ArticleHuman brain mapping2019
Towards an optimised processing pipeline for diffusion magnetic resonance imaging data: Effects of artefact corrections on diffusion metrics and their age associations in UK Biobank.
Article in Human brain mapping, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers.
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Who cites it
53 citing papers in PubMed.
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- Microstructural Changes in the Corpus Callosum in Different Forms of Sporadic Age-Related Cerebral Small Vessel Disease.Diagnostics (Basel, Switzerland) · 2026Article
- The Interplay Between Sleep Disturbance, Glymphatic Dysfunction and Altered Brain Networks in Internet Gaming Disorder: A Multimodal Neuroimaging Study.Addiction biology · 2026Article
- Adversity as the key feature: neuroimaging profiles of subtypes from multiple depression risk factors.Psychological medicine · 2026Article
- White matter microstructure differences between 15q11.2 copy number variation carriers and non-carriers in mid-to-late life.Translational psychiatry · 2026Article
- Iterative learning for joint image denoising and motion artifact correction of 3D brain MRI.Medical image analysis · 2026Article
- Linking obesity with white matter microstructure highlights the importance of brainstem tracts and sex differences.Brain communications · 2026Article
- No causal links between estradiol and female's brain and mental health using Mendelian randomization.Nature communications · 2025Article
- Body roundness index and mental health in middle-aged and elderly adults: a prospective cohort study.Scientific reports · 2025Article
- Linking Psychotic-Like Experiences and Brain White Matter Microstructure in Young Women.Brain and behavior · 2025Article
- Glymphatic function associates with Alzheimer's disease-signature region volumes, plasma biomarkers and white matter hyperintensity progression in cognitively unimpaired older adults.Age and ageing · 2025Article
- Article
- Alterations of diffusion kurtosis measures in gait-related white matter in the "ON-OFF state" of Parkinson's disease.Chinese medical journal · 2025Article
- Comparison of different neurite density metrics with brain asymmetry evaluation.Zeitschrift fur medizinische Physik · 2025Article
- Cross-Sectional Brain Age Assessments Are Limited in Predicting Future Brain Change.Human brain mapping · 2025Article
- Glymphatic System Dysfunction in Thyroid Eye Disease Associated with Disease Activity and Duration.Journal of inflammation research · 2025Article
- Investigating changes in the premotor cortex-derived frontal-striatal-thalamic subcircuit in attenuated psychosis syndrome.Brain imaging and behavior · 2024Article
- Cognitive Impairment in Cerebral Small Vessel Disease Is Associated with Corpus Callosum Microstructure Changes Based on Diffusion MRI.Diagnostics (Basel, Switzerland) · 2024Article
- Association of birthweight and risk of incident dementia: a prospective cohort study.GeroScience · 2024Article
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3 authors.
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Abstract
Increasing interest in the structural and functional organisation of the human brain encourages the acquisition of big data sets comprising multiple neuroimaging modalities, often accompanied by additional information obtained from health records, cognitive tests, biomarkers and genotypes. Diffusion weighted magnetic resonance imaging data enables a range of promising imaging phenotypes probing structural connections as well as macroanatomical and microstructural properties of the brain. The reliability and biological sensitivity and specificity of diffusion data depend on processing pipeline. A state-of-the-art framework for data processing facilitates cross-study harmonisation and reduces pipeline-related variability. Using diffusion magnetic resonance imaging (MRI) data from 218 individuals in the UK Biobank, we evaluate the effects of different processing steps that have been suggested to reduce imaging artefacts and improve reliability of diffusion metrics. In lack of a ground truth, we compared diffusion metric sensitivity to age between pipelines. By comparing distributions and age sensitivity of the resulting diffusion metrics based on different approaches (diffusion tensor imaging, diffusion kurtosis imaging and white matter tract integrity), we evaluate a general pipeline comprising seven postprocessing blocks: noise correction; Gibbs ringing correction; evaluation of field distortions; susceptibility, eddy-current and motion-induced distortion corrections; bias field correction; spatial smoothing and final diffusion metric estimations. Based on this evaluation, we suggest an optimised processing pipeline for diffusion weighted MRI data.
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