ArticleBrain imaging and behavior2022
Intravoxel incoherent motion diffusion-weighted imaging in the characterization of Alzheimer's disease.
Article in Brain imaging and behavior, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
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Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.
- Disruptive resting state networks characterizing depressive comorbidity in Alzheimer's disease and mild cognitive impairment.Journal of Alzheimer's disease : JAD · 2025Pooled it
- High-Resolution IVIM MRI Characterizes Diffusion-Perfusion Properties of the Parasagittal Dura.NMR in biomedicine · 2026Article
- Exploring the Mechanism of Postpartum Cognitive Dysfunction in a Preeclampsia Rat Model via Multimodal Imaging.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026Article
- Intracellular fluid accumulation underlies brain volume increases in early Alzheimer's disease.Brain communications · 2026Article
- Assessment of Intravoxel Incoherent Motion Diffusion-Weighted Imaging in Insomnia.Brain and behavior · 2025Article
- Altered resting-state functional connectivity and dynamic network properties in cognitive impairment: an independent component and dominant-coactivation pattern analyses study.Frontiers in aging neuroscience · 2024Article
Corrections and comments
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
Abstract
objectivesAlzheimer's disease (AD) is the most common type of dementia, and characterizing brain changes in AD is important for clinical diagnosis and prognosis. This study was designed to evaluate the classification performance of intravoxel incoherent motion (IVIM) diffusion-weighted imaging in differentiating between AD patients and normal control (NC) subjects and to explore its potential effectiveness as a neuroimaging biomarker.
methodsThirty-one patients with probable AD and twenty NC subjects were included in the prospective study. IVIM data were subjected to postprocessing, and parameters including the apparent diffusion coefficient (ADC), slow diffusion coefficient (D
resultsDiffusion MRI revealed significant region-specific differences that aided in differentiating AD patients from controls. Among the analyzed regions and parameters, the D
conclusionIVIM imaging is a promising method for the classification of AD and NC subjects, and IVIM parameters of precuneus and cerebellum might be effective biomarker for the diagnosis of AD.
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