The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Cerebral blood flow measured by arterial spin labeling MRI at resting state in normal aging and Alzheimer’s disease
Open accessAbstract
Arterial spin labeling (ASL) magnetic resonance imaging uses arterial blood water as an endogenous tracer to measure cerebral blood flow (CBF). In this review, based on ASL studies in the resting state, we discuss state-of-the-art technical and data processing improvements in ASL, and ASL CBF changes in normal aging, mild cognitive impairment (MCI), Alzheimer's disease (AD), and other types of dementia. We propose that vascular and AD risk factors should be considered when evaluating CBF changes in aging, and that other validated biomarkers should be used as inclusion criteria or covariates when evaluating CBF changes in MCI and AD. With improvements in hardware and experimental design, ASL is proving to be an increasingly promising tool for exploring pathogenetic mechanisms, early detection, monitoring disease progression and pharmacological response, and differential diagnosis of AD.
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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
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
The Science of Stroke: Mechanisms in Search of Treatments
Moskowitz, M. A., Lo, E. H., & Iadecola, C. (2010) · Neuron · doi:10.1016/j.neuron.2010.07.002 · Cited by 1,930
Cerebral hypoperfusion and clinical onset of dementia: the Rotterdam Study
Ruitenberg, A., den Heijer, T., Bakker, S. L. M., van Swieten, J. C., Koudstaal, P. J., Hofman, A., & Breteler, M. M. B. (2005) · Annals of Neurology · doi:10.1002/ana.20493 · Cited by 733
Comparing predictors of conversion and decline in mild cognitive impairment
Landau, S. M., Harvey, D., Madison, C. M., Reiman, E. M., Foster, N. L., Aisen, P. S., Petersen, R. C., Shaw, L. M., Trojanowski, J. Q., Jack, C. R., et al. (2010) · Neurology · doi:10.1212/wnl.0b013e3181e8e8b8 · Cited by 616
Park, L., Anrather, J., Zhou, P., Frys, K., Pitstick, R., Younkin, S., Carlson, G. A., & Iadecola, C. (2005) · The Journal of Neuroscience · doi:10.1523/jneurosci.5207-04.2005 · Cited by 244
Asllani, I., Habeck, C., Scarmeas, N., Borogovac, A., Brown, T. R., & Stern, Y. (2008) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1038/sj.jcbfm.9600570 · Cited by 172
Low cerebral blood flow is associated with lower memory function in metabolic syndrome
Birdsill, A. C., Carlsson, C. M., Willette, A. A., Okonkwo, O. C., Johnson, S. C., Xu, G., Oh, J. M., Gallagher, C. L., Koscik, R. L., Jonaitis, E. M., et al. (2013) · Obesity · doi:10.1002/oby.20170 · Cited by 139
Cited by
Harms, M. P., Somerville, L. H., Ances, B. M., Andersson, J., Barch, D. M., Bastiani, M., Bookheimer, S. Y., Brown, T. B., Buckner, R. L., Burgess, G. C., et al. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.09.060 · Cited by 584
Renke, M. B., Marcinkowska, A. B., Kujach, S., & Winklewski, P. J. (2022) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2022.803332 · Cited by 50
Adewale, Q., Khan, A. F., Carbonell, F., Iturria-Medina, Y., & Initiative, A. D. N. (2021) · eLife · doi:10.7554/elife.62589 · Cited by 44
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
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
Metadata
- Authors
- Zhang, N., Gordon, M. L., & Goldberg, T. E.
- Venue
- Neuroscience & Biobehavioral Reviews
- Publisher
- Elsevier BV
- Published
- 2017-01
- Volume
- 72
- Pages
- 168-175
- ISSN
- 0149-7634 (ISSN-L)
- OpenAlex
- W2557712647
- Cited by
- 182
- References
- 8
- FWCI
- 11.30
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Zhang, N., Gordon, M. L., & Goldberg, T. E. (2017). Cerebral blood flow measured by arterial spin labeling MRI at resting state in normal aging and Alzheimer’s disease. Neuroscience & Biobehavioral Reviews. https://doi.org/10.1016/j.neubiorev.2016.11.023
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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