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Multivariate decoding of fMRI data: Towards a content-based cognitive neuroscience

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/persons/resource/persons19557

Bode,  Stefan
Max Planck Fellow Research Group Attention and Awareness, MPI for Human Cognitive and Brain Sciences, Max Planck Society;
Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society;
Department of Neurology, Otto-von-Guericke University Magdeburg, Magdeburg, Germany;
Psychological Sciences, The University of Melbourne, Melbourne, Australia;

/persons/resource/persons19558

Bogler,  Carsten
Max Planck Fellow Research Group Attention and Awareness, MPI for Human Cognitive and Brain Sciences, Max Planck Society;
Bernstein Center for Computational Neuroscience, Charité – Universitätsmedizin Berlin, Philippstrasse 13/Haus 6, 10115 Berlin, Germany;
Berlin Center for Advanced Neuroimaging, Charité – Universitätsmedizin Berlin, Berlin, Germany;

/persons/resource/persons19586

Chen,  Yi
Max Planck Fellow Research Group Attention and Awareness, MPI for Human Cognitive and Brain Sciences, Max Planck Society;
Bernstein Center for Computational Neuroscience, Charité – Universitätsmedizin Berlin, Philippstrasse 13/Haus 6, 10115 Berlin, Germany;

/persons/resource/persons19762

Kalberlah,  Christian
Max Planck Fellow Research Group Attention and Awareness, MPI for Human Cognitive and Brain Sciences, Max Planck Society;
Bernstein Center for Computational Neuroscience, Charité – Universitätsmedizin Berlin, Philippstrasse 13/Haus 6, 10115 Berlin, Germany;

/persons/resource/persons20056

Tusche,  Anita
Max Planck Fellow Research Group Attention and Awareness, MPI for Human Cognitive and Brain Sciences, Max Planck Society;
Bernstein Center for Computational Neuroscience, Charité – Universitätsmedizin Berlin, Philippstrasse 13/Haus 6, 10115 Berlin, Germany;
Berlin Center for Advanced Neuroimaging, Charité – Universitätsmedizin Berlin, Berlin, Germany;

/persons/resource/persons19699

Haynes,  John-Dylan
Max Planck Fellow Research Group Attention and Awareness, MPI for Human Cognitive and Brain Sciences, Max Planck Society;
Bernstein Center for Computational Neuroscience, Charité – Universitätsmedizin Berlin, Philippstrasse 13/Haus 6, 10115 Berlin, Germany;
Berlin Center for Advanced Neuroimaging, Charité – Universitätsmedizin Berlin, Berlin, Germany;
Berlin School of Mind and Brain, Humboldt Universität zu Berlin, Berlin, Germany;
Exzellenzcluster Neurocure, Charité – Universitätsmedizin Berlin, Berlin, Germany;

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Citation

Heinzle, J., Anders, S., Bode, S., Bogler, C., Chen, Y., Cichy, R. M., et al. (2012). Multivariate decoding of fMRI data: Towards a content-based cognitive neuroscience. e-Neuroforum: Reviews in Neuroscience, 3(1), 1-16. doi:10.1007/s13295-012-0026-9.


Cite as: http://hdl.handle.net/11858/00-001M-0000-000F-89FF-2
Abstract
The advent of functional magnetic resonance imaging (fMRI) of brain function 20 years ago has provided a new methodology for non-invasive measurement of brain function that is now widely used in cognitive neuroscience. Traditionally, fMRI data has been analyzed looking for overall activity changes in brain regions in response to a stimulus or a cognitive task. Now, recent developments have introduced more elaborate, content-based analysis techniques. When multivariate decoding is applied to the detailed patterning of regionally-specific fMRI signals, it can be used to assess the amount of information these encode about specific task-variables. Here we provide an overview of several developments, spanning from applications in cognitive neuroscience (perception, attention, reward, decision making, emotional communication) to methodology (information flow, surface-based searchlight decoding) and medical diagnostics.