ArticleNeuroImage2024
White matter engagement in brain networks assessed by integration of functional and structural connectivity.
Article in NeuroImage, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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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
6 citing papers in PubMed.
- Sex differences in brain functional connectivity changes to different energy densities of laser acupuncture at PC6 (Neiguan): a pilot resting-state fMRI study.Lasers in medical science · 2026Trial
- 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
- White-Matter BOLD Mediates Time-Varying Cortico-Cortical Functional Connectivity.bioRxiv : the preprint server for biology · 2025Article
- The Relationship Between the Phonological Processing Network and the Tip-of-the-Tongue Phenomenon: Evidence from Large-Scale DTI Data.Behavioral sciences (Basel, Switzerland) · 2025Article
- Structure-function coupling in highly sampled individual brains.Cerebral cortex (New York, N.Y. : 1991) · 2024Article
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9 authors.
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Abstract
Current models of brain networks may potentially be improved by integrating our knowledge of structural connections, within and between circuits, with metrics of functional interactions between network nodes. The former may be obtained from diffusion MRI of white matter (WM), while the latter may be derived by measuring correlations between resting state BOLD signals from pairs of gray matter (GM) regions. From inspection of diffusion MRI data, it is clear that each WM voxel within a 3D image array may be traversed by multiple WM structural tracts, each of which connects a pair of GM nodes. We hypothesized that by appropriately weighting and then integrating the functional connectivity of each such connected pair, the overall engagement of any WM voxel in brain functions could be evaluated. This model introduces a structural constraint to earlier studies of WM engagement and addresses some limitations of previous efforts to relate structure and function. Using concepts derived from graph theory, we obtained spatial maps of WM engagement which highlight WM regions critical for efficient communications across the brain. The distributions of WM engagement are highly reproducible across subjects and depict a notable interdependence between the distribution of GM activities and the detailed organization of WM. Additionally, we provide evidence that the engagement varies over time and shows significant differences between genders. These findings suggest the potential of WM engagement as a measure of the integrity of normal brain functions and as a biomarker for neurological and cognitive disorders.
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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.