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 accessAbstract
OBJECTIVE: White matter hyperintensities (WMHs) are areas of increased signal on T2-weighted magnetic resonance imaging (MRI) scans that most commonly reflect small vessel cerebrovascular disease. Increased WMH volume is associated with risk and progression of Alzheimer's disease (AD). These observations are typically interpreted as evidence that vascular abnormalities play an additive, independent role contributing to symptom presentation, but not core features of AD. We examined the severity and distribution of WMH in presymptomatic PSEN1, PSEN2, and APP mutation carriers to determine the extent to which WMH manifest in individuals genetically determined to develop AD. METHODS: The study comprised participants (n = 299; age = 39.03 ± 10.13) from the Dominantly Inherited Alzheimer Network, including 184 (61.5%) with a mutation that results in AD and 115 (38.5%) first-degree relatives who were noncarrier controls. We calculated the estimated years from expected symptom onset (EYO) by subtracting the affected parent's symptom onset age from the participant's age. Baseline MRI data were analyzed for total and regional WMH. Mixed-effects piece-wise linear regression was used to examine WMH differences between carriers and noncarriers with respect to EYO. RESULTS: Mutation carriers had greater total WMH volumes, which appeared to increase approximately 6 years before expected symptom onset. Effects were most prominent for the parietal and occipital lobe, which showed divergent effects as early as 22 years before estimated onset. INTERPRETATION: Autosomal-dominant AD is associated with increased WMH well before expected symptom onset. The findings suggest the possibility that WMHs are a core feature of AD, a potential therapeutic target, and a factor that should be integrated into pathogenic models of the disease. Ann Neurol 2016;79:929-939.
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 doesn’t support the claim as written.
In the citing paper
“findings from previous studies have also shown that WMHs often occur prior to the presence of amyloid-β plaques in preclinical AD [19,20,21]”
From Amyloid-PET and White Matter Hyperintensities Have Independent Effects on Baseline Cognitive Function and Synergistic Effects on Longitudinal Executive Function (2023) · cites this paper as [19]
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Emerging evidence suggests that white matter microstructural changes may be not only a marker of small vessel injury but also directly related to AD pathology. 53 , 54”
From White matter hyperintensity modulates the amyloid‐tau‐cognition association and anti‐amyloid treatment efficacy in asymptomatic older adults (2025) · cites this paper as [53]
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
In the citing paper
“WMHs are considered an MRI detectable marker of white matter changes due to microvascular pathology, and are increased in autosomal-dominant Alzheimer’s disease (Lee et al., 2016).”
From White matter diffusion alterations precede symptom onset in autosomal dominant Alzheimer’s disease (2018) · cites this paper as Lee et al., 2016
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Robust Locally Weighted Regression and Smoothing Scatterplots
Cleveland, W. S. (1979) · Journal of the American Statistical Association · doi:10.1080/01621459.1979.10481038 · Cited by 11,594
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-citationGorelick, 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
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
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
Research works printed but not linked: 1
- 10.1080/01621459.1970.10481147 · DOI
Cited by
Sorted by citations
Items 201–300 of 542
MRI and fluid biomarkers reveal determinants of myelin and axonal loss with aging
Walker, K. A., Duggan, M. R., Gong, Z., Dark, H. E., Laporte, J. P., Faulkner, M. E., An, Y., Lewis, A., Moghekar, A., Resnick, S. M., et al. (2023) · Annals of Clinical and Translational Neurology · doi:10.1002/acn3.51730 · Cited by 25
Baril, A., Kojis, D. J., Himali, J. J., DeCarli, C. S., Sanchez, E., Johnson, K. A., Fakhri, G. E., Thibault, E. G., Yiallourou, S. R., Himali, D., et al. (2023) · Neurology · doi:10.1212/wnl.0000000000207807 · Cited by 26
Regulation of lipid synthesis in myelin modulates neural activity and is required for motor learning
Kato, D., Aoyama, Y., Nishida, K., Takahashi, Y., Sakamoto, T., Takeda, I., Tatematsu, T., Go, S., Saito, Y., Kunishima, S., et al. (2023) · Glia · doi:10.1002/glia.24441 · Cited by 25
Shi, D., Xie, S., Li, A., Wang, Q., Guo, H., Han, Y., Xu, H., Gan, W., Zhang, L., Guo, T., et al. (2022) · Translational Psychiatry · doi:10.1038/s41398-022-01899-w · Cited by 25
Keith, C. M., Haut, M. W., Wilhelmsen, K. C., Mehta, R. I., Miller, M. D., Navia, R. O., Ward, M., Lindberg, K. E., Coleman, M., McCuddy, W. T., et al. (2022) · Aging Neuropsychology and Cognition · doi:10.1080/13825585.2022.2144618 · Cited by 25
Newton, P., the BIOCARD Research Team, Tchounguen, J., Pettigrew, C., Lim, C., Lin, Z., Lu, H., Moghekar, A., Albert, M., & Soldan, A. (2023) · Journal of Alzheimer's Disease · doi:10.3233/jad-220846 · Cited by 23
Bangen, K. J., Initiative, A. D. N., Thomas, K. R., Sanchez, D. L., Edmonds, E. C., Weigand, A. J., Delano‐Wood, L., & Bondi, M. W. (2021) · Journal of Alzheimer s Disease · doi:10.3233/jad-201474 · Cited by 24
Alanko, V., Gaminde‐Blasco, A., Quintela‐López, T., Loera‐Valencia, R., Solomon, A., Björkhem, I., Cedazo-Mı́nguez, Á., Maioli, S., Tabacaru, G., Latorre‐Leal, M., et al. (2023) · Glia · doi:10.1002/glia.24348 · Cited by 25
Physical Exercise Counteracts Aging-Associated White Matter Demyelination Causing Cognitive Decline
Butt, T. H., Tobiume, M., Ré, D. B., & Kariya, S. (2024) · Aging and Disease · doi:10.14336/ad.2024.0216 · Cited by 25
Trem2-deficiency aggravates and accelerates age-related myelin degeneration
McCray, T. J., Bedford, L. M., Bissel, S. J., & Lamb, B. T. (2024) · Acta Neuropathologica Communications · doi:10.1186/s40478-024-01855-3 · Cited by 23
Staging the cognitive continuum in prodromal Alzheimer's disease with episodic memory
Moscoso, A., Silva‐Rodríguez, J., Aldrey, J. M., Cortés, J., Fernández‐Ferreiro, A., Gómez‐Lado, N., Ruibal, Á., & Aguiar, P. (2019) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2019.07.014 · Cited by 23
Low, A., Su, L., Stefaniak, J. D., Mak, E., Dounavi, M., Terrera, G. M., Ritchie, K. A., Ritchie, C. W., Markus, H. S., & O'Brien, J. T. (2020) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2020.10.029 · Cited by 26
Bangen, K. J., Calcetas, A. T., Thomas, K. R., Wierenga, C. E., Smith, C. N., Bordyug, M., Brenner, E. K., Wing, D., Chen, C., Liu, T. T., et al. (2023) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617723000140 · Cited by 23
Faulkner, M. E., Gong, Z., Bilgel, M., Laporte, J. P., Guo, A., Bae, J., Elango, P., Kaileh, M., Bergeron, C. M., Bergeron, J., et al. (2024) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2402813121 · Cited by 23
Carmichael, O. T., Stuchlik, P. M., Pillai, S. R., Biessels, G. J., Dhullipudi, R., Madden‐Rusnak, A., Martin, S., Hsia, D. S., Fonseca, V. A., & Bazzano, L. (2019) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2018-02750 · Cited by 23
Beach, T. G., Sue, L. I., Scott, S., Intorcia, A. J., Walker, J. E., Arce, R. A., Glass, M. J., Borja, C. I., Cline, M. P., Hemmingsen, S. J., et al. (2023) · Journal of Neuropathology & Experimental Neurology · doi:10.1093/jnen/nlad026 · Cited by 20
Eloyan, A., Thangarajah, M., An, N., Borowski, B., Reddy, A. L., Aisen, P. S. S., Dage, J. L., Foroud, T., Ghetti, B. F., Griffin, P. Y., et al. (2023) · Alzheimer s & Dementia · doi:10.1002/alz.13402 · Cited by 22
Evidence of beta amyloid independent small vessel disease in familial Alzheimer's disease
Littau, J. L., Velilla, L., Hase, Y., Villalba‐Moreno, N. D., Hagel, C., Drexler, D., Osorio Restrepo, S., Villegas, A., Lopera, F., Vargas, S., et al. (2022) · Brain Pathology · doi:10.1111/bpa.13097 · Cited by 20
Connectome-derived diffusion characteristics of the fornix in Alzheimer's disease
Perea, R. D., Rabin, J. S., Fujiyoshi, M. G., Neal, T. E., Smith, E. E., Dijk, K. R. A. V., & Hedden, T. (2018) · NeuroImage Clinical · doi:10.1016/j.nicl.2018.04.029 · Cited by 20
Gwo, C., Zhu, D. C., & Zhang, R. (2019) · Frontiers in Neuroscience · doi:10.3389/fnins.2019.00353 · Cited by 21
Calcetas, A. T., Thomas, K. R., Edmonds, E. C., Holmqvist, S. L., Edwards, L., Bordyug, M., Delano‐Wood, L., Brickman, A. M., Bondi, M. W., Bangen, K. J., et al. (2022) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2022.06.002 · Cited by 22
Brickman, A. M., & Rizvi, B. M. (2023) · Alzheimer s & Dementia · doi:10.1002/alz.13371 · Cited by 21
Scarapicchia, V., García-Barrera, M. A., MacDonald, S. W. S., & Gawryluk, J. R. (2019) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2019.00429 · Cited by 21
Zhang, B., Wang, Y., Wang, B., Chu, Y., Jiang, Y., Cui, M., Wang, H., & Chen, X. (2021) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.27815 · Cited by 20
Prescott, J. W., Doraiswamy, P. M., Gamberger, D., Benzinger, T. L. S., Petrella, J. R., & for the Dominantly Inherited Alzheimer Network (2021) · Radiology · doi:10.1148/radiol.2021210383 · Cited by 21
Lao, P. J., Zimmerman, M. E., Hartley, S. L., Gutierrez, J., Keator, D. B., Igwe, K. C., Laing, K. K., Cotton‐Samuel, D., Sathishkumar, M. T., Moni, F., et al. (2022) · SLEEP Advances · doi:10.1093/sleepadvances/zpac013 · Cited by 22
The Hidden Role of Non-Canonical Amyloid β Isoforms in Alzheimer’s Disease
Busch, L., Eggert, S., Endres, K., & Bufe, B. (2022) · Cells · doi:10.3390/cells11213421 · Cited by 20
Weakly supervised perivascular spaces segmentation with salient guidance of Frangi filter
Lan, H., Lynch, K. M., Custer, R. M., Shih, N., Sherlock, P., Toga, A. W., Sepehrband, F., & Choupan, J. (2023) · Magnetic Resonance in Medicine · doi:10.1002/mrm.29593 · Cited by 22
Badimon, A., Torrente, D., & Norris, E. H. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms24087046 · Cited by 21
Characterization of white matter hyperintensities in Down syndrome
Morcillo-Nieto, A. O., Zsadanyi, S. E., Arriola‐Infante, J. E., Carmona‐Iragui, M., Montal, V., Pegueroles, J., Aranha, M. R., Vaqué‐Alcázar, L., Padilla, C., Benejam, B., et al. (2024) · Alzheimer s & Dementia · doi:10.1002/alz.14146 · Cited by 22
Cox, S. R., Ritchie, S. J., Dickie, D. A., Pattie, A., Royle, N. A., Corley, J., Aribisala, B. S., Harris, S. E., Hernández, M. V., Gow, A. J., et al. (2017) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2017.02.014 · Cited by 19
Proximity to dementia onset and multi-modal neuroimaging changes: The prevent-dementia study
Mak, E., Dounavi, M., Low, A., Carter, S. F., McKiernan, E. F., Williams, G. B., Jones, P. S., Carrière, I., Terrera, G. M., Ritchie, K. A., et al. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.117749 · Cited by 20
Reliability of arterial spin labeling derived cerebral blood flow in periventricular white matter
Dolui, S., Fan, A. P., Zhao, M. Y., Nasrallah, I. M., Zaharchuk, G., & Detre, J. A. (2021) · Neuroimage Reports · doi:10.1016/j.ynirp.2021.100063 · Cited by 20
Panchal, K., & Tiwari, A. K. (2020) · Biology Open · doi:10.1242/bio.049569 · Cited by 21
Nabizadeh, F., Pourhamzeh, M., Khani, S., Rezaei, A., Ranjbaran, F., Deravi, N., & ADNI (2022) · Metabolic Brain Disease · doi:10.1007/s11011-022-00908-7 · Cited by 19
Drenthen, G. S., Elschot, E. P., van der Knaap, N., Uher, D., Voorter, P., Backes, W. H., Jansen, J. F. A., & van der Thiel, M. M. (2023) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.29056 · Cited by 20
A single center study: Aβ42/p-Tau181 CSF ratio to discriminate AD from FTD in clinical setting
Vergallo, A., Carlesi, C., Pagni, C., Giorgi, F. S., Baldacci, F., Petrozzi, L., Ceravolo, R., Tognoni, G., Siciliano, G., & Bonuccelli, U. (2017) · Neurological Sciences · doi:10.1007/s10072-017-3053-z · Cited by 19
Pasha, E. P., Birdsill, A. C., Oleson, S., Haley, A. P., & Tanaka, H. (2017) · American Journal of Hypertension · doi:10.1093/ajh/hpx132 · Cited by 19
White matter fractional anisotropy decreases precede hyperintensities in Alzheimer’s disease
Sun, P., He, Z., Chu, E., Fan, X., Cai, Y. Q., Lan, G., Liu, L., Shi, D., Li, L., Yang, J., et al. (2025) · Cell Reports Medicine · doi:10.1016/j.xcrm.2025.102138 · Cited by 19
White matter hyperintensity load varies depending on subjective cognitive decline criteria
Morrison, C., Dadar, M., Villeneuve, S., Ducharme, S., Collins, D. L., & Initiative, A. D. N. (2022) · GeroScience · doi:10.1007/s11357-022-00684-3 · Cited by 22
White matter hyperintensity, neurofilament light chain, and cognitive decline
Dhana, A., DeCarli, C. S., Dhana, K., Desai, P., Wilson, R. S., Evans, D. A., & Rajan, K. B. (2022) · Annals of Clinical and Translational Neurology · doi:10.1002/acn3.51720 · Cited by 16
Rizvi, B. M., Sathishkumar, M. T., Kim, S., Márquez, F., Granger, S. J., Larson, M. S., Miranda, B. A., Hollearn, M. K., McMillan, L. C., Nan, B., et al. (2022) · NeuroImage Clinical · doi:10.1016/j.nicl.2022.103308 · Cited by 18
Brain White Matter: A Substrate for Resilience and a Substance for Subcortical Small Vessel Disease
Sorond, F. A., & Gorelick, P. B. (2019) · Brain Sciences · doi:10.3390/brainsci9080193 · Cited by 20
Blumenau, S., Foddis, M., Müller, S., Holtgrewe, M., Bentele, K., Berchtold, D., Beule, D., Dirnagl, U., & Sassi, C. (2020) · Scientific Reports · doi:10.1038/s41598-020-63183-5 · Cited by 19
Recent Advances in Imaging of Preclinical, Sporadic, and Autosomal Dominant Alzheimer's Disease
Buckley, R. F. (2021) · Neurotherapeutics · doi:10.1007/s13311-021-01026-5 · Cited by 18
Plasma EFEMP1 Is Associated with Brain Aging and Dementia: The Framingham Heart Study
McGrath, E. R., Himali, J. J., Levy, D. A., Yang, Q., DeCarli, C. S., Courchesne, P. L., Satizábal, C. L., Finney, R., Vasan, R. S., Beiser, A., et al. (2021) · Journal of Alzheimer s Disease · doi:10.3233/jad-215053 · Cited by 18
Stefaniak, J. D., Su, L., Mak, E., Sheikh‐Bahaei, N., Wells, K., Ritchie, K. A., Waldman, A. D., Ritchie, C. W., & O'Brien, J. T. (2017) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2017.08.017 · Cited by 22
Loneliness, cerebrovascular and Alzheimer's disease pathology, and cognition
Lao, P. J., Young, C. B., Ezeh, C., Lacayo, B. E., Šeblová, D., Andrews, R. M., Gibbons, L. E., Kraal, A. Z., Turney, I. C., Deters, K., et al. (2024) · Alzheimer s & Dementia · doi:10.1002/alz.14196 · Cited by 17
Peterson, A. J., Sathe, A., Zaras, D., Yang, Y., Durant, A., Deters, K., Shashikumar, N., Pechman, K. R., Kim, M. E., Gao, C., et al. (2024) · Alzheimer s & Dementia · doi:10.1002/alz.14343 · Cited by 18
Uchida, Y., Nishimaki, K., Soldan, A., Pettigrew, C. A., Ho, S. G., Moghekar, A., Wang, M., Miller, M. I., Albert, M., & Oishi, K. (2025) · Alzheimer s & Dementia · doi:10.1002/alz.70544 · Cited by 17
Neuroinflammation and amyloid deposition in the progression of mixed Alzheimer and vascular dementia
Ying, C., Kang, P. M., Binkley, M. M., Ford, A. L., Chen, Y., Hassenstab, J. J., Wáng, Q., Strain, J. F., Morris, J. C., Lee, J., et al. (2023) · NeuroImage Clinical · doi:10.1016/j.nicl.2023.103373 · Cited by 18
Overexpression of forebrain PTP1B leads to synaptic and cognitive impairments in obesity
Ge, X., Hu, M., Zhou, M., Fang, X., Chen, X., Geng, D., Wang, L., Yang, X., An, H., Zhang, M., et al. (2024) · Brain Behavior and Immunity · doi:10.1016/j.bbi.2024.02.008 · Cited by 17
Cerebral Aβ 40 and systemic hypertension
Tayler, H. M., Palmer, J. C., Thomas, T. L., Kehoe, P. G., Paton, J. F. R., & Love, S. (2017) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1177/0271678x17724930 · Cited by 16
Sanchez, D. L., Thomas, K. R., Edmonds, E. C., Bondi, M. W., Bangen, K. J., & Initiative, A. D. N. (2020) · Journal of Alzheimer s Disease · doi:10.3233/jad-200490 · Cited by 17
Walker, K. A., Silverstein, N. J., Zhou, Y., Hughes, T. M., Jack, C. R., Knopman, D. S., Sharrett, A. R., Wong, D. F., Mosley, T. H., & Gottesman, R. F. (2021) · Journal of the American Heart Association · doi:10.1161/jaha.121.022087 · Cited by 17
Yang, Y., Xiaobin, Y., Chen, H., Yufa, Z., Qiaowei, Z., Hu, X., & Huaying, C. (2020) · Neurological Sciences · doi:10.1007/s10072-020-04342-4 · Cited by 16
Trajectory of clinical symptoms in relation to amyloid chronicity
Birdsill, A. C., Koscik, R. L., Cody, K. A., Jonaitis, E. M., Cadman, R. V., Erickson, C. M., Chin, N. A., Przybelski, R. J., Carlsson, C. M., Asthana, S., et al. (2022) · Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring · doi:10.1002/dad2.12360 · Cited by 16
Li, L., Zhou, P., Lu, W., Guo, X., Ye, C., Lv, H., Wang, T., & Ma, T. (2021) · Computerized Medical Imaging and Graphics · doi:10.1016/j.compmedimag.2021.101873 · Cited by 16
Basselerie, H., Bracoud, L., Zeestraten, E., Bouguen, E., Kiyasova, V., Pueyo, M. E., Cognard, C., Dumas, H., Gramada, R., Ousset, P., et al. (2017) · Journal of Alzheimer s Disease · doi:10.3233/jad-170470 · Cited by 19
Li, A., Lian, J., & Vardhanabhuti, V. (2025) · PLOS Digital Health · doi:10.1371/journal.pdig.0000795 · Cited by 22
Lao, P. J., Boehme, A. K., Morales, C. D., Laing, K. K., Chesebro, A. G., Igwe, K. C., Gutierrez, J., Gu, Y., Stern, Y., Schupf, N., et al. (2022) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2022.05.004 · Cited by 16
Brain perfusion, cognition, and plasma Alzheimer's biomarkers in moyamoya disease
Zou, X., Liao, Y., Jiang, C., Yuan, Y., Zhao, F., Ding, D., Liang, C., Xu, B., & Mao, Y. Q. (2023) · Alzheimer s & Dementia · doi:10.1002/alz.12958 · Cited by 14
Twait, E. L., Min, B., Beran, M., Vonk, J. M. J., & Geerlings, M. I. (2023) · Ageing Research Reviews · doi:10.1016/j.arr.2023.101952 · Cited by 15
Singh, P. K., Kawasaki, M., Berk-Rauch, H., Nishida, G., Yamasaki, T., Foley, M. A., Norris, E. H., Strickland, S., Aso, K., & Ahn, H. J. (2018) · Biochemistry · doi:10.1021/acs.biochem.7b01214 · Cited by 15
Qiao, S., Li, H., Guo, F., Cai, G., & Zhang, Y. (2022) · Annals of Translational Medicine · doi:10.21037/atm-22-1016 · Cited by 15
Coexistence of Cerebral Microbleeds and Amyloid Pathology in Patients with Cognitive Complaints
Lim, E. Y., Ryu, S. Y., Shim, Y. S., Yang, D. W., & Cho, A.-H. (2020) · Journal of Clinical Neurology · doi:10.3988/jcn.2020.16.1.83 · Cited by 15
Singh, P. K., Badimon, A., Chen, Z., Strickland, S., & Norris, E. H. (2021) · Research and Practice in Thrombosis and Haemostasis · doi:10.1002/rth2.12504 · Cited by 17
Wang, Y., Lou, F., Li, Y., Liu, F., Wang, Y., Cai, L., Gordon, M. L., Zhang, Y., & Zhang, N. (2021) · Current Alzheimer Research · doi:10.2174/1567205018666211001113349 · Cited by 14
Wang, M.-L., Sun, Z., Li, W., Zou, Q., Li, P., Wu, X., Li, Y., & Initiative, T. 4.-R. T. N. I. A. T. F. L. D. N. (2022) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2022.923193 · Cited by 14
Potential biomarkers of Alzheimer’s disease and cerebral small vessel disease
Zou, C., Huang, X., Zhang, Y., Pan, M., Xie, J., Chen, L., Meng, Y., Zou, D., & Luo, J. (2022) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2022.996107 · Cited by 14
White matter hyperintensity load is associated with premature brain aging
Busby, N., Newman-Norlund, S. E., Sayers, S., Newman‐Norlund, R., Wilson, S. E., Nemati, S., Rorden, C., Wilmskoetter, J., Riccardi, N., Roth, R., et al. (2022) · Aging · doi:10.18632/aging.204397 · Cited by 14
Palmer, J. C., Tayler, H. M., Dyer, L., Kehoe, P. G., Paton, J. F. R., & Love, S. (2020) · Journal of Alzheimer s Disease · doi:10.3233/jad-190630 · Cited by 14
Long Longitudinal Tract Lesion Contributes to the Progression of Alzheimer's Disease
Luo, C., Li, M., Qin, R., Chen, H., Huang, L., Yang, D., Ye, Q., Liu, R., Xu, Y., Zhao, H., et al. (2020) · Frontiers in Neurology · doi:10.3389/fneur.2020.503235 · Cited by 14
The Adverse Outcome Pathway Framework Applied to Neurological Symptoms of COVID-19
Högberg, H. T., Lam, A., Ohayon, E. L., Shahbaz, M. A., Clerbaux, L., Bal‐Price, A., Coecke, S., Concha, R., Bernardi, F., Edrosa, E., et al. (2022) · Cells · doi:10.3390/cells11213411 · Cited by 14
Amyloid β influences the relationship between cortical thickness and vascular load
Parker, T. D., Cash, D. M., Lane, C., Lu, K., Malone, I. B., Nicholas, J. M., James, S., Keshavan, A., Murray‐Smith, H., Wong, A., et al. (2020) · Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring · doi:10.1002/dad2.12022 · Cited by 15
Biesbroek, J. M., de Kort, F. A. S., Anblagan, D., Bastin, M. E., Beiser, A., Brodaty, H., Chaturvedi, N., Chen, C., Cheng, B., Cheng, C.-Y., et al. (2025) · Stroke · doi:10.1161/strokeaha.125.051159 · Cited by 14
White Matter Hyperintensity as a Vascular Contribution to the AT(N) Framework
Ng, K. P., shen, J., Chiew, H. J., Ng, A., Kandiah, N., Rosa‐Neto, P., & Gauthier, S. G. (2023) · The Journal of Prevention of Alzheimer s Disease · doi:10.14283/jpad.2023.53 · Cited by 12
Silbert, L. C., Roese, N. E., Krajbich, V., Hurworth, J., Lahna, D. L., Schwartz, D. L., Dodge, H. H., & Woltjer, R. L. (2024) · Alzheimer s & Dementia · doi:10.1002/alz.13816 · Cited by 13
Lin, Y., Cheng, C., Liao, Y., Hong, C., & Fuh, J. (2020) · Scientific Reports · doi:10.1038/s41598-020-76794-9 · Cited by 13
Moyamoya disease: A human model for chronic hypoperfusion and intervention in Alzheimer's disease
Zou, X., Yuan, Y., Liao, Y., Jiang, C., Zhao, F., Ding, D., Gu, Y., Chen, L., Chu, Y., Hsu, Y., et al. (2022) · Alzheimer s & Dementia Translational Research & Clinical Interventions · doi:10.1002/trc2.12285 · Cited by 13
Sakibuzzaman, M., Hassan, A., Hayee, S., Haque, F. A., Bushra, S. S., Maliha, M., Tania, M. K., Sadat, A., Akter, F., Mazumder, T., et al. (2022) · Cureus · doi:10.7759/cureus.29297 · Cited by 13
Gauthier, S. G., Ng, K. P., Pascoal, T. A., Zhang, H., & Rosa‐Neto, P. (2018) · Journal of Alzheimer s Disease · doi:10.3233/jad-179924 · Cited by 13
Wu, D., Albert, M., Soldan, A., Pettigrew, C., Oishi, K., Tomogane, Y., Ye, C., Ma, T., Miller, M. I., & Mori, S. (2019) · NeuroImage: Clinical · doi:10.1016/j.nicl.2019.101772 · Cited by 14
Midlife Consequences of Cumulative Blood Pressure Exposure
Jefferson, A. L. (2020) · Circulation · doi:10.1161/circulationaha.120.044447 · Cited by 13
White Matter Changes as an Independent Predictor of Alzheimer’s Disease
Yan, Y., Wu, Y., Xiao, G., Wang, L., Zhou, S., Wei, L., Tian, Y., Wu, X., Hu, P., & Wang, K. (2023) · Journal of Alzheimer s Disease · doi:10.3233/jad-221037 · Cited by 14
Shirzadi, Z., Schultz, A. P., Properzi, M. J., Yaari, R., Yau, W.-Y. W., Brickman, A. M., Rafii, M. S., Donohue, M., Ernstrom, K. B., Wang, S., et al. (2024) · The Journal of Prevention of Alzheimer s Disease · doi:10.14283/jpad.2024.139 · Cited by 13
White matter hyperintensity spatial patterns: Risk factors and clinical correlates
Beyer, F., Tsuchida, A., Soumaré, A., Rajula, H. S. R., Mishra, A., Crivello, F., Proust‐Lima, C., Loeffler, M., Tzourio, C., Amouyel, P., et al. (2025) · Alzheimer s & Dementia · doi:10.1002/alz.70053 · Cited by 16
White Matter Degeneration—A Treatable Target?
Roseborough, A. D., Hachinski, V., & Whitehead, S. N. (2020) · JAMA Neurology · doi:10.1001/jamaneurol.2020.0814 · Cited by 12
Guo, Z., Xu, G., Wang, R., Hou, J., Yu, S., Wang, H., Yu, S., Xu, J., You, S., Huang, Z., et al. (2021) · Clinical Endocrinology · doi:10.1111/cen.14564 · Cited by 12
Juttukonda, M. R., Stephens, K. A., Yen, Y., Howard, C. M., Polimeni, J. R., Rosen, B. R., & Salat, D. H. (2022) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1177/0271678x221105986 · Cited by 12
Magnetic Resonance Imaging of Vascular Contributions to Cognitive Impairment and Dementia
Yassi, N., Desmond, P. M., & Masters, C. L. (2016) · Journal of Molecular Neuroscience · doi:10.1007/s12031-016-0799-3 · Cited by 12
Moni, F., Petersen, M. E., Zhang, F., Lao, P. J., Zimmerman, M. E., Gu, Y., Gutierrez, J., Rizvi, B. M., Laing, K. K., Igwe, K. C., et al. (2022) · Alzheimer s & Dementia · doi:10.1002/alz.12627 · Cited by 12
White matter dementia then… and now
Filley, C. M. (2022) · Frontiers in Neurology · doi:10.3389/fneur.2022.1043583 · Cited by 11
Regional Vulnerability of the Corpus Callosum in the Context of Cardiovascular Risk
VandeBunte, A. M., Fonseca, C. S., Paolillo, E. W., Gontrum, E. Q., Lee, S. Y., Kramer, J. H., & Casaletto, K. B. (2023) · Journal of Geriatric Psychiatry and Neurology · doi:10.1177/08919887231154931 · Cited by 11
Bednorz, A., & Religa, D. (2023) · Geriatrics · doi:10.3390/geriatrics8060108 · Cited by 11
Membreno, R., Thomas, K. R., Calcetas, A. T., Edwards, L., Bordyug, M., Showell, M., Stanfill, M., Brenner, E. K., Walker, K. S., Rotblatt, L. J., et al. (2023) · Alzheimer Disease & Associated Disorders · doi:10.1097/wad.0000000000000585 · Cited by 11
Sasaki, K., Becker, J., Ong, J., Ciaghi, S., Guldin, L. S., Savastano, S., Fukumitsu, S., Kuwata, H., Szele, F. G., & Isoda, H. (2024) · Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie · doi:10.1016/j.biopha.2024.117350 · Cited by 11
Perdaens, O., & Pesch, V. V. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms252312637 · Cited by 12
Tao, W., Li, H., Li, X., Huang, R., Shao, W., Guan, Q., & Zhang, Z. (2021) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2021.687530 · Cited by 11
Lang, B., Kindy, M. S., Kozel, F. A., Schultz, S. K., & Taheri, S. (2018) · Journal of Alzheimer s Disease · doi:10.3233/jad-170733 · Cited by 11
Metadata
- Authors
- Lee, S., Viqar, F., Zimmerman, M. E., Narkhede, A., Tosto, G., Benzinger, T. L. S., Marcus, D. S., Fagan, A. M., Goate, A., Fox, N. C., Cairns, N. J., Holtzman, D. M., Buckles, V., Ghetti, B., McDade, E., Martins, R. N., Saykin, A. J., Masters, C. L., Ringman, J. M., Ryan, N. S., Förster, S., Laske, C., Schofield, P. R., Sperling, R. A., Salloway, S., Correia, S., Jack, C., Weiner, M., Bateman, R. J., Morris, J. C., Mayeux, R., Brickman, A. M., & for the Dominantly Inherited Alzheimer Network
- Affiliations
- New York State Psychiatric Institute (US)
- Fordham University (US)
- Albert Einstein College of Medicine (US)
- Columbia University Irving Medical Center (US)
- NewYork–Presbyterian Hospital (US)
- Washington University in St. Louis (US)
- Icahn School of Medicine at Mount Sinai (US)
- UCL Queen Square Institute of Neurology (GB)
- Indiana University Indianapolis (US)
- Edith Cowan University (AU)
- The University of Melbourne (AU)
- University of Southern California (US)
- German Center for Neurodegenerative Diseases (DE)
- UNSW Sydney (AU)
- Brigham and Women's Hospital (US)
- Brown University (US)
- Mayo Clinic (US)
- San Francisco VA Medical Center (US)
- Corresponding author
- Brickman, Adam M.
- ORCID
- Lee, Seonjoo
- Zimmerman, Molly E.
- Tosto, Giuseppe
- Benzinger, Tammie L.S.
- Marcus, Daniel S.
- Fagan, Anne M.
- Goate, Alison
- Fox, Nick C.
- Holtzman, David M.
- Ghetti, Bernardino
- McDade, Eric
- Martins, Ralph N.
- Saykin, Andrew J.
- Masters, Colin L.
- Ringman, John M.
- Ryan, Natalie S.
- Förster, Stefan
- Laske, Christoph
- Schofield, Peter R.
- Sperling, Reisa A.
- Salloway, Stephen
- Correia, Stephen
- Jack, Clifford
- Weiner, Michael
- Bateman, Randall J.
- Morris, John C.
- Mayeux, Richard
- Brickman, Adam M.
- Venue
- Annals of Neurology
- Publisher
- Wiley
- Published
- 2016-04-27
- Volume
- 79
- Issue
- 6
- Pages
- 929-939
- ISSN
- 0364-5134 (ISSN-L)
- 1531-8249
- PMC
- PMC4884146
- OpenAlex
- W2309640507
- Cited by
- 542
- References
- 51
- Citations by year
- 2026: 49 · 2025: 58 · 2024: 53 · 2023: 68 · 2022: 65 · 2021: 65 · 2020: 66 · 2019: 46 · 2018: 38 · 2017: 25 · 2016: 8
- FWCI
- 34.63
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Annals of Neurology (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- UNSWorks (UNSW Sydney) (submittedVersion, cc-by-nc-nd)
- Australasian Journal of Paramedicine (submittedVersion)
- Deep Blue (University of Michigan) (submittedVersion)
- Minerva Access (University of Melbourne) (submittedVersion)
- mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich) (submittedVersion)
- DZNE Pub (submittedVersion)
- IUScholarWorks (Indiana University) (submittedVersion)
- Purdue University Indianapolis (Indiana University) (submittedVersion)
- PMC
- Funders
- NIH/NIA (U19 AG032438, AG051348)
- NIHR Queen Square Dementia BRU
- German Center for Neurodegenerative Diseases (DZNE)
- Brain Exit Foundation Fellowship
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- 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