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

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.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-000F-89FF-2 Version Permalink: http://hdl.handle.net/11858/00-001M-0000-002B-BFB0-B
Genre: Journal Article

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 Creators:
Heinzle, J.1, 2, Author
Anders, S.1, 3, Author
Bode, Stefan4, 5, 6, 7, Author              
Bogler, Carsten1, 2, 4, Author              
Chen, Yi1, 4, Author              
Cichy, R. M.1, 2, 8, Author
Hackmack, K.1, 2, Author
Kahnt, T.1, 2, 8, Author
Kalberlah, Christian1, 4, Author              
Reverberi, C.1, 2, 9, Author
Soon, C. S.1, 2, 10, Author
Tusche, Anita1, 2, 4, Author              
Weygandt, M.1, 2, Author
Haynes, John-Dylan1, 2, 4, 8, 11, Author              
Affiliations:
1Bernstein Center for Computational Neuroscience, Charité – Universitätsmedizin Berlin, Philippstrasse 13/Haus 6, 10115 Berlin, Germany, ou_persistent22              
2Berlin Center for Advanced Neuroimaging, Charité – Universitätsmedizin Berlin, Berlin, Germany, ou_persistent22              
3Department of Neurology, University of Lübeck, Lübeck, Germany, ou_persistent22              
4Max Planck Fellow Research Group Attention and Awareness, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634553              
5Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634549              
6Department of Neurology, Otto-von-Guericke University Magdeburg, Magdeburg, Germany, ou_persistent22              
7Psychological Sciences, The University of Melbourne, Melbourne, Australia, ou_persistent22              
8Berlin School of Mind and Brain, Humboldt Universität zu Berlin, Berlin, Germany, ou_persistent22              
9Department of Psychology, Università Milano – Bicocca, Milan, Italy, ou_persistent22              
10Duke-NUS Graduate Medical School, Singapore, Singapore, ou_persistent22              
11Exzellenzcluster Neurocure, Charité – Universitätsmedizin Berlin, Berlin, Germany, ou_persistent22              

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Free keywords: Functional neuroimaging ; Multivariate decoding ; Information flow ; Perceptual learning ; Decision making
 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.

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Language(s): eng - English
 Dates: 2012-04-01
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: -
 Identifiers: DOI: 10.1007/s13295-012-0026-9
 Degree: -

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Title: e-Neuroforum: Reviews in Neuroscience
Source Genre: Journal
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Publ. Info: Heidelberg : Spektrum Akademischer Verlag
Pages: - Volume / Issue: 3 (1) Sequence Number: - Start / End Page: 1 - 16 Identifier: ISSN: 1868-856X
CoNE: /journals/resource/1868-856X