ArticleHuman brain mapping2023
Young versus older subject diffusion magnetic resonance imaging data for virtual white matter lesion tractography.
Article in Human brain mapping, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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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
7 citing papers in PubMed, 8 citations in OpenAlex.
- Uncovering distinct spatiotemporal trajectories of T-N mismatch subtypes with likely co-pathology in Alzheimer's disease using event-based modeling.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Article
- Sub-Networks of the Brain RHuman brain mapping · 2026Article
- Long-Term Post-Stroke Cognition in Patients With Minor Ischemic Stroke is Related to Tract-Based Disconnection Induced by White Matter Hyperintensities.Human brain mapping · 2025Article
- Regional cerebral blood flow reflects both neurodegeneration and microvascular integrity across the Alzheimer's continuum.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Article
- Impact of white matter hyperintensities on structural connectivity and cognition in cognitively intact ADNI participants.Neurobiology of aging · 2024Article
- Young versus older subject diffusion magnetic resonance imaging data for virtual white matter lesion tractography.Human brain mapping · 2023Article
- Disconnectome associated with progressive white matter hyperintensities in aging: a virtual lesion study.Frontiers in aging neuroscience · 2023Article
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Authors and funding
13 authors at 2 institutions in 1 country.
Funding
Abstract
White matter hyperintensity (WMH) lesions on T2 fluid-attenuated inversion recovery (FLAIR) magnetic resonance imaging (MRI) and changes in adjacent normal-appearing white matter can disrupt computerized tract reconstruction and result in inaccurate measures of structural brain connectivity. The virtual lesion approach provides an alternative strategy for estimating structural connectivity changes due to WMH. To assess the impact of using young versus older subject diffusion MRI data for virtual lesion tractography, we leveraged recently available diffusion MRI data from the Human Connectome Project (HCP) Lifespan database. Neuroimaging data from 50 healthy young (39.2 ± 1.6 years) and 46 healthy older (74.2 ± 2.5 years) subjects were obtained from the publicly available HCP-Aging database. Three WMH masks with low, moderate, and high lesion burdens were extracted from the WMH lesion frequency map of locally acquired FLAIR MRI data. Deterministic tractography was conducted to extract streamlines in 21 WM bundles with and without the WMH masks as regions of avoidance in both young and older cohorts. For intact tractography without virtual lesion masks, 7 out of 21 WM pathways showed a significantly lower number of streamlines in older subjects compared to young subjects. A decrease in streamline count with higher native lesion burden was found in corpus callosum, corticostriatal tract, and fornix pathways. Comparable percentages of affected streamlines were obtained in young and older groups with virtual lesion tractography using the three WMH lesion masks of increasing severity. We conclude that using normative diffusion MRI data from young subjects for virtual lesion tractography of WMH is, in most cases, preferable to using age-matched normative data.
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