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Pattern Recognition for Neuroimaging Toolbox (PRoNTo)


PRoNTo (Pattern Recognition for Neuroimaging Toolbox) is a software toolbox based on pattern recognition techniques for the analysis of neuroimaging data. Statistical pattern recognition is a field within the area of machine learning which is concerned with automatic discovery of regularities in data through the use of computer algorithms, and with the use of these regularities to take actions such as classifying the data into different categories. In PRoNTo, brain scans are treated as spatial patterns and statistical learning models are used to identify statistical properties of the data that can be used to discriminate between experimental conditions or groups of subjects (classification models) or to predict a continuous measure (regression models).

PRoNTo aims to facilitate the interaction between machine learning and neuroimaging communities. On one hand, the machine learning community can contribute to the toolbox with novel machine learning models. On the other hand, the toolbox provides a variety of tools for the neuroscience and clinical neuroscience communities, enabling them to ask new questions that cannot be easily investigated using existing software and analysis tools.

PRoNTo is distributed for free as copyright software under the terms of the GNU General Public License as published by the Free Software Foundation. The development of the toolbox has been supported by the PASCAL Harvest framework and The Wellcome Trust.


  • 30/05/2018 - Come see us at OHBM 2018: We'll present a demo on Wednesday June 20th, 12.45 - 14.45 in Hall 401-403 in addition to our poster (#2299). There will also be a short talk in the OpenScienceRoom (TBA).
  • 30/05/2018 - Tutorial for users and developers at PRNI 2018: National University of Singapore, June 14th 10am - 12.30am.
  • 22/02/2018 - Registration for the next PRoNTo course (14th-15th May 2018) is now open! Please see HERE for programme and how to register.

Getting started

The latest version of the software can be downloaded here. For a description of all of PRoNTo's functionalities, please consult the manual, here. Several PRoNTo courses will take place throughout the year. These courses provide an introduction to pattern recognition methods in the context of neuroimaging and an introduction to the toolbox. For more information on the next courses and to download the slides from previous ones, see here.

PRoNTo team

  • Janaina Mourao-Miranda (University College London)
  • Jessica Schrouff (University College London)
  • Christophe Phillips (University of Liege)
  • Maria Joao Rosa (University College London)
  • Jane Rondina (University College London)
  • Andre Marquand (Kings College London)
  • John Ashburner (University College London)
  • Jonas Richiardi (University of Geneva)
  • Carlton Chu (NIH)
  • Joao Matos Monteiro (University College London)
  • Anil Rao (University College London)