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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http://dx.doi.org/10.1016/j.neuropsychologia.2025.109067 | DOI Listing |
Neuropsychologia
January 2025
McCausland Center for Brain Imaging, Department of Psychology, University of South Carolina, Columbia, SC, 29016, USA. Electronic address:
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.
View Article and Find Full Text PDFAdv Neurol Neurosci Res
July 2021
Department of Neurobiology and Developmental Sciences, University of Arkansas for Medical Sciences, USA.
Biomed Res Int
February 2015
Neuromotor and Cognitive Rehabilitation Research Center, Department of Neurological and Movement Sciences, University of Verona, P.le L.A. Scuro 10, 37134 Verona, Italy ; Neurorehabilitation Unit, Azienda Ospedaliera Universitaria Integrata, Verona, Italy.
Association between the site of brain injury and poststroke spasticity is poorly understood. The present study investigated whether lesion analysis could document brain regions associated with the development of severe upper limb poststroke spasticity. A retrospective analysis was conducted on 39 chronic stroke patients.
View Article and Find Full Text PDFJ Cogn Neurosci
July 2007
Department of Communication Sciences and Disorders, University of South Carolina, SC 29208, USA.
Measures of brain activation (e.g., changes in scalp electrical potentials) have become the most popular method for inferring brain function.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!