Cited by 213Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatmentsAdvanced MRI Techniques and Applications

The DOI matches its Crossref record; 121 of the 122 references it cites were found in a registry or an index.

The Utility of Cerebral Blood Flow as a Biomarker of Preclinical Alzheimer’s Disease

Open access

Hays, Chelsea C., Zlatar, Zvinka Z., Wierenga, Christina E.·2016·Cellular and Molecular Neurobiology

DOI 10.1007/s10571-015-0261-zPMC PMC5278904

Open this paper in CoChat — free account

Abstract

There is accumulating evidence suggesting that changes in brain perfusion are present long before the clinical symptoms of Alzheimer's disease (AD), perhaps even before amyloid-β accumulation or brain atrophy. This evidence, consistent with the vascular hypothesis of AD, implicates cerebral blood flow (CBF) in the pathogenesis of AD and suggests its utility as a biomarker of preclinical AD. The extended preclinical phase of AD holds particular significance for disease modification, as treatment would likely be most effective in this early asymptomatic stage of disease. This highlights the importance of identifying reliable and accurate biomarkers of AD that can differentiate normal aging from preclinical AD prior to clinical symptom manifestation. Cerebral perfusion, as measured by arterial spin labeling magnetic resonance imaging (ASL-MRI), has been shown to distinguish between normal controls and adults with AD. In addition to demonstrating diagnostic utility, CBF has shown usefulness as a tool for identifying those who are at risk for AD and for predicting subtle cognitive decline and conversion to mild cognitive impairment and AD. Taken together, this evidence not only implicates CBF as a useful biomarker for tracking disease severity and progression, but also suggests that ASL-measured CBF may be useful for identifying candidates for future AD treatment trials, especially in the preclinical, asymptomatic phases of the disease.

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 · 10.1007/s10571-015-0261-z

Cites

121 of 121 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.

Self-check

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

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

The diagnosis of dementia due to Alzheimer's disease: Recommendations from the National Institute on Aging‐Alzheimer's Association workgroups on diagnostic guidelines for Alzheimer's disease
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
The diagnosis of mild cognitive impairment due to Alzheimer's disease: Recommendations from the National Institute on Aging‐Alzheimer's Association workgroups on diagnostic guidelines for Alzheimer's disease
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 2×
“2011), MCI (Albert et al. 2011), and preclinical AD (Sperling et al.”
BackgroundMethod
Gene Dose of Apolipoprotein E Type 4 Allele and the Risk of Alzheimer's Disease in Late Onset Families
Corder, E. H., Saunders, A. M., Strittmatter, W. J., Schmechel, D. E., Gaskell, P. C., Small, G. W., Roses, A. D., Haines, J. L., & Pericak-Vance, M. A. (1993) · Science · doi:10.1126/science.8346443 · Cited by 9,429
Toward defining the preclinical stages of Alzheimer’s disease: Recommendations from the National Institute on Aging-Alzheimer’s Association workgroups on diagnostic guidelines for Alzheimer’s disease
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
Biomarkers and surrogate endpoints: Preferred definitions and conceptual framework
Biomarkers Definitions Working Group (2001) · Clinical Pharmacology & Therapeutics · doi:10.1067/mcp.2001.113989 · Cited by 6,771
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
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
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
Association of apolipoprotein E allele ϵ4 with late‐onset familial and sporadic Alzheimer's disease
Saunders, A. M., Strittmatter, W. J., Schmechel, D., St. George-Hyslop, P. H., Pericak-Vance, M. A., Joo, S. H., Rosi, B. L., Gusella, J. F., Crapper-MacLachlan, D. R., Alberts, M. J., et al. (1993) · Neurology · doi:10.1212/wnl.43.8.1467 · Cited by 3,786
Default-mode network activity distinguishes Alzheimer’s disease from healthy aging: evidence from functional MRI
Greicius, M. D., Srivastava, G., Reiss, A. L., & Menon, V. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0308627101 · Cited by 3,684

Show all 122 references

Research works printed but not linked: 1

Sojkova, Goh, Beason-Held (2011) Increased beta-amyloid deposition is related to regional cerebral blood flow in nondemented older adults. In: Fifth Human Amyloid Imaging Conference, Miami

Sorted by citations

The role of brain vasculature in neurodegenerative disorders
Sweeney, M. D., Kisler, K., Montagne, A., Toga, A. W., & Zlokovic, B. V. (2018) · Nature Neuroscience · doi:10.1038/s41593-018-0234-x · Cited by 998
Extending the Human Connectome Project across ages: Imaging protocols for the Lifespan Development and Aging projects
Harms, M. P., Somerville, L. H., Ances, B. M., Andersson, J., Barch, D. M., Bastiani, M., Bookheimer, S. Y., Brown, T., Buckner, R. L., Burgess, G. C., et al. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.09.060 · Cited by 596
The Lifespan Human Connectome Project in Aging: An overview
Bookheimer, S. Y., Salat, D. H., Terpstra, M., Ances, B. M., Barch, D. M., Buckner, R. L., Burgess, G. C., Curtiss, S. W., Díaz‐Santos, M., Elam, J. S., et al. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.10.009 · Cited by 487
Alzheimer’s Disease and Vascular Aging
Cortes-Canteli, M., & Iadecola, C. (2020) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2019.10.062 · Cited by 400
Neuroimaging advances regarding subjective cognitive decline in preclinical Alzheimer's disease
Wang, X., Huang, W., Su, L., Xing, Y., Jessen, F., Sun, Y., Shu, N., & Han, Y. (2020) · Molecular Neurodegeneration · doi:10.1186/s13024-020-00395-3 · Cited by 265
Vascular Dysfunction in Alzheimer’s Disease: A Prelude to the Pathological Process or a Consequence of It?
Govindpani, K., McNamara, L. G., Smith, N. R., Vinnakota, C., Waldvogel, H. J., Faull, R. L. M., & Kwakowsky, A. (2019) · Journal of Clinical Medicine · doi:10.3390/jcm8050651 · Cited by 281
Neurovascular Unit Dysfunction and Neurodegenerative Disorders
Yu, X., Ji, C., & Shao, A. (2020) · Frontiers in Neuroscience · doi:10.3389/fnins.2020.00334 · Cited by 244
Hypoxia/ischemia activate processing of Amyloid Precursor Protein: impact of vascular dysfunction in the pathogenesis of Alzheimer's disease
Salminen, A., Kauppinen, A., & Kaarniranta, K. (2016) · Journal of Neurochemistry · doi:10.1111/jnc.13932 · Cited by 206
Alzheimer’s Disease: The Link Between Amyloid-β and Neurovascular Dysfunction
Solis, E., Hascup, K. N., & Hascup, E. R. (2020) · Journal of Alzheimer s Disease · doi:10.3233/jad-200473 · Cited by 192
The diagnostic value of FDG and amyloid PET in Alzheimer’s disease—A systematic review
Rice, L., & Bisdas, S. (2017) · European Journal of Radiology · doi:10.1016/j.ejrad.2017.07.014 · Cited by 156
Causes and consequences of baseline cerebral blood flow reductions in Alzheimer’s disease
Bracko, O., Hernández, J. C. C., Park, L., Nishimura, N., & Schaffer, C. B. (2021) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1177/0271678x20982383 · Cited by 127
Evaluation of Ocular Perfusion in Alzheimer’s Disease Using Optical Coherence Tomography Angiography
Lahme, L., Esser, E. L., Mihailovic, N., Schubert, F., Lauermann, J. L., Johnen, A., Eter, N., Duning, T., & Alnawaiseh, M. (2018) · Journal of Alzheimer s Disease · doi:10.3233/jad-180738 · Cited by 126
Cerebral Hemodynamics in Mild Cognitive Impairment: A Systematic Review
Beishon, L., Haunton, V. J., Panerai, R. B., & Robinson, T. G. (2017) · Journal of Alzheimer s Disease · doi:10.3233/jad-170181 · Cited by 122
Comparison of Retinal Microvasculature in Patients With Alzheimer's Disease and Primary Open-Angle Glaucoma by Optical Coherence Tomography Angiography
Zabel, P., Kałuzny, J. J., Wiłkość-Dębczyńska, M., Gębska‐Tołoczko, M., Suwała, K., Zabel, K., Żaroń, A., Kucharski, R., & Araszkiewicz, A. S. (2019) · Investigative Ophthalmology & Visual Science · doi:10.1167/iovs.19-27028 · Cited by 122
Phosphodiesterase Inhibitors for Alzheimer’s Disease: A Systematic Review of Clinical Trials and Epidemiology with a Mechanistic Rationale
Sanders, O. D., & Rajagopal, L. (2020) · Journal of Alzheimer s Disease Reports · doi:10.3233/adr-200191 · Cited by 117
Hypertension, dietary salt and cognitive impairment
Santisteban, M. M., & Iadecola, C. (2018) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1177/0271678x18803374 · Cited by 107
The effect of physical exercise on cerebral blood flow in Alzheimer's disease
van der Kleij, L. A., Petersen, E. T., Siebner, H. R., Hendrikse, J., Frederiksen, K. S., Sobol, N. A., Hasselbalch, S. G., & Garde, E. (2018) · NeuroImage Clinical · doi:10.1016/j.nicl.2018.09.003 · Cited by 103
Functional MRI of brain physiology in aging and neurodegenerative diseases
Chen, J. J. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.05.050 · Cited by 96
Age-Related Alterations in Retinal Tissue Perfusion and Volumetric Vessel Density
Lin, Y., Jiang, H., Liu, Y., Gameiro, G. R., Gregori, G., Dong, C., Rundek, T., & Wang, J. (2019) · Investigative Ophthalmology & Visual Science · doi:10.1167/iovs.18-25864 · Cited by 94
Decreased Retinal Vascular Density in Alzheimer’s Disease (AD) and Mild Cognitive Impairment (MCI): An Optical Coherence Tomography Angiography (OCTA) Study
Wang, X., Zhao, Q., Tao, R., Lu, H., Xiao, Z., Zheng, L., Ding, D., Ding, S., Ma, Y., Lu, Z., et al. (2021) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2020.572484 · Cited by 93
Increased cortical capillary transit time heterogeneity in Alzheimer's disease: a DSC-MRI perfusion study
Eskildsen, S. F., Gyldensted, L., Nagenthiraja, K., Nielsen, R. B., Hansen, M. B., Dalby, R. B., Frandsen, J. R., Rodell, A. B., Gyldensted, C., Jespersen, S. N., et al. (2016) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2016.11.004 · Cited by 90
From Neurodevelopmental to Neurodegenerative Disorders: The Vascular Continuum
Ouellette, J., & Lacoste, B. (2021) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2021.749026 · Cited by 91
Increasing cerebral blood flow improves cognition into late stages in Alzheimer’s disease mice
Bracko, O., Njiru, B. N., Swallow, M. A., Ali, M. A., Haft‐Javaherian, M., & Schaffer, C. B. (2019) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1177/0271678x19873658 · Cited by 89
Mitochondrial oxidative stress in brain microvascular endothelial cells: Triggering blood-brain barrier disruption
Wang, Y., Wu, J., Wang, J., He, L., Lai, H., Zhang, T., Wang, X., & Li, W. (2023) · Mitochondrion · doi:10.1016/j.mito.2023.01.007 · Cited by 86
Evidence to Consider Angiotensin II Receptor Blockers for the Treatment of Early Alzheimer’s Disease
Saavedra, J. M. (2016) · Cellular and Molecular Neurobiology · doi:10.1007/s10571-015-0327-y · Cited by 84
The pericyte–glia interface at the blood–brain barrier
Giannoni, P., Badaut, J., Dargazanli, C., De Maudave, A. F., Klement, W., Costalat, V., & Marchi, N. (2018) · Clinical Science · doi:10.1042/cs20171634 · Cited by 81
A Clinicopathological Investigation of White Matter Hyperintensities and Alzheimer’s Disease Neuropathology
Alosco, M. L., Sugarman, M. A., Besser, L. M., Tripodis, Y., Martin, B. M., Palmisano, J. N., Kowall, N. W., Au, R., Mez, J., DeCarli, C. S., et al. (2018) · Journal of Alzheimer s Disease · doi:10.3233/jad-180017 · Cited by 76
Neutrophil Extracellular Traps in Cerebral Ischemia/Reperfusion Injury: Friend and Foe
Luo, H., Guo, H., Zhou, Y., Fang, R., Zhang, W., & Mei, Z. (2023) · Current Neuropharmacology · doi:10.2174/1570159x21666230308090351 · Cited by 78
Visual system manifestations of Alzheimer's disease
Kusne, Y. N., Wolf, A. B., Townley, K., Conway, M. D., & Peyman, G. A. (2016) · Acta Ophthalmologica · doi:10.1111/aos.13319 · Cited by 74
GLP-1 Receptor Agonists in Neurodegeneration: Neurovascular Unit in the Spotlight
Monti, G., Moreira, D. G., Richner, M., Mutsaers, H. A. M., Ferreira, N., & Jan, A. (2022) · Cells · doi:10.3390/cells11132023 · Cited by 72
Are Major Dementias Triggered by Poor Blood Flow to the Brain? Theoretical Considerations
de la Torre, J. C. (2017) · Journal of Alzheimer s Disease · doi:10.3233/jad-161266 · Cited by 70
Sex and age-related differences in cerebral blood flow investigated using pseudo-continuous arterial spin labeling magnetic resonance imaging
Alisch, J. S. R., Khattar, N., Kim, R. W., Cortina, L. E., Rejimon, A. C., Qian, W., Ferrucci, L., Resnick, S. M., Spencer, R. G. S., & Bouhrara, M. (2021) · Aging · doi:10.18632/aging.202673 · Cited by 64
The road to precision medicine: Eliminating the “One Size Fits All” approach in Alzheimer’s disease
Behl, T., Kaur, I., Sehgal, A., Singh, S., Albarrati, A., Albratty, M., Najmi, A., Meraya, A. M., & BUNGAU, S. G. (2022) · Biomedicine & Pharmacotherapy · doi:10.1016/j.biopha.2022.113337 · Cited by 67
Manual Acupuncture Regulates Behavior and Cerebral Blood Flow in the SAMP8 Mouse Model of Alzheimer’s Disease
Ding, N., Jiang, J. H., Xu, A., Tang, Y., & Li, Z. (2019) · Frontiers in Neuroscience · doi:10.3389/fnins.2019.00037 · Cited by 63
Cerebral Artery Pulsatility is Associated with Cognitive Impairment and Predicts Dementia in Individuals with Subjective Memory Decline or Mild Cognitive Impairment
Chung, C., Lee, H.-Y., Lin, P.-C., & Wang, P. (2017) · Journal of Alzheimer s Disease · doi:10.3233/jad-170349 · Cited by 63
mTOR Attenuation with Rapamycin Reverses Neurovascular Uncoupling and Memory Deficits in Mice Modeling Alzheimer's Disease
Skike, C. E. V., Hussong, S. A., Hernandez, S. F., Banh, A. Q., DeRosa, N., & Galván, V. (2021) · Journal of Neuroscience · doi:10.1523/jneurosci.2144-20.2021 · Cited by 60
Lower cerebral blood flow in subjects with Alzheimer's dementia, mild cognitive impairment, and subjective cognitive decline using two‐dimensional phase‐contrast magnetic resonance imaging
Leijenaar, J. F., van Maurik, I. S., Kuijer, J. P. A., van der Flier, W. M., Scheltens, P., Barkhof, F., & Prins, N. D. (2017) · Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring · doi:10.1016/j.dadm.2017.10.001 · Cited by 61
Impaired Cerebral Haemodynamics in Vascular Depression: Insights From Transcranial Doppler Ultrasonography
Puglisi, V., Bramanti, A., Lanza, G., Cantone, M., Vinciguerra, L., Pennisi, M., Bonanno, L., Pennisi, G., & Bella, R. (2018) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2018.00316 · Cited by 56
An Algorithm for Preclinical Diagnosis of Alzheimer's Disease
Khan, T. K. (2018) · Frontiers in Neuroscience · doi:10.3389/fnins.2018.00275 · Cited by 56
Associations between cerebral blood flow and structural and functional brain imaging measures in individuals with neuropsychologically defined mild cognitive impairment
Kim, C. M., Alvarado, R. L., Stephens, K. A., Wey, H., Wang, D. J. J., Leritz, E. C., & Salat, D. H. (2019) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2019.10.023 · Cited by 54
ASLPrep: a platform for processing of arterial spin labeled MRI and quantification of regional brain perfusion
Adebimpe, A., Bertolero, M., Dolui, S., Cieslak, M., Murtha, K., Baller, E. B., Boeve, B., Boxer, A., Butler, E. R., Cook, P. A., et al. (2022) · Nature Methods · doi:10.1038/s41592-022-01458-7 · Cited by 43
Functional neuroimaging findings in healthy middle-aged adults at risk of Alzheimer’s disease
Habib, M., Mak, E., Gabel, S., Su, L., Williams, G., Waldman, A., Wells, K., Ritchie, K., Ritchie, C., & O’Brien, J. T. (2017) · Ageing Research Reviews · doi:10.1016/j.arr.2017.03.004 · Cited by 53
Arterial spin labeling: Clinical applications
Ho, M. (2018) · Journal of Neuroradiology · doi:10.1016/j.neurad.2018.06.003 · Cited by 51
Influence of different isoflurane anesthesia protocols on murine cerebral hemodynamics measured with pseudo‐continuous arterial spin labeling
Munting, L. P., Derieppe, M. P. P., Suidgeest, E., de Senneville, B. D., Wells, J. A., & van der Weerd, L. (2019) · NMR in Biomedicine · doi:10.1002/nbm.4105 · Cited by 51
Renin-Angiotensin System and Alzheimer’s Disease Pathophysiology: From the Potential Interactions to Therapeutic Perspectives
Ribeiro, V. T., de Souza, L. C., & Silva, A. C. S. E. (2019) · Protein and Peptide Letters · doi:10.2174/0929866527666191230103739 · Cited by 50
Impact of sex and APOE ε4 on age-related cerebral perfusion trajectories in cognitively asymptomatic middle-aged and older adults: A longitudinal study
Wang, R., Oh, J. M., Motovylyak, A., Ma, Y., Sager, M. A., Rowley, H. A., Johnson, K. M., Gallagher, C. L., Carlsson, C. M., Bendlin, B. B., et al. (2021) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1177/0271678x211021313 · Cited by 49
Reduced Cerebral Blood Flow in Mild Cognitive Impairment Assessed Using Phase-Contrast MRI
de Eulate, R. G., Goñi, I., Galiano, A., Vidorreta, M., Recio, M., Riverol, M., Zubieta, J. L., & Fernández-Seara, M. A. (2017) · Journal of Alzheimer’s Disease · doi:10.3233/jad-161222 · Cited by 48
Altered Regional Cerebral Blood Flow and Brain Function Across the Alzheimer's Disease Spectrum: A Potential Biomarker
Zhang, Q., Wang, Q., He, C., Fan, D., Zhu, Y., Zang, F., Tan, C., Zhang, S., Shu, H., Zhang, Z., et al. (2021) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2021.630382 · Cited by 48
The role of mitochondrial defects and oxidative stress in Alzheimer’s disease
Islam, B. U., Jabir, N. R., & Tabrez, S. S. M. (2019) · Journal of drug targeting · doi:10.1080/1061186x.2019.1584808 · Cited by 48
APOE genotype-dependent pharmacogenetic responses to rapamycin for preventing Alzheimer's disease
Lin, A., Parikh, I. J., Yanckello, L. M., White, R. S., Hartz, A. M. S., Taylor, C. E., McCulloch, S. D., Thalman, S. W., Xia, M., McCarty, K. L., et al. (2020) · Neurobiology of Disease · doi:10.1016/j.nbd.2020.104834 · Cited by 45
Effects of Physical Exercise Training on Cerebral Blood Flow Measurements: A Systematic Review of Human Intervention Studies
Kleinloog, J. P. D., Nijssen, K. M. R., Mensink, R. P., & Joris, P. J. (2022) · International Journal of Sport Nutrition and Exercise Metabolism · doi:10.1123/ijsnem.2022-0085 · Cited by 50
Chronic Cerebral Hypoperfusion Promotes Amyloid-Beta Pathogenesis via Activating β/γ-Secretases
Cai, Z., Liu, Z., Xiao, M., Wang, C., & Tian, F. (2017) · Neurochemical Research · doi:10.1007/s11064-017-2391-9 · Cited by 42
Fitness, independent of physical activity is associated with cerebral blood flow in adults at risk for Alzheimer’s disease
Dougherty, R. J., Boots, E. A., Lindheimer, J. B., Stegner, A. J., Riper, S. M. V., Edwards, D. F., Gallagher, C. L., Carlsson, C. M., Rowley, H. A., Bendlin, B. B., et al. (2019) · Brain Imaging and Behavior · doi:10.1007/s11682-019-00068-w · Cited by 45
Rapid amyloid‐β oligomer and protofibril accumulation in traumatic brain injury
Hamdeh, S. A., Waara, E. R., Möller, C., Söderberg, L., Basun, H., Alafuzoff, I. I., Hillered, L., Lannfelt, L., Ingelsson, M., & Marklund, N. (2017) · Brain Pathology · doi:10.1111/bpa.12532 · Cited by 44
Alterations in resting-state network dynamics along the Alzheimer’s disease continuum
Puttaert, D., Coquelet, N., Wens, V., Peigneux, P., Fery, P., Rovaï, A., Trotta, N., Sadeghi, N., Coolen, T., Bier, J. C., et al. (2020) · Scientific Reports · doi:10.1038/s41598-020-76201-3 · Cited by 44
Targeted genetic analysis of cerebral blood flow imaging phenotypes implicates the INPP5D gene
Yao, X., Risacher, S. L., Nho, K., Saykin, A. J., Wang, Z., & Shen, L. (2019) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2019.06.003 · Cited by 40
Patterns of Regional Cerebral Blood Flow as a Function of Obesity in Adults
Amen, D., Wu, J. C., George, N., & Newberg, A. B. (2020) · Journal of Alzheimer s Disease · doi:10.3233/jad-200655 · Cited by 40
The vascular contribution of apolipoprotein E to Alzheimer’s disease
Chen, F., Zhao, J., Meng, F., He, F., Ni, J., & Fu, Y. (2024) · Brain · doi:10.1093/brain/awae156 · Cited by 39
Regional association of pCASL-MRI with FDG-PET and PiB-PET in people at risk for autosomal dominant Alzheimer's disease
Yan, L., Liu, C. Y., Wong, K. P., Huang, S., Mack, W. J., Jann, K., Coppola, G., Ringman, J. M., & Wang, D. J. J. (2017) · NeuroImage Clinical · doi:10.1016/j.nicl.2017.12.003 · Cited by 39
Dl-3-n-Butylphthalide Reduces Cognitive Impairment Induced by Chronic Cerebral Hypoperfusion Through GDNF/GFRα1/Ret Signaling Preventing Hippocampal Neuron Apoptosis
Li, W., Wei, D., Lin, J., Liang, J., Xie, X., Song, K., & Huang, L. (2019) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2019.00351 · Cited by 37
cAMP Compartmentalization in Cerebrovascular Endothelial Cells: New Therapeutic Opportunities in Alzheimer’s Disease
Viña, D., Seoane, N., Vasquez, E. C., & Campos‐Toimil, M. (2021) · Cells · doi:10.3390/cells10081951 · Cited by 39
Cerebral blood flow and cerebrovascular resistance across the adult lifespan: A multimodality approach
Tomoto, T., Lu, M., Khan, A., Liu, J., Pasha, E. P., Tarumi, T., & Zhang, R. (2023) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1177/0271678x231153741 · Cited by 41
Cerebrovascular Reactivity Impairment in Preclinical Alzheimer's Disease
Alwatban, M. R., Murman, D. L., & Bashford, G. R. (2019) · Journal of Neuroimaging · doi:10.1111/jon.12606 · Cited by 35
Subjective Cognitive Decline Modifies the Relationship Between Cerebral Blood Flow and Memory Function in Cognitively Normal Older Adults
Hays, C. C., Zlatar, Z. Z., Campbell, L., Meloy, M. J., & Wierenga, C. E. (2018) · Journal of the International Neuropsychological Society · doi:10.1017/s135561771700087x · Cited by 34
Self-citation
A novel therapeutic potential of cysteinyl leukotrienes and their receptors modulation in the neurological complications associated with Alzheimer's disease
Rahman, S. O., Singh, R. K., Hussain, S., Akhtar, M., & Najmi, A. K. (2018) · European Journal of Pharmacology · doi:10.1016/j.ejphar.2018.10.040 · Cited by 35
Regional Cerebral Blood Flow in the Posterior Cingulate and Precuneus and the Entorhinal Cortical Atrophy Score Differentiate Mild Cognitive Impairment and Dementia Due to Alzheimer Disease
Thomas, B., Sheelakumari, R., Kannath, S. K., Sarma, P. S., & Menon, R. N. (2019) · American Journal of Neuroradiology · doi:10.3174/ajnr.a6219 · Cited by 33
Recent advances in arterial spin labeling perfusion MRI in patients with vascular cognitive impairment
Huang, D., Guo, Y., Guan, X., Pan, L., Zhu, Z., Chen, Z., Dijkhuizen, R. M., Duering, M., Yu, F., Boltze, J., et al. (2022) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1177/0271678x221135353 · Cited by 36
Recent Trends in the Management of Alzheimer’s Disease: Current Therapeutic Options and Drug Repurposing Approaches
Singh, R. K. (2020) · Current Neuropharmacology · doi:10.2174/1570159x18666200128121920 · Cited by 32
Impaired perfusion and capillary dysfunction in prodromal Alzheimer's disease
Nielsen, R. B., Parbo, P., Ismail, R., Dalby, R. B., Tietze, A., Brændgaard, H., Gottrup, H., Brooks, D. J., Østergaard, L., & Eskildsen, S. F. (2020) · Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring · doi:10.1002/dad2.12032 · Cited by 33
Higher Brain Perfusion May Not Support Memory Functions in Cognitively Normal Carriers of the ApoE ε4 Allele Compared to Non-Carriers
Zlatar, Z. Z., Bischoff‐Grethe, A., Hays, C. C., Liu, T. T., Meloy, M. J., Rissman, R. A., Bondi, M. W., & Wierenga, C. E. (2016) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2016.00151 · Cited by 32
Self-citation
Robust, fully-automated assessment of cerebral perivascular spaces and white matter lesions: a multicentre MRI longitudinal study of their evolution and association with risk of dementia and accelerated brain atrophy
Barisano, G., Iv, M., Choupan, J., Gephart, M. H., Weiner, M. W., Aisen, P., Petersen, R. C., Jack, C. R., Jagust, W., Trojanowki, J. Q., et al. (2024) · EBioMedicine · doi:10.1016/j.ebiom.2024.105523 · Cited by 34
APOE modifies the interaction of entorhinal cerebral blood flow and cortical thickness on memory function in cognitively normal older adults
Hays, C. C., Zlatar, Z. Z., Meloy, M. J., Bondi, M. W., Gilbert, P. E., Liu, T. T., Helm, J. L., & Wierenga, C. E. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.116162 · Cited by 32
Self-citation
APOE genotype dependent molecular abnormalities in the cerebrovasculature of Alzheimer’s disease and age-matched non-demented brains
Ojo, J. O., Reed, J. M., Crynen, G. C., Vallabhaneni, P., Evans, J., Shackleton, B., Eisenbaum, M., Ringland, C., Edsell, A., MULLAN, M. J., et al. (2021) · Molecular Brain · doi:10.1186/s13041-021-00803-9 · Cited by 30
Retinal tissue hypoperfusion in patients with clinical Alzheimer’s disease
Gameiro, G. R., Jiang, H., Liu, Y., Deng, Y., Sun, X., Nascentes, B., Baumel, B. S., Rundek, T., & Wang, J. (2018) · Eye and Vision · doi:10.1186/s40662-018-0115-0 · Cited by 29
Potential Ocular Biomarkers for Early Detection of Alzheimer’s Disease and Their Roles in Artificial Intelligence Studies
Chaitanuwong, P., Singhanetr, P., Chainakul, M., Arjkongharn, N., Ruamviboonsuk, P., & Grzybowski, A. E. (2023) · Neurology and Therapy · doi:10.1007/s40120-023-00526-0 · Cited by 28
Advances in neurocognitive rehabilitation research from 1992 to 2017: The ascension of neural plasticity.
Crosson, B., Hampstead, B. M., Krishnamurthy, L. C., Krishnamurthy, V., McGregor, K., Nocera, J. R., Roberts, S. R., Rodriguez, A. D., & Tran, S. M. (2017) · Neuropsychology · doi:10.1037/neu0000396 · Cited by 32
The Hippocampal Neuro-Glio-Vascular Network: Metabolic Vulnerability and Potential Neurogenic Regeneration in Disease
Kirschen, G. W., Kéry, R., & Ge, S. (2017) · Brain Plasticity · doi:10.3233/bpl-170055 · Cited by 28
Peripapillary Retinal Nerve Fiber Layer Thickness in Patients with Alzheimer’s Disease: A Comparison of Eyes of Patients with Alzheimer’s Disease, Primary Open-Angle Glaucoma, and Preperimetric Glaucoma and Healthy Controls
Zabel, P., Kałuzny, J. J., Wiłkość-Dębczyńska, M., Gębska‐Tołoczko, M., Suwała, K., Kucharski, R., & Araszkiewicz, A. S. (2019) · Medical Science Monitor · doi:10.12659/msm.914889 · Cited by 27
Circulating Angiotensin-(1–7) Is Reduced in Alzheimer’s Disease Patients and Correlates With White Matter Abnormalities: Results From a Pilot Study
Ribeiro, V. T., Cordeiro, T. M. E., Filha, R. D. S., Perez, L. G., Caramelli, P., Teixeira, A. L., de Souza, L. C., & Silva, A. C. S. E. (2021) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.636754 · Cited by 27
Regional hyperperfusion in cognitively normal APOE ε4 allele carriers in mid-life: analysis of ASL pilot data from the PREVENT-Dementia cohort
McKiernan, E. F., Mak, E., Dounavi, M., Wells, K., Ritchie, C. W., Williams, G. B., Su, L., & O'Brien, J. T. (2020) · Journal of Neurology Neurosurgery & Psychiatry · doi:10.1136/jnnp-2020-322924 · Cited by 26
Deciphering Alzheimer’s Disease Pathogenic Pathway: Role of Chronic Brain Hypoperfusion on p-Tau and mTOR
de la Torre, J. C. (2021) · Journal of Alzheimer s Disease · doi:10.3233/jad-201165 · Cited by 28
Dynamic cerebral autoregulation in Alzheimer’s disease and mild cognitive impairment: A systematic review
Heutz, R. A. M., Claassen, J. A. H. R., Feiner, S., Davies, A., Gurung, D., Panerai, R. B., de Heus, R. A. A., & Beishon, L. (2023) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1177/0271678x231173449 · Cited by 26
Imaging Biomarkers in Alzheimer’s Disease: A Practical Guide for Clinicians
Sheikh‐Bahaei, N., Sajjadi, S. A., Manavaki, R., & Gillard, J. H. (2017) · Journal of Alzheimer s Disease Reports · doi:10.3233/adr-170013 · Cited by 29
[15O]H2O PET: Potential or Essential for Molecular Imaging?
Slart, R. H. J. A., Martínez-Lucio, T. S., Boersma, H. H., Borra, R., Cornelissen, B. T., Dierckx, R., Dobrolińska, M. M., Doorduin, J., Erba, P. A., Glaudemans, A. W. J. M., et al. (2023) · Seminars in Nuclear Medicine · doi:10.1053/j.semnuclmed.2023.08.002 · Cited by 24
Slowed Temporal and Parietal Cerebrovascular Response in Patients with Alzheimer’s Disease
Holmes, K. R., Tang‐Wai, D. F., Sam, K., McKetton, L., Poublanc, J., Crawley, A. P., Sobczyk, O., Cohn, M., Duffin, J., Tartaglia, M. C., et al. (2020) · Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques · doi:10.1017/cjn.2020.30 · Cited by 26
Quantitative Hemodynamic Measurements in Cortical Vessels Using Functional Ultrasound Imaging
Brunner, C., Macé, É., Montaldo, G., & Urban, A. (2022) · Frontiers in Neuroscience · doi:10.3389/fnins.2022.831650 · Cited by 23
Neuroimaging in Dementia
Risacher, S. L., & Apostolova, L. G. (2023) · CONTINUUM Lifelong Learning in Neurology · doi:10.1212/con.0000000000001248 · Cited by 25
Associations of increased interstitial fluid with vascular and neurodegenerative abnormalities in a memory clinic sample
van der Thiel, M. M., Freeze, W. M., Verheggen, I. C. M., Wong, S. M., de Jong, J. J. A., Postma, A. A., Hoff, E. I., Gronenschild, E. H. B. M., Verhey, F. R. J., Jacobs, H. I. L., et al. (2021) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2021.06.017 · Cited by 23
The assessment of neurovascular coupling with the Addenbrooke’s Cognitive Examination: a functional transcranial Doppler ultrasonographic study
Beishon, L., Williams, C. A. L., Panerai, R. B., Robinson, T. G., & Haunton, V. J. (2017) · Journal of Neurophysiology · doi:10.1152/jn.00698.2017 · Cited by 24
Can mild cognitive impairment be stabilized by showering brain mitochondria with laser photons?
de la Torre, J. C., del Olmo, A., & Vallés, S. L. (2019) · Neuropharmacology · doi:10.1016/j.neuropharm.2019.107841 · Cited by 27
Regional uptakes from early-frame amyloid PET and 18F-FDG PET scans are comparable independent of disease state
Myoraku, A., Klein, G., Landau, S., Tosun, D., & Initiative, A. D. N. (2022) · European Journal of Hybrid Imaging · doi:10.1186/s41824-021-00123-0 · Cited by 26
Neurovascular coupling response to cognitive examination in healthy controls: a multivariate analysis
Beishon, L., Williams, C. A. L., Robinson, T. G., Haunton, V. J., & Panerai, R. B. (2018) · Physiological Reports · doi:10.14814/phy2.13803 · Cited by 22
Relationship between Cerebral Perfusion on Arterial Spin Labeling (ASL) MRI with Brain Volumetry and Cognitive Performance in Mild Cognitive Impairment and Dementia due to Alzheimer's Disease
Soman, S. M., Raghavan, S., Rajesh, P., Varma, R. P., Mohanan, N., Ramachandran, S. S., Thomas, B., Kesavadas, C., & Menon, R. N. (2021) · Annals of Indian Academy of Neurology · doi:10.4103/aian.aian_848_20 · Cited by 22
A cross-sectional study of retinal vessel changes based on optical coherence tomography angiography in Alzheimer’s disease and mild cognitive impairment
Ma, X., Xie, Z., Wang, H., Tian, Z., Bi, Y., Li, Y., & Zhang, L. (2023) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2023.1101950 · Cited by 25
The Role and Therapeutic Implications of Inflammation in the Pathogenesis of Brain Arteriovenous Malformations
Ricciardelli, A., Robledo, A., Fish, J. E., Kan, P. T. M., Harris, T. H., & Wythe, J. D. (2023) · Biomedicines · doi:10.3390/biomedicines11112876 · Cited by 24
Microstructural and Cerebral Blood Flow Abnormalities in Subjective Cognitive Decline Plus: Diffusional Kurtosis Imaging and Three-Dimensional Arterial Spin Labeling Study
Yang, Z., Yu, R., Cao, Z., Wu, Y., Zhao, X., Xie, Q., Luo, M., & Liu, Y. (2021) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2021.625843 · Cited by 21
Molecular Pathobiology of the Cerebrovasculature in Aging and in Alzheimers Disease Cases With Cerebral Amyloid Angiopathy
Ojo, J. O., Reed, J. M., Crynen, G. C., Vallabhaneni, P., Evans, J., Shackleton, B., Eisenbaum, M., Ringland, C., Edsell, A., MULLAN, M. J., et al. (2021) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2021.658605 · Cited by 22
Cerebral blood flow, amyloid burden, and cognition in cognitively normal individuals
Ebenau, J. L., Visser, D., Verfaillie, S. C. J., Timmers, T., van Leeuwenstijn, M. S. S. A., ten Kate, M., Windhorst, A. D., Barkhof, F., Scheltens, P., Prins, N. D., et al. (2022) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-022-05958-8 · Cited by 23
Hypoperfusion is a potential inducer of immunosuppressive network in Alzheimer's disease
Salminen, A. (2020) · Neurochemistry International · doi:10.1016/j.neuint.2020.104919 · Cited by 20
Tension at the gate: sensing mechanical forces at the blood–brain barrier in health and disease
Hansen, C. E., Hollaus, D., Kamermans, A., & de Vries, H. E. (2024) · Journal of Neuroinflammation · doi:10.1186/s12974-024-03321-2 · Cited by 21

Authors: Hays, C. C., Zlatar, Z. Z., & Wierenga, C. E.
Affiliations: San Diego State University (US)
University of California San Diego (US)
Corresponding author: Wierenga, Christina E.
ORCID: Hays, Chelsea C.
Zlatar, Zvinka Z.
Wierenga, Christina E.
Venue: Cellular and Molecular Neurobiology
Publisher: Springer Science and Business Media LLC
Published: 2016-02-22
Volume: 36
Issue: 2
Pages: 167-179
ISSN: 0272-4340 (ISSN-L)
1573-6830
DOI: 10.1007/s10571-015-0261-z
PMC: PMC5278904
OpenAlex: W2283957277
Cited by: 213
References: 122
Citations by year: 2026: 8 · 2025: 18 · 2024: 18 · 2023: 24 · 2022: 25 · 2021: 27 · 2020: 19 · 2019: 25 · 2018: 24 · 2017: 19 · 2016: 5
Type: book review
Language: en
Open access: green
www.ncbi.nlm.nih.gov
Licence: www.springer.com/tdm (tdm)
Locations: Cellular and Molecular Neurobiology (publishedVersion)
PubMed Central (publishedVersion)
PubMed (publishedVersion)
Funders: VA CSR&D Merit Award (5I01CX000565)
National Institutes of Health T32 (MH019934)
National Science Foundation Graduate Research Fellowship Program (2015207525)
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 › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
Keywords: cerebral blood flow, preclinical Alzheimer's disease, arterial spin labeling, cerebral perfusion, biomarkers, normal aging, mild cognitive impairment, cognitive decline prediction, disease progression
MeSH terms: Aging, Alzheimer Disease, Cerebrovascular Circulation, Humans, Risk Factors, Biomarkers, Genetic Predisposition to Disease

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

The Utility of Cerebral Blood Flow as a Biomarker of Preclinical Alzheimer’s Disease

Abstract

Overview

Integrity signals

Verification

Claims the paper makes

Self-check

Citations

Cites

Cited by

Related

Metadata

Record

About these checks