ArticleFrontiers in aging neuroscience2020
Development of Brain Structural Networks Over Age 8: A Preliminary Study Based on Diffusion Weighted Imaging.
Article in Frontiers in aging neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Demographics change the relationships between socioeconomic status, white matter network organization, and cognition in children.Developmental cognitive neuroscience · 2026Article
- Voxel-Wise Fusion of 3T and 7T Diffusion MRI Data to Extract more Accurate Fiber Orientations.Brain topography · 2024Article
- Cortical structural and functional coupling during development and implications for attention deficit hyperactivity disorder.Translational psychiatry · 2023Article
- Gray Matter Deterioration Pattern During Alzheimer's Disease Progression: A Regions-of-Interest Based Surface Morphometry Study.Frontiers in aging neuroscience · 2021Article
- Interactions Between Aging and Alzheimer's Disease on Structural Brain Networks.Frontiers in aging neuroscience · 2021Article
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5 authors.
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Abstract
Brain structural network changes provide key information about the aging process of the brain. Unfortunately, there has yet to be a detailed characterization of these structural networks across different age groups. Efforts to classify these networks have also been hampered by their reliance on technically limited traditional methods, which are unable to track multiple fiber orientations within a voxel and consequently are prone to false detection and artifacts. In this study, a newly developed Ensemble Average Propagator (EAP) based probabilistic tractography method was applied to construct a structural network, with the strength of the link between any two brain functional regions estimated according to the alignment of the EAP along connecting pathways. Age-related changes in the topological organization of human brain structural networks were thereby characterized across a broad age range (ages 8-75 years). The data from 48 healthy participants were divided into four age groups (Group 1 aged 8-15 years; Group 2 aged 25-35 years; Group 3 aged 45-55 years; and, Group 4 aged 65-75 years;
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