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Multivariate and Univariate Analysis of Continuous Arterial Spin Labeling Perfusion MRI in Alzheimer's Disease
Open accessAbstract
Continuous arterial spin labeling (CASL) magnetic resonance imaging (MRI) was combined with multivariate analysis for detection of an Alzheimer's disease (AD)-related cerebral blood flow (CBF) covariance pattern. Whole-brain resting CBF maps were obtained using spin echo, echo planar imaging (SE-EPI) CASL in patients with mild AD ( n=12, age=70.7±8.7 years, 7 males, modified Mini-Mental State Examination (mMMS)=38.7/57±11.1) and age-matched healthy controls (HC) ( n=20; age=72.1±6.5 years, 8 males). A covariance pattern for which the mean expression was significantly higher ( P<0.0005) in AD than in HC was identified containing posterior cingulate, superior temporal, parahippocampal, and fusiform gyri, as well as thalamus, insula, and hippocampus. The results from this analysis were supplemented with those from the more standard, region of interest (ROI) and voxelwise, univariate techniques. All ROIs (17/hemisphere) showed significant decrease in CBF in AD ( P<0.001 for all ROIs, α corrected =0.05). The area under the ROC curve for discriminating AD versus HC was 0.97 and 0.94 for covariance pattern and gray matter ROI, respectively. Fewer areas of depressed CBF in AD were detected using voxelwise analysis (corrected, P<0.05). These areas were superior temporal, cingulate, middle temporal, fusiform gyri, as well as inferior parietal lobule and precuneus. When tested on extensive split-half analysis to map out the replicability of both multivariate and univariate approaches, the expression of the pattern from multivariate analysis was superior to that of the univariate.
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“Cerebral blood flow in the grey matter can be reduced by over 40% (3)”
From Amyloid β oligomers constrict human capillaries in Alzheimer's disease via signaling to pericytes (2019) · cites this paper as [3]
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Metadata
- Authors
- Asllani, I., Habeck, C., Scarmeas, N., Borogovac, A., Brown, T. R., & Stern, Y.
- Affiliations
- Columbia University (US)
- Corresponding author
- Asllani, Iris
- Venue
- Journal of Cerebral Blood Flow & Metabolism
- Publisher
- SAGE Publications
- Published
- 2007-10-24
- Volume
- 28
- Issue
- 4
- Pages
- 725-736
- ISSN
- 0271-678X (ISSN-L)
- 1559-7016
- PMC
- PMC2711077
- OpenAlex
- W2104289741
- Cited by
- 172
- References
- 37
- Citations by year
- 2026: 4 · 2025: 12 · 2024: 11 · 2023: 11 · 2022: 9 · 2021: 9 · 2020: 14 · 2019: 11 · 2018: 7 · 2017: 11 · 2016: 7 · 2015: 10 · 2014: 7 · 2013: 9 · 2012: 7
- FWCI
- 4.43
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Journal of Cerebral Blood Flow & Metabolism (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Columbia Academic Commons (Columbia University)
- Funders
- National Institute on Aging (R01AG026158, R01-AG26158)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Keywords
- Alzheimer's disease, continuous arterial spin labeling, cerebral blood flow, multivariate pattern classification, voxelwise analysis, region of interest analysis, posterior cingulate cortex, superior temporal gyrus, hippocampus, thalamus, disease detection, diagnostic accuracy
- MeSH terms
- Aged, Alzheimer Disease, Brain, Brain Mapping, Cerebrovascular Circulation, Electron Spin Resonance Spectroscopy, Female, Humans, Image Processing, Computer-Assisted, Male, Sensitivity and Specificity, Spin Labels, Multivariate Analysis, Magnetic Resonance Angiography
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