• DocumentCode
    2252409
  • Title

    FMRI decoding of intentions: Compositionality, hierarchy and prospective memory

  • Author

    Haynes, John-Dylan ; Wisniewski, David ; Gorgen, Kai ; Momennejad, Ida ; Reverberi, Carlo

  • Author_Institution
    Bernstein Center for Comput. Neurosci., Charite - Universitatsmed. Berlin, Berlin, Germany
  • fYear
    2015
  • fDate
    12-14 Jan. 2015
  • Firstpage
    1
  • Lastpage
    3
  • Abstract
    In recent years multivariate decoding has allowed to test where and how mental representations can be decoded from neuroimaging signals, which sheds light on how these representations are encoded in the brain. In one line of experiments, we investigated how intentions are encoded in fMRI signals, thus revealing information in medial and lateral prefrontal regions. These informative neural representations were even present prior to the person´s awareness of their chosen intention. In comparison, for cued intentions we found information predominantly in lateral, but not medial prefrontal cortex. Intention coding in prefrontal cortex followed a compositional code and could also be observed across extended delays during which participants were busy performing other tasks. Taken together, our results suggest a systematic, compositional and hierarchical code in prefrontal cortex which intentions are encoded across delays while the mind is busy working on other tasks.
  • Keywords
    biomedical MRI; brain; image coding; medical image processing; neurophysiology; FMRI decoding-of-intentions; brain encoding; compositional code; compositionality memory; extended delays; fMRI signal encoding; hierarchy memory; informative neural representations; intention coding; lateral prefrontal regions; medial prefrontal regions; multivariate decoding; neuroimaging signals; person awareness; prefrontal cortex; prospective memory; Decision support systems; Decoding; Libet-experiment; fMRI; intention; multivariate decoding; prospectiv memory; task set;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Brain-Computer Interface (BCI), 2015 3rd International Winter Conference on
  • Conference_Location
    Sabuk
  • Print_ISBN
    978-1-4799-7494-8
  • Type

    conf

  • DOI
    10.1109/IWW-BCI.2015.7073031
  • Filename
    7073031