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.

Heinzle, J., Anders, S., Bode, S., Bogler, C., Chen, Y., Cichy, R., et al. (2012). Multivariate decoding of fMRI data. NEUROFORUM, 18(1), 160-177 [10.1007/s13295-012-0026-9].

Multivariate decoding of fMRI data

REVERBERI, FRANCO CARLO;
2012

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 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.
Articolo in rivista - Articolo scientifico
Functional neuroimaging; Multivariate decoding; Information flow; Perceptual learning; Decision making
English
2012
18
1
160
177
none
Heinzle, J., Anders, S., Bode, S., Bogler, C., Chen, Y., Cichy, R., et al. (2012). Multivariate decoding of fMRI data. NEUROFORUM, 18(1), 160-177 [10.1007/s13295-012-0026-9].
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/30518
Citazioni
  • Scopus 0
  • ???jsp.display-item.citation.isi??? 1
Social impact