ArticleFrontiers in psychiatry2021
White Matter Fractional Anisotropy Is a Superior Predictor for Cognitive Impairment Than Brain Volumes in Older Adults With Confluent White Matter Hyperintensities.
Article in Frontiers in psychiatry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed, 30 citations in OpenAlex.
- Multiomics Profiling Supports Cathepsin B as a Protective Factor in White Matter Hyperintensities and Cognition.Stroke · 2026Article
- Cognitive impairment and associated white matter organization abnormalities across the illness course of schizophrenia.European archives of psychiatry and clinical neuroscience · 2026Article
- Multiomics Profiling Supports Cathepsin B as a Protective Factor in Cerebral Small Vessel Disease.Research square · 2026Article
- White matter microstructure disruption associated with PET and cognitive impairment in Alzheimer's disease.PloS one · 2026Article
- Neuroimaging and Genetic Markers of Cerebral Small Vessel Disease and Cognitive Outcomes: A Systematic Review and Meta-Analysis (NEUROGEN-SVD Study).Diagnostics (Basel, Switzerland) · 2025Article
- Fractional Anisotropy Alterations in Key White Matter Pathways Associated with Cognitive Performance Assessed by MoCA.Neurology international · 2025Article
- The Role of Deep Cerebral Tracts in Predicting Postoperative Aphasia: An nTMS-Based Investigation of the Corticothalamic Fibers.Human brain mapping · 2025Article
- Harnessing the frontal aslant tract's structure to assess its involvement in cognitive functions: new insights from 7-T diffusion imaging.Scientific reports · 2024Article
- TractGeoNet: A geometric deep learning framework for pointwise analysis of tract microstructure to predict language assessment performance.Medical image analysis · 2024Article
- Gray and White Matter Metrics Demonstrate Distinct and Complementary Prediction of Differences in Cognitive Performance in Children: Findings from ABCD (The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024Article
- Association of Poor Oral Health With Neuroimaging Markers of White Matter Injury in Middle-Aged Participants in the UK Biobank.Neurology · 2024Article
- Whole Brain and Corpus Callosum Fractional Anisotropy Differences in Patients with Cognitive Impairment.Diagnostics (Basel, Switzerland) · 2023Article
- Grey and white matter metrics demonstrate distinct and complementary prediction of differences in cognitive performance in children: Findings from ABCD (N= 11 876).bioRxiv : the preprint server for biology · 2023Article
- Assessment of Risk Factors and Clinical Importance of Enlarged Perivascular Spaces by Whole-Brain Investigation in the Multi-Ethnic Study of Atherosclerosis.JAMA network open · 2023Article
- Placental MRI Predicts Fetal Oxygenation and Growth Rates in Sheep and Human Pregnancy.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2022Article
- Altered brain activity mediates the relationship between white matter hyperintensity severity and cognition in older adults.Brain imaging and behavior · 2022Article
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Older patients with confluent white matter hyperintensities (WMHs) on magnetic resonance imaging have an increased risk for the onset of vascular cognitive impairment (VCI). This study investigates the predictive effects of the white matter (WM) fractional anisotropy (FA) and brain volumes on cognitive impairment for those with confluent WMHs. This study enrolled 77 participants with confluent WMHs (Fazekas grade 2 or 3), including 44 with VCI-no dementia (VCIND) and 33 with normal cognition (NC). The mean FA of 20 WM tracts was calculated to evaluate the global WM microstructural integrity, and major WM tracts were reconstructed using probabilistic tractography. Voxel-based morphometry was used to calculate brain volumes for the total gray matter (GM), the hippocampus, and the nucleus basalis of Meynert (NbM). All volumetric assays were corrected for total intracranial volume. All regression analyses were adjusted for age, gender, education, and apolipoprotein E (ApoE) gene ε4 status. Logistic regression analysis revealed that the mean FA value for global WM was the only independent risk factor for VCI (z score of FA: OR = 4.649, 95%CI 1.576-13.712,
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