ArticleNeuroImage2010
Joint analysis of structural and perfusion MRI for cognitive assessment and classification of Alzheimer's disease and normal aging.
Article in NeuroImage, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
25 citing papers in PubMed, 42 citations in OpenAlex.
- Variations in perfusion detectable in advance of microstructure in white matter aging.GeroScience · 2026Article
- Arterial spin labeling perfusion MRI in the Alzheimer's Disease Neuroimaging Initiative: Past, present, and future.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024Review
- Comparing single- and multi-post labeling delays for the measurements of resting cerebral and hippocampal blood flow for cerebrovascular testing in midlife adults.Frontiers in physiology · 2024Article
- The Utility of Arterial Spin Labeling MRI in Medial Temporal Lobe as a Vascular Biomarker in Alzheimer's Disease Spectrum: A Systematic Review and Meta-Analysis.Diagnostics (Basel, Switzerland) · 2022Review
- Dependency criterion based brain pathological age estimation of Alzheimer's disease patients with MR scans.Biomedical engineering online · 2017Article
- Altered cerebral hemodyamics and cortical thinning in asymptomatic carotid artery stenosis.PloS one · 2017Article
- Diagnostic utility of ASL-MRI and FDG-PET in the behavioral variant of FTD and AD.Annals of clinical and translational neurology · 2016Article
- Association of Insulin Resistance With Cerebral Glucose Uptake in Late Middle-Aged Adults at Risk for Alzheimer Disease.JAMA neurology · 2015Article
- Caveat of measuring perfusion indexes using intravoxel incoherent motion magnetic resonance imaging in the human brain.European radiology · 2015Article
- Comparison of Regional Brain Perfusion Levels in Chronically Smoking and Non-Smoking Adults.International journal of environmental research and public health · 2015Article
- Magnetic resonance imaging in Alzheimer's Disease Neuroimaging Initiative 2.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2015Article
- Brain perfusion in polysubstance users: relationship to substance and tobacco use, cognition, and self-regulation.Drug and alcohol dependence · 2015Article
- Decomposing cerebral blood flow MRI into functional and structural components: a non-local approach based on prediction.NeuroImage · 2015Article
- Multimodal MRI-based Imputation of the Aβ+ in Early Mild Cognitive Impairment.Annals of clinical and translational neurology · 2014Article
- Neuroimaging characteristics of dementia with Lewy bodies.Alzheimer's research & therapy · 2014Review
- Low cerebral blood flow is associated with lower memory function in metabolic syndrome.Obesity (Silver Spring, Md.) · 2013 · on this mapArticle
- Article
- Combined analysis of sMRI and fMRI imaging data provides accurate disease markers for hearing impairment.NeuroImage. Clinical · 2013Article
- Identifying patients with poststroke mild cognitive impairment by pattern recognition of working memory load-related ERP.Computational and mathematical methods in medicine · 2013Article
- Alzheimer disease: new concepts on its neurobiology and the clinical role imaging will play.Radiology · 2012Review
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
Abstract
Structural magnetic resonance imaging (MRI) of brain tissue loss and physiological imaging of regional cerebral blood flow (rCBF) can provide complimentary information for the characterization of brain disorders, such as Alzheimer's disease (AD) but studies into gains in classification power for AD using these image modalities jointly have been limited. Our aim in this study was to determine the joint contribution of structural and perfusion-weighted imaging for the classification of AD in a cross-sectional study using an integrated multimodality MRI processing framework and a cortical surface-based analysis approach. We used logistic regression analysis to determine sequentially the value of cortical thickness, rCBF, and cortical thickness and rCBF jointly for classification for diagnosis of AD compared to controls. We further tested the extent to which cortical thinning and reduced rCBF explain individually or together variability in dementia severity. Separate analysis of structural MRI and perfusion-weighted MRI data yielded the well-established pattern of cortical thinning and rCBF reduction in AD, affecting predominantly temporo-parietal brain regions. Using structural MRI and perfusion-weighted MRI jointly indicated that cortical thinning dominated the classification of AD and controls without significant contributions from rCBF. However there was also a positive interaction between reduced rCBF and cortical thinning in the right superior temporal sulcus, implying that structural and physiological brain alterations in AD can be complementary. Compared to reduced rCBF, regional cortical thinning better explained the variability in dementia severity. In conclusion, structural brain alterations compared to physiological variations are the dominant features of MRI in AD.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.