A new software tool for analyzing BOLD fMRI during movie watching

Abstract

Event Abstract Back to Event A new software tool for analyzing BOLD fMRI during movie watching Jukka-Pekka Kauppi1*, Iiro Jaaskelainen2, Mikko Sams2 and Jussi Tohka1 1 Tampere University of Technology, Finland 2 Helsinki University of Technology, Finland We present a novel model-free method called Localized Similarity Analysis (LSA) for examining similarities between subjects in brain blood-oxygenation level dependent (BOLD) responses. The primary purpose is to facilitate analysis of group-fMRI data using natural stimulation, for example when subjects are watching movies or playing computer games while fMRI is recorded (for a review, see Spiers and Maguire, 2007). Localization in space, time and frequency was obtained by calculating voxel-wise average correlation across subjects in several frequency sub-bands and time-frames. Statistical tools for making inferences about the localized intersubject similarities are also presented. Furthermore, we present a new, graphical user interface guided MATLAB (http://www.mathworks.com) software package that has been designed for easy exploration and visualization of the results. It is important to have flexible tools for data visualization because LSA results in five-dimensional datasets (time, frequency, and three spatial dimensions). The visualization software and all necessary tools for performing LSA are freely available (http://www.cs.tut.fi/~kauppij/). Applying our novel analysis algorithms to a dataset collected from 12 subjects during watching the movie “Crash” (Lions Gate Films, 2005; see Jaaskelainen et. al, 2008 for more details of the experiment) revealed high intersubject synchronization in auditory and visual cortices across all 12 subjects. Interestingly, we also found frontal cortical intersubject synchronization which was exclusively located in very low frequencies (less than 0.02 Hz). Further analysis revealed that low frequency band frontal polar intersubject synchronization predicted the level of self-rated arousal. A detailed inspection of the movie revealed that high intersubject synchronization in frontal pole was associated with those movie scenes where characters were involved in threatening or violent situations and/or their behavior reflected high risk taking. These preliminary findings show that LSA is a useful tool for examining highly complex stimulus settings and can be used to gain knowledge, e.g., about higher cognitive functions such as social cognition. Conference: Neuroinformatics 2009, Pilsen, Czechia, 6 Sep - 8 Sep, 2009. Presentation Type: Oral Presentation Topic: Neuroimaging Citation: Kauppi J, Jaaskelainen I, Sams M and Tohka J (2019). A new software tool for analyzing BOLD fMRI during movie watching. Front. Neuroinform. Conference Abstract: Neuroinformatics 2009. doi: 10.3389/conf.neuro.11.2009.08.032 Copyright: The abstracts in this collection have not been subject to any Frontiers peer review or checks, and are not endorsed by Frontiers. They are made available through the Frontiers publishing platform as a service to conference organizers and presenters. The copyright in the individual abstracts is owned by the author of each abstract or his/her employer unless otherwise stated. Each abstract, as well as the collection of abstracts, are published under a Creative Commons CC-BY 4.0 (attribution) licence (https://creativecommons.org/licenses/by/4.0/) and may thus be reproduced, translated, adapted and be the subject of derivative works provided the authors and Frontiers are attributed. For Frontiers’ terms and conditions please see https://www.frontiersin.org/legal/terms-and-conditions. Received: 21 May 2009; Published Online: 09 May 2019. * Correspondence: Jukka-Pekka Kauppi, Tampere University of Technology, Tampere, Finland, jukka-pekka.kauppi@helsinki.fi Login Required This action requires you to be registered with Frontiers and logged in. To register or login click here. Abstract Info Abstract The Authors in Frontiers Jukka-Pekka Kauppi Iiro Jaaskelainen Mikko Sams Jussi Tohka Google Jukka-Pekka Kauppi Iiro Jaaskelainen Mikko Sams Jussi Tohka Google Scholar Jukka-Pekka Kauppi Iiro Jaaskelainen Mikko Sams Jussi Tohka PubMed Jukka-Pekka Kauppi Iiro Jaaskelainen Mikko Sams Jussi Tohka Related Article in Frontiers Google Scholar PubMed Abstract Close Back to top Javascript is disabled. Please enable Javascript in your browser settings in order to see all the content on this page.