ArticleNeuroImage2018
Harmonization of cortical thickness measurements across scanners and sites.
Article in NeuroImage, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 978 papers.
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Who cites it
978 citing papers in PubMed.
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- Mapping topological abnormalities in cortical similarity networks to schizophrenia-associated gene expression.Dialogues in clinical neuroscience · 2026Article
- Dynamic long-term modulation of cognition, brain structure and covariance networks in mild cognitive impairment due to AD by donepezil: A 36-month longitudinal study.Journal of neurology · 2026Article
- Dissociable associations of free-water fraction and DTI-ALPS index with disease manifestation and mutation carrier status in Parkinson's disease.Japanese journal of radiology · 2026Article
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- Impact of different pre-processing methods combined with combat harmonization on the reproducibility of radiomics features in healthy human brain MRI.Magma (New York, N.Y.) · 2026Article
- Altered connectivity and network efficiency in preterm infants.Cerebral cortex (New York, N.Y. : 1991) · 2026Article
- Perinatal maternal distress and neurobehavioural development in toddlers.Developmental cognitive neuroscience · 2026Article
- Population connective field modeling reveals proto-retinotopic visual cortex organization in the prenatal human brain.Science advances · 2026Article
- Orbitofrontal cortex and amygdala as key regions for the classification of small animal phobia: A structural MRI machine learning study.Cognitive, affective & behavioral neuroscience · 2026Article
- Validating Radiomic Feature Comparisons with Patient-Specific Image Surrogates.Journal of imaging informatics in medicine · 2026Article
- Cerebral cortical alterations in adolescent early-onset psychosis: a surface-based morphometry mega-analysis.Molecular psychiatry · 2026Article
- Artificial intelligence in biomarker discovery for diseases: diagnostic and therapeutic prospects.Signal transduction and targeted therapy · 2026Review
- Convergent multidimensional neural phenotypes in human patients and schizophrenia-relevant mouse models identify reduced recurrent excitation in cortical circuits.medRxiv : the preprint server for health sciences · 2026Article
- Machine learning-derived Alzheimer's disease dimensions: neuroanatomical, cognitive, clinical, functional, and genetic risk heterogeneity signatures.medRxiv : the preprint server for health sciences · 2026Article
- The cross-site reproducibility of MRI morphometric phenotypes in psychiatric disorders.Nature neuroscience · 2026Article
- Relationship Between Dp140 Genotype and Cortical Similarity Network Phenotype in Duchenne Muscular Dystrophy: Preliminary T1 Weighted Study.Journal of magnetic resonance imaging : JMRI · 2026Article
- Presence, Severity, and Functional Associations of Incomplete Hippocampal Inversion in 22q11.2 Deletion Syndrome.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2026Article
918 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
15 authors.
Funding
Abstract
With the proliferation of multi-site neuroimaging studies, there is a greater need for handling non-biological variance introduced by differences in MRI scanners and acquisition protocols. Such unwanted sources of variation, which we refer to as "scanner effects", can hinder the detection of imaging features associated with clinical covariates of interest and cause spurious findings. In this paper, we investigate scanner effects in two large multi-site studies on cortical thickness measurements across a total of 11 scanners. We propose a set of tools for visualizing and identifying scanner effects that are generalizable to other modalities. We then propose to use ComBat, a technique adopted from the genomics literature and recently applied to diffusion tensor imaging data, to combine and harmonize cortical thickness values across scanners. We show that ComBat removes unwanted sources of scan variability while simultaneously increasing the power and reproducibility of subsequent statistical analyses. We also show that ComBat is useful for combining imaging data with the goal of studying life-span trajectories in the brain.
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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 OpenQuestion graph.