Cognitive profile of amyloid burden and white matter hyperintensities in cognitively normal older adults
Open accessAbstract
Amyloid burden and white matter hyperintensities (WMH) are two common markers of neurodegeneration present in advanced aging. Each represents a potential early indicator of an age-related neurological disorder that impacts cognition. The presence of amyloid is observed in a substantial subset of cognitively normal older adults, but the literature remains equivocal regarding whether amyloid in nondemented populations is deleterious to cognition. Similarly, WMH are detected in many nondemented older adults and there is a body of evidence indicating that WMH are associated with decreased executive function and other cognitive domains. The current study investigated amyloid burden and WMH in clinically normal older adult humans aged 65-86 (N = 168) and examined each biomarker's relation with cognitive domains of episodic memory, executive function, and speed of processing. Factors for each domain were derived from a neuropsychological battery on a theoretical basis without reference to the relation between cognition and the biomarkers. Amyloid burden and WMH were not correlated with one another. Age was associated with lower performance in all cognitive domains, while higher estimated verbal intelligence was associated with higher performance in all domains. Hypothesis-driven tests revealed that amyloid burden and WMH had distinct cognitive profiles, with amyloid burden having a specific influence on episodic memory and WMH primarily associated with executive function but having broad (but lesser) effects on the other domains. These findings suggest that even before clinical impairment, amyloid burden and WMH likely represent neuropathological cascades with distinct etiologies and dissociable influences on cognition.
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?
WMHs and Aβ are key drivers of cognitive decline in healthy older adults and both are considered biomarkers of preclinical dementia.
“WMHs and Aβ are also key drivers of cognitive decline in healthy older adults, and both are considered biomarkers of preclinical dementia [6,7].”
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 [7]
The Discussion (page not provided) reports associations between amyloid burden and memory and between WMHs and executive function in cognitively normal older adults. It describes these effects as small and notes that substantial age-related differences in cognition remain unexplained, so the cross-sectional findings do not establish that either is a key driver of decline. The Abstract calls both potential early indicators of age-related neurological disorders, but does not establish both as biomarkers of preclinical dementia. (LLM, conf=0.88)
Experimental — accuracy not yet measured
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
Hu, L., & Bentler, P. M. (1999) · Structural Equation Modeling A Multidisciplinary Journal · doi:10.1080/10705519909540118 · Cited by 108,788 · see citing works
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
Miyake, A., Friedman, N. P., Emerson, M. J., Witzki, A. H., Howerter, A., & Wager, T. D. (2000) · Cognitive Psychology · doi:10.1006/cogp.1999.0734 · Cited by 15,798 · 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
Fast robust automated brain extraction
Smith, S. M. (2002) · Human Brain Mapping · doi:10.1002/hbm.10062 · Cited by 10,496 · see citing works
The 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
Effects of noise letters upon the identification of a target letter in a nonsearch task
Eriksen, B. A., & Eriksen, C. W. (1974) · Perception & Psychophysics · doi:10.3758/bf03203267 · Cited by 7,230 · see citing works
Imaging brain amyloid in Alzheimer's disease with Pittsburgh Compound‐B
Klunk, W. E., Engler, H., Nordberg, A., Wang, Y., Blomqvist, G., Holt, D. P., Bergström, M., Savitcheva, I., Huang, G., Estrada, S., et al. (2004) · Annals of Neurology · doi:10.1002/ana.20009 · Cited by 4,496 · 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
Costs of a predictible switch between simple cognitive tasks.
Rogers, R. D., & Monsell, S. (1995) · Journal of Experimental Psychology: General · doi:10.1037/0096-3445.124.2.207 · Cited by 3,170 · see citing works
Scheuner, D., Eckman, C., Jensen, M., Song, X., Citron, M., Suzuki, N., Bird, T. D., Hardy, J., Hutton, M., Kukull, W., et al. (1996) · Nature Medicine · doi:10.1038/nm0896-864 · Cited by 2,599 · see citing works
Wechsler Adult Intelligence Scale--Third Edition
Wechsler, D. (2019) · PsycTESTS Dataset · doi:10.1037/t49755-000 · Cited by 2,327 · see citing works
The relations among inhibition and interference control functions: A latent-variable analysis.
Friedman, N. P., & Miyake, A. (2004) · Journal of Experimental Psychology: General · doi:10.1037/0096-3445.133.1.101 · Cited by 2,309 · see citing works
Insights into the ageing mind: a view from cognitive neuroscience
Hedden, T., & Gabrieli, J. D. E. (2004) · Nature Reviews Neuroscience · doi:10.1038/nrn1323 · Cited by 2,223 · see citing works
Self-citationFiber Tract–based Atlas of Human White Matter Anatomy
Wakana, S., Jiang, H., Nagae‐Poetscher, L. M., van Zijl, P. C. M., & Mori, S. (2004) · Radiology · doi:10.1148/radiol.2301021640 · Cited by 2,023 · see citing works
Models of visuospatial and verbal memory across the adult life span.
Park, D. C., Lautenschlager, G. J., Hedden, T., Davidson, N. S., Smith, A. D., & Smith, P. K. (2002) · Psychology and Aging · doi:10.1037/0882-7974.17.2.299 · Cited by 1,792 · see citing works
Self-citationWAIS-R manual : Wechsler adult intelligence scale-revised
Wechsler, D. (1981) · Medical Entomology and Zoology · Cited by 1,575 · see citing works
Fiber tract-based atlas of human white matter anatomy
Wakana, S. (2006) · Medical Entomology and Zoology · Cited by 1,531 · see citing works
Memory and Executive Function in Aging and AD
Buckner, R. L. (2004) · Neuron · doi:10.1016/j.neuron.2004.09.006 · Cited by 1,508 · see citing works
Self-citationLogan, J., Fowler, J. S., Volkow, N. D., Wolf, A. P., Dewey, S. L., Schlyer, D. J., MacGregor, R. R., HITZEMANN, R. J., Bendriem, B., Gatley, S. J., et al. (1990) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1038/jcbfm.1990.127 · Cited by 1,481 · see citing works
Contributions to Neuropsychological Assessment: A Clinical Manual
Benton, A. L. (1983) · Medical Entomology and Zoology · Cited by 1,433 · see citing works
Deficits on subject-ordered tasks after frontal- and temporal-lobe lesions in man
Petrides, M., & Milner, B. A. (1982) · Neuropsychologia · doi:10.1016/0028-3932(82)90100-2 · Cited by 1,272 · see citing works
Fagan, A. M., Mintun, M. A., Mach, R. H., Lee, S., Dence, C. S., Shah, A. R., LaRossa, G. N., Spinner, M. L., Klunk, W. E., Mathis, C. A., et al. (2006) · Annals of Neurology · doi:10.1002/ana.20730 · Cited by 1,246 · see citing works
Executive Functioning as a Potential Mediator of Age-Related Cognitive Decline in Normal Adults.
Salthouse, T. A., Atkinson, T. M., & Berish, D. E. (2003) · Journal of Experimental Psychology: General · doi:10.1037/0096-3445.132.4.566 · Cited by 1,057 · see citing works
Sperling, R. A., LaViolette, P. S., O'Keefe, K., O'Brien, J., Rentz, D. M., Pihlajamaki, M., Marshall, G., Hyman, B. T., Selkoe, D. J., Hedden, T., et al. (2009) · Neuron · doi:10.1016/j.neuron.2009.07.003 · Cited by 1,027 · see citing works
Self-citationA white matter disorder in dementia of the Alzheimer type: A pathoanatomical study
Brun, A., & Englund, E. (1986) · Annals of Neurology · doi:10.1002/ana.410190306 · Cited by 1,014 · see citing works
Synthesis and Evaluation of 11C-Labeled 6-Substituted 2-Arylbenzothiazoles as Amyloid Imaging Agents
Mathis, C. A., Wang, Y., Holt, D. P., Huang, G.-F., Debnath, M. L., & Klunk, W. E. (2003) · Journal of Medicinal Chemistry · doi:10.1021/jm030026b · Cited by 976 · see citing works
The cognitive correlates of white matter abnormalities in normal aging: A quantitative review.
Gunning-Dixon, F. M., & Raz, N. (2000) · Neuropsychology · doi:10.1037/0894-4105.14.2.224 · Cited by 794 · see citing works
The cognitive correlates of white matter abnormalities in normal aging: A quantitative review.
Gunning‐Dixon, F. M., & Raz, N. (2000) · Neuropsychology · doi:10.1037//0894-4105.14.2.224 · Cited by 790 · see citing works
Kinetic Modeling of Amyloid Binding in Humans using PET Imaging and Pittsburgh Compound-B
Price, J. C., Klunk, W. E., Lopresti, B. J., Lu, X., Hoge, J. A., Ziolko, S. K., Holt, D. P., MELTZER, C. C., DeKosky, S. T., & Mathis, C. A. (2005) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1038/sj.jcbfm.9600146 · Cited by 712 · see citing works
Episodic memory loss is related to hippocampal-mediated -amyloid deposition in elderly subjects
Mormino, E. C., Kluth, J. T., Madison, C. M., Rabinovici, G. D., Baker, S. L., Miller, B. L., Koeppe, R. A., Mathis, C. A., Weiner, M. W., Jagust, W. J., et al. (2009) · Brain · doi:10.1093/brain/awn320 · Cited by 684 · see citing works
Self-citationComparisons of Verbal Fluency Tasks in the Detection of Dementia of the Alzheimer Type
Monsch, A. U., Bondi, M. W., Butters, N., Salmon, D. P., Katzman, R., & Thal, L. J. (1992) · Archives of Neurology · doi:10.1001/archneur.1992.00530360051017 · Cited by 658 · see citing works
Jack, C. R., Knopman, D. S., Weigand, S. D., Wiste, H. J., Vemuri, P., Lowe, V., Kantarci, K., Gunter, J. L., Senjem, M. L., Ivnik, R. J., et al. (2012) · Annals of Neurology · doi:10.1002/ana.22628 · Cited by 602 · see citing works
Disruption of Functional Connectivity in Clinically Normal Older Adults Harboring Amyloid Burden
Hedden, T., Van Dijk, K. R. A., Becker, J. A., Mehta, A., Sperling, R. A., Johnson, K. A., & Buckner, R. L. (2009) · The Journal of Neuroscience · doi:10.1523/jneurosci.3189-09.2009 · Cited by 598 · see citing works
Self-citationLopresti, B. J., Klunk, W. E., Mathis, C. A., Hoge, J. A., Ziolko, S. K., Lu, X., MELTZER, C. C., Schimmel, K., Tsopelas, N. D., DeKosky, S. T., et al. (2005) · PubMed · Cited by 536 · see citing works
Imaging of amyloid burden and distribution in cerebral amyloid angiopathy
Johnson, K. A., Gregas, M., Becker, J. A., Kinnecom, C., Salat, D. H., Moran, E. K., Smith, E. E., Rosand, J., Rentz, D. M., Klunk, W. E., et al. (2007) · Annals of Neurology · doi:10.1002/ana.21164 · Cited by 495 · see citing works
Self-citationImaging amyloid deposition in Lewy body diseases
Gomperts, S. N., Rentz, D. M., Moran, E., Becker, J. A., Locascio, J. J., Klunk, W. E., Mathis, C. A., Elmaleh, D. R., Shoup, T., Fischman, A. J., et al. (2008) · Neurology · doi:10.1212/01.wnl.0000326146.60732.d6 · Cited by 443 · see citing works
Self-citationβ-Amyloid burden in healthy aging: Regional distribution and cognitive consequences
Rodrigue, K. M., Kennedy, K. M., Devous, M. D., Rieck, J. R., Hebrank, A. C., Diaz-Arrastia, R., Mathews, D., & Park, D. C. (2012) · Neurology · doi:10.1212/wnl.0b013e318245d295 · Cited by 419 · see citing works
White Matter Hyperintensities on MRI in the Neurologically Nondiseased Elderly
Ylikoski, A., Erkinjuntti, T., Raininko, R., Sarna, S. J., Sulkava, R. O., & Tilvis, R. S. (1995) · Stroke · doi:10.1161/01.str.26.7.1171 · Cited by 409 · see citing works
Cognition, reserve, and amyloid deposition in normal aging
Rentz, D. M., Locascio, J. J., Becker, J. A., Moran, E. K., Eng, E., Buckner, R. L., Sperling, R. A., & Johnson, K. A. (2009) · Annals of Neurology · doi:10.1002/ana.21904 · Cited by 395 · see citing works
Self-citationNeuroanatomical substrates of age-related cognitive decline.
Salthouse, T. A. (2011) · Psychological Bulletin · doi:10.1037/a0023262 · Cited by 387 · see citing works
Resnick, S. M., Sojkova, J., Zhou, Y., An, Y., Ye, W., Holt, D. P., Dannals, R. F., Mathis, C. A., Klunk, W. E., Ferrucci, L., et al. (2010) · Neurology · doi:10.1212/wnl.0b013e3181d3e3e9 · Cited by 288 · see citing works
Reed, B. R., Mungas, D. M., Kramer, J. H., Ellis, W., Vinters, H. V., Zarow, C., Jagust, W. J., & Chui, H. C. (2007) · Brain · doi:10.1093/brain/awl385 · Cited by 282 · see citing works
Face-name associative memory performance is related to amyloid burden in normal elderly
Rentz, D. M., Amariglio, R. E., Becker, J. A., Frey, M., Olson, L. E., Frishe, K., Carmasin, J. S., Maye, J. E., Johnson, K. A., & Sperling, R. A. (2011) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2011.06.006 · Cited by 264 · see citing works
Self-citationAmyloid Imaging in Aging and Dementia: Testing the Amyloid HypothesisIn Vivo
Rabinovici, G. D., & Jagust, W. J. (2009) · Behavioural Neurology · doi:10.1155/2009/609839 · Cited by 224 · see citing works
Relation of neuropathology to cognition in persons without cognitive impairment
Bennett, D. A., Wilson, R. S., Boyle, P. A., Buchman, A. S., & Schneider, J. A. (2012) · Annals of Neurology · doi:10.1002/ana.23654 · Cited by 220 · see citing works
Alzheimer Disease and Cognitive Reserve
Roe, C. M., Mintun, M. A., D’Angelo, G., Xiong, C., Grant, E., & Morris, J. C. (2008) · Archives of Neurology · doi:10.1001/archneur.65.11.1467 · Cited by 215 · see citing works
Hedden, T., & Yoon, C. (2006) · Neuropsychology · doi:10.1037/0894-4105.20.5.511 · Cited by 212 · see citing works
Self-citationRichard Ridderinkhof, K., P.H. Band, G., & D. Logan, G. (1999) · Acta Psychologica · doi:10.1016/s0001-6918(99)00010-4 · Cited by 200 · see citing works
Holland, C. M., Smith, E. E., Csapo, I., Gurol, M. E., Brylka, D. A., Killiany, R., Blacker, D., Albert, M., Guttmann, C. R. G., & Greenberg, S. M. (2008) · Stroke · doi:10.1161/strokeaha.107.497438 · Cited by 199 · see citing works
Amyloid imaging in aging and dementia: testing the amyloid hypothesis in vivo.
Rabinovici, G. D., & Jagust, W. J. (2009) · PubMed Central · doi:10.3233/ben-2009-0232 · Cited by 194 · see citing works
A fully automated method for quantifying and localizing white matter hyperintensities on MR images
Wu, M., Rosano, C., Butters, M. A., Whyte, E. M., Nable, M., Crooks, R., MELTZER, C. C., Reynolds, C. F., & Aizenstein, H. J. (2006) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2006.09.003 · Cited by 194 · see citing works
Neuroanatomical and Cognitive Mediators of Age-Related Differences in Episodic Memory
Head, D., Rodrigue, K., Kennedy, K. M., & Raz, N. (2008) · Neuropsychology · doi:10.1037/0894-4105.22.4.491 · Cited by 192 · see citing works
Cognition and beta-amyloid in preclinical Alzheimer's disease: data from the AIBL study.
Pike, K., Ellis, K., Villemagne, V., Good, N. M., Chételat, G., Ames, D., Szoeke, C., Laws, S., Verdile, G., Martins, R., et al. (2011) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2011.04.012 · Cited by 167 · see citing works
APOE modifies the association between Aβ load and cognition in cognitively normal older adults
Kantarci, K., Lowe, V. J., Przybelski, S. A., Weigand, S. D., Senjem, M. L., Ivnik, R. J., Preboske, G. M., Roberts, R. O., Geda, Y. E., Boeve, B. F., et al. (2011) · Neurology · doi:10.1212/wnl.0b013e31824365ab · Cited by 159 · see citing works
White matter hyperintensities predict amyloid increase in Alzheimer's disease
Grimmer, T., Faust, M., Auer, F., Alexopoulos, P., Förstl, H., Henriksen, G., Perneczky, R., Sorg, C., Yousefi, B. H., Drzezga, A. E., et al. (2012) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2012.01.016 · Cited by 139 · see citing works
Amyloid imaging as a biomarker for cerebral β-amyloidosis and risk-prediction for Alzheimer dementia
Klunk, W. (2011) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2011.09.006 · Cited by 134 · see citing works
Cerebrovascular disease, beta-amyloid, and cognition in aging
Marchant, N. L., Reed, B. R., DeCarli, C. S., Madison, C. M., Weiner, M. W., Chui, H. C., & Jagust, W. J. (2012) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2011.10.001 · Cited by 127 · see citing works
Structural neuroimaging in Alzheimer's disease: do white matter hyperintensities matter?
Brickman, A. M., Muraskin, J., & Zimmerman, M. E. (2009) · Dialogues in Clinical Neuroscience · doi:10.31887/dcns.2009.11.2/ambrickman · Cited by 125 · see citing works
A screening procedure for estimating premorbid intelligence in the elderly
Ryan, J. J., & Paolo, A. M. (1992) · The Clinical Neuropsychologist · doi:10.1080/13854049208404117 · Cited by 104 · see citing works
Memory interference effects and aging: Findings from a test of frontal lobe function.
Shimamura, A. P., & Jurica, P. J. (1994) · Neuropsychology · doi:10.1037/0894-4105.8.3.408 · Cited by 104 · see citing works
Predicting development of dementia in the elderly with the Selective Reminding Test
Masur, D. M., Fuld, P. A., Blau, A. D., Crystal, H., & Aronson, M. K. (1990) · Journal of Clinical and Experimental Neuropsychology · doi:10.1080/01688639008400999 · Cited by 96 · see citing works
Frontal 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
Amyloid β1–42 oligomer inhibits myelin sheet formation in vitro
Horiuchi, M., Maezawa, I., Itoh, A., Wakayama, K., Jin, L., Itoh, T., & DeCarli, C. S. (2010) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2010.05.007 · Cited by 83 · see citing works
Failure to Modulate Attentional Control in Advanced Aging Linked to White Matter Pathology
Hedden, T., Dijk, K. R. A. V., Shire, E. H., Sperling, R. A., Johnson, K., & Buckner, R. L. (2011) · Cerebral Cortex · doi:10.1093/cercor/bhr172 · Cited by 81 · see citing works
Self-citationValidation of the Face Name Associative Memory Exam in Cognitively Normal Older Individuals
Amariglio, R., Frishe, K., Olson, L. E., Wadsworth, L., Lorius, N., Sperling, R., & Rentz, D. (2012) · Journal of Clinical and Experimental Neuropsychology · doi:10.1080/13803395.2012.666230 · Cited by 74 · see citing works
Self-citationFathallah‐Shaykh, H. M. (2010) · Archives of Neurology · doi:10.1001/archneurol.2010.19 · Cited by 69 · see citing works
Generalizability of two methods of estimating premorbid intelligence in the elderly
Paolo, A. M., & Ryan, J. J. (1992) · Archives of Clinical Neuropsychology · doi:10.1093/arclin/7.2.135 · Cited by 66 · see citing works
Prefrontal cortex cytoarchitecture in normal aging and Alzheimer’s disease: a relationship with IQ
van Veluw, S. J., Sawyer, E. K., Clover, L. M., Cousijn, H., de Jager, C., Esiri, M. M., & Chance, S. A. (2012) · Brain Structure and Function · doi:10.1007/s00429-012-0381-x · Cited by 59 · see citing works
Toward a multifactorial model of Alzheimer disease
Storandt, M., Head, D. M., Fagan, A. M., Holtzman, D. M., & Morris, J. C. (2012) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2011.11.029 · Cited by 53 · see citing works
Hommet, C., Mondon, K., Constans, T., Beaufils, É., Desmidt, T., Camus, V., & Cottier, J. (2011) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000335568 · Cited by 53 · see citing works
Effects of age and β-amyloid on cognitive changes in normal elderly people
Oh, H., Madison, C. M., Haight, T. J., Markley, C., & Jagust, W. J. (2012) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2012.02.008 · Cited by 43 · see citing works
Chen, Y., Wang, H., Chu, Y., Huang, Y., & Su, M. (2006) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000094785 · Cited by 42 · see citing works
Timed Executive Functions and White Matter in Aging With and Without Cardiovascular Risk Factors
Oosterman, J. M., Sergeant, J. A., Weinstein, H. C., & Scherder, E. (2004) · Reviews in the Neurosciences · doi:10.1515/revneuro.2004.15.6.439 · Cited by 41 · see citing works
Sojkova, J., & Resnick, S. M. (2011) · Current Alzheimer Research · doi:10.2174/156720511795745375 · Cited by 36 · see citing works
He, J., Wong, V. S. S., Fletcher, E. M., Maillard, P., Lee, D. Y., Iosif, A., Singh, B., Martinez, O., Roach, A. E., Lockhart, S. N., et al. (2012) · American Journal of Neuroradiology · doi:10.3174/ajnr.a3048 · Cited by 24 · see citing works
Axon–glial disruption: the link between vascular disease and Alzheimer's disease?
Horsburgh, K. J., Reimer, M. M., Holland, P. R., Chen, G., Scullion, G. A., & Fowler, J. H. (2011) · Biochemical Society Transactions · doi:10.1042/bst0390881 · Cited by 16 · see citing works
White Matter Lesions Are Not Related toβ-Amyloid Deposition in an Autopsy-Based Study
Rutten‐Jacobs, L. C. A., de Leeuw, F., van Bon, L. G., de Gouberville, M. C. G., Schepens‐Franke, A. N., Dederen, P. J. W. C., Spliet, W. G. M., Wesseling, P., & Kiliaan, A. J. (2011) · Current Gerontology and Geriatrics Research · doi:10.1155/2011/826862 · Cited by 15 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Imaging the evolution and pathophysiology of Alzheimer disease
Jagust, W. (2018) · Nature Reviews Neuroscience · doi:10.1038/s41583-018-0067-3 · Cited by 604 · see citing works
Donovan, N. J., Locascio, J. J., Marshall, G. A., Gatchel, J., Hanseeuw, B. J., Rentz, D. M., Johnson, K. A., Sperling, R. A., & Study, F. T. H. A. B. (2018) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2017.17040442 · Cited by 272 · see citing works
Self-citationMohajeri, M. H., Troesch, B., & Weber, P. (2015) · Nutrition · doi:10.1016/j.nut.2014.06.016 · Cited by 141 · see citing works
White matter hyperintensities across the adult lifespan: Relation to age, Aβ load, and cognition
Garnier-Crussard, A., Bougacha, S., Wirth, M., André, C., Delarue, M., Landeau, B., Mézenge, F., Kuhn, E., Gonneaud, J., Chocat, A., et al. (2020) · Alzheimer's Research & Therapy · doi:10.1186/s13195-020-00669-4 · Cited by 130 · see citing works
Brain Network Modularity Predicts Exercise-Related Executive Function Gains in Older Adults
Baniqued, P. L., Gallen, C. L., Voss, M. W., Burzynska, A. Z., Wong, C. N., Cooke, G. E., Duffy, K., Fanning, J., Ehlers, D. K., Salerno, E. A., et al. (2018) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2017.00426 · Cited by 112 · see citing works
Cerebral white matter lesions – associations with Aβ isoforms and amyloid PET
van Westen, D., Lindqvist, D., Blennow, K., Minthon, L., Nägga, K., Stomrud, E., Zetterberg, H., & Hansson, O. (2016) · Scientific Reports · doi:10.1038/srep20709 · Cited by 66 · see citing works
Effects of amyloid and vascular markers on cognitive decline in subcortical vascular dementia
Ye, B. S., Seo, S. W., Kim, J.-H., Kim, G. H., Cho, H., Noh, Y., Kim, H. J., Yoon, C. W., Woo, S.-Y., Kim, S. H., et al. (2015) · Neurology · doi:10.1212/wnl.0000000000002097 · Cited by 67 · see citing works
Estimating Total Cerebral Microinfarct Burden From Diffusion-Weighted Imaging
Auriel, E., Westover, M. B., Bianchi, M. T., Reijmer, Y., Martinez-Ramirez, S., Ni, J., Van Etten, E., Frosch, M. P., Fotiadis, P., Schwab, K., et al. (2015) · Stroke · doi:10.1161/strokeaha.115.009208 · Cited by 61 · see citing works
Self-citationStudy, F. T. A., Brugulat-Serrat, A., Salvadó, G., Sudre, C. H., Grau-Rivera, O., Suárez-Calvet, M., Falcon, C., Sánchez-Benavides, G., Gramunt, N., Fauria, K., et al. (2020) · Brain Imaging and Behavior · doi:10.1007/s11682-019-00151-2 · Cited by 64 · see citing works
Hippocampal hypometabolism in older adults with memory complaints and increased amyloid burden
Vannini, P., Hanseeuw, B., Munro, C. E., Amariglio, R. E., Marshall, G. A., Rentz, D. M., Pascual-Leone, A., Johnson, K. A., & Sperling, R. A. (2017) · Neurology · doi:10.1212/wnl.0000000000003889 · Cited by 61 · see citing works
Self-citationCued memory decline in biomarker-defined preclinical Alzheimer disease
Papp, K. V., Rentz, D. M., Mormino, E. C., Schultz, A. P., Amariglio, R. E., Quiroz, Y., Johnson, K. A., & Sperling, R. A. (2017) · Neurology · doi:10.1212/wnl.0000000000003812 · Cited by 52 · see citing works
Self-citationPettigrew, C., Soldan, A., Moghekar, A., Wang, M.-C., Gross, A. L., O’Brien, R., & Albert, M. (2015) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2015.09.024 · Cited by 38 · 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
Ali, D. G., Abner, E. L., Bahrani, A. A., El Khouli, R., Gold, B. T., Jiang, Y., Wilcock, D. M., & Jicha, G. A. (2023) · Brain Sciences · doi:10.3390/brainsci13020218 · Cited by 7 · see citing works
“WMHs and Aβ are also key drivers of cognitive decline in healthy older adults, and both are considered biomarkers of preclinical dementia [6,7].”
Background
- Authors
- Hedden, T., Mormino, E. C., Amariglio, R. E., Younger, A. P., Schultz, A. P., Becker, J. A., Buckner, R. L., Johnson, K. A., Sperling, R. A., & Rentz, D. M.
- Affiliations
- Harvard University (US)
- Brigham and Women's Hospital (US)
- Massachusetts General Hospital (US)
- Howard Hughes Medical Institute (US)
- ORCID
- Venue
- The Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 2012-11-14
- Volume
- 32
- Issue
- 46
- Pages
- 16233-16242
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- PMC
- PMC3523110
- OpenAlex
- W2115296012
- Cited by
- 182
- References
- 82
- Citations by year
- 2026: 6 · 2025: 6 · 2024: 7 · 2023: 7 · 2022: 9 · 2021: 7 · 2020: 18 · 2019: 12 · 2018: 18 · 2017: 16 · 2016: 13 · 2015: 25 · 2014: 21 · 2013: 17
- FWCI
- 14.34
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Journal of Neuroscience (publishedVersion, cc-by-nc-sa)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- Funders
- Howard Hughes Medical Institute
- Massachusetts General Hospital (1S10RR023401, 1S10RR019307, 1S10RR023043, P41RR14075)
- National Institutes of Health (1s10rr019307-01, RR14075, AG 036694, 1s10rr023043-01)
- National Institute on Aging (K01AG040197, K24AG035007, R01AG027435, P50AG005134, P50 AG0513421, R01AG034556, P01AG036694, P30AG062421)
- National Center for Research Resources (P41-RR-14075, RR 14075, S10-RR019307, S10-RR-023043, P41RR014075, 1S10RR0 23043, 1S10-RR019307, S10RR023401)
- 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
- amyloid burden, white matter hyperintensities, cognitively normal older adults, episodic memory, executive function, processing speed, neurodegeneration, verbal intelligence, age-related cognitive decline
- MeSH terms
- Aged, Aged, 80 and over, Amyloid, Amyloidosis, Brain, Cognition, Factor Analysis, Statistical, Female, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Male, Neuropsychological Tests, Psychomotor Performance, Anatomy, Cross-Sectional, Positron-Emission Tomography
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
