ArticlePLoS computational biology2017
Brain network eigenmodes provide a robust and compact representation of the structural connectome in health and disease.
Article in PLoS computational biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.
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Who cites it
37 citing papers in PubMed.
- Eigenvalue Signatures Reveal Residual Motion Effects Across Resting-State fMRI Denoising Strategies.bioRxiv : the preprint server for biology · 2026Article
- Variations of structural-functional coupling in post-traumatic stress disorder are associated with underlying molecular and transcriptional features.Psychological medicine · 2026Article
- A Multiscale Methodology for Mapping Human Neuroanatomy.Methods in molecular biology (Clifton, N.J.) · 2026Article
- Mapping the microstructure of human cerebral cortex in vivo with diffusion MRI.Communications biology · 2025Article
- Physical mechanisms of human brain functions.Quantitative biology (Beijing, China) · 2025Review
- Metric structural human connectomes: Localization and multifractality of eigenmodes.Network neuroscience (Cambridge, Mass.) · 2025Article
- Contributions of connectional pathways to shaping Alzheimer's disease pathologies.Brain communications · 2025Article
- Integrative, segregative, and degenerate harmonics of the structural connectome.Communications biology · 2024Article
- Edge Density Imaging Identifies White Matter Biomarkers of Late-Life Obesity and Cognition.Aging and disease · 2024Article
- Systematic evaluation of fMRI data-processing pipelines for consistent functional connectomics.Nature communications · 2024Article
- Impact of white matter hyperintensities on structural connectivity and cognition in cognitively intact ADNI participants.Neurobiology of aging · 2024Article
- Mode-based morphometry: A multiscale approach to mapping human neuroanatomy.Human brain mapping · 2024Article
- Spectral graph model for fMRI: A biophysical, connectivity-based generative model for the analysis of frequency-resolved resting-state fMRI.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Eigenmode-based approach reveals a decline in brain structure-function liberality across the human lifespan.Communications biology · 2023Article
- Enhanced brain structure-function tethering in transmodal cortex revealed by high-frequency eigenmodes.Nature communications · 2023Article
- Mode-based morphometry: A multiscale approach to mapping human neuroanatomy.bioRxiv : the preprint server for biology · 2023Article
- Distributed harmonic patterns of structure-function dependence orchestrate human consciousness.Communications biology · 2023Article
- Deep brain stimulation for parkinson's disease induces spontaneous cortical hypersynchrony in extended motor and cognitive networks.Cerebral cortex (New York, N.Y. : 1991) · 2022Article
- Predicting time-resolved electrophysiological brain networks from structural eigenmodes.Human brain mapping · 2022Article
- Empirical estimation of the eigenmodes of macroscale cortical dynamics: Reconciling neural field eigenmodes and resting-state networks.Neuroimage. Reports · 2022Article
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4 authors.
Funding
Abstract
Recent research has demonstrated the use of the structural connectome as a powerful tool to characterize the network architecture of the brain and potentially generate biomarkers for neurologic and psychiatric disorders. In particular, the anatomic embedding of the edges of the cerebral graph have been postulated to elucidate the relative importance of white matter tracts to the overall network connectivity, explaining the varying effects of localized white matter pathology on cognition and behavior. Here, we demonstrate the use of a linear diffusion model to quantify the impact of these perturbations on brain connectivity. We show that the eigenmodes governing the dynamics of this model are strongly conserved between healthy subjects regardless of cortical and sub-cortical parcellations, but show significant, interpretable deviations in improperly developed brains. More specifically, we investigated the effect of agenesis of the corpus callosum (AgCC), one of the most common brain malformations to identify differences in the effect of virtual corpus callosotomies and the neurodevelopmental disorder itself. These findings, including the strong correspondence between regions of highest importance from graph eigenmodes of network diffusion and nexus regions of white matter from edge density imaging, show converging evidence toward understanding the relationship between white matter anatomy and the structural connectome.
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