ArticleNeuroImage. Clinical2020
In vivo microstructural heterogeneity of white matter lesions in healthy elderly and Alzheimer's disease participants using tissue compositional analysis of diffusion MRI data.
Article in NeuroImage. Clinical, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
21 citing papers in PubMed, 39 citations in OpenAlex.
- Influence of airway pressure and fibrosis on lung surface shear wave elastography.Journal of medical ultrasonics (2001) · 2026Article
- Brain volume trajectories in young children are associated with polygenic scores for late-onset Alzheimer's disease risk.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Article
- Voxelwise correlation of neighbors as a hypothesis driven framework for characterizing white matter lesion heterogeneity.Scientific reports · 2026Article
- Sleep spindles are linked to white matter connectivity differentially in older adults with and without cognitive impairment.Brain communications · 2026Article
- Diffusion MRI Microstructure Markers of Changes in the Human Brain Across the Lifespan Using Constrained Spherical Deconvolution and Fixel-Based Techniques.Human brain mapping · 2025Article
- Epigenetic age acceleration predicts subject-specific white matter degeneration in the human brain.Aging cell · 2025Article
- Widespread associations between behavioral metrics and brain microstructure in ASD suggest age mediates subtypes of ASD.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- White matter hyperintensity patterns: associations with comorbidities, amyloid, and cognition.Alzheimer's research & therapy · 2024Article
- In vivo microstructural heterogeneity of white matter and cognitive correlates in aging using tissue compositional analysis of diffusion magnetic resonance imaging.Human brain mapping · 2024Article
- Conduction Velocity, G-ratio, and Extracellular Water as Microstructural Characteristics of Autism Spectrum Disorder.bioRxiv : the preprint server for biology · 2024Article
- Conduction velocity, G-ratio, and extracellular water as microstructural characteristics of autism spectrum disorder.PloS one · 2024Article
- Trajectories of brain volumes in young children are associated with maternal education.Human brain mapping · 2023Article
- Diffusion MRI approaches for investigating microstructural complexity in a rat model of traumatic brain injury.Scientific reports · 2023Article
- Multishell Diffusion MR Tractography Yields Morphological and Microstructural Information of the Anterior Optic Pathway: A Proof-of-Concept Study in Patients with Leber's Hereditary Optic Neuropathy.International journal of environmental research and public health · 2022Article
- Investigating Tissue-Specific Abnormalities in Alzheimer's Disease with Multi-Shell Diffusion MRI.Journal of Alzheimer's disease : JAD · 2022Article
- Increased extracellular fluid is associated with white matter fiber degeneration in CADASIL: in vivo evidence from diffusion magnetic resonance imaging.Fluids and barriers of the CNS · 2021Article
- Cerebrospinal Fluid Biomarkers, Brain Structural and Cognitive Performances Between Normotensive and Hypertensive Controlled, Uncontrolled and Untreated 70-Year-Old Adults.Frontiers in aging neuroscience · 2021Article
- Microstructural Tissue Changes in a Rat Model of Mild Traumatic Brain Injury.Frontiers in neuroscience · 2021Article
- Influence of MRI on Diagnostic Efficacy and Satisfaction of Patients with Alzheimer's Disease.Computational and mathematical methods in medicine · 2021Article
- Test-retest reliability and long-term stability of three-tissue constrained spherical deconvolution methods for analyzing diffusion MRI data.Magnetic resonance in medicine · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
White matter hyperintensities (WMH) are regions of high signal intensity typically identified on fluid attenuated inversion recovery (FLAIR). Although commonly observed in elderly individuals, they are more prevalent in Alzheimer's disease (AD) patients. Given that WMH appear relatively homogeneous on FLAIR, they are commonly partitioned into location- or distance-based classes when investigating their relevance to disease. Since pathology indicates that such lesions are often heterogeneous, probing their microstructure in vivo may provide greater insight than relying on such arbitrary classification schemes. In this study, we investigated WMH in vivo using an advanced diffusion MRI method known as single-shell 3-tissue constrained spherical deconvolution (SS3T-CSD), which models white matter microstructure while accounting for grey matter and CSF compartments. Diffusion MRI data and FLAIR images were obtained from AD (n = 48) and healthy elderly control (n = 94) subjects. WMH were automatically segmented, and classified: (1) as either periventricular or deep; or (2) into three distance-based contours from the ventricles. The 3-tissue profile of WMH enabled their characterisation in terms of white matter-, grey matter-, and fluid-like characteristics of the diffusion signal. Our SS3T-CSD findings revealed substantial heterogeneity in the 3-tissue profile of WMH, both within lesions and across the various classes. Moreover, this heterogeneity information indicated that the use of different commonly used WMH classification schemes can result in different disease-based conclusions. We conclude that future studies of WMH in AD would benefit from inclusion of microstructural information when characterising lesions, which we demonstrate can be performed in vivo using SS3T-CSD.
Indexed as
Identifiers
What OpenQuestion holds
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.