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PRoNTo: Pattern Recognition for Neuroimaging Toolbox.

Schrouff, J; Rosa, MJ; Rondina, JM; Marquand, AF; Chu, C; Ashburner, J; Phillips, C; ... Mourão-Miranda, J; + view all (2013) PRoNTo: Pattern Recognition for Neuroimaging Toolbox. Neuroinformatics 10.1007/s12021-013-9178-1. Green open access

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Abstract

In the past years, mass univariate statistical analyses of neuroimaging data have been complemented by the use of multivariate pattern analyses, especially based on machine learning models. While these allow an increased sensitivity for the detection of spatially distributed effects compared to univariate techniques, they lack an established and accessible software framework. The goal of this work was to build a toolbox comprising all the necessary functionalities for multivariate analyses of neuroimaging data, based on machine learning models. The "Pattern Recognition for Neuroimaging Toolbox" (PRoNTo) is open-source, cross-platform, MATLAB-based and SPM compatible, therefore being suitable for both cognitive and clinical neuroscience research. In addition, it is designed to facilitate novel contributions from developers, aiming to improve the interaction between the neuroimaging and machine learning communities. Here, we introduce PRoNTo by presenting examples of possible research questions that can be addressed with the machine learning framework implemented in PRoNTo, and cannot be easily investigated with mass univariate statistical analysis.

Type: Article
Title: PRoNTo: Pattern Recognition for Neuroimaging Toolbox.
Open access status: An open access version is available from UCL Discovery
DOI: 10.1007/s12021-013-9178-1
Publisher version: http:/dx.doi.org/10.1007/s12021-013-9178-1
Language: English
Additional information: This is an open-access article distributed under the terms of the Creative Commons Attribution 2.0 Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. For more details see: http://creativecommons.org/licenses/by/2.0/
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology > Brain Repair and Rehabilitation
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology > Imaging Neuroscience
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery.ucl.ac.uk/id/eprint/1387095
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