ArticleNeuroImage2018
Mapping population-based structural connectomes.
Article in NeuroImage, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers.
What it found
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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
57 citing papers in PubMed.
- Increased segregation of structural brain networks underpins enhanced broad cognitive abilities of cognitive training.Human brain mapping · 2021Trial
- Differential brain response to a highly palatable drink in chronic low back pain patients.Journal of neurophysiology · 2026Article
- Anatomically constrained and curated cerebellar tractography (ACCURAT): an open framework and a pathway-specific neuroanatomical reference.bioRxiv : the preprint server for biology · 2026Article
- Connectome-based spatial statistics enabling large-scale population analyses of human connectome across cohorts.bioRxiv : the preprint server for biology · 2026Article
- A pilot study on protocol consistency and graph metric reproducibility in microstructure-weighted connectomes.Scientific reports · 2026Article
- Mapping the coupling between tract reachability and cortical geometry of the human brain.Nature communications · 2025Article
- Comparison of structural connectomes for modeling deep brain stimulation pathway activation.NeuroImage · 2025Article
- Profiles of brain topology for dual-functional stability in old age.GeroScience · 2025Article
- Synchronization of Kuromoto Oscillators on Simplicial Complexes: Hysteresis, Cluster Formation and Partial Synchronization.Entropy (Basel, Switzerland) · 2025Review
- Diffusion wavelets on connectome: Localizing the sources of diffusion mediating structure-function mapping using graph diffusion wavelets.Network neuroscience (Cambridge, Mass.) · 2025Article
- H-VIP: quantifying regional topological contributions of the brain network to cognition.Frontiers in radiology · 2025Article
- A multisite validation of brain white matter pathways of resilience to chronic back pain.eLife · 2024Article
- Quantitative metrics commonly derived from diffusion tractography covary with streamline length: a characterization and method of adjustment.Brain structure & function · 2024Article
- Brain white matter pathways of resilience to chronic back pain: a multisite validation.bioRxiv : the preprint server for biology · 2024Article
- Topological state-space estimation of functional human brain networks.PLoS computational biology · 2024Article
- ESTIMATING FIBER ORIENTATION DISTRIBUTION WITH APPLICATION TO STUDY BRAIN LATERALIZATION USING HCP D-MRI DATA.The annals of applied statistics · 2024Article
- Brain tissue segmentation in neurosurgery: a systematic analysis for quantitative tractography approaches.Acta neurologica Belgica · 2024Review
- Attention-based fusion of multiple graphheat networks for structural to functional brain mapping.Scientific reports · 2024Article
- Weighting the structural connectome: Exploring its impact on network properties and predicting cognitive performance in the human brain.Network neuroscience (Cambridge, Mass.) · 2024Article
- CoCoNest: A continuous structural connectivity-based nested family of parcellations of the human cerebral cortex.Network neuroscience (Cambridge, Mass.) · 2024Article
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
Advances in understanding the structural connectomes of human brain require improved approaches for the construction, comparison and integration of high-dimensional whole-brain tractography data from a large number of individuals. This article develops a population-based structural connectome (PSC) mapping framework to address these challenges. PSC simultaneously characterizes a large number of white matter bundles within and across different subjects by registering different subjects' brains based on coarse cortical parcellations, compressing the bundles of each connection, and extracting novel connection weights. A robust tractography algorithm and streamline post-processing techniques, including dilation of gray matter regions, streamline cutting, and outlier streamline removal are applied to improve the robustness of the extracted structural connectomes. The developed PSC framework can be used to reproducibly extract binary networks, weighted networks and streamline-based brain connectomes. We apply the PSC to Human Connectome Project data to illustrate its application in characterizing normal variations and heritability of structural connectomes in healthy subjects.
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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.