Data-driven multisubject neuroimaging analyses for naturalistic stimuli

Felix Biessmann, Michael Gaebler, Jan Peter Lamke, Ui Jong Ju, Stefan Hetzer, Christian Wallraven, Klaus Muller

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A central question in neuroscience is how the brain reacts to real world sensory stimuli. Naturalistic and complex (e.g. movie) stimuli are increasingly used in empirical research but their analysis often relies on considerable human efforts to label or extract stimulus features. Here we present data-driven analysis strategies that help to obtain interpretable results from multisubject neuroimaging data when complex movie stimuli are used. These analyses a) enable localization and visualization of brain activity using standard statistical parametric maps in the subspace of brain activity shared between subjects and b) facilitate interpretation of intersubject correlations. We show experimental results obtained from 50 subjects.

Original languageEnglish
Title of host publicationProceedings - 2014 International Workshop on Pattern Recognition in Neuroimaging, PRNI 2014
PublisherIEEE Computer Society
ISBN (Print)9781479941506
DOIs
Publication statusPublished - 2014 Jan 1
Event4th International Workshop on Pattern Recognition in Neuroimaging, PRNI 2014 - Tubingen, Germany
Duration: 2014 Jun 42014 Jun 6

Other

Other4th International Workshop on Pattern Recognition in Neuroimaging, PRNI 2014
CountryGermany
CityTubingen
Period14/6/414/6/6

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Biomedical Engineering

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  • Cite this

    Biessmann, F., Gaebler, M., Lamke, J. P., Ju, U. J., Hetzer, S., Wallraven, C., & Muller, K. (2014). Data-driven multisubject neuroimaging analyses for naturalistic stimuli. In Proceedings - 2014 International Workshop on Pattern Recognition in Neuroimaging, PRNI 2014 [6858511] IEEE Computer Society. https://doi.org/10.1109/PRNI.2014.6858511