The effect of white matter hyperintensities on neurodegeneration in mild cognitive impairment
Open accessAbstract
Introduction: It is unclear whether white matter hyperintensities (WMHs), magnetic resonance imaging markers of small‐vessel cerebrovascular disease, promote neurodegeneration and associated clinical decline in Alzheimer's disease (AD), or simply co‐occur with recognized pathogenic processes. Methods: In 169 patients with mild cognitive impairment, followed for 3 years, we examined the association of (1) baseline regional WMH and cerebral spinal fluid–derived t‐tau (total tau) with entorhinal cortex atrophy rates, as a marker of AD‐related neurodegeneration, and conversion to AD; and (2) baseline regional WMH with change in t‐tau level. Results: In participants with low baseline t‐tau, higher regional WMH volumes were associated with faster entorhinal cortex atrophy. Higher parietal WMH volume predicted conversion to AD in those with high t‐tau. Higher parietal and occipital WMH volumes predicted increasing t‐tau. Discussion: WMHs affect AD clinical and pathologic processes both directly and interacting with tau.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
White matter lesions attributable to aberrant myelin breakdown have been widely reported in the brains of individuals with mild cognitive impairment.
“white matter lesions attributable to aberrant myelin breakdown have been widely reported in the brains of individuals with mild cognitive impairment (MCI) [127].”
From Systems-based proteomics to resolve the biology of Alzheimer’s disease beyond amyloid and tau (2021) · cites this paper as [127]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
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 · see citing works
Hirono, N., Mori, E., Ikejiri, Y., Imamura, T., Shimomura, T., Hashimoto, M., Yamashita, H., & Ikeda, M. (1997) · PubMed · Cited by 21,010 · see citing works
Kok, J. S., Berg, I. J., & Scherder, E. J. A. (2013) · Dementia and Geriatric Cognitive Disorders Extra · doi:10.1159/000353441 · Cited by 20,589 · see citing works
Older Adults' Reasons for Using Technology while Aging in Place
Peek, S. T. M., Luijkx, K. G., Rijnaard, M. D., Nieboer, M. E., van der Voort, C. S., Aarts, S., van Hoof, J., Vrijhoef, H. J., & Wouters, E. (2015) · Gerontology · doi:10.1159/000430949 · Cited by 19,803 · see citing works
Sensitivity and False Alarm Rate of a Fall Sensor in Long-Term Fall Detection in the Elderly
Kangas, M., Korpelainen, R., Vikman, I., Nyberg, L., & Jämsä, T. J. (2014) · Gerontology · doi:10.1159/000362720 · Cited by 19,003 · see citing works
McKhann, G. M., Knopman, D. S., Chertkow, H., Hyman, B. T., Jack, C. R., Kawas, C. H., Klunk, W. E., Koroshetz, W. J., Manly, J. J., Mayeux, R., et al. (2011) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2011.03.005 · Cited by 18,657 · see citing works
Longitudinal data analysis using generalized linear models
LIANG, K.-Y., & ZEGER, S. L. (1986) · Biometrika · doi:10.1093/biomet/73.1.13 · Cited by 18,550 · see citing works
Development and validation of a geriatric depression screening scale: a preliminary report
Yesavage, J. A., Brink, T. L., Rose, T. L., Lum, O., Huang, V., Adey, M., & Leirer, V. O. (1982) · Journal of Psychiatric Research · doi:10.1016/0022-3956(82)90033-4 · Cited by 15,025 · see citing works
Albert, M. S., DeKosky, S. T., Dickson, D., Dubois, B., Feldman, H. H., Fox, N. C., Gamst, A., Holtzman, D. M., Jagust, W. J., Petersen, R. C., et al. (2011) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2011.03.008 · Cited by 10,152 · cited 1× · see citing works
“From a theoretical perspective, these findings challenge current hypothetical models of AD pathogenesis [22] and recently implemented diagnostic criteria [7,8].”
BackgroundThe Clinical Dementia Rating (CDR): Current version and scoring rules
Morris, J. C. (1993) · Neurology · doi:10.1212/wnl.43.11.2412-a · Cited by 9,882 · see citing works
Sperling, R. A., Aisen, P. S., Beckett, L. A., Bennett, D. A., Craft, S., Fagan, A. M., Iwatsubo, T., Jack, C. R., Kaye, J., Montine, T. J., et al. (2011) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2011.03.003 · Cited by 7,155 · see citing works
Hypothetical model of dynamic biomarkers of the Alzheimer's pathological cascade
Jack, C. R., Knopman, D. S., Jagust, W. J., Shaw, L. M., Aisen, P. S., Weiner, M. W., Petersen, R. C., & Trojanowski, J. Q. (2010) · The Lancet Neurology · doi:10.1016/s1474-4422(09)70299-6 · Cited by 4,806 · see citing works
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 · see citing works
The Alzheimer’s disease neuroimaging initiative (ADNI): MRI methods
Jack, C. R., Bernstein, M. A., Fox, N. C., Thompson, P., Alexander, G., Harvey, D., Borowski, B., Britson, P. J., L. Whitwell, J., Ward, C., et al. (2008) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.21049 · Cited by 4,347 · see citing works
Hearing loss and cognitive decline in older adults
Lin, F. R., Yaffe, K., Xia, J., Xue, Q.-L., Harris, T. B., Purchase-Helzner, E., Satterfield, S., Ayonayon, H. N., Ferrucci, L., Simonsick, E. M., et al. (2013) · JAMA Internal Medicine · doi:10.1001/jamainternmed.2013.1868 · Cited by 4,017 · see citing works
Cognitive Stimulation in Patients with Dementia: Randomized Controlled Trial
Mapelli, D., Rosa, E. D., Nocita, R., & Sava, D. (2013) · Dementia and Geriatric Cognitive Disorders Extra · doi:10.1159/000353457 · Cited by 3,468 · see citing works
. Cerebral blood flow in dementia.
Hachinski, V. C., Iliff, L. D., Zilhka, E., Du Boulay, G. H., McAllister, V. L., Marshall, J., Russell, R. W. R., & Symon, L. (1975) · Archives of Neurology · doi:10.1001/archneur.1975.00490510088009 · Cited by 3,186 · see citing works
The projected effect of risk factor reduction on Alzheimer's disease prevalence
Barnes, D. E., & Yaffe, K. S. (2011) · The Lancet Neurology · doi:10.1016/s1474-4422(11)70072-2 · Cited by 2,668 · see citing works
Albert, M., DeKosky, S. T., Dickson, D. W., Dubois, B., Feldman, H., Fox, N. C., Gamst, A. C., Holtzman, D. M., Jagust, W. J., Petersen, R. C., et al. (2013) · FOCUS The Journal of Lifelong Learning in Psychiatry · doi:10.1176/appi.focus.11.1.96 · Cited by 2,630 · see citing works
Cerebrospinal fluid biomarker signature in Alzheimer's disease neuroimaging initiative subjects
Shaw, L. M., Vanderstichele, H., Knapik‐Czajka, M., Clark, C. M., Aisen, P. S., Petersen, R. C., Blennow, K., Soares, H., Simon, A., Lewczuk, P., et al. (2009) · Annals of Neurology · doi:10.1002/ana.21610 · Cited by 2,065 · see citing works
Self-citationPathologic correlates of incidental MRI white matter signal hyperintensities
Fazekas, F., Kleinert, R., Offenbacher, H., Schmidt, R., Kleinert, G., Payer, F., Radner, H., & Lechner, H. (1993) · Neurology · doi:10.1212/wnl.43.9.1683 · Cited by 1,619 · see citing works
Kivipelto, M., Helkala, E.-L., Laakso, M. P., Hänninen, T., Hallikainen, M., Alhainen, K., Soininen, H., Tuomilehto, J., & Nissinen, A. (2001) · BMJ · doi:10.1136/bmj.322.7300.1447 · Cited by 1,618 · see citing works
HYMAN, B. T., & TROJANOWSKI, J. Q. (1997) · Journal of Neuropathology and Experimental Neurology · doi:10.1097/00005072-199710000-00002 · Cited by 1,542 · see citing works
The Preclinical Phase of Alzheimer Disease: A 22-Year Prospective Study of the Framingham Cohort
Elias, M. F., Beiser, A., Wolf, P. A., Au, R., White, R. F., & D'Agostino, R. B. (2000) · Archives of Neurology · doi:10.1001/archneur.57.6.808 · Cited by 716 · see citing works
The Alzheimer's Disease Neuroimaging Initiative: Progress report and future plans
Weiner, M. W., Aisen, P. S. S., Jack, C. R., Jagust, W. J., Trojanowski, J. Q., Shaw, L. M. J., Saykin, A. J., Morris, J. C., Cairns, N. J., Beckett, L. A., et al. (2010) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2010.03.007 · Cited by 599 · see citing works
Self-citationContribution of Vascular Risk Factors to the Progression in Alzheimer Disease
Helzner, E., Luchsinger, J. A., Scarmeas, N., Cosentino, S., Brickman, A. M., Glymour, M. M., & Stern, Y. (2009) · Archives of Neurology · doi:10.1001/archneur.66.3.343 · Cited by 329 · see citing works
Self-citationWen, W., & Sachdev, P. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2003.12.027 · Cited by 315 · see citing works
Neuropathological basis of magnetic resonance images in aging and dementia
Jagust, W. J., Zheng, L., Harvey, D. J., Mack, W. J., Vinters, H. V., Weiner, M. W., Ellis, W. G., Zarow, C., Mungas, D., Reed, B. R., et al. (2008) · Annals of Neurology · doi:10.1002/ana.21296 · Cited by 302 · see citing works
Jacobs, H. I. L., Van Boxtel, M. P. J., Jolles, J., Verhey, F. R. J., & Uylings, H. B. M. (2012) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2011.06.009 · Cited by 293 · see citing works
Multi-Method Analysis of MRI Images in Early Diagnostics of Alzheimer's Disease
Wolz, R., Julkunen, V., Koikkalainen, J. R., Niskanen, E. I., Zhang, D. P., Rueckert, D., Soininen, H. S., Lötjönen, J. M. P., & Initiative, T. A. D. N. (2011) · PLoS ONE · doi:10.1371/journal.pone.0025446 · Cited by 282 · see citing works
White matter hyperintensities and cognition: Testing the reserve hypothesis
Brickman, A. M., Siedlecki, K. L., Muraskin, J., Manly, J. J., Luchsinger, J. A., Yeung, L., Brown, T. R., DeCarli, C. S., & Stern, Y. (2009) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2009.10.013 · Cited by 265 · see citing works
Self-citationBrickman, A. M., Zahodne, L. B., Guzman, V. A., Narkhede, A., Meier, I. B., Griffith, E. Y., Provenzano, F. A., Schupf, N., Manly, J. J., Stern, Y., et al. (2014) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2014.07.019 · Cited by 253 · see citing works
Self-citationBrickman, A. M., Provenzano, F. A., Muraskin, J., Manly, J. J., Blum, S., Apa, Z. L., Stern, Y., Brown, T. R., Luchsinger, J. A., & Mayeux, R. P. (2012) · Archives of Neurology · doi:10.1001/archneurol.2012.1527 · Cited by 252 · see citing works
Self-citationStandardization of analysis sets for reporting results from ADNI MRI data
Wyman, B. T., Harvey, D. J., Crawford, K. L., Bernstein, M. A., Carmichael, O. T., Cole, P. E., Crane, P. K., DeCarli, C. S., Fox, N. C., Gunter, J. L., et al. (2012) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2012.06.004 · Cited by 238 · see citing works
Self-citationZhao, Q., Lv, Y., Zhou, Y. F., Hong, Z., & Guo, Q. (2012) · PLoS ONE · doi:10.1371/journal.pone.0051157 · Cited by 235 · see citing works
Neuropathologic basis of white matter hyperintensity accumulation with advanced age
Erten‐Lyons, D., Woltjer, R. L., Kaye, J. A., Mattek, N., Dodge, H. H., Green, S., Tran, H. T. D., Howieson, D. B., Wild, K. V., & Silbert, L. C. (2013) · Neurology · doi:10.1212/wnl.0b013e3182a43e45 · Cited by 222 · see citing works
Provenzano, F. A., Muraskin, J., Tosto, G., Narkhede, A., Wasserman, B. T., Griffith, E. Y., Guzman, V. A., Meier, I. B., Zimmerman, M. E., Brickman, A. M., et al. (2013) · JAMA Neurology · doi:10.1001/jamaneurol.2013.1321 · Cited by 192 · see citing works
Self-citationBrickman, A. M., Honig, L. S., Scarmeas, N., Tatarina, O., Sanders, L. L., Albert, M., Brandt, J., Blacker, D., & Stern, Y. (2008) · Archives of Neurology · doi:10.1001/archneur.65.9.1202 · Cited by 159 · see citing works
Self-citationVascular burden and Alzheimer disease pathologic progression
Lo, R. Y., Jagust, W. J., Weiner, M., Aisen, P., Weiner, M., Aisen, P., Petersen, R., Jack, C. R., Jagust, W., Trojanowki, J. Q., et al. (2012) · Neurology · doi:10.1212/wnl.0b013e31826c1b9d · Cited by 156 · see citing works
Self-citationCerebrovascular Disease in African Americans
Gorelick, P. B. (1998) · Stroke · doi:10.1161/01.str.29.12.2656 · Cited by 142 · see citing works
Local histogram correction of MRI spatially dependent image pixel intensity nonuniformity
DeCarli, C. S., Murphy, D., Teichberg, D., Campbell, G. A., & Sobering, G. (1996) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.1880060316 · Cited by 138 · see citing works
Contemplating Alzheimer’s Disease and the Contribution of White Matter Hyperintensities
Brickman, A. M. (2013) · Current Neurology and Neuroscience Reports · doi:10.1007/s11910-013-0415-7 · Cited by 136 · see citing works
Self-citationRegional white matter hyperintensities: aging, Alzheimer's disease risk, and cognitive function
Birdsill, A. C., Koscik, R. L., Jonaitis, E. M., Johnson, S. C., Okonkwo, O. C., Hermann, B. P., LaRue, A. A., Sager, M. A., & Bendlin, B. B. (2013) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2013.10.072 · Cited by 126 · see citing works
Predicting Aggressive Decline in Mild Cognitive Impairment
Tosto, G., Zimmerman, M. E., Carmichael, O. T., & Brickman, A. M. (2014) · JAMA Neurology · doi:10.1001/jamaneurol.2014.667 · Cited by 116 · see citing works
Self-citationSchwarz, C. G., Fletcher, E., DeCarli, C. S., & Carmichael, O. T. (2009) · Lecture notes in computer science · doi:10.1007/978-3-642-02498-6_20 · Cited by 100 · see citing works
Self-citationSubclinical cerebrovascular disease in mild cognitive impairment
Luchsinger, J. A., Brickman, A. M., Reitz, C., Cho, S., Schupf, N., Manly, J. J., Tang, M. ‐., Small, S. A., Mayeux, R. P., DeCarli, C. S., et al. (2009) · Neurology · doi:10.1212/wnl.0b013e3181b1636a · Cited by 95 · see citing works
Self-citationFrontal lobe white matter hyperintensities and neurofibrillary pathology in the oldest old
Polvikoski, T. M., van Straaten, E. C. W., Barkhof, F., Sulkava, R., Aronen, H. J., Niinistö, L., Oinas, M., Scheltens, P., Erkinjuntti, T., & Kalaria, R. N. (2010) · Neurology · doi:10.1212/wnl.0b013e318200d6f9 · Cited by 88 · see citing works
Ishii, K., Sasaki, H., Kono, A. K., Miyamoto, N., Fukuda, T., & Mori, E. (2005) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-004-1740-5 · Cited by 88 · see citing works
Alzheimer's Disease: The Downside of a Highly Evolved Parietal Lobe?
Bruner, E., & Jacobs, H. I. L. (2013) · Journal of Alzheimer's Disease · doi:10.3233/jad-122299 · Cited by 87 · see citing works
Richard, E., Gouw, A. A., Scheltens, P., & van Gool, W. A. (2010) · Stroke · doi:10.1161/strokeaha.109.571281 · Cited by 82 · see citing works
Brickman, A. M., Schupf, N., Manly, J. J., Stern, Y., Luchsinger, J. A., Provenzano, F. A., Narkhede, A., Razlighi, Q. R., Collins‐Praino, L. E., Artéro, S., et al. (2014) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2014.07.155 · Cited by 81 · see citing works
Self-citationDissociable Effects of Alzheimer Disease and White Matter Hyperintensities on Brain Metabolism
Haight, T. J. (2013) · JAMA Neurology · doi:10.1001/jamaneurol.2013.1878 · Cited by 63 · see citing works
Contributors to white matter damage in the frontal lobe in Alzheimer's disease
Chalmers, K. A., Wilcock, G., & Love, S. (2005) · Neuropathology and Applied Neurobiology · doi:10.1111/j.1365-2990.2005.00678.x · Cited by 56 · see citing works
Hertze, J., Palmqvist, S., Minthon, L., & Hansson, O. (2013) · Dementia and Geriatric Cognitive Disorders Extra · doi:10.1159/000348353 · Cited by 24 · see citing works
Brickman, A. M., Narkhede, A., Schupf, N., Luchsinger, J. A., Manly, J. J., Stern, Y., Provenzano, F. A., Artéro, S., Akbaraly, T. N., Ritchie, K. A., et al. (2013) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2013.05.500 · Cited by 3 · see citing works
Self-citation
Flagged first, then by citations
Research works printed but not linked: 1
- [47]Fazekas F Kleinert R Offenbacher H Schmidt R Kleinert G Payer F Radner H Lechner H 1993 Pathologic correlates of incidental MRI white matter signal hyperintensities Neurology 43 1683 1683 8414012
Cited by
Sorted by citations
White matter changes in Alzheimer’s disease: A focus on myelin and oligodendrocytes
Nasrabady, S. E., Rizvi, B., Goldman, J. E., & Brickman, A. M. (2018) · Acta Neuropathologica Communications · doi:10.1186/s40478-018-0515-3 · Cited by 723 · see citing works
Self-citationLee, S., Viqar, F., Zimmerman, M. E., Narkhede, A., Tosto, G., Benzinger, T. L. S., Marcus, D. S., Fagan, A. M., Goate, A., Fox, N. C., et al. (2016) · Annals of Neurology · doi:10.1002/ana.24647 · Cited by 542 · see citing works
Getting to the Heart of Alzheimer Disease
Tublin, J. M., Adelstein, J. M., del Monte, F., Combs, C. K., & Wold, L. E. (2019) · Circulation Research · doi:10.1161/circresaha.118.313563 · Cited by 188 · see citing works
White matter hyperintensity topography in Alzheimer's disease and links to cognition
Garnier‐Crussard, A., Bougacha, S., Wirth, M., Dautricourt, S., Sherif, S., Landeau, B., Gonneaud, J., De Flores, R., de la Sayette, V., Vivien, D., et al. (2022) · Alzheimer's & Dementia · doi:10.1002/alz.12410 · Cited by 170 · see citing works
White matter hyperintensities in Alzheimer's disease: Beyond vascular contribution
Garnier‐Crussard, A., Cotton, F., Krolak‐Salmon, P., & Chételat, G. (2023) · Alzheimer's & Dementia · doi:10.1002/alz.13057 · Cited by 139 · see citing works
Systems-based proteomics to resolve the biology of Alzheimer’s disease beyond amyloid and tau
Rayaprolu, S., Higginbotham, L., Bagchi, P., Watson, C. M., Zhang, T., Levey, A. I., Rangaraju, S., & Seyfried, N. T. (2021) · Neuropsychopharmacology · doi:10.1038/s41386-020-00840-3 · Cited by 118 · see citing works
Qiu, L., Ng, G., Tan, E. K., Liao, P., Kandiah, N., & Zeng, L. (2016) · Scientific Reports · doi:10.1038/srep23964 · Cited by 115 · see citing works
DNA damage in the oligodendrocyte lineage and its role in brain aging
Tse, K.-H., & Herrup, K. (2017) · Mechanisms of Ageing and Development · doi:10.1016/j.mad.2016.05.006 · Cited by 108 · see citing works
Roseborough, A. D., Saad, L., Goodman, M., Cipriano, L. E., Hachinski, V. C., & Whitehead, S. N. (2023) · Alzheimer's & Dementia · doi:10.1002/alz.12642 · Cited by 80 · see citing works
White matter hyperintensities are associated with subthreshold amyloid accumulation
Moscoso, A., Rey-Bretal, D., Silva-Rodríguez, J., Aldrey, J. M., Cortés, J., Pías-Peleteiro, J., Ruibal, Á., & Aguiar, P. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.116944 · Cited by 49 · see citing works
“In this regard, WMH were found to be associated with tau burden and neuro-degeneration in AD (McAleese et al., 2015, 2017; Tosto et al., 2015), Wallerian degeneration being the most likely mechanism for this white matter (WM) disruption (Rotshenker, 2011).”
The association between white matter hyperintensities and amyloid and tau deposition
Alban, S. L., Lynch, K. M., Ringman, J. M., Toga, A. W., Chui, H. C., Sepehrband, F., & Choupan, J. (2023) · NeuroImage: Clinical · doi:10.1016/j.nicl.2023.103383 · Cited by 35 · see citing works
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 · see citing works
Gong, Z., Laporte, J. P., Guo, A. Y., Bilgel, M., Bae, J., Fox, N. Y., de Rouen, A., Zhang, N., Taranath, A., de Cabo, R., et al. (2026) · Journal of Clinical Investigation · doi:10.1172/jci196638 · Cited by 7 · see citing works
“For tau pathology, alterations in WM integrity were observed in a transgenic mouse model of fibrillar tau (21, 22), preceding the emergence of tau pathology (21), with clinical investigations suggesting a role of WM hyperintensities in tau pathology in the AD spectrum (23).”
- Authors
- Tosto, G., Zimmerman, M. E., Hamilton, J. L., Carmichael, O. T., Brickman, A. M., & Initiative, A. D. N.
- Affiliations
- Columbia University Irving Medical Center (US)
- Albert Einstein College of Medicine (US)
- Pennington Biomedical Research Center (US)
- Alzheimer’s Disease Neuroimaging Initiative (US)
- Corresponding author
- Brickman, Adam M.
- Venue
- Alzheimer's & Dementia
- Publisher
- Wiley
- Published
- 2015-06-13
- Volume
- 11
- Issue
- 12
- Pages
- 1510-1519
- ISSN
- 1552-5260 (ISSN-L)
- 1552-5279
- PMC
- PMC4677059
- OpenAlex
- W575146699
- Cited by
- 112
- References
- 55
- Citations by year
- 2026: 4 · 2025: 11 · 2024: 8 · 2023: 13 · 2022: 13 · 2021: 11 · 2020: 13 · 2019: 9 · 2018: 10 · 2017: 7 · 2016: 11 · 2015: 2
- FWCI
- 8.13
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Alzheimer s & Dementia (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- U.S. Department of Defense (W81XWH‐12‐1‐0013, W81XWH‐12‐2‐0012)
- Alzheimer's Disease Neuroimaging Initiative
- National Institutes of Health (U01 AG024904)
- National Institute on Aging
- National Institute of Biomedical Imaging and Bioengineering
- Foundation for the National Institutes of Health
- Northern California Institute for Research and Education
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Health Sciences › Medicine › Neurology › Cerebrovascular and genetic disorders
- Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
- Keywords
- white matter hyperintensities, mild cognitive impairment
- MeSH terms
- Aged, Aged, 80 and over, Alzheimer Disease, Atrophy, Female, Humans, Magnetic Resonance Imaging, Male, Middle Aged, Nerve Fibers, Myelinated, Peptide Fragments, Amyloid beta-Peptides, tau Proteins, Disease Progression, Entorhinal Cortex, Cognitive Dysfunction, White Matter
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review