ArticleImaging neuroscience (Cambridge, Mass.)2024
DPABI harmonization: A toolbox for harmonizing multi-site brain imaging for big-data era.
Article in Imaging neuroscience (Cambridge, Mass.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
7 citing papers in PubMed.
- A frontotemporal free water signature associated to interleukin-8 and cognitive impairment in schizophrenia with comorbidity of metabolic syndrome.Brain, behavior, & immunity - health · 2026Article
- Neural regions associated with memories of Recalled Experiences of Death (REDs; authentic Near‑Death Experiences [NDEs]): a preliminary functional MRI study.Resuscitation plus · 2026Article
- Machine-learning classification of children and adolescents with ASD using resting-state frequency-specific intrinsic activity.Frontiers in neuroscience · 2026Article
- Structural brain alterations associated with brain age may link to social dysfunction in male adults with autism spectrum disorder.Frontiers in neuroscience · 2026Article
- Hidden Rhythms of a Developing Brain: Multimetric rs-fMRI Insights Into Typical Youth Maturation.Human brain mapping · 2025Article
- Abnormal subthalamic nucleus functional connectivity and machine learning classification in Parkinson's disease: a multisite functional magnetic resonance imaging study.Frontiers in aging neuroscience · 2025Article
- Functional reorganization of brain networks from childhood to adolescence: A multi-level approach.International journal of clinical and health psychology : IJCHPArticle
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Pooling multi-site datasets is the dominant trend to expand sample sizes in neuroimaging field, thereby enhancing statistical power and reproducibility of research findings. Nevertheless, the heterogeneity derived from aggregating data from various imaging sites obstructs efficient inferences. Our recent study thoroughly assessed methods for harmonizing multi-site resting-state fMRI images, accelerating progress and providing initial application instructions. Despite this advancement, the removal of such site effects generally necessitates a certain level of programming expertise. In our effort to streamline the harmonization of site effects using advanced methodologies, we are pleased to introduce the DPABI Harmonization module. This versatile tool, allowing agnostic to specific analysis methods, integrates a range of techniques, including the state-of-the-art Subsampling Maximum-mean-distance Algorithms (SMA, recommended), ComBat/CovBat, linear models, and invariant conditional variational auto-encoder (ICVAE). It equips neuroscientists with an easy-to-use and transparent harmonization workflow, ensuring the feasibility of post-hoc analysis for multi-site studies.
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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.