title: A stereoscopic system for viewing the temporal evolution of brain activity clusters in response to linguistic stimuli.
abstract: In this paper, we present a novel application,3D+Time Brain View, for the stereoscopic visualization of functional Magnetic Resonance Imaging (fMRI) data gathered from participants exposed to unfamiliar spoken languages. An analysis technique based on Independent Component Analysis (ICA) is used to identify statistically significant clusters of brain activity and their changes over time during different testing sessions. That is, our system illustrates thetemporal evolutionof participants' brain activity as they are introduced to a foreign language through displaying these clusters as they change over time. The raw fMRI data is presented as a stereoscopic pair in an immersive environment utilizing passive stereo rendering. The clusters are presented using a ray casting technique for volume rendering. Our system incorporates the temporal information and the results of the ICA into the stereoscopic 3D rendering, making it easier for domain experts to explore and analyze the data.
authors: School of Information: Science, Technology, and Arts, University of Arizona.
authors: Angus
authors: A
authors: Forbes
authors: School of Information: Science, Technology, and Arts, University of Arizona.
authors: Javier
authors: J
authors: Villegas
authors: School of Information: Science, Technology, and Arts, University of Arizona ; Department of Speech, Language, and Hearing Sciences, The University of Arizona.
authors: Kyle R
authors: KR
authors: Almryde
authors: Department of Speech, Language, and Hearing Sciences, The University of Arizona.
authors: Elena
authors: E
authors: Plante
keywords: fMRI; independent component analysis; language acquisition; stereoscopic visualization; time-series data