ArticleFrontiers in neurology2022
Multisite Harmonization of Structural DTI Networks in Children: An A-CAP Study.
Article in Frontiers in neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed.
- Reproducibility of diffusion, shape, and connectivity metrics across scanners: Implications for multi-site tractography.NeuroImage · 2026Article
- Pediatric Mild Traumatic Brain Injury and Concussion: Modern Pathophysiological Insights, Diagnostic Advances, and Active Management Protocols.Brain sciences · 2026Review
- ComBat Harmonization With and Without Empirical Bayes Estimation for Resting-State Functional Connectivity in Pediatric Mild Traumatic Brain Injury: a CARE4Kids Study.Research square · 2026Article
- Harmonizing 10,000 connectomes: site-invariant representation learning for multi-site analysis of network connectivity and cognitive impairment.Journal of medical imaging (Bellingham, Wash.) · 2025Article
- Article
- Sex differences in maturational timing of amygdala and prefrontal cortex volumes and white matter tract microstructure.Developmental cognitive neuroscience · 2025Article
- Big Data, Small Bias: Harmonizing Diffusion MRI-Based Structural Connectomes to Mitigate Site-Related Bias in Data Integration.Human brain mapping · 2025Article
- Harmonization of Structural Brain Connectivity Through Distribution Matching.Human brain mapping · 2025Article
- Harmonization of Structural Brain Connectivity through Distribution Matching.bioRxiv : the preprint server for biology · 2025Article
- Learning disentangled representations to harmonize connectome network measures.Journal of medical imaging (Bellingham, Wash.) · 2025Article
- Article
- Morphometric brain organization across the human lifespan reveals increased dispersion linked to cognitive performance.PLoS biology · 2024Article
- Evaluation of Mean Shift, ComBat, and CycleGAN for Harmonizing Brain Connectivity Matrices Across Sites.Proceedings of SPIE--the International Society for Optical Engineering · 2024Article
- Learning site-invariant features of connectomes to harmonize complex network measures.Proceedings of SPIE--the International Society for Optical Engineering · 2024Article
- Evaluation of Mean Shift, ComBat, and CycleGAN for Harmonizing Brain Connectivity Matrices Across Sites.ArXiv · 2024Article
- Modeling the impact of MRI acquisition bias on structural connectomes: Harmonizing structural connectomes.Network neuroscience (Cambridge, Mass.) · 2024Article
- Image harmonization: A review of statistical and deep learning methods for removing batch effects and evaluation metrics for effective harmonization.NeuroImage · 2023Review
- Comparing voxel- and feature-wise harmonization of complex graph measures from multiple sites for structural brain network investigation of aging.Proceedings of SPIE--the International Society for Optical Engineering · 2023Article
- Altered longitudinal structural connectome in paediatric mild traumatic brain injury: an Advancing Concussion Assessment in Paediatrics study.Brain communications · 2023Article
- Diffusion in the corpus callosum predicts persistence of clinical symptoms after mild traumatic brain injury, a multi-scanner study.Frontiers in neuroimaging · 2023Article
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Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The analysis of large, multisite neuroimaging datasets provides a promising means for robust characterization of brain networks that can reduce false positives and improve reproducibility. However, the use of different MRI scanners introduces variability to the data. Managing those sources of variability is increasingly important for the generation of accurate group-level inferences. ComBat is one of the most promising tools for multisite (multiscanner) harmonization of structural neuroimaging data, but no study has examined its application to graph theory metrics derived from the structural brain connectome. The present work evaluates the use of ComBat for multisite harmonization in the context of structural network analysis of diffusion-weighted scans from the Advancing Concussion Assessment in Pediatrics (A-CAP) study. Scans were acquired on six different scanners from 484 children aged 8.00-16.99 years [Mean = 12.37 ± 2.34 years; 289 (59.7%) Male] ~10 days following mild traumatic brain injury (
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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.