@inproceedings{8bb37584e63b447bb1c2202ae69b9f8a,
title = "Data-driven multisubject neuroimaging analyses for naturalistic stimuli",
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.",
keywords = "CCA, Canonical Correlation Analysis, Hyperscanning, Intersubject Correlation, Multisubject Neuroimaging",
author = "Felix Biessmann and Michael Gaebler and Lamke, {Jan Peter} and Ju, {Ui Jong} and Stefan Hetzer and Christian Wallraven and Muller, {Klaus Robert}",
year = "2014",
doi = "10.1109/PRNI.2014.6858511",
language = "English",
isbn = "9781479941506",
series = "Proceedings - 2014 International Workshop on Pattern Recognition in Neuroimaging, PRNI 2014",
publisher = "IEEE Computer Society",
booktitle = "Proceedings - 2014 International Workshop on Pattern Recognition in Neuroimaging, PRNI 2014",
address = "United States",
note = "4th International Workshop on Pattern Recognition in Neuroimaging, PRNI 2014 ; Conference date: 04-06-2014 Through 06-06-2014",
}