The DOI matches its Crossref record; 52 of the 52 references it cites were found in a registry or an index.
Mild Cognitive Impairment and Alzheimer Disease: Patterns of Altered Cerebral Blood Flow at MR Imaging
Open accessAbstract
PURPOSE: To examine regional cerebral blood flow (rCBF) in incident mild cognitive impairment (MCI) and Alzheimer disease (AD) by using continuous arterial spin-labeling (CASL) magnetic resonance (MR) imaging. MATERIALS AND METHODS: This study was approved by the local institutional review board and was compliant with HIPAA regulations. Informed consent was obtained. rCBF was measured in 38 control subjects, 29 MCI patients, and 37 AD patients who were participating in a longitudinal epidemiologic study. Multisection CASL MR imaging with alternating single and double adiabatic inversion pulses and ramp-sampled echo-planar imaging were performed to acquire 19 contiguous axial sections. Voxel-level rCBF was compared among groups by using an analysis of variance design; clusters of voxels with significant group differences were identified. Multiple regression models controlled for age, sex, and presence of hypertension and related the mean rCBF in those clusters to the presence of MCI and AD. RESULTS: MCI and AD patients had decreased rCBF in the posterior cingulate gyrus (P = .01) with extension to the medial precuneus compared with that in control subjects. MCI patients had increased rCBF in the left hippocampus (P < .001), right amygdala (P = .007), and rostral head of the right caudate nucleus and ventral putamen and globus pallidus (P = .003) compared with that in control subjects. AD patients had decreased rCBF relative to that in control subjects and MCI patients in the left inferior parietal (P = .005), left lateral frontal (P < .001), left superior temporal (P = .001), and left orbitofrontal (P = .003) cortices. AD patients had increased rCBF in the right anterior cingulate gyrus (P = .02) compared with that in control subjects. CONCLUSION: The transition from normal cognition to AD is associated with dynamic pathologic processes in the brain, and this is reflected by both decreases and increases in rCBF. Increases in rCBF suggest a cellular and vascular compensatory process associated with incipient AD. SUPPLEMENTAL MATERIAL: http://radiology.rsnajnls.org/cgi/content/full/2503080751/DC1.
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McKhann, G., Drachman, D., Folstein, M., Katzman, R., Price, D., & Stadlan, E. M. (1984) · Neurology · doi:10.1212/wnl.34.7.939 · Cited by 27,915
(1987) · PubMed · Cited by 2,657
Frontal-subcortical circuits and human behavior
Cummings, J. L. (1993) · Archives of Neurology · doi:10.1001/archneur.1993.00540080076020 · Cited by 2,262
Metabolic reduction in the posterior cingulate cortex in very early Alzheimer's disease
Minoshima, S., Giordani, B., Berent, S., Frey, K. A., Foster, N. L., & Kuhl, D. E. (1997) · Annals of Neurology · doi:10.1002/ana.410420114 · Cited by 1,802
Prediction of AD with MRI-based hippocampal volume in mild cognitive impairment
Jack, C. R., Petersen, R. C., Xu, Y. C., O’Brien, P. C., Smith, G. E., Ivnik, R. J., Boeve, B. F., Waring, S. C., Tangalos, E. G., & Kokmen, E. (1999) · Neurology · doi:10.1212/wnl.52.7.1397 · Cited by 1,404
Modeling the hemodynamic response to brain activation
Buxton, R. B., Uludağ, K., Dubowitz, D. J., & Liu, T. T. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.07.013 · Cited by 1,229
Detecting activations in PET and fMRI: levels of inference and power
Friston, K. J., Holmes, A., Poline, J.-B., Price, C. J., & Frith, C. D. (1996) · NeuroImage · doi:10.1006/nimg.1996.0074 · Cited by 1,148 · cited 1×
“The correction took into account the voxel-level threshold and the size and shape of the cluster (39).”
Method[ 11 C]PIB in a nondemented population: Potential antecedent marker of Alzheimer disease
Mintun, M. A., LaRossa, G. N., Sheline, Y. I., Dence, C. S., Lee, S. Y., Mach, R. H., Klunk, W. E., Mathis, C. A., DeKosky, S. T., & Morris, J. C. (2006) · Neurology · doi:10.1212/01.wnl.0000228230.26044.a4 · Cited by 1,036
Pearson, R. C., Esiri, M. M., Hiorns, R. W., Wilcock, G. K., & Powell, T. P. (1985) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.82.13.4531 · Cited by 987
Increased hippocampal activation in mild cognitive impairment compared to normal aging and AD
Dickerson, B. C., Salat, D. H., Greve, D. N., Chua, E. F., Rand-Giovannetti, E., Rentz, D. M., Bertram, L., Mullin, K., Tanzi, R. E., Blacker, D., et al. (2005) · Neurology · doi:10.1212/01.wnl.0000171450.97464.49 · Cited by 910
Cited by
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
Hierarchical Feature Representation and Multimodal Fusion with Deep Learning for AD/MCI Diagnosis
Suk, H.-I., Lee, S.-W., & Shen, D. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.06.077 · Cited by 968
“…2002; Walhovd et al., 2010), superior/medial frontal gyrus (Johnson et al., 2005), precentral/postcentral gyrus (Belleville et al., 2011), precuneus (Bokde et al., 2006; Davatzikos et al., 2011; Singh et al., 2006), thalamus, putamen (de Jong et al., 2008), caudate nucleus (Dai et al., 2009), etc.”
Vascular dysfunction—The disregarded partner of Alzheimer's disease
Sweeney, M. D., Montagne, A., Sagare, A. P., Nation, D. A., Schneider, L. S., Chui, H. C., Harrington, M. G., Pa, J., Law, M., Wang, D. J. J., et al. (2019) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2018.07.222 · Cited by 711
Functional connectivity mapping of the human precuneus by resting state fMRI
Zhang, S., & Li, C.-S. R. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.11.023 · Cited by 559
Latent feature representation with stacked auto-encoder for AD/MCI diagnosis
Initiative, T. A. D. N., Suk, H.-I., Lee, S.-W., & Shen, D. (2015) · Brain Structure and Function · doi:10.1007/s00429-013-0687-3 · Cited by 526
Metadata
- Authors
- Dai, W., Lopez, O. L., Carmichael, O. T., Becker, J. T., Kuller, L. H., & Gach, H. M.
- Venue
- Radiology
- Published
- 2009-03
- Volume
- 250
- Issue
- 3
- Pages
- 856-866
- ISSN
- 0033-8419 (ISSN-L)
- 1527-1315
- OpenAlex
- W1994839798
- Cited by
- 398
- References
- 52
- FWCI
- 13.29
- Type
- journal article
- Language
- en
- Open access
- green
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- Dai, W., Lopez, O. L., Carmichael, O. T., Becker, J. T., Kuller, L. H., & Gach, H. M. (2009). Mild Cognitive Impairment and Alzheimer Disease: Patterns of Altered Cerebral Blood Flow at MR Imaging. Radiology. https://doi.org/10.1148/radiol.2503080751
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