ArticleHuman brain mapping2025
ComBatLS: A Location- and Scale-Preserving Method for Multi-Site Image Harmonization.
Article in Human brain mapping, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- Harmonization in magnetic resonance imaging: A survey of acquisition, image-level, and feature-level methods.Medical image analysis · 2026Review
- ComBat-Predict Enhances Generalizability of Neuroimaging Models to New Sites.Human brain mapping · 2026Article
- Brain charts for neuroanatomical sex differences across the human lifespan.bioRxiv : the preprint server for biology · 2026Article
- dGAMLSS: an exact, distributed algorithm to fit Generalized Additive Models for Location, Scale, and Shape for privacy-preserving population reference charts.Bioinformatics (Oxford, England) · 2026Article
- A linked independent component analysis framework for characterizing site-effect patterns in multi-site structural and functional MRI.Frontiers in bioinformatics · 2026Article
- Specific genetic and biological patterns underlying cortical morphological alterations in vascular cognitive impairment.Alzheimer's research & therapy · 2025Article
- Medication and atypical brain maturation in psychosis associated with long-term cognitive decline and symptom progression.The British journal of psychiatry : the journal of mental science · 2025Article
- Calibration of MRI-based reference intervals to new samples.bioRxiv : the preprint server for biology · 2025Article
- Systematic protocol to identify 'clinical controls' for paediatric neuroimaging research from clinically acquired brain MRIs.BMJ open · 2025Article
- Article
- Reduced brain structural similarity is associated with maturation, neurobiological features, and clinical status in schizophrenia.Nature communications · 2025Article
- State-Guided ICA of Functional Network Connectivity Reveals Temporal Signatures of Alzheimer's Disease.medRxiv : the preprint server for health sciences · 2025Article
- A systematic protocol to identify "clinical controls" for pediatric neuroimaging research from clinically acquired brain MRIs.bioRxiv : the preprint server for biology · 2025Article
- Flexible nonlinear modeling reveals age-related differences in resting-state functional brain connectivity in autistic males from childhood to mid-adulthood.Molecular autism · 2025Article
- Elucidation of Brain Morphogenesis Using Quantitative Brain Magnetic Resonance Imaging in Children.Pediatrics international : official journal of the Japan Pediatric SocietyReview
- Calibration of MRI-based reference intervals to new samples.Imaging neuroscience (Cambridge, Mass.)Article
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12 authors.
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Abstract
Recent study has leveraged massive datasets and advanced harmonization methods to construct normative models of neuroanatomical features and benchmark individuals' morphology. However, current harmonization tools do not preserve the effects of biological covariates including sex and age on features' variances; this failure may induce error in normative scores, particularly when such factors are distributed unequally across sites. Here, we introduce a new extension of the popular ComBat harmonization method, ComBatLS, that preserves biological variance in features' locations and scales. We use UK Biobank data to show that ComBatLS robustly replicates individuals' normative scores better than other ComBat methods when subjects are assigned to sex-imbalanced synthetic "sites." Additionally, we demonstrate that ComBatLS significantly reduces sex biases in normative scores compared to traditional methods. Finally, we show that ComBatLS successfully harmonizes consortium data collected across over 50 studies. R implementation of ComBatLS is available at https://github.com/andy1764/ComBatFamily.
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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 Socratic graph.