ArticleNeuroImage2020
Functional engagement of white matter in resting-state brain networks.
Article in NeuroImage, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.
What it found
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
32 citing papers in PubMed, 53 citations in OpenAlex.
- White-Matter BOLD Encoding Beyond Marginal Connectivity.bioRxiv : the preprint server for biology · 2026Article
- The nature and interpretation of BOLD signals in white matter - A review.Magnetic resonance imaging · 2026Review
- Diffusion tensor imaging-functional MRI fusion reveals disrupted white matter structure-function coupling in HIV-associated asymptomatic neurocognitive impairment.Frontiers in neuroscience · 2026Article
- Functional contrast across the gray-white matter boundary.Nature communications · 2025Article
- Abnormal spontaneous regional white-matter brain activity in patients with obsessive-compulsive disorder.Frontiers in psychology · 2025Article
- Longitudinal effects of sex differences and apolipoprotein E genotype on white matter engagement among elderly.Brain communications · 2025Article
- White matter functional connectome gradient dysfunction in major depressive disorder.Psychoradiology · 2025Article
- WhiFuN: A toolbox to map the white matter functional networks of the human brain.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- White Matter-Gray Matter Correlation Analysis Based on White Matter Functional Gradient.Brain sciences · 2024Article
- White matter engagement in brain networks assessed by integration of functional and structural connectivity.NeuroImage · 2024Article
- Characteristic BOLD signals are detectable in white matter of the spinal cord at rest and after a stimulus.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Assessing White Matter Engagement in Brain Networks through Functional and Structural Connectivity Mapping.bioRxiv : the preprint server for biology · 2024Article
- Imaging of the superficial white matter in health and disease.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Denoising task-related fMRI: Balancing noise reduction against signal loss.Human brain mapping · 2023Article
- Whole-brain, gray, and white matter time-locked functional signal changes with simple tasks and model-free analysis.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Detection and characterization of resting state functional networks in squirrel monkey brain.Cerebral cortex communications · 2023Article
- Changes in the superior longitudinal fasciculus and anterior thalamic radiation in the left brain are associated with developmental dyscalculia.Frontiers in human neuroscience · 2023Article
- Article
- Latency structure of BOLD signals within white matter in resting-state fMRI.Magnetic resonance imaging · 2022Article
- Article
Corrections and comments
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Authors and funding
6 authors at 3 institutions in 2 countries.
Funding
Abstract
The topological characteristics of functional networks, derived from measurements of resting-state connectivity in gray matter (GM), are associated with individual cognitive abilities or specific dysfunctions. However, blood oxygen level-dependent (BOLD) signals in white matter (WM) are usually ignored or even regressed out as nuisance factors in the data analyses that underlie network models. Recent studies have demonstrated reliable detection of WM BOLD signals and imply these reflect associated neural activities. Here we evaluate quantitatively the contributions of individual WM voxels to the identification of functional networks, which we term their engagement (or conceptually, their importance). We quantify the engagement by measuring the reductions of connectivity, produced by ignoring the signal fluctuations within each WM voxel, with respect to both the entire network (global) or a single GM node (local). We observed highly reproducible spatial distributions of global engagement maps, as well as a trend toward increased relevance of deep WM voxels at delayed times. Local engagement maps exhibit homogeneous spatial distributions with respect to internal nodes that constitute a well-recognized sub-functional network, but inhomogeneous distributions with respect to other nodes. WM voxels show distinct distributions of engagement depending on their anatomical locations. These findings demonstrate the important role of WM in network modeling, thus supporting the need for changes of conventional views that WM signal variations represent only physiological noise.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.