ArticleNetwork neuroscience (Cambridge, Mass.)2018
Effect of different spatial normalization approaches on tractography and structural brain networks.
Article in Network neuroscience (Cambridge, Mass.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Ventral temporal-frontal pathways in the human brain based on diffusion MRI tractography.NeuroImage · 2026Review
- Objective characterization of displacement of the frontal aslant tract in low-grade glioma: a quantitative tractography study.Neuroradiology · 2026Article
- Integrating standard and native spaces for radiomics and brain network analysis in Alzheimer's disease diagnosis and prognosis.Journal of neurology · 2026Article
- Early but discontinued exposure to a language exerts lasting effects on white matter architecture in the brain.Communications biology · 2025Article
- Probabilistic normative maps of the corticospinal and cortico-reticulospinal tracts in streamline and volumetric formats.Journal of neuroscience methods · 2025Article
- Brain Connectivity Gradients Alterations in Discordant Cerebrospinal Fluid Profile for Alzheimer's Disease Biomarkers.Human brain mapping · 2025Article
- Thalamostriatal disconnection underpins long-term seizure freedom in frontal lobe epilepsy surgery.Brain : a journal of neurology · 2023Article
- Building a tissue-unbiased brain template of fiber orientation distribution and tractography with multimodal registration.Magnetic resonance in medicine · 2023Article
- Recovery of neural dynamics criticality in personalized whole-brain models of stroke.Nature communications · 2022Article
- Single-case disconnectome lesion-symptom mapping: Identifying two subtypes of limb apraxia.Neuropsychologia · 2022Article
- The large-scale structural connectome of task-specific focal dystonia.Human brain mapping · 2020Article
- Structural Disconnection of the Tool Use Network after Left Hemisphere Stroke Predicts Limb Apraxia Severity.Cerebral cortex communications · 2020Article
- Diffusion tensor tractography in children with sensory processing disorder: Potentials for devising machine learning classifiers.NeuroImage. Clinical · 2019Article
- Finding maximally disconnected subnetworks with shortest path tractography.NeuroImage. Clinical · 2019Article
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3 authors.
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Abstract
To facilitate the comparison of white matter morphologic connectivity across target populations, it is invaluable to map the data to a standardized neuroanatomical space. Here, we evaluated direct streamline normalization (DSN), where the warping was applied directly to the streamlines, with two publically available approaches that spatially normalize the diffusion data and then reconstruct the streamlines. Prior work has shown that streamlines generated after normalization from reoriented diffusion data do not reliably match the streamlines generated in native space. To test the impact of these different normalization methods on quantitative tractography measures, we compared the reproducibility of the resulting normalized connectivity matrices and network metrics with those originally obtained in native space. The two methods that reconstruct streamlines after normalization led to significant differences in network metrics with large to huge standardized effect sizes, reflecting a dramatic alteration of the same subject's native connectivity. In contrast, after normalizing with DSN we found no significant difference in network metrics compared with native space with only very small-to-small standardized effect sizes. DSN readily outperformed the other methods at preserving native space connectivity and introduced novel opportunities to define connectome networks without relying on gray matter parcellations.
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