Multivariate dekodierung von fMRT-daten: Auf dem weg zu einer inhaltsbasierten kognitiven neurowissenschaft

Translated title of the contribution: Multivariate decoding of fMRI data: On the way to a contents-based cognitive neuroscience

Jakob Heinzle, Silke Anders, Stefan Bode, Carsten Bogler, Yi Chen, Radoslaw M. Cichy, Kerstin Hackmack, Thorsten Kahnt, Christian Kalberlah, Carlo Reverberi, Chun Siong Soon, Anita Tusche, Martin Weygandt, John Dylan Haynes*

*Corresponding author for this work

Research output: Contribution to journalReview article


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 over 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.

Original languageGerman
Pages (from-to)160-177
Number of pages18
Issue number1
Publication statusPublished - Feb 1 2012



  • Decision making
  • Functional neuroimaging
  • Information flow
  • Multivariate decodierung
  • Perceptional learning

ASJC Scopus subject areas

  • Neurology
  • Clinical Neurology

Cite this

Heinzle, J., Anders, S., Bode, S., Bogler, C., Chen, Y., Cichy, R. M., ... Haynes, J. D. (2012). Multivariate dekodierung von fMRT-daten: Auf dem weg zu einer inhaltsbasierten kognitiven neurowissenschaft. Neuroforum, 18(1), 160-177.