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01.07.2014 | Software Original Article

MANIA—A Pattern Classification Toolbox for Neuroimaging Data

verfasst von: Dominik Grotegerd, Ronny Redlich, Jorge R. C. Almeida, Mona Riemenschneider, Harald Kugel, Volker Arolt, Udo Dannlowski

Erschienen in: Neuroinformatics | Ausgabe 3/2014

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Abstract

Conventional univariate statistics are common and widespread in neuroimaging research. However, functional and structural MRI data reveal a multivariate nature, since neighboring voxels are highly correlated and different localized brain regions activate interdependently. Multivariate pattern classification techniques are capable of overcoming shortcomings of univariate statistics. A rising interest in such approaches on neuroimaging data leads to an increasing demand of appropriate software and tools in this field. Here, we introduce and release MANIA—Machine learning Application for NeuroImaging Analyses. MANIA is a Matlab based software toolbox enabling easy pattern classification of neuroimaging data and offering a broad assortment of machine learning algorithms and feature selection methods. Between groups classifications are the main scope of this software, for instance the differentiation between patients and controls. A special emphasis was placed on an intuitive and easy to use graphical user interface allowing quick implementation and guidance also for clinically oriented researchers. MANIA is free and open source, published under GPL3 license. This work will give an overview regarding the functionality and the modular software architecture as well as a comparison between other software packages.

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Titel: MANIA—A Pattern Classification Toolbox for Neuroimaging Data
verfasst von: Dominik Grotegerd
Ronny Redlich
Jorge R. C. Almeida
Mona Riemenschneider
Harald Kugel
Volker Arolt
Udo Dannlowski
Publikationsdatum: 01.07.2014
Verlag: Springer US
Erschienen in: Neuroinformatics / Ausgabe 3/2014
Print ISSN: 1539-2791
Elektronische ISSN: 1559-0089
DOI: https://doi.org/10.1007/s12021-014-9223-8

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