SPM 25: A Major Leap Forward in Neuroimaging Analysis

Thursday 23 January 2025


The world of neuroimaging has just taken a significant leap forward with the release of SPM 25, a major new version of the Statistical Parametric Mapping software package. For over three decades, SPM has been at the forefront of developing methods for testing hypotheses about the brain’s structure and function using data from imaging devices such as MRI and MEG.


This latest update brings together years of research and innovation to provide an unparalleled level of analysis capabilities. One of the most exciting additions is the Multi-Brain Toolbox, which generates population average-shaped brains, enabling more precise spatial normalisation with the option to automatically label brain structures. This is particularly useful for studies involving large datasets or those that require accurate comparisons between individual subjects.


Another significant improvement is the inclusion of methods for spectral decomposition in M/EEG data analysis. This allows researchers to break down complex neural signals into their constituent parts, providing a deeper understanding of brain function and dysfunction. The software also includes support for fusion of different MEG sensor types and EEG sensors in beamforming with pre-whitening, making it easier to combine data from multiple sources.


One of the most innovative aspects of SPM 25 is its ability to handle optically pumped magnetometer (OPM) data. OPMs are a new type of magnetic field sensor that allows for greater mobility and flexibility during neural recordings, opening up new possibilities for research in fields such as epilepsy and cognitive neuroscience.


The software also includes significant advances in Bayesian statistics, including parametric empirical bayes and Bayesian model reduction. These methods enable researchers to test hypotheses about the similarities and differences between individual subjects with unprecedented precision and accuracy.


In addition to its technical capabilities, SPM 25 has been designed with accessibility in mind. The software is now fully compatible with Python, making it easier for researchers to integrate into their existing workflows. A standalone version of the software can also be run from the command line without requiring a MATLAB license, allowing for greater flexibility and automation.


Overall, SPM 25 represents a major milestone in the field of neuroimaging analysis, providing researchers with powerful new tools to explore the workings of the human brain. With its cutting-edge methods and user-friendly interface, this software is set to revolutionise our understanding of brain function and dysfunction, ultimately leading to better treatments and therapies for a wide range of neurological and psychiatric disorders.


Cite this article: “SPM 25: A Major Leap Forward in Neuroimaging Analysis”, The Science Archive, 2025.


Neuroimaging, Statistical Parametric Mapping, Spm 25, Brain Function, Neurology, Psychiatry, Meg, Mri, Eeg, Optically Pumped Magnetometer, Bayesian Statistics


Reference: Tim M. Tierney, Nicholas A. Alexander, Nicole Labra Avila, Yael Balbastre, Gareth Barnes, Yulia Bezsudnova, Mikael Brudfors, Korbinian Eckstein, Guillaume Flandin, Karl Friston, et al., “SPM 25: open source neuroimaging analysis software” (2025).


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