ArticleNeuroImage2023
Column-based cortical depth analysis of the diffusion anisotropy and radiality in submillimeter whole-brain diffusion tensor imaging of the human cortical gray matter in vivo.
Article in NeuroImage, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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13 citing papers in PubMed, 21 citations in OpenAlex.
- Visualizing cortical laminar architecture in the living human brain using next-generation ultra-high-gradient diffusion MRI.Communications biology · 2026Article
- Study protocol for the Champaign-Urbana population study.Frontiers in neuroimaging · 2026Article
- Composite quantitative structural magnetic resonance imaging-based risk scoring model for predicting radiation-induced temporal lobe necrosis in nasopharyngeal carcinoma: a novel risk stratification model.Radiation oncology (London, England) · 2025Article
- Longitudinal changes in cortical cell body and neurite density in people with multiple sclerosis.Neuroscience · 2025Article
- Visualizing cortical laminar architecture in the living human brain using next-generation ultra-high-gradient diffusion MRI.Research square · 2025Article
- Layer-Dependent Effect of Aβ-Pathology on Cortical Microstructure With Ex Vivo Human Brain Diffusion MRI at 7 Tesla.Human brain mapping · 2025Article
- Depthwise cortical iron relates to functional connectivity and fluid cognition in healthy aging.Neurobiology of aging · 2025Article
- Characterizing positive and negative quantitative susceptibility values in the cortex following mild traumatic brain injury: a depth- and curvature-based study.Cerebral cortex (New York, N.Y. : 1991) · 2025Article
- Predicting risk of impending cognitive decline in asymptomatic individuals with early Alzheimer's disease: Insights from cortical diffusion MRI.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- High resolution diffusion tensor imaging of the human cortex reveals non-linear trajectories over the healthy lifespan.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Mild traumatic brain injury increases cortical iron: evidence from individual susceptibility mapping.Brain communications · 2025Article
- Depth- and curvature-based quantitative susceptibility mapping analyses of cortical iron in Alzheimer's disease.Cerebral cortex (New York, N.Y. : 1991) · 2024Article
- Higher spatial resolution diffusion-weighted imaging improves characterization of white matter disconnection in Alzheimer's disease.Imaging neuroscience (Cambridge, Mass.)Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 2 countries.
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Abstract
High-resolution diffusion tensor imaging (DTI) can noninvasively probe the microstructure of cortical gray matter in vivo. In this study, 0.9-mm isotropic whole-brain DTI data were acquired in healthy subjects with an efficient multi-band multi-shot echo-planar imaging sequence. A column-based analysis that samples the fractional anisotropy (FA) and radiality index (RI) along radially oriented cortical columns was then performed to quantitatively analyze the FA and RI dependence on the cortical depth, cortical region, cortical curvature, and cortical thickness across the whole brain, which has not been simultaneously and systematically investigated in previous studies. The results showed characteristic FA and RI vs. cortical depth profiles, with an FA local maximum and minimum (or two inflection points) and a single RI maximum at intermediate cortical depths in most cortical regions, except for the postcentral gyrus where no FA peaks and a lower RI were observed. These results were consistent between repeated scans from the same subjects and across different subjects. They were also dependent on the cortical curvature and cortical thickness in that the characteristic FA and RI peaks were more pronounced i) at the banks than at the crown of gyri or at the fundus of sulci and ii) as the cortical thickness increases. This methodology can help characterize variations in microstructure along the cortical depth and across the whole brain in vivo, potentially providing quantitative biomarkers for neurological disorders.
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