ArticleNeuroImage2021
Integrating large-scale neuroimaging research datasets: Harmonisation of white matter hyperintensity measurements across Whitehall and UK Biobank datasets.
Article in NeuroImage, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Voxelwise correlation of neighbors as a hypothesis driven framework for characterizing white matter lesion heterogeneity.Scientific reports · 2026Article
- Effect of vascular lesion preprocessing on Brain Intensity AbNormality Classification Algorithm (BIANCA) white matter hyperintensity segmentation.NeuroImage. Clinical · 2026Article
- Deep-learning segmentation of the substantia nigra from multiparametric MRI: Application to Parkinson's disease.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Modeling the impact of MRI acquisition bias on structural connectomes: Harmonizing structural connectomes.Network neuroscience (Cambridge, Mass.) · 2024Article
- BIANCA-MS: An optimized tool for automated multiple sclerosis lesion segmentation.Human brain mapping · 2023Article
- Article
- Image harmonization: A review of statistical and deep learning methods for removing batch effects and evaluation metrics for effective harmonization.NeuroImage · 2023Review
- Grey matter reshaping of language-related regions depends on tumor lateralization.bioRxiv : the preprint server for biology · 2023Article
- Association of cerebral small vessel disease burden with brain structure and cognitive and vascular risk trajectories in mid-to-late life.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2022Article
- Article
- Comparison of domain adaptation techniques for white matter hyperintensity segmentation in brain MR images.Medical image analysis · 2021Article
- White matter hyperintensities classified according to intensity and spatial location reveal specific associations with cognitive performance.NeuroImage. Clinical · 2021Article
- Study Protocol: The Heart and Brain Study.Frontiers in physiology · 2021Article
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20 authors.
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Abstract
Large scale neuroimaging datasets present the possibility of providing normative distributions for a wide variety of neuroimaging markers, which would vastly improve the clinical utility of these measures. However, a major challenge is our current poor ability to integrate measures across different large-scale datasets, due to inconsistencies in imaging and non-imaging measures across the different protocols and populations. Here we explore the harmonisation of white matter hyperintensity (WMH) measures across two major studies of healthy elderly populations, the Whitehall II imaging sub-study and the UK Biobank. We identify pre-processing strategies that maximise the consistency across datasets and utilise multivariate regression to characterise study sample differences contributing to differences in WMH variations across studies. We also present a parser to harmonise WMH-relevant non-imaging variables across the two datasets. We show that we can provide highly calibrated WMH measures from these datasets with: (1) the inclusion of a number of specific standardised processing steps; and (2) appropriate modelling of sample differences through the alignment of demographic, cognitive and physiological variables. These results open up a wide range of applications for the study of WMHs and other neuroimaging markers across extensive databases of clinical data.
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