ArticleFrontiers in aging neuroscience2022
Multi-compartment diffusion magnetic resonance imaging models link tract-related characteristics with working memory performance in healthy older adults.
Article in Frontiers in aging neuroscience, 2022. 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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Who cites it
7 citing papers in PubMed.
- Article
- Healthy dietary intake diminishes the effect of cerebral small vessel disease on cognitive performance in older adults.Frontiers in neurology · 2025Article
- Intra-voxel angular dispersion of fibers in corpus callosum decreases with healthy aging.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- MRI free water mediates the association between water exchange rate across the blood brain barrier and executive function among older adults.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Subtle white matter intensity changes on fluid-attenuated inversion recovery imaging in patients with ischaemic stroke.Brain communications · 2024Article
- Correlates of axonal content in healthy adult span: Age, sex, myelin, and metabolic health.Cerebral circulation - cognition and behavior · 2024Article
- A role for the fornix in temporal sequence memory.The European journal of neuroscience · 2023Article
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Authors and funding
5 authors.
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Abstract
Multi-compartment diffusion MRI metrics [such as metrics from free water elimination diffusion tensor imaging (FWE-DTI) and neurite orientation dispersion and density imaging (NODDI)] may reflect more specific underlying white-matter tract characteristics than traditional, single-compartment metrics [i.e., metrics from Diffusion Tensor Imaging (DTI)]. However, it remains unclear if multi-compartment metrics are more closely associated with age and/or cognitive performance than single-compartment metrics. Here we compared the associations of single-compartment [Fractional Anisotropy (FA)] and multi-compartment diffusion MRI metrics [FWE-DTI metrics: Free Water Eliminated Fractional Anisotropy (FWE-FA) and Free Water (FW); NODDI metrics: Intracellular Volume Fraction (ICVF), Orientation Dispersion Index (ODI), and CSF-Fraction] with both age and working memory performance. A functional magnetic resonance imaging (fMRI) guided, white matter tractography approach was employed to compute diffusion metrics within a network of tracts connecting functional regions involved in working memory. Ninety-nine healthy older adults (aged 60-85) performed an in-scanner working memory task while fMRI was performed and also underwent multi-shell diffusion acquisition. The network of white matter tracts connecting functionally-activated regions was identified using probabilistic tractography. Diffusion metrics were extracted from skeletonized white matter tracts connecting fMRI activation peaks. Diffusion metrics derived from both single and multi-compartment models were associated with age (
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