ArticleHuman brain mapping2018
Networks of myelin covariance.
Article in Human brain mapping, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed, 38 citations in OpenAlex.
- The quest for the best: manual, atlas- and spatial prior-based delineation of locus coeruleus.NeuroImage. Clinical · 2026Article
- Causal Brain Network Alterations Across Disease Stages in Herpes Zoster and Postherpetic Neuralgia.Journal of pain research · 2026Article
- Brain Myelin Covariance Networks: Gradients, Cognition, and Higher-Order Landscape.Behavioral sciences (Basel, Switzerland) · 2025Article
- Single-subject electroencephalography measurement of interhemispheric transfer time for the in-vivo estimation of axonal morphology.Human brain mapping · 2023Article
- In vivo characterization of magnetic resonance imaging-based T1w/T2w ratios reveals myelin-related changes in temporal lobe epilepsy.Human brain mapping · 2023Article
- Topography of associations between cardiovascular risk factors and myelin loss in the ageing human brain.Communications biology · 2023Article
- Coordinated anatomical and functional variability in the human brain during adolescence.Human brain mapping · 2023Article
- Evaluation of tractography-based myelin-weighted connectivity across the lifespan.Frontiers in neuroscience · 2023Article
- Signatures of life course socioeconomic conditions in brain anatomy.Human brain mapping · 2022Article
- Restoring statistical validity in group analyses of motion-corrupted MRI data.Human brain mapping · 2022Article
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- Brain tissue integrity mapping in adults with obstructive sleep apnea using T1-weighted and T2-weighted images.Therapeutic advances in neurological disorders · 2022Article
- Brain activity during walking in older adults: Implications for compensatory versus dysfunctional accounts.Neurobiology of aging · 2021Review
- A Comparison of Quantitative R1 and Cortical Thickness in Identifying Age, Lifespan Dynamics, and Disease States of the Human Cortex.Cerebral cortex (New York, N.Y. : 1991) · 2021Article
- Apolipoprotein E allele 4 effects on Single-Subject Gray Matter Networks in Mild Cognitive Impairment.NeuroImage. Clinical · 2021Article
- Automatic Segmentation of the Dorsal Claustrum in Humans Using in vivo High-Resolution MRI.Cerebral cortex communications · 2020Article
- Structural Associations of Cortical Contrast and Thickness in First Episode Psychosis.Cerebral cortex (New York, N.Y. : 1991) · 2019Article
- Structural cortical network reorganization associated with early conversion to multiple sclerosis.Scientific reports · 2018Article
- Networks of myelin covariance.Human brain mapping · 2018Article
- White Matter Plasticity Keeps the Brain in Tune: Axons Conduct While Glia Wrap.Frontiers in cellular neuroscience · 2018Review
Corrections and comments
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Authors and funding
8 authors at 1 institution in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Networks of anatomical covariance have been widely used to study connectivity patterns in both normal and pathological brains based on the concurrent changes of morphometric measures (i.e., cortical thickness) between brain structures across subjects (Evans, ). However, the existence of networks of microstructural changes within brain tissue has been largely unexplored so far. In this article, we studied in vivo the concurrent myelination processes among brain anatomical structures that gathered together emerge to form nonrandom networks. We name these "networks of myelin covariance" (Myelin-Nets). The Myelin-Nets were built from quantitative Magnetization Transfer data-an in-vivo magnetic resonance imaging (MRI) marker of myelin content. The synchronicity of the variations in myelin content between anatomical regions was measured by computing the Pearson's correlation coefficient. We were especially interested in elucidating the effect of age on the topological organization of the Myelin-Nets. We therefore selected two age groups: Young-Age (20-31 years old) and Old-Age (60-71 years old) and a pool of participants from 48 to 87 years old for a Myelin-Nets aging trajectory study. We found that the topological organization of the Myelin-Nets is strongly shaped by aging processes. The global myelin correlation strength, between homologous regions and locally in different brain lobes, showed a significant dependence on age. Interestingly, we also showed that the aging process modulates the resilience of the Myelin-Nets to damage of principal network structures. In summary, this work sheds light on the organizational principles driving myelination and myelin degeneration in brain gray matter and how such patterns are modulated by aging.
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