ArticleNeuropsychologia2025
From MRIcro to MRIcron: The evolution of neuroimaging visualization tools.
Article in Neuropsychologia, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
16 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The multimodal neuroimaging signatures and gene expression profiles for adverse childhood experiences.BMC medicine · 2025Pooled it
- Neuroanatomical correlates of stroke-related dizziness and vertigo: secondary analysis from the INSPiRE-TMS trial.Journal of neurology · 2026Trial
- Brain dynamics of crosslinguistic interference resolution in Spanish-English bilinguals with and without aphasia.Bilingualism (Cambridge, England) · 2026Article
- Plasma phosphorylated tau biomarkers map onto [^18F]FDG PET hypometabolism: a voxel-wise study in a clinical cohort with CSF-confirmed AD subgroup analysis.European journal of nuclear medicine and molecular imaging · 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
- U-Net-based transfer learning for automated tumour segmentation enabling fully automated [Brain informatics · 2026Article
- Standardized methodology for assessing the presence, variants and area of the interthalamic adhesion using anatomical MRI (SNAP-IA): multicentric validation on 565 healthy individuals and multiple neurological disorders.Brain structure & function · 2026Article
- Longitudinal changes in effective connectivity associated with worsening freezing of gait in Parkinson's disease: a resting-state functional MRI study.Journal of neurology · 2026Observational
- Unique Amygdala Signatures and Shared Prefrontal Deficits in Autism: Mapping Social Heterogeneity via Naturalistic functional Magnetic Resonance Imaging.bioRxiv : the preprint server for biology · 2026Article
- Cortical hierarchy and aphasia severity: the sensorimotor-association gradient modulates lesion effects within language-specific networks.Communications biology · 2026Article
- Computational Pipeline in Clinical Connectomics.Methods in molecular biology (Clifton, N.J.) · 2026Article
- MRIcroGL: voxel-based visualization for neuroimaging.Nature methods · 2025Article
- SAGEFusionNet: An Auxiliary Supervised Graph Neural Network for Brain Age Prediction as a Neurodegenerative Biomarker.Brain sciences · 2025Article
- Greater neural overlap between motor imagery and working memory than with movement execution: A meta-analytic comparison.Imaging neuroscience (Cambridge, Mass.)Article
- Organization, fine structure, and stereotaxic maps of the human Bed nucleus of the Stria terminalis.Imaging neuroscience (Cambridge, Mass.)Article
- Harnessing team science in dementia research: Insights from the Alzheimer's disease research group in South Carolina.Journal of Alzheimer's disease reportsReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
Abstract
Visualization software is a critical component at every stage of neuroimaging research. It enables researchers to inspect raw or processed datasets for artifacts, to identify anomalies, to verify the accuracy of automated processing, and to interpret the location of statistical results within the complex structure of the human brain. Since 2006, MRIcron has provided a free, open-source, cross-platform tool designed to meet these needs. Despite its minimal system requirements, MRIcron supports various popular neuroimaging file formats, ensuring compatibility with widely-used tools in the field, such as SPM, FreeSurfer, FSL, and AFNI. The intuitive graphical interface allows for straightforward image visualization and manipulation, while its advanced features such as lesion drawing and ability to handle many image formats cater to more sophisticated analyses. Furthermore, MRIcron's scripting capabilities enable users to automate complex workflows, facilitating the efficient processing of large datasets. In summary, MRIcron is a powerful and versatile tool that addresses the visualization and analysis needs of the neuroimaging community, contributing to the advancement of brain research by providing a reliable and efficient solution for brain imaging analysis. This article describes the development of MRIcron, from its inception to the present day.
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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.