulli, A., Borgohain, R., Chaudhuri, К. R., & Metta, V. (2024) · Frontiers research topics · doi:10.3389/978-2-8325-4722-9 · Cited by 1
Exome sequencing of a Portuguese cohort of early-onset Alzheimer’s disease implicates the X-linked lysosomal gene GLA
Tábuas‐Pereira, M., Brás, J., Taipa, R. J. F., Tredici, K. D., Paquette, K., Chaudhry, S. R., DenHaan, K., Durães, J., Lima, M., Bernardes, C., et al. (2025) · Scientific Reports · doi:10.1038/s41598-025-95183-8 · Cited by 1
RELATIONSHIP BETWEEN ALZHEIMER’S DISEASE, CEREBROVASCULAR AND CARDIOVASCULAR DISEASES (literature review)
Ostrovskа, S. S., Liholetov, E. О., Pavlova, V., Derkach, А. K., Shevchenko, I. F., & Adegova, L. Y. (2021) · Bulletin of Problems Biology and Medicine · doi:10.29254/2077-4214-2021-1-159-302-307 · Cited by 2
Brain White Matter Hyperintensity Changes Associated with Vascular Cognitive Impairment and Dementia, Alzheimer's Dementia and Normal Aging
Ertekin, A. (2021) · Düzce Tıp Fakültesi Dergisi · doi:10.18678/dtfd.1012133 · Cited by 1
Serum lipoprotein phospholipase A2 level has diagnostic value for cognitive impairment in type II diabetes patients with white matter hyperintensity
Wang, H., Xia, H., Wang, D., Yu, C., Wang, X., Yu, Y., Zhang, C., & Liu, Z. (2022) · All Life · doi:10.1080/26895293.2022.2101550 · Cited by 1
Influência do fluxo sanguíneo cerebral na perda volumétrica encefálica relacionada à Doença de Alzheimer
Agnollitto, M. I. S. S. (2021) · doi:10.11606/t.17.2021.tde-07022022-150515 · Cited by 1
Axonal Degeneration Across the Alzheimer’s Disease Spectrum: A Longitudinal MRI and Fluid Biomarker StudyPreprint
Gong, Z., Laporte, J. P., Guo, A. Y., Bae, J., Fox, N., de Rouen, A., Zhang, N., Taranath, A., de Cabo, R., Egan, J. M., et al. (2025) · medRxiv · doi:10.1101/2025.08.13.25333630 · Cited by 1
Diffusion Tensor Imaging and Cognition of Transient Ischemic Attack Patients and Healthy Controls
Tariq, S. (2018) · Libraries and Cultural Resources (University of Calgary) · doi:10.11575/prism/31920
Comorbid Metabolic Syndrome and Prodromal Alzheimer's Disease in a Rat Model
Ivanova, N. A. (2019) · Scholarship@Western (Western University)
White Matter Hyperintensities and Alzheimer's Pathology Are Associated with Risk for Cognitive Impairment
Talan, J. (2020) · Neurology Today · doi:10.1097/01.nt.0000655408.13750.7c
Arterial Stiffening and Cerebrovascular Resistance in Cognitive Decline and Alzheimer’s Disease
Yew, B., Blanken, A. E., & Nation, D. A. (2020) · Oxford University Press eBooks · doi:10.1093/oso/9780190634230.003.0013
Neuropathology of Alzheimer’s Disease and Vascular Dementia
Kapasi, A., & Schneider, J. A. (2020) · Oxford University Press eBooks · doi:10.1093/oso/9780190634230.003.0015
Challenges in diffusion MRI meta-analysis: A discussion of “Genetic influences on white matter and metabolism abnormal change in Alzheimer’s disease: Meta-analysis for neuroimaging research on presenilin 1 mutation”
Benkert, H., Bhatia, S., Mirza-Davies, A., Tan, Z. X., & Harrison, J. R. (2020) · Clinical Neurology and Neurosurgery · doi:10.1016/j.clineuro.2020.106279
Associations of Amyloid Deposition and FDG Uptake in Aging and Cognitively Impaired Elders With and Without Moderate to Severe Periventricular White Matter Hyperintensities Using Simple Machine Learning Techniques
Zukotynski, K. (2020) · TSpace (University of Toronto)
Metabolic Syndrome Impairs Cerebrovascular Tone and Behaviour in Obese Zucker Rats
Halvorson, B. D. (2020) · Scholarship@Western (Western University)
A High Burden of Cerebral white Matter Lesion: Evidences from 9 Asian CitiesPreprint
Lam, B. Y. K., Yiu, B., Ampil, E. R., Chen, C., Dikot, Y., Dominguez, J. C., Ganeshbhai, P. V., Hilal, S., Kandiah, N., Kim, S., et al. (2020) · Research Square · doi:10.21203/rs.3.rs-124194/v1
Cognitive endophenotypes in racially- and ethnically-diverse middle-aged adult offspring aggregate with parental magnetic resonance imaging biomarkers of Alzheimer’s disease riskPreprint
Lao, P. J., Turney, I. C., Avila, J. F., Vonk, J. M. J., Rentería, M. A., Šeblová, D., Chesebro, A. G., Laing, K. K., Amarante, E., Martinez, M., et al. (2021) · medRxiv · doi:10.1101/2021.01.15.21249832
A comparative study on the application of machine learning algorithms for neurodegenerative disease prediction
Neelaveni, J., Devasena, M. S. G., & Gopu, G. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-822271-3.00002-5
Plasma P-tau181 levels reflects white matter microstructural changes across Alzheimer’s disease progressionPreprint
Nabizadeh, F., Jameie, S. B., Khani, S., Rezaei, A., Ranjbaran, F., Deravi, N., & Pourhamzeh, M. (2021) · Research Square · doi:10.21203/rs.3.rs-115316/v3
Bilateral Distance Method for Segmentation of Periventricular from Deep White Matter T2 Signal Hyperintensities on 3-D Brain MRIs
Capizzano, A. A. (2021) · Academic Radiology · doi:10.1016/j.acra.2021.04.011
Amylin-mediated regulation of LRP1 by miR-103/107 induces cerebral microvascular dysfunction and impairs β-amyloid effluxPreprint
Velmurugan, G. V., Ly, H., Sharma, S., Verma, N., Despa, S. I., Nelson, P. T., Goldstein, L. B., & Despa, F. (2020) · doi:10.21203/rs.3.rs-52604/v1
¿Cómo contabilizar?: contabilidad de la liquidación de una empresa
Viguera, M. G. (2004) · Técnica contable
Ferroptosis Promotes Microtubule-Associated Protein Tau Aggregation via GSK-3β Activition and Proteasome InhibitionPreprint
Wang, S., Jiang, Y. X., Liu, Y., Liu, Q., Sun, H., Mei, M., & Liao, X. (2021) · Research Square · doi:10.21203/rs.3.rs-1062929/v1
Faculty Opinions recommendation of Apoε4 disrupts neurovascular regulation and undermines white matter integrity and cognitive function.
Dorrance, A. M. (2019) · Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature · doi:10.3410/f.734038755.793557090
Atrophy subtypes and the ATN classification scheme in Alzheimer’s diseasePreprint
Cedrés, N., Ekman, U., Poulakis, K., Shams, S., Cavallin, L., Muehlboeck, S., Granberg, T., Wahlund, L., Ferreira, D., & Westman, E. (2020) · doi:10.21203/rs.3.rs-35996/v1
Symptom profiles in patients with Alzheimer’s disease with and without concomitant cerebrovascular disease: an observational studyPreprint
Eldholm, R. S., Barca, M. L., Persson, K., Knapskog, A., Engedal, K., Selbæk, G., Skovlund, E., & Saltvedt, I. T. (2019) · Research Square · doi:10.21203/rs.2.1809/v1
Neuroimaging and Cerebrospinal Fluid Biomarkers of Alzheimer’s Disease
Gordon, B. A., Vos, S. J. B., & Fagan, A. M. (2017) · Oxford University Press eBooks · doi:10.1093/med/9780190681425.003.0052
Impact of a Novel Anti-Inflammatory Ketoprofen-Lysine Prodrug on Cerebral Pathology and Cognition in a Comorbid APP21 Transgenic Rat with Diet-Induced Metabolic SyndromePreprint
Ivanova, N., Agca, C., Ağca, Y., Noble, E. G., Forsberg, M., Rautio, J., Leppänen, J., Whitehead, S. N., & Cechetto, D. F. (2022) · SSRN Electronic Journal · doi:10.2139/ssrn.4158214
An ensemble learning framework based on comprehensive gray matter features for identification of mild cognitive impairment in leukoaraiosisPreprint
Yang, Y., Hu, Y., Chen, Y., Gu, W., & Nie, S. (2022) · Research Square · doi:10.21203/rs.3.rs-2234761/v1
Assessment of Gray Matter Microstructure and Synaptic Density in Alzheimer's Disease: A Multimodal Imaging Study With DTI and SV2A PET: A Commentary on Silva-Rudberg et al.
Fu, J. F. (2023) · American Journal of Geriatric Psychiatry · doi:10.1016/j.jagp.2023.09.002
Age-related polygenic effects of Alzheimer's disease on brain structures and cognition in middle aged and elderly adults from UK BiobankPreprint
Shu, N., Chen, H., Dong, X., Wang, K., Feng, G., Wang, Y., Zhang, M., Gan, K., Huang, W., Ma, G., et al. (2024) · Research Square · doi:10.21203/rs.3.rs-4242200/v1
Causal Insights into Neuroticism, White Matter Lesions, and Alzheimer's Disease Risk: A Bidirectional Mendelian Randomization StudyPreprint
Luo, J., Zheng, D., Liang, C., Huang, K.-L., Lai, Y., Lu, R., Cai, Z., Guan, D., Shu, J., Chen, J., et al. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.4859732
Relationship Between Alzheimer Disease Imaging Biomarkers and Performance on the NIH Toolbox Cognition Battery in Late-middle Age Hispanics
Tahmi, M., Rippon, B., Palta, P., Sherwood, G., Hernandez, G., Soto, L., Cespedes, S., Pardo, M., Laing, K. K., Igwe, K. C., et al. (2024) · Alzheimer Disease & Associated Disorders · doi:10.1097/wad.0000000000000641
Associations Between Walking Pace, APOE-ε4 Genotype, and Brain Health in Middle-Aged to Older Adults
Aslan, D. H., Sayre, M. K., Bharadwaj, P. K., Ally, M., Maltagliati, S., Lai, M. H. C., Wilcox, R. R., Klimentidis, Y. C., Alexander, G. E., & Raichlen, D. A. (2025) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0000000000003646
Neuroimaging and Fluid Biomarkers of Alzheimer’s Disease
Gordon, B. A., & Schindler, S. E. (2025) · Oxford University Press eBooks · doi:10.1093/med/9780197640654.003.0054
Loss of endogenous tau suppresses APOE4-induced patterned behavioral decline and axon dysmorphia in a C. elegans model of Alzheimer’s diseasePreprint
Cardona, E. A., Webber, C. J., Wu, Z., Bolton, B. M., Cenik, E. S., & Pierce, J. T. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.05.06.652574

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
DOI: 10.1002/ana.24647
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: onlinelibrary.wiley.com/termsAndConditions#vor (vor)
doi.wiley.com/10.1002/tdm_license_1.1 (tdm)
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
Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Alzheimer's disease research and treatments
Health Sciences › Medicine › Clinical 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

White matter hyperintensities are a core feature of Alzheimer’s disease: evidence from the dominantly inherited Alzheimer network

Abstract

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Self-check

Citations

Cites

Cited by

Related

Metadata

Record

About these checks